SlideShare a Scribd company logo
International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol. 13, No. 4, December 2022, pp. 2405~2413
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v13.i4.pp2405-2413  2405
Journal homepage: http://ijpeds.iaescore.com
An efficient of estimation the load profile analysis of photo
voltaic system with different shading of local city
Ali Sabri Allw1
, Ahmed Hussein Duhis2
, Ali Al-Ghanimi3
1
Department of Energy Engineering, Collage of Engineering Almusayb/University of Babylon, Babylon, Iraq
2
Electrical Power Techniques Engineering Department, Technical College/AL- Mausaib,
Al-Furat Al-Awsat Technical University, Najaf, Iraq
3
Department of Electrical Engineering, University of Kufa, Kufa, Iraq
Article Info ABSTRACT
Article history:
Received Jun 7, 2022
Revised Jul 29, 2022
Accepted Aug 13, 2022
In this paper, we analysis the last technology of photovoltaic (PV) system and
the main effective factors of operation in unique efficiency and optimize
performance. the first of all we take the general view of physical aspects of
sun light and motion of earth with respect of sun position, and analysis of light
spectrum and its effect for each regen from spectrum on PV. We illustrated
the results of variation of irradiance from deferent sites and show size system
for same energy demand. We start by analysis of load-by-load profile working
and go through to specify the economic azimuth degree and altitude degree
depend on load profile and final put some technical suggestions to minimize
the effect of shading and benefit from using a new technology by face shield
(half cut cell). These calculations are proposed to make available well
originated and equivalent important information so as to allow PV strategies
to change quicker obsessed by arenas of application with different shading of
local city in AL-Mausaib Babylon, Iraq. The ratios of shading conditions
(10%, 25%, 50%, 75%) and without shading were used as effectiveness
restrictions. The outcomes confirmation that the performance of PV system is
extensively reduced and the system can’t control the batteries, if the shading
close 75% or additional for single panel.
Keywords:
Energy storage system
Half cut cell
Load profile
Partial shading conditions
Solar irradiance
This is an open access article under the CC BY-SA license.
Corresponding Author:
Ali Sabri Allw
Department of Energy Engineering, Collage of Engineering Almusayb/University of Babylon
Al Najaf's St., Al Hillah, Babylon, Iraq
Email: met.ali.sabry@uobabylon.edu.iq
1. INTRODUCTION
Photovoltaic (PV) energy amounts are surrounded by the maximum mature renewable energies at
present available. On the other hand, two problems continue in the technique of its huge utilization all over the
world: efficiency and obscurities [1]. Effectiveness is the difficult of exactly how to create PV sections
transform more light into electricity, despite the fact that shadows is the badly-behaved of how to take full
advantage of their introduction to light once positioned.
By filtering the light that sheens over a PV, shadows decrease its obtainable existing [1]. This outcome
is improved as soon as only share of the PV is shaded, affecting modifications among cells associated in
sequences, making hot spots, and possibly destructive the PV [2]. This be able to be diminished by the use of
BPD, on the other hand these reason additional difficulties. BPD do not resolve the problematic of irregular
current construction between the sunny and unshaded PV [3], [4]. A number of scientists have calculated
methods to replace BPDs and stability the current fabrication, leading to a prosperity of information and
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413
2406
resolutions presently available in [4]. In this paper we will gone to take several mothed and soft wear to
optimize the max power point with respect to load profile analysis and design shaded - fault detector circuit.
A prototypical is applied to designate the power produced by the PV panels PPV, which be influenced
by fundamentally on the measured radiation (G) & (Ta) [5]. The classical system agrees to the generated current
Ipv to be achieved in (1) and (5). At that moment, the value PPV is achieved by increasing the (V with I) [5], [6].
𝐼𝑝𝑣 = 𝑛𝑝 (𝐼𝑝ℎ − 𝐼𝑟 (𝑒𝑥𝑝 (
𝑉𝑐+𝐼𝑃𝑉𝑅𝑠
𝑉𝑡−𝑇𝑎
) − 1)) (1)
𝐼𝑝ℎ =
𝐺
𝐺0
𝐼𝑠𝑐 (2)
𝐼𝑠𝑐 = 𝐼𝑠𝑐 − 𝑇𝑟𝑒𝑓 (1 + (𝑎(𝑇𝑎 − 𝑇𝑟𝑒𝑓))) (3)
𝐼𝑟 = 𝐼𝑟 − 𝑇𝑟𝑒𝑓 (
𝑇𝑎
𝑇𝑟𝑒𝑓
)
3
𝑛
𝑒
(
−𝑞𝑉𝑔
𝑛𝑘
(
1
𝐼𝑎
−
1
𝐼𝑟𝑒𝑓
))
(4)
𝐼𝑟 − 𝑇𝑟𝑒𝑓 =
𝐼𝑠𝑐−𝑇𝑟𝑒𝑓
𝑞𝑉𝑐
𝑒
𝑛𝑘𝑇𝑟𝑒𝑓−1
(5)
− Ipv: the assessed PV current (A)
− Iph: the generated photo-current at an agreed irradiance G (A)
− Isc: the short circuit current for an assumed temperature Ta (A)
− Ir: the reverse saturation I for a given temperature Ta (A)
− Ir-Tref: the reverse saturation current for the reference temperature Tref (A), Then, the system is used to track
the maximum power point (MPP) & MPPT.
The system is designed and analyzed PV, we have taken characteristic of light come from sun and
effects the first effect is spectrum of beam light consist the three regen (UV) which have short long wave it
mean cause of degradation in silicon and plastic material, (visible) light which it the useful band to generate
electric by PV panel it have medium long wave, and third one is (IR) which have longest long wave the [5]
mean effect of (IR) is heat this effect not usefully for traditional (PV) panel because increase in temperature let
to descries in efficiency as Figure 1.
Show classification for PV schemes with extra purpose in the resulting we contemporaneous the
maximum significant factors. On scheme level a number of percentages can be measured to rate a PV scheme´s
parameters. The parameters percentage PR of a standard PV scheme is assumed [7], [8]:
𝑃𝑅 =
∑ 𝐸𝑁𝐴𝐶,𝑖
𝑖
∑ 𝑃𝑆𝑇𝐶(
𝐺𝑃𝑂𝐴
𝐺𝑆𝑇𝐶
)
𝑖
(6)
− ENAC = dignified AC electrical generation (kW)
− PSTC = summation of installed modules’ power rating (kW)
− GPOA = dignified irradiance in the plane of array (POA) (W/m2
)
− i = guide a group of quantity outcomes at the identical period.
− GSTC = irradiance at normal test conditions (STC) (1000 W/m2
) [9].
Used for remaining joined PV schemes with or without battery-operated the grade of intake is
specified:
𝐸𝑠𝑒𝑙𝑓𝑠𝑢𝑓 =
∑ 𝑃𝑃𝑉−𝑠𝑒𝑙𝑓−𝑐𝑜𝑛,𝑖
𝑖
∑ 𝑃𝑃𝑉−𝐴𝐶,𝑖
𝑖
(7)
and the grade of self-sufficiency is assumed as a result of:
𝐸𝑠𝑒𝑙𝑓𝑠𝑢𝑓 =
∑ 𝑃𝑃𝑉−𝑠𝑒𝑙𝑓−𝑐𝑜𝑛,𝑖
𝑖
∑ 𝑃𝐴𝐶−𝐿𝑜𝑎𝑑,𝑖
𝑖
(8)
The system efficiency (ηSys) defines in (9):
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw)
2407
𝜂𝑆𝑦𝑠 =
𝐸𝑢𝑠𝑒𝑑
𝐸𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑑
(9)
The second aspect effect on performance of (PV) air mass (AM) this expiration is explaining the angle
of insolation (w/m2
) it varying with seasons and it’s come from variation angle between earth and sun in another
word (cos α) effect as shown in Figure 2 [10]. For purpose, PV was improved and used for an optimal method
of the energy in the network in the presence of PV power plants and battery energy storage systems [11].
Figure 1. Insolation spectrum
Figure 2. Variation of angle earth with sun
2. RESEARCH METHOD
From above when we want to design a (PV) system, we have to compute and analysis the load profile
it contains a masseur the load and time of operation with respect of sun time in Figures 3(a) and 3(b) and
Figure 4 schedule of load kw/time operation in this paper we take a simple assumes to design (Pv) system in
AL-Mausaib Technical college (GPS:32.78/44.39) Due to make analysis of load profile and matching it with
solar irradiation specification at site of college. We can see that peak load at (8:00 am to 11: 00 am) so it will
be useful to shift the azimuth degree +15 to ESTE to optimize with peak load and avoid unnecessary operation
at peak sun because there is high amount of infrared and UV that Couse fast degradation for a long time of
working [12]. If we have high subsets of tariff from local network and high fed in tariff, we can cell energy
and for that case we can shift azimuth to -15, after 2:00 pm where there no load in building the overall power
generation in PV goes to as fed tariff, from above cures we suggest to shift azimuth angle by +15 degree from
0 degree and 45 degrees for altitude.
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413
2408
(a)
(b)
Figure 3. The system analysis and evaluation depend on (a) load profile AL-Mausaib technical college and
(b) load profile analysis
Figure 4. Altitude and azimuth curve [10]
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw)
2409
3. RESULTS AND DISCUSSION
By using PVS soft wear we get the rustle of performance and compare with the traditional way to
install at (0-30) degree azimuth altitude the idea is to optimize the operation of PV and load and minimize the
degradation of panel, Figure 5 shot screen of analysis from Pv sys soft wear that show performance of system
at 30 altitudes 0 azimuth compare with Figure 6 same system at 45 altitudes and 15 azimuths to show the effect
of amount of irradiance (kw.h/m2
) for different area. We take Berman north of Germany the Figure 7 show
performance of system for same size [13]−[17].
The most important true that not all time need to fit tracker in actually it depends on purpose of
operation and your site on earth that will be clear if we take same assume of project to Germany were the less
quantity of irradiation compare to Iraq or middle east in Figure 7. For this resolve, the optimal location, size,
and type of DG units and the load profile analysis of photo voltaic system with different shading and the
process approach of SVCs were determined with reference to the local city [18].
Figure 5. The analysis from Pv system soft wear with different cases
Figure 6. The analysis from Pv sys soft wear with different parameters and angles
The second obstacle facing (Pv) is shading come from natural impact like cloud of dust or un natural
impact like rapture in panel the solution suggests to minimize effect of shading are [16]−[21]:
− Use soft wear like sketch up to optimize the best location of the panel and avoid natural shadow during all
season by change time during day over all months of year we can see the effect shadow come from local
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413
2410
building or (PV) panels itself the benefit from program it's you can make simulation of distribution of panels
with local environment in same geographical point Figure 8.
− By using face shell panel (half cut cell) to reduce aria of effect of shadow as Figures 9(a) and 9(b) and
reduce losses because current will divide into two parts inside panel that men less power losses.
Where:
𝑝 = 𝐼2
𝑅 (10)
This type of cell using both sides to produce energy depend on ELPEDO effect that increase efficiency
by 5% [12]. For collectively energy transformation path, ηSys is found at full and partial load cases (100%,
75%, 50%, 25%, 10%, 5% of maximum power) [22]−[25]. The power flow in the Micro grid can be achieved,
the THD can be improved, and the voltage profile can be controlled. A graphical interface was also
technologically advanced to show all the results prepared by the algorithm, and additional data for the states
of power systems, voltage profiles, and modification system [26]. Table 1 shows the radiation data in Iraq with
different months and days to reach the maximum values of an irradiation power (KWh/m2
) with different tests
and cases for experimental part.
Figure 7. The system output energy analysis for Berman north of Germany
Figure 8. Processing shadow on the site by the sketch up soft wear
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw)
2411
(a)
(b)
Figure 9. The setup of a panel solar cell with (a) shell panel of half cut cell and (b) half cut cell with H
section
Table 1. Radiation data in Iraq
Month
Irradiation data on the
horizontal plane (KWh/m2
)
Irradiation data on the
optimal plane (KWh/m2
)
Direct irradiation
(KWh/m2
)
January 78.7 122.5 110.3
February 119.2 134.88 134.87
March 159.33 186.3 201.33
April 205.67 214.2 208.9
May 220.67 219.9 237.3
June 233.44 229.1 250.89
July 245.34 240.9 292.9
August 228.22 223.9 266.8
September 190.33 215.4 234.8
October 182.2 202.66 210.08
November 112.33 159.45 133.4
December 84.66 111.23 90.98
4. CONCLUSIONS AND FUTURE WORK
To enhancement the performance and efficiency of (PV) system there are two topics the first one is
understood the physic of sun light and the effect of earth motion with respect to sun and the second is proper
design of PV which come from proper analysis of load profile and high quality of (PV) panel. As we seen in
compart between deferent area for same system required there are big variation in system size come from
amount of insolation where in case of Iraq the average annual per day irradiance is 5.5 KWh/m2
while in north
of Germany -Berman the average annual per day irradiance 3 KWh/m2
the core problem facing operation (PV)
is middle Este is heating come from high insolation witch content 52% infrared radiation that led to descries
efficiency, so that will be useful to research in cooling system for PV panel. To calculate the control factors,
the suggested system considers power stability restraints for example, availability, storage element state of
 ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413
2412
charge, and load. In conclusion, a parameter is planned to reduce the outcome of different environmental and
functioning features to enhance the performance of solar PV system.
REFERENCES
[1] A. Mahesh and K. S. Sandhu, “Hybrid wind/photovoltaic energy system developments: Critical review and findings,” Renewable
and Sustainable Energy Reviews, vol. 52, pp. 1135-1147, 2015, doi: 10.1016/j.rser.2015.08.008.
[2] A. Bidram, A. Davoudi, and R. S. Balog, “Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays,”
IEEE Journal of Photovoltaics, vol. 2, no. 4, pp. 532-546, 2012, doi: 10.1109/JPHOTOV.2012.2202879
[3] H. Kawamura et al., “Simulation of I–V characteristics of a PV module with shaded PV cells,” Solar Energy Materials and Solar
Cells, vol. 75, no. 3-4, pp. 613-621, 2003, doi: 10.1016/s0927-0248(02)00134-4
[4] M. C. Alonso-Garcia, J. M. Ruiz, and F. Chenlo, “Experimental study of mismatch and shading effects in the I–V characteristic of
a photovoltaic module,” Solar Energy Materials & Solar Cells, vol. 90, no. 3, pp. 329-340, 2006, doi: 10.1016/j.solmat.2005.04.022.
[5] L. Q. Thai and A. T. H. T. Anh, “Design a photovoltaic simulator system based on two-diode model with linear interpolation
method,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 13, no. 2, 2022, doi: 10.11591/ijpeds.
v13.i2. pp856-864
[6] L. F. L. Villa, T.-P. Ho, J.-C. Crebier, and B. Raison, “A power electronics equalizer application for partially shaded photovoltaic
modules,” IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1179-1190, 2013, doi: 10.1109/TIE.2012.2201431
[7] T. Kliment, “Distribution spectra of measured solar radiation on the terrestrial surface,” in IEEE International Symposium on
Logistics and Industrial Informatics, 2011, pp. 225-228, doi: 10.1109/LINDI.2011.6031152.
[8] O. Zebraoui and M. Bouzi, “Improved MPPT controls for a standalone PV/wind/battery hybrid energy system,” International
Journal of Power Electronics and Drive Systems (IJPEDS), vol. 11, no. 2, 2020, doi: 10.11591/ijpeds. v11.i2. pp988-1001.
[9] A. H. Numan, Z. S. Dawood, and H. A. Hussein, “Theoretical and experimental analysis of photovoltaic module characteristics
under different partial shading conditions,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 11, no.
3, 2020, doi: 10.11591/ijpeds. v11.i3. pp1508-1518.
[10] F. I. Mustafa, S. Shakir, F. F. Mustafa, and A. T. Naiyf, “Simple design and implementation of solar tracking system two axis with
four sensors for Baghdad city,” in International Renewable Energy Congress (IREC), 2018, pp. 1-5. doi:
10.1109/IREC.2018.8362577.
[11] D. Gfeller, U. Muntwyler, and L. Borgna, “Testing of multi-MPPT PV inverters: approach and test results,” EU PVSEC.
München/Deutschland, 2016, doi: 10.4229/EUPVSEC20162016-5BV.3.11.
[12] C. Zedak, A. Belfqih, J. Boukherouaa, A. Lekbich, and F. Elmariami, “Energy management system for distribution networks
integrating photovoltaic and storage units,” International Journal of Electrical and Computer Engineering (IJECE), vol. 12, no. 4,
pp. 3352-3364, 2022, doi: 10.11591/ijece. v12i4.pp3352-3364.
[13] H. F. Hashim, M. M. Kareem, W. K. Al-Azzawi, and A. H. Ali, “Improving the performance of photovoltaic module during partial
shading using ANN,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 12, no. 4, pp. 2435-2442, 2021,
doi: 10.11591/ijpeds. v12.i4.pp 2435-2442.
[14] W. Martiningsih et al., “Study and analysis of shading effects on photovoltaic application system,” MATEC Web of Conferences,
vol. 218, 2018, doi: 10.1051/matecconf/201821802004,
[15] S. M. MacAlpine, R. W. Erickson, and M. J. Brandemuehl, “Characterization of power optimizer potential to increase energy
capture in photovoltaic systems operating under no uniform conditions,” IEEE Transactions on Power Electronics, vol. 28, no. 6,
pp. 2936-2945, 2013, doi: 10.1109/TPEL.2012.2226476.
[16] B. B. Pannebakker, A. C. de Waal, and W. G. J. H. M. van Sark, “Photovoltaics in the shade: one bypass diode per solar cell
revisited,” Progress in Photovoltaics: Research and Applications, vol. 25, no. 10, pp. 836-849, 2017, doi: 10.1002/pip.2898.
[17] K. Sinapis, T. T. H. Rooijakkers, R. Pacheco Bubi, and W. G. J. H. M. Sark, “Effects of solar cell group granularity and modern
system architectures on partial shading response of crystalline silicon modules and systems,” Progress in Photovoltaics: Research
and Applications, vol. 29, no. 9, pp. 977-989, 2021, doi: 10.1002/pip.3420.
[18] J. G. Moorthy, S. Manual, S. Moorthi, and P. Raja, “Performance analysis of solar PV based DC optimizer distributed system with
simplified MPPT method,” SN Applied Sciences, vol. 2, no. 2, 2020, doi: 10.1007/s42452-020-2010-2,
[19] K. Sinapis et al., “A comprehensive study on partial shading response of c-Si modules and yield modeling of string inverter and
module level power electronics,” Solar Energy, vol. 135, pp. 731-741, 2016, doi: 10.1016/j.solener.2016.06.050.
[20] S. K. Das, D. Verma, S. Nema, and R. K. Nema, “Shading mitigation techniques: State-of-the-art in photovoltaic applications,”
Renewable and Sustainable Energy Reviews, vol. 78, pp. 369-390, 2017, doi: 10.1016/j.rser.2017.04.093.
[21] A. P. Yoganandini, and G. S. Anitha, “A modified particle swarm optimization algorithm to enhance MPPT in the PV array,”
International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 5, pp. 5001-5008, 2020, doi: 10.11591/ijece.
v10i5.pp5001-5008.
[22] J. Teo, R. Tan, V. Mok, V. Ramacharamurthy, and C. Tan, “Impact of partial shading on the P-V characteristics and the maximum
power of a photovoltaic string,” Energies, vol. 11, no. 7, 2018, doi: 10.3390/en11071860.
[23] R. Batista, “The impact of shadowing in photovoltaic systems and how to minimize it: An analysis with the PV system Software,”
U. o. G. Master Thesis, Ed., 2018. [Online]. Available: http://www.diva-portal.org/smash/get/diva2:1214973/FULLTEXT01.
[24] K. Hasan, S. B. Yousuf, M. S. H. K. Tushar, B. K. Das, P. Das, and M. S. Islam, “Effects of different environmental and operational
factors on the PV performance: A comprehensive review,” Energy Science & Engineering, vol. 10, no. 2, pp. 656-675, 2021, doi:
10.1002/ese3.1043.
[25] N. W. A. Lidula and A. D. Rajapakse, “Micro grids research: A review of experimental micro grids and test systems,” Renewable
and Sustainable Energy Reviews, vol. 15, no. 1, pp. 186-202, 2011, doi: 10.1016/j.rser.2010.09.041.
[26] G. Ma, R. Gong, Q. Li, and G. Yao, “A improved particle swarm optimization algorithm with dynamic acceleration coefficients,”
Bulletin of Electrical Engineering and Informatics, vol. 5, no. 4, pp. 474-480, 2016, doi: 10.11591/eei. v5i4.561.
Int J Pow Elec & Dri Syst ISSN: 2088-8694 
An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw)
2413
BIOGRAPHIES OF AUTHORS
Ali Sabri Allw is a lecturer in department of Electrical Engineering, Collage of
Engineering, Babylon University, AlmusaybIraq. He is Lecturer graduate in engineering
from Department of Electrical Engineering (PHD), University of Benha in Egypt and did his
thesis in “on-line solution to alleviate the voltage collapse in electrical power systems”. He
has over 12 years of experience in Academics. He has had many published articles indexed
in scoops and has also participated and presented at numerous international conferences. His
research interests include the field of digital design, industrial applications, industrial
electronics, industrial informatics, power electronics, motor drives, renewable energy, FPGA
applications. He can be contacted at email: alihtallw@yahoo.com.
Ahmed Hussein Duhis is a lecturer in Electrical Power Engineering Techniques
Department. Technical College of Al-Mussaib/Al-Furat Al-Awsat Technical University. He
received his BSc. Electrical Engineering., MSc. Laser Engineering. from University of
Technology/Iraq. He is currently a lecturer in Electrical Power Engineering Techniques
Department. He taught many different subjects in electrical engineering and published many
papers. His current research interests include renewable energy, intelligent control and Laser
and its applications. He can be contacted at email: ah.hu.khf@gmail.com.
Ali Al-Ghanimi received his PhD at Swinburne University of Technology,
Melbourne, Australia in the field of Micro-Nano/positioning control systems. He received his
BSc and MSc from the University of Baghdad in 2006 and 2009 respectively both were in
Mechatronics and Robotics Engineering. Currently, He is assistant professor at the
Department of Electrical Engineering at University of Kufa. His research is focused on
designing and implementing control systems for mechatronics application, modelling and
machine learning. He can be contacted at email: alih.alghanimi@uokufa.edu.iq.

More Related Content

PPTX
PPT NSUT.pptx
PDF
Publications_Photovoltaics_Tianhao_Li
PDF
Photovoltaic Training - Session 1 - Design
PDF
Ce32510515
PDF
Ce32510515
PDF
Partial Shading in Building Integrated PV System: Causes, Effects and Mitigat...
PDF
Development of PV array configuration under different partial shading condition
PDF
A Study of Shading Effect on Photovoltaic Modules with Proposed P&O Checking ...
PPT NSUT.pptx
Publications_Photovoltaics_Tianhao_Li
Photovoltaic Training - Session 1 - Design
Ce32510515
Ce32510515
Partial Shading in Building Integrated PV System: Causes, Effects and Mitigat...
Development of PV array configuration under different partial shading condition
A Study of Shading Effect on Photovoltaic Modules with Proposed P&O Checking ...

Similar to An efficient of estimation the load profile analysis of photo voltaic system with different shading of local city (20)

PDF
A Study of Shading Effect on Photovoltaic Modules with Proposed P&O Checking ...
PDF
IRJET- Performance Evaluation of Stand-Alone and on Grid Photovoltaic System ...
PPT
4_5958416552171670667.ppt
PDF
A novel optimization of the particle swarm based maximum power point tracking...
PDF
Ant Colony Optimization for Optimal Photovoltaic Array Reconfiguration under ...
PDF
A Critical Review of Various MPPT Methods of Solar PV System
PDF
Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorit...
DOCX
Maximum Power Point Tracking Method for Single Phase Grid Connected PV System...
PDF
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...
PPTX
5 .Solar Energy and Battery--_--_+_+_-_--_+_+_+_+
PDF
Solar PV Systems For Household Applications
PDF
Energy generation by crystalline silicon photovoltaic network per meter squa...
PDF
An efficient optical inspection of photovoltaic modules deploying edge detec...
PPTX
factor affecting on PV performance
PDF
A Grid-Tied Solar Power System with Harmonic Filter to Enhance Power Quality
PDF
Technical and Economic Performance of 1MW Grid-connected PV system in Saudi A...
PDF
Modeling and Simulation of Grid Connected PV Generation System Using Matlab/S...
PDF
A Uniform Implementation Scheme for Evolutionary Optimization Algorithms and ...
PPTX
Estimating photovoltaic power output under various irradiance level
PDF
A case study in designing and analysis of cost for a solar photo voltaic system
A Study of Shading Effect on Photovoltaic Modules with Proposed P&O Checking ...
IRJET- Performance Evaluation of Stand-Alone and on Grid Photovoltaic System ...
4_5958416552171670667.ppt
A novel optimization of the particle swarm based maximum power point tracking...
Ant Colony Optimization for Optimal Photovoltaic Array Reconfiguration under ...
A Critical Review of Various MPPT Methods of Solar PV System
Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorit...
Maximum Power Point Tracking Method for Single Phase Grid Connected PV System...
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...
5 .Solar Energy and Battery--_--_+_+_-_--_+_+_+_+
Solar PV Systems For Household Applications
Energy generation by crystalline silicon photovoltaic network per meter squa...
An efficient optical inspection of photovoltaic modules deploying edge detec...
factor affecting on PV performance
A Grid-Tied Solar Power System with Harmonic Filter to Enhance Power Quality
Technical and Economic Performance of 1MW Grid-connected PV system in Saudi A...
Modeling and Simulation of Grid Connected PV Generation System Using Matlab/S...
A Uniform Implementation Scheme for Evolutionary Optimization Algorithms and ...
Estimating photovoltaic power output under various irradiance level
A case study in designing and analysis of cost for a solar photo voltaic system
Ad

More from International Journal of Power Electronics and Drive Systems (IJPEDS) (20)

PDF
Comparative study by numerical simulation of two methods for automatic flow c...
PDF
Implementation of artificial intelligence for prediction performance of solar...
PDF
Dynamic fuel cell model improvement based on macroscopic energy representation
PDF
Investigation of common mode voltages of single stage boost inverter for five...
PDF
Dynamic modeling of an open cathode PEM fuel cell for automotive energy manag...
PDF
A modified CPS-PWM for capacitor voltage reduction of MMC based variable spee...
PDF
Firefly analytical hierarchy algorithm for optimal allocation and sizing of D...
PDF
Optimal power flow using archimedes optimizer algorithm
PDF
Economic evaluation of induction motor based on motor’s nameplate data and in...
PDF
Assessment of field oriented induction machine control strategy using new gen...
PDF
A current sensor fault diagnosis method based on phase angle shift technique ...
PDF
Optimized speed control with torque ripple reductions of BLDC motor based on ...
PDF
Design and implementation of DC linear actuator and stepper motor for remote ...
PDF
Milestone of the most used maximum power point tracking in solar harvesting s...
PDF
Intelligent torque observer combined with backstepping sliding-mode control f...
PDF
A novel multilevel inverter with reduced components and minimized voltage unb...
PDF
A synchronization technique for single-phase grid applications
PDF
Torque ripple alleviation of a five-phase permanent magnet synchronous motor ...
PDF
A novel interactive technique for load current harmonic reduction for any ran...
PDF
A 1 MHz soft-switching boost DC-DC converter with matching network
Comparative study by numerical simulation of two methods for automatic flow c...
Implementation of artificial intelligence for prediction performance of solar...
Dynamic fuel cell model improvement based on macroscopic energy representation
Investigation of common mode voltages of single stage boost inverter for five...
Dynamic modeling of an open cathode PEM fuel cell for automotive energy manag...
A modified CPS-PWM for capacitor voltage reduction of MMC based variable spee...
Firefly analytical hierarchy algorithm for optimal allocation and sizing of D...
Optimal power flow using archimedes optimizer algorithm
Economic evaluation of induction motor based on motor’s nameplate data and in...
Assessment of field oriented induction machine control strategy using new gen...
A current sensor fault diagnosis method based on phase angle shift technique ...
Optimized speed control with torque ripple reductions of BLDC motor based on ...
Design and implementation of DC linear actuator and stepper motor for remote ...
Milestone of the most used maximum power point tracking in solar harvesting s...
Intelligent torque observer combined with backstepping sliding-mode control f...
A novel multilevel inverter with reduced components and minimized voltage unb...
A synchronization technique for single-phase grid applications
Torque ripple alleviation of a five-phase permanent magnet synchronous motor ...
A novel interactive technique for load current harmonic reduction for any ran...
A 1 MHz soft-switching boost DC-DC converter with matching network
Ad

Recently uploaded (20)

PPTX
additive manufacturing of ss316l using mig welding
PPTX
Construction Project Organization Group 2.pptx
PDF
PPT on Performance Review to get promotions
PPTX
bas. eng. economics group 4 presentation 1.pptx
PPT
Mechanical Engineering MATERIALS Selection
PDF
R24 SURVEYING LAB MANUAL for civil enggi
PDF
Well-logging-methods_new................
PDF
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
PDF
composite construction of structures.pdf
PPTX
CH1 Production IntroductoryConcepts.pptx
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PDF
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PPTX
Safety Seminar civil to be ensured for safe working.
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
PPTX
Artificial Intelligence
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PPTX
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
additive manufacturing of ss316l using mig welding
Construction Project Organization Group 2.pptx
PPT on Performance Review to get promotions
bas. eng. economics group 4 presentation 1.pptx
Mechanical Engineering MATERIALS Selection
R24 SURVEYING LAB MANUAL for civil enggi
Well-logging-methods_new................
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
composite construction of structures.pdf
CH1 Production IntroductoryConcepts.pptx
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
Embodied AI: Ushering in the Next Era of Intelligent Systems
Safety Seminar civil to be ensured for safe working.
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
Artificial Intelligence
Operating System & Kernel Study Guide-1 - converted.pdf
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx

An efficient of estimation the load profile analysis of photo voltaic system with different shading of local city

  • 1. International Journal of Power Electronics and Drive Systems (IJPEDS) Vol. 13, No. 4, December 2022, pp. 2405~2413 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v13.i4.pp2405-2413  2405 Journal homepage: http://ijpeds.iaescore.com An efficient of estimation the load profile analysis of photo voltaic system with different shading of local city Ali Sabri Allw1 , Ahmed Hussein Duhis2 , Ali Al-Ghanimi3 1 Department of Energy Engineering, Collage of Engineering Almusayb/University of Babylon, Babylon, Iraq 2 Electrical Power Techniques Engineering Department, Technical College/AL- Mausaib, Al-Furat Al-Awsat Technical University, Najaf, Iraq 3 Department of Electrical Engineering, University of Kufa, Kufa, Iraq Article Info ABSTRACT Article history: Received Jun 7, 2022 Revised Jul 29, 2022 Accepted Aug 13, 2022 In this paper, we analysis the last technology of photovoltaic (PV) system and the main effective factors of operation in unique efficiency and optimize performance. the first of all we take the general view of physical aspects of sun light and motion of earth with respect of sun position, and analysis of light spectrum and its effect for each regen from spectrum on PV. We illustrated the results of variation of irradiance from deferent sites and show size system for same energy demand. We start by analysis of load-by-load profile working and go through to specify the economic azimuth degree and altitude degree depend on load profile and final put some technical suggestions to minimize the effect of shading and benefit from using a new technology by face shield (half cut cell). These calculations are proposed to make available well originated and equivalent important information so as to allow PV strategies to change quicker obsessed by arenas of application with different shading of local city in AL-Mausaib Babylon, Iraq. The ratios of shading conditions (10%, 25%, 50%, 75%) and without shading were used as effectiveness restrictions. The outcomes confirmation that the performance of PV system is extensively reduced and the system can’t control the batteries, if the shading close 75% or additional for single panel. Keywords: Energy storage system Half cut cell Load profile Partial shading conditions Solar irradiance This is an open access article under the CC BY-SA license. Corresponding Author: Ali Sabri Allw Department of Energy Engineering, Collage of Engineering Almusayb/University of Babylon Al Najaf's St., Al Hillah, Babylon, Iraq Email: met.ali.sabry@uobabylon.edu.iq 1. INTRODUCTION Photovoltaic (PV) energy amounts are surrounded by the maximum mature renewable energies at present available. On the other hand, two problems continue in the technique of its huge utilization all over the world: efficiency and obscurities [1]. Effectiveness is the difficult of exactly how to create PV sections transform more light into electricity, despite the fact that shadows is the badly-behaved of how to take full advantage of their introduction to light once positioned. By filtering the light that sheens over a PV, shadows decrease its obtainable existing [1]. This outcome is improved as soon as only share of the PV is shaded, affecting modifications among cells associated in sequences, making hot spots, and possibly destructive the PV [2]. This be able to be diminished by the use of BPD, on the other hand these reason additional difficulties. BPD do not resolve the problematic of irregular current construction between the sunny and unshaded PV [3], [4]. A number of scientists have calculated methods to replace BPDs and stability the current fabrication, leading to a prosperity of information and
  • 2.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413 2406 resolutions presently available in [4]. In this paper we will gone to take several mothed and soft wear to optimize the max power point with respect to load profile analysis and design shaded - fault detector circuit. A prototypical is applied to designate the power produced by the PV panels PPV, which be influenced by fundamentally on the measured radiation (G) & (Ta) [5]. The classical system agrees to the generated current Ipv to be achieved in (1) and (5). At that moment, the value PPV is achieved by increasing the (V with I) [5], [6]. 𝐼𝑝𝑣 = 𝑛𝑝 (𝐼𝑝ℎ − 𝐼𝑟 (𝑒𝑥𝑝 ( 𝑉𝑐+𝐼𝑃𝑉𝑅𝑠 𝑉𝑡−𝑇𝑎 ) − 1)) (1) 𝐼𝑝ℎ = 𝐺 𝐺0 𝐼𝑠𝑐 (2) 𝐼𝑠𝑐 = 𝐼𝑠𝑐 − 𝑇𝑟𝑒𝑓 (1 + (𝑎(𝑇𝑎 − 𝑇𝑟𝑒𝑓))) (3) 𝐼𝑟 = 𝐼𝑟 − 𝑇𝑟𝑒𝑓 ( 𝑇𝑎 𝑇𝑟𝑒𝑓 ) 3 𝑛 𝑒 ( −𝑞𝑉𝑔 𝑛𝑘 ( 1 𝐼𝑎 − 1 𝐼𝑟𝑒𝑓 )) (4) 𝐼𝑟 − 𝑇𝑟𝑒𝑓 = 𝐼𝑠𝑐−𝑇𝑟𝑒𝑓 𝑞𝑉𝑐 𝑒 𝑛𝑘𝑇𝑟𝑒𝑓−1 (5) − Ipv: the assessed PV current (A) − Iph: the generated photo-current at an agreed irradiance G (A) − Isc: the short circuit current for an assumed temperature Ta (A) − Ir: the reverse saturation I for a given temperature Ta (A) − Ir-Tref: the reverse saturation current for the reference temperature Tref (A), Then, the system is used to track the maximum power point (MPP) & MPPT. The system is designed and analyzed PV, we have taken characteristic of light come from sun and effects the first effect is spectrum of beam light consist the three regen (UV) which have short long wave it mean cause of degradation in silicon and plastic material, (visible) light which it the useful band to generate electric by PV panel it have medium long wave, and third one is (IR) which have longest long wave the [5] mean effect of (IR) is heat this effect not usefully for traditional (PV) panel because increase in temperature let to descries in efficiency as Figure 1. Show classification for PV schemes with extra purpose in the resulting we contemporaneous the maximum significant factors. On scheme level a number of percentages can be measured to rate a PV scheme´s parameters. The parameters percentage PR of a standard PV scheme is assumed [7], [8]: 𝑃𝑅 = ∑ 𝐸𝑁𝐴𝐶,𝑖 𝑖 ∑ 𝑃𝑆𝑇𝐶( 𝐺𝑃𝑂𝐴 𝐺𝑆𝑇𝐶 ) 𝑖 (6) − ENAC = dignified AC electrical generation (kW) − PSTC = summation of installed modules’ power rating (kW) − GPOA = dignified irradiance in the plane of array (POA) (W/m2 ) − i = guide a group of quantity outcomes at the identical period. − GSTC = irradiance at normal test conditions (STC) (1000 W/m2 ) [9]. Used for remaining joined PV schemes with or without battery-operated the grade of intake is specified: 𝐸𝑠𝑒𝑙𝑓𝑠𝑢𝑓 = ∑ 𝑃𝑃𝑉−𝑠𝑒𝑙𝑓−𝑐𝑜𝑛,𝑖 𝑖 ∑ 𝑃𝑃𝑉−𝐴𝐶,𝑖 𝑖 (7) and the grade of self-sufficiency is assumed as a result of: 𝐸𝑠𝑒𝑙𝑓𝑠𝑢𝑓 = ∑ 𝑃𝑃𝑉−𝑠𝑒𝑙𝑓−𝑐𝑜𝑛,𝑖 𝑖 ∑ 𝑃𝐴𝐶−𝐿𝑜𝑎𝑑,𝑖 𝑖 (8) The system efficiency (ηSys) defines in (9):
  • 3. Int J Pow Elec & Dri Syst ISSN: 2088-8694  An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw) 2407 𝜂𝑆𝑦𝑠 = 𝐸𝑢𝑠𝑒𝑑 𝐸𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑑 (9) The second aspect effect on performance of (PV) air mass (AM) this expiration is explaining the angle of insolation (w/m2 ) it varying with seasons and it’s come from variation angle between earth and sun in another word (cos α) effect as shown in Figure 2 [10]. For purpose, PV was improved and used for an optimal method of the energy in the network in the presence of PV power plants and battery energy storage systems [11]. Figure 1. Insolation spectrum Figure 2. Variation of angle earth with sun 2. RESEARCH METHOD From above when we want to design a (PV) system, we have to compute and analysis the load profile it contains a masseur the load and time of operation with respect of sun time in Figures 3(a) and 3(b) and Figure 4 schedule of load kw/time operation in this paper we take a simple assumes to design (Pv) system in AL-Mausaib Technical college (GPS:32.78/44.39) Due to make analysis of load profile and matching it with solar irradiation specification at site of college. We can see that peak load at (8:00 am to 11: 00 am) so it will be useful to shift the azimuth degree +15 to ESTE to optimize with peak load and avoid unnecessary operation at peak sun because there is high amount of infrared and UV that Couse fast degradation for a long time of working [12]. If we have high subsets of tariff from local network and high fed in tariff, we can cell energy and for that case we can shift azimuth to -15, after 2:00 pm where there no load in building the overall power generation in PV goes to as fed tariff, from above cures we suggest to shift azimuth angle by +15 degree from 0 degree and 45 degrees for altitude.
  • 4.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413 2408 (a) (b) Figure 3. The system analysis and evaluation depend on (a) load profile AL-Mausaib technical college and (b) load profile analysis Figure 4. Altitude and azimuth curve [10]
  • 5. Int J Pow Elec & Dri Syst ISSN: 2088-8694  An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw) 2409 3. RESULTS AND DISCUSSION By using PVS soft wear we get the rustle of performance and compare with the traditional way to install at (0-30) degree azimuth altitude the idea is to optimize the operation of PV and load and minimize the degradation of panel, Figure 5 shot screen of analysis from Pv sys soft wear that show performance of system at 30 altitudes 0 azimuth compare with Figure 6 same system at 45 altitudes and 15 azimuths to show the effect of amount of irradiance (kw.h/m2 ) for different area. We take Berman north of Germany the Figure 7 show performance of system for same size [13]−[17]. The most important true that not all time need to fit tracker in actually it depends on purpose of operation and your site on earth that will be clear if we take same assume of project to Germany were the less quantity of irradiation compare to Iraq or middle east in Figure 7. For this resolve, the optimal location, size, and type of DG units and the load profile analysis of photo voltaic system with different shading and the process approach of SVCs were determined with reference to the local city [18]. Figure 5. The analysis from Pv system soft wear with different cases Figure 6. The analysis from Pv sys soft wear with different parameters and angles The second obstacle facing (Pv) is shading come from natural impact like cloud of dust or un natural impact like rapture in panel the solution suggests to minimize effect of shading are [16]−[21]: − Use soft wear like sketch up to optimize the best location of the panel and avoid natural shadow during all season by change time during day over all months of year we can see the effect shadow come from local
  • 6.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413 2410 building or (PV) panels itself the benefit from program it's you can make simulation of distribution of panels with local environment in same geographical point Figure 8. − By using face shell panel (half cut cell) to reduce aria of effect of shadow as Figures 9(a) and 9(b) and reduce losses because current will divide into two parts inside panel that men less power losses. Where: 𝑝 = 𝐼2 𝑅 (10) This type of cell using both sides to produce energy depend on ELPEDO effect that increase efficiency by 5% [12]. For collectively energy transformation path, ηSys is found at full and partial load cases (100%, 75%, 50%, 25%, 10%, 5% of maximum power) [22]−[25]. The power flow in the Micro grid can be achieved, the THD can be improved, and the voltage profile can be controlled. A graphical interface was also technologically advanced to show all the results prepared by the algorithm, and additional data for the states of power systems, voltage profiles, and modification system [26]. Table 1 shows the radiation data in Iraq with different months and days to reach the maximum values of an irradiation power (KWh/m2 ) with different tests and cases for experimental part. Figure 7. The system output energy analysis for Berman north of Germany Figure 8. Processing shadow on the site by the sketch up soft wear
  • 7. Int J Pow Elec & Dri Syst ISSN: 2088-8694  An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw) 2411 (a) (b) Figure 9. The setup of a panel solar cell with (a) shell panel of half cut cell and (b) half cut cell with H section Table 1. Radiation data in Iraq Month Irradiation data on the horizontal plane (KWh/m2 ) Irradiation data on the optimal plane (KWh/m2 ) Direct irradiation (KWh/m2 ) January 78.7 122.5 110.3 February 119.2 134.88 134.87 March 159.33 186.3 201.33 April 205.67 214.2 208.9 May 220.67 219.9 237.3 June 233.44 229.1 250.89 July 245.34 240.9 292.9 August 228.22 223.9 266.8 September 190.33 215.4 234.8 October 182.2 202.66 210.08 November 112.33 159.45 133.4 December 84.66 111.23 90.98 4. CONCLUSIONS AND FUTURE WORK To enhancement the performance and efficiency of (PV) system there are two topics the first one is understood the physic of sun light and the effect of earth motion with respect to sun and the second is proper design of PV which come from proper analysis of load profile and high quality of (PV) panel. As we seen in compart between deferent area for same system required there are big variation in system size come from amount of insolation where in case of Iraq the average annual per day irradiance is 5.5 KWh/m2 while in north of Germany -Berman the average annual per day irradiance 3 KWh/m2 the core problem facing operation (PV) is middle Este is heating come from high insolation witch content 52% infrared radiation that led to descries efficiency, so that will be useful to research in cooling system for PV panel. To calculate the control factors, the suggested system considers power stability restraints for example, availability, storage element state of
  • 8.  ISSN: 2088-8694 Int J Pow Elec & Dri Syst, Vol. 13, No. 4, December 2022: 2405-2413 2412 charge, and load. In conclusion, a parameter is planned to reduce the outcome of different environmental and functioning features to enhance the performance of solar PV system. REFERENCES [1] A. Mahesh and K. S. Sandhu, “Hybrid wind/photovoltaic energy system developments: Critical review and findings,” Renewable and Sustainable Energy Reviews, vol. 52, pp. 1135-1147, 2015, doi: 10.1016/j.rser.2015.08.008. [2] A. Bidram, A. Davoudi, and R. S. Balog, “Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays,” IEEE Journal of Photovoltaics, vol. 2, no. 4, pp. 532-546, 2012, doi: 10.1109/JPHOTOV.2012.2202879 [3] H. Kawamura et al., “Simulation of I–V characteristics of a PV module with shaded PV cells,” Solar Energy Materials and Solar Cells, vol. 75, no. 3-4, pp. 613-621, 2003, doi: 10.1016/s0927-0248(02)00134-4 [4] M. C. Alonso-Garcia, J. M. Ruiz, and F. Chenlo, “Experimental study of mismatch and shading effects in the I–V characteristic of a photovoltaic module,” Solar Energy Materials & Solar Cells, vol. 90, no. 3, pp. 329-340, 2006, doi: 10.1016/j.solmat.2005.04.022. [5] L. Q. Thai and A. T. H. T. Anh, “Design a photovoltaic simulator system based on two-diode model with linear interpolation method,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 13, no. 2, 2022, doi: 10.11591/ijpeds. v13.i2. pp856-864 [6] L. F. L. Villa, T.-P. Ho, J.-C. Crebier, and B. Raison, “A power electronics equalizer application for partially shaded photovoltaic modules,” IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1179-1190, 2013, doi: 10.1109/TIE.2012.2201431 [7] T. Kliment, “Distribution spectra of measured solar radiation on the terrestrial surface,” in IEEE International Symposium on Logistics and Industrial Informatics, 2011, pp. 225-228, doi: 10.1109/LINDI.2011.6031152. [8] O. Zebraoui and M. Bouzi, “Improved MPPT controls for a standalone PV/wind/battery hybrid energy system,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 11, no. 2, 2020, doi: 10.11591/ijpeds. v11.i2. pp988-1001. [9] A. H. Numan, Z. S. Dawood, and H. A. Hussein, “Theoretical and experimental analysis of photovoltaic module characteristics under different partial shading conditions,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 11, no. 3, 2020, doi: 10.11591/ijpeds. v11.i3. pp1508-1518. [10] F. I. Mustafa, S. Shakir, F. F. Mustafa, and A. T. Naiyf, “Simple design and implementation of solar tracking system two axis with four sensors for Baghdad city,” in International Renewable Energy Congress (IREC), 2018, pp. 1-5. doi: 10.1109/IREC.2018.8362577. [11] D. Gfeller, U. Muntwyler, and L. Borgna, “Testing of multi-MPPT PV inverters: approach and test results,” EU PVSEC. München/Deutschland, 2016, doi: 10.4229/EUPVSEC20162016-5BV.3.11. [12] C. Zedak, A. Belfqih, J. Boukherouaa, A. Lekbich, and F. Elmariami, “Energy management system for distribution networks integrating photovoltaic and storage units,” International Journal of Electrical and Computer Engineering (IJECE), vol. 12, no. 4, pp. 3352-3364, 2022, doi: 10.11591/ijece. v12i4.pp3352-3364. [13] H. F. Hashim, M. M. Kareem, W. K. Al-Azzawi, and A. H. Ali, “Improving the performance of photovoltaic module during partial shading using ANN,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 12, no. 4, pp. 2435-2442, 2021, doi: 10.11591/ijpeds. v12.i4.pp 2435-2442. [14] W. Martiningsih et al., “Study and analysis of shading effects on photovoltaic application system,” MATEC Web of Conferences, vol. 218, 2018, doi: 10.1051/matecconf/201821802004, [15] S. M. MacAlpine, R. W. Erickson, and M. J. Brandemuehl, “Characterization of power optimizer potential to increase energy capture in photovoltaic systems operating under no uniform conditions,” IEEE Transactions on Power Electronics, vol. 28, no. 6, pp. 2936-2945, 2013, doi: 10.1109/TPEL.2012.2226476. [16] B. B. Pannebakker, A. C. de Waal, and W. G. J. H. M. van Sark, “Photovoltaics in the shade: one bypass diode per solar cell revisited,” Progress in Photovoltaics: Research and Applications, vol. 25, no. 10, pp. 836-849, 2017, doi: 10.1002/pip.2898. [17] K. Sinapis, T. T. H. Rooijakkers, R. Pacheco Bubi, and W. G. J. H. M. Sark, “Effects of solar cell group granularity and modern system architectures on partial shading response of crystalline silicon modules and systems,” Progress in Photovoltaics: Research and Applications, vol. 29, no. 9, pp. 977-989, 2021, doi: 10.1002/pip.3420. [18] J. G. Moorthy, S. Manual, S. Moorthi, and P. Raja, “Performance analysis of solar PV based DC optimizer distributed system with simplified MPPT method,” SN Applied Sciences, vol. 2, no. 2, 2020, doi: 10.1007/s42452-020-2010-2, [19] K. Sinapis et al., “A comprehensive study on partial shading response of c-Si modules and yield modeling of string inverter and module level power electronics,” Solar Energy, vol. 135, pp. 731-741, 2016, doi: 10.1016/j.solener.2016.06.050. [20] S. K. Das, D. Verma, S. Nema, and R. K. Nema, “Shading mitigation techniques: State-of-the-art in photovoltaic applications,” Renewable and Sustainable Energy Reviews, vol. 78, pp. 369-390, 2017, doi: 10.1016/j.rser.2017.04.093. [21] A. P. Yoganandini, and G. S. Anitha, “A modified particle swarm optimization algorithm to enhance MPPT in the PV array,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 5, pp. 5001-5008, 2020, doi: 10.11591/ijece. v10i5.pp5001-5008. [22] J. Teo, R. Tan, V. Mok, V. Ramacharamurthy, and C. Tan, “Impact of partial shading on the P-V characteristics and the maximum power of a photovoltaic string,” Energies, vol. 11, no. 7, 2018, doi: 10.3390/en11071860. [23] R. Batista, “The impact of shadowing in photovoltaic systems and how to minimize it: An analysis with the PV system Software,” U. o. G. Master Thesis, Ed., 2018. [Online]. Available: http://www.diva-portal.org/smash/get/diva2:1214973/FULLTEXT01. [24] K. Hasan, S. B. Yousuf, M. S. H. K. Tushar, B. K. Das, P. Das, and M. S. Islam, “Effects of different environmental and operational factors on the PV performance: A comprehensive review,” Energy Science & Engineering, vol. 10, no. 2, pp. 656-675, 2021, doi: 10.1002/ese3.1043. [25] N. W. A. Lidula and A. D. Rajapakse, “Micro grids research: A review of experimental micro grids and test systems,” Renewable and Sustainable Energy Reviews, vol. 15, no. 1, pp. 186-202, 2011, doi: 10.1016/j.rser.2010.09.041. [26] G. Ma, R. Gong, Q. Li, and G. Yao, “A improved particle swarm optimization algorithm with dynamic acceleration coefficients,” Bulletin of Electrical Engineering and Informatics, vol. 5, no. 4, pp. 474-480, 2016, doi: 10.11591/eei. v5i4.561.
  • 9. Int J Pow Elec & Dri Syst ISSN: 2088-8694  An efficient of estimation the load profile analysis of photo voltaic system with … (Ali Sabri Allw) 2413 BIOGRAPHIES OF AUTHORS Ali Sabri Allw is a lecturer in department of Electrical Engineering, Collage of Engineering, Babylon University, AlmusaybIraq. He is Lecturer graduate in engineering from Department of Electrical Engineering (PHD), University of Benha in Egypt and did his thesis in “on-line solution to alleviate the voltage collapse in electrical power systems”. He has over 12 years of experience in Academics. He has had many published articles indexed in scoops and has also participated and presented at numerous international conferences. His research interests include the field of digital design, industrial applications, industrial electronics, industrial informatics, power electronics, motor drives, renewable energy, FPGA applications. He can be contacted at email: alihtallw@yahoo.com. Ahmed Hussein Duhis is a lecturer in Electrical Power Engineering Techniques Department. Technical College of Al-Mussaib/Al-Furat Al-Awsat Technical University. He received his BSc. Electrical Engineering., MSc. Laser Engineering. from University of Technology/Iraq. He is currently a lecturer in Electrical Power Engineering Techniques Department. He taught many different subjects in electrical engineering and published many papers. His current research interests include renewable energy, intelligent control and Laser and its applications. He can be contacted at email: ah.hu.khf@gmail.com. Ali Al-Ghanimi received his PhD at Swinburne University of Technology, Melbourne, Australia in the field of Micro-Nano/positioning control systems. He received his BSc and MSc from the University of Baghdad in 2006 and 2009 respectively both were in Mechatronics and Robotics Engineering. Currently, He is assistant professor at the Department of Electrical Engineering at University of Kufa. His research is focused on designing and implementing control systems for mechatronics application, modelling and machine learning. He can be contacted at email: alih.alghanimi@uokufa.edu.iq.