SlideShare a Scribd company logo
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 303
CONTROL OF GRID CONNECTED PV INVERTER USING LMF ADAPTIVE
METHOD
N. Narasimhulu 1, B. Sahithi2, Dr. R. Ramachandra3
1Associate Professor and Head,Department of EEE, SKD College of Engineering, Gooty, AP, India
2PG Student, SKD College of Engineering, Gooty, AP, India
3Principal, SKD College of Engineering, Gooty, AP, India
------------------------------------------------------------------------------***-------------------------------------------------------------------------------
Abstract - The objective of this paper is to develop model
of least mean square fourth (LMF) based algorithm for
single stage three phase grid connected photovoltaic (PV)
system. The proposed LMF based control algorithm has been
implemented for the harmonics extraction from the
sinusoids. It is considered better from existing conventional
algorithms (SRFT, IRPT etc.) in ways that it involves simple
computation, easy to implement as it makes use of simple
mathematical blocks for calculation whereas SRFT and IRPT
involve complex blocks, more stable, takes less time to settle
and is proved to be more reliable. The simulations were
performed in the environment of MATLAB/SIMULINK.
Keywords: LMF, Photovoltaic, SRFT
I. INTRODUCTION
Demand for clean, economical, and renewable energy has
increased consistently over the past few decades. Among a
variety of renewable energy resources available, solar
energy appears to be a major contender due to its
abundance and pollution-free conversion to electricity
through photovoltaic (PV) process. Increasing interest in
PV systems, demands growth in research and development
activities in various aspects such as Maximum Power Point
Tracking (MPPT), PV arrays, anti-islanding protection,
stability and reliability, power quality and
power electronic interface. With increase in penetration
level of PV systems in the existing power systems, these
issues are expected to become more critical in time since
they can have noticeable impact on the overall system
performance. More efficient and cost-effective PV modules
are being developed and manufactured, in response to the
concerns raised by the PV system developers, utilities and
customers. Numerous standards have been designed to
address power quality and grid-integration issues.
Extensive research in the field of MPPT has resulted in fast
and optimized method to track the maximum power point.
Regarding power electronic converter to interface PV
arrays to the grid, Voltage Source Inverter (VSI) is a widely
used topology to date.
II. PHOTO VOLTAIC SYSTEM
One technology to generate electricity in a renewable way
is to use solar cells to convert the energy delivered by the
solar irradiance into electricity. PV energy generation is
the current subject of much commercial and academic
interest. Recent work indicates that in the medium to
longer term PV generation may become commercially so
attractive that there will be large-scale implementation in
many parts of the developed world.
The integration of a large number of embedded PV
generators will have far reaching consequences not only
on the distribution networks but also on the national
transmission and generation system. If the PV generators
are built on the roof and sides of buildings, most of them
will be located in urban areas and will be electrically close
to loads. On the other hand, these PV generating units may
be liable to common mode failures that might cause the
sudden or rapid disconnection of a large proportion of
operating PV capacity.
Figure 1: Schematic diagram of Grid Connected PV
Generation
Figure 1 shows a functional diagram of the basic
configuration of a grid-connected PV system. The dc
output current of the PV array Ipv is converted into ac and
injected into the grid through an inverter. The controller of
this inverter implements the entire main control:
Maximum Power Point Tracking (MPPT). Solar irradiance
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 304
is the radiant power incident per unit area upon a surface.
It is usually expressed in w/m2. Radiant power is the rate
of flow of electromagnetic energy. The most severe
fluctuations in the output power of PV systems usually
occur at maximum irradiance level around noon. This
period usually coincides with the off-peak loading period
of the electric network, and thus, the operating
penetration level of the PV system is greatest.
Figure 2: Circuit diagram of PV cell
Figure 2 shows an equivalent circuit diagram of a PV cell
which consists of a light-generated current source IL, a
parallel diode, a shunt resistance Rsh, and a series
resistance Rs.
Figure 3: Circuit diagram of PV array
Figure 3 shows an electrical equivalent circuit diagram of a
PV array, where Ns is the number of cells in series and Np
is the number of modules in parallel.
III. MPPT BASED PHOTOVOLTAIC
For maximum power transfer, the load should be matched
to the resistance of the PV panel at MPP. Therefore, to
operate the PV panels at its MPP, the system should be
able to match the load automatically and also change the
orientation of the PV panel to track the Sun if possible. A
controller that tracks the maximum power point locus of
the PV array is known as a MPPT controller.
Figure 4: Basic MPPT system
To generate gating signals for switching of the VSC, an
indirect current control technique is used with a hysteresis
regulator. The error current signal is calculated from the
difference between reference grid currents (i∗sa, i∗sb,
i∗sc) and sensed grid currents (isa, isb, isc).
IV. SIMULATION RESULT ANALYSIS
In this section, simulations are given to demonstrate the
validity and advantage of the proposed method. The
proposed single-stage three phase SPV power generating
system integrated with the grid is modeled and simulated
in MATLAB/Simulink.
(a) PV output current
(b) PV Voltage
(c) Maximum Power
0.55 0.56 0.57 0.58 0.59 0.6
20
40
60
Time (sec)
Ipv(A)
0.55 0.56 0.57 0.58 0.59 0.6
500
700
900
Time (sec)
Vpv(V)
0.55 0.56 0.57 0.58 0.59 0.6
2
2.5
3
3.5
4
x 10
4
Time (sec)
Ppv(kW)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 305
(d) DC Voltage
(e) Supply real power
(f) Reactive Power
(g) Grid Voltage
(h) Grid Current
(i) Load Current
Figure5: Steady state response under nonlinear load
Figure 5 depicts the steady state behavior of the proposed
topology under a nonlinear load. Figure 6 shows the
dynamic behavior and intermediate signals of proposed
system respectively under unbalanced load from 0.70 to
0.75 s. Even under the load unbalancing, the grid currents
are maintained sinusoidal with grid voltages and the dc
link voltage are regulated to desired value.
(a) DC Voltage
(b) Grid Voltage
(c) Grid Current
0.55 0.56 0.57 0.58 0.59 0.6
500
700
900
Time (sec)
Vdc(V)
0.55 0.56 0.57 0.58 0.59 0.6
-10000
-8000
-6000
-4000
-2000
0
Time (sec)
Ps(W)
0.55 0.56 0.57 0.58 0.59 0.6
-1
-0.5
0
0.5
1
Time (sec)
Qs(kVAR)
0.55 0.56 0.57 0.58 0.59 0.6
-500
0
500
Time (sec)
Vsabc(V)
0.55 0.56 0.57 0.58 0.59 0.6
-50
0
50
Time (sec)
Isabc(A)
0.55 0.56 0.57 0.58 0.59 0.6
-50
0
50
Time (sec)
iLa(A)
0.7 0.72 0.74 0.76 0.78 0.8
500
600
700
800
900
Time (sec)
Vdc(V)
0.7 0.72 0.74 0.76 0.78 0.8
-500
0
500
Time (sec)
Vsabc(V)
0.7 0.72 0.74 0.76 0.78 0.8
-60
0
60
Time (sec)
isabc(A)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 306
(d) Load current
Fig.ure 6: Dynamic response under unbalanced nonlinear
load
V. CONCLUSION
In this paper, the control algorithm has been based on a
least mean fourth adaptive filtering technique is proposed.
This technique has been designed for grid connected
Photovoltaic power system. The simulation results have
depicted and maximum power is extracted from the solar
photovoltaic power system. The results of the proposed
system have proved to be efficient and consistent in
comparison with existing conventional control algorithms.
REFERENCES
[1]. P. Moutis, A. Vassilakis, A. Sampani, and N. D.
Hatziargyriou, “DC switch driven active power output
control of photovoltaic inverters for the provision of
frequency regulation,” IEEE Trans. Sustain. Energy,
vol. 6, no. 4, pp. 1485–1493, Oct. 2015.
[2]. B. Subudhi and R. Pradhan, “A comparative study on
maximum power point tracking techniques for
photovoltaic power systems,” IEEE Trans. Sustain.
Energy, vol. 4, no. 1, pp. 89–98, Jan. 2013.
[3]. K. Sundareswaran, P. Sankar, P. S. R. Nayak, S. P.
Simon, and S. Palani, “Enhanced energy output from a
PV system under partial shaded conditions through
artificial bee colony,” IEEE Trans. Sustain. Energy, vol.
6, no. 1, pp. 198–209, Jan. 2015.
[4]. C. Kai, T. Shulin, C. Yuhua, and B. Libing, “An Improved
MPPT controller for photovoltaic system under partial
shading condition,” IEEE Trans.Sustain. Energy, vol. 5,
no. 3, pp. 978–985, Jul. 2014.
[5]. S. Saxena and Y. Hote, “Load frequency control in
power systems via internal model control scheme and
model-order reduction,” IEEE Trans. Power Sys., vol.
28, no. 3, pp. 2749–2757, Aug. 2013.
[6]. P. C. Sekhar and S. Mishra, “Takagi–Sugeno fuzzy-
based incremental conductance algorithm for
maximum power point tracking of a photovoltaic
generating system,” IET Renewable Power Gener., vol.
8, no. 8, pp. 900–914, Nov. 2014.
[7]. S. K. Kollimalla and M. K. Mishra, “Variable
perturbation size adaptive P&O MPPT algorithm for
sudden changes in irradiance,” IEEE Trans. Sustain.
Energy, vol. 5, no. 3, pp. 718–728, Jul. 2014
[8]. S. A. George and F.M. Chacko, “Comparison of different
control methods for integrated system of MPPT
powered PV module and STATCOM,” in Proc. Int. Conf.
Renew. Energy Sustain. Energy, Dec. 5–6, 2013, pp.
207–212.
[9]. B. Singh, D. T. Shahani, and A. K. Verma, “IRPT based
control of a 50 kW grid interfaced solar photovoltaic
power generating system with power quality
improvement,” in Proc. IEEE 4th Int. Symp. Power
Electron. Distrib. Gener. Syst., Jul. 8–11, 2013, pp. 1–8.
[10]. B. Singh, D. T. Shahani, and A. K. Verma, “Neural
network controlled grid interfaced solar photovoltaic
power generation,” IET Power Electron., vol. 7, no. 3,
pp. 614–626, Mar. 2014.
[11]. S. Kumar, A. K. Verma, I. Hussain, and B. Singh,
“Performance of grid interfaced SPV system under
variable solar intensity,” in Proc. IEEE 6th India Int.
Conf. Power Electron., Dec. 8–10, 2014, pp. 1–6.
[12]. C. Jain and B. Singh, “A Three-phase grid tied SPV
system with adaptive DC link voltage for CPI voltage
variations,” IEEE Trans. Sustain. Energy, vol. 7, no. 1,
pp. 337–344, Jan. 2016.
[13]. E. Walach and B. Widrow, “The least mean fourth
(LMF) adaptive algorithm and its family,” IEEE Trans.
Inf. Theory, vol. 30, no. 2, pp. 275–283, Mar. 1984
[14]. G. Gui, W. Peng, and F. Adachi, “Adaptive system
identification using robust LMS/F algorithm,” Int. J.
Commun. Syst., vol. 27, pp. 2956–2963, 2014.
[15]. P. I. Hubscher, J. C.M. Bermudez, and V. H.
Nascimento, “Amean-square stability analysis of the
least mean fourth adaptive algorithm,” IEEE Trans.
Signal. Process., vol. 55, no. 8, pp. 4018–4028, Aug.
2007.
Author Details
Mr. N. Narasimhulu has completed his
professional career of education in B. Tech
(EEE) from JNTU Hyderabad in the year
2003. He obtained M. Tech degree from
JNTU, HYDERABAD, in year 2008. He is
pursuing Ph. D in the area of power system
in JNTU Anantapuramu. He has worked as
Assistant Professor from 2003-2008 and at present
working as an Associate Professor and Head of the EEE
Department in Srikrishna Devaraya Engineering College,
Gooty of Anantapuramu district (AP). He is a life member
0.7 0.72 0.74 0.76 0.78 0.8
-50
0
50
Time (sec)
iLa(A)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 307
of ISTE, FIE, IEEE. His areas of interests include Electrical
Power Systems, Electrical Circuits and Control Systems
B.SAHITHI has completed her professional
career of education in B. Tech (EEE) at SKD
in the year of 2015 and pursuing M. Tech
from Sri Krishnadevaraya Engineering
College, Gooty, Anantapur (AP). Her areas
of interests include Electrical Power
Systems.
Dr. R. RAMACHANDRA has completed his
professional career of education in B. Tech
(MECHANICAL) from JNTU Hyderabad. He
obtained M. Tech degree from JNTU,
Hyderabad. He obtained Ph. D degree from
JNTU, Hyderabad At present working as
Professor and Principal in Sri krishna
Devaraya Engineering College, Gooty of Anantapuramu
district (AP).

More Related Content

PDF
IRJET- Multi-Level Inverter for Solar On-Grid System Design
PDF
IRJET- Various MPPT Techniques for Solar PV System
PDF
Voltage Dip Mitigation Using Static Var Compensator
PPTX
M A MALLICK ppt. for FDP SEPT. 2019
PDF
Maximum Power Point Tracking Technologies for Photovoltaic Efficiency Improve...
PDF
Design and Analysis of PID and Fuzzy-PID Controller for Voltage Control of DC...
PDF
An intelligent based fault-tolerant system 2018
PDF
An integrated framework_for_smart_microgrids_modeling_monitoring_control_comm...
IRJET- Multi-Level Inverter for Solar On-Grid System Design
IRJET- Various MPPT Techniques for Solar PV System
Voltage Dip Mitigation Using Static Var Compensator
M A MALLICK ppt. for FDP SEPT. 2019
Maximum Power Point Tracking Technologies for Photovoltaic Efficiency Improve...
Design and Analysis of PID and Fuzzy-PID Controller for Voltage Control of DC...
An intelligent based fault-tolerant system 2018
An integrated framework_for_smart_microgrids_modeling_monitoring_control_comm...

What's hot (20)

PDF
IRJET- Perturb & Observe MPPT Technique used for PV System Under Differen...
PDF
Application and Comparison Between the Conventional Methods and PSO Method fo...
PDF
Banc d'essai expérimental de panneau photovoltaïque
PDF
Optimal design and_model_predictive_control_of_st
PDF
DC-AC Inverter using SRF Hysteresis Current Controller for Interfacing Photo-...
PDF
Comprehensive Review on Maximum Power Point Tracking Methods for SPV System
PDF
Modeling and Simulation of Grid Connected PV Generation System Using Matlab/S...
PDF
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques
PDF
www.ijerd.com
PDF
SIMULATION OF IMPROVEMENT OF POWER QUALITY USING STATCOM-CONTROL SCHEME WITH ...
PDF
IRJET- Optimal Performance of Mechanical Load Factor for the Solar Photovolta...
PDF
SALIENT FEATURES OF GRID-CONNECTED PHOTOVOLTAIC SYSTEM AND ITS IMPACT ON POWE...
PDF
Voltage Flicker Mitigation of Wind Farm Using a STATCOM
PDF
hybrid
PDF
Simulation of Optimal Control Strategy for a Solar Photovoltaic Power System
PDF
Nonlinear Current Controller for a Single Phase Grid Connected Photovoltaic S...
PDF
IRJET-Robot Control by using Human Hand Gestures
PDF
40620130101002
PDF
Grid Connected Photovoltaic System with Energy Management Scheme
PDF
Photovoltaic Emulator for Grid-connected Quasi-Z-Sorce Inverter
IRJET- Perturb & Observe MPPT Technique used for PV System Under Differen...
Application and Comparison Between the Conventional Methods and PSO Method fo...
Banc d'essai expérimental de panneau photovoltaïque
Optimal design and_model_predictive_control_of_st
DC-AC Inverter using SRF Hysteresis Current Controller for Interfacing Photo-...
Comprehensive Review on Maximum Power Point Tracking Methods for SPV System
Modeling and Simulation of Grid Connected PV Generation System Using Matlab/S...
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques
www.ijerd.com
SIMULATION OF IMPROVEMENT OF POWER QUALITY USING STATCOM-CONTROL SCHEME WITH ...
IRJET- Optimal Performance of Mechanical Load Factor for the Solar Photovolta...
SALIENT FEATURES OF GRID-CONNECTED PHOTOVOLTAIC SYSTEM AND ITS IMPACT ON POWE...
Voltage Flicker Mitigation of Wind Farm Using a STATCOM
hybrid
Simulation of Optimal Control Strategy for a Solar Photovoltaic Power System
Nonlinear Current Controller for a Single Phase Grid Connected Photovoltaic S...
IRJET-Robot Control by using Human Hand Gestures
40620130101002
Grid Connected Photovoltaic System with Energy Management Scheme
Photovoltaic Emulator for Grid-connected Quasi-Z-Sorce Inverter
Ad

Similar to Control of Grid Connected PV Inverter using LMF Adaptive Method (20)

PDF
CONTROL STRATEGIES ON GRID-TIED PV INVERTERS
PDF
Modeling and Analysis of a Maximum Power Point Tracking Control for Double St...
PDF
IRJET- Cascaded Multilevel Inverter with MPPT for Grid Connected PV System
PDF
IRJET- Power Quality Improvement in Solar by using Fuzzy Logic Controller
PDF
A Grid-Tied Solar Power System with Harmonic Filter to Enhance Power Quality
PDF
Electric Vehicle as an Energy Storage for Grid Connected Solar Power System
PDF
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
PDF
Harmonic assessment on two photovoltaic inverter modes and mathematical model...
PPTX
Simulation of dcdc converter
PDF
IRJET- Micro Inverter
PDF
Power Flow Control for Dc Microgrid Using MPPT Technique
PDF
Analysis of Fault Ride Through Capability of Single-Phase Solar Fed Inverter
PDF
simulation and hardware implementation of grid connected solar charge control...
PDF
Performance of Grid Connected Solar PV Power Plant at Clear Sky Day
PDF
Performance Analysis of CSI Based PV system During LL and TPG faults
PDF
40220140504010
PDF
Improvement of Power Quality by using Advanced Reactive Power Compensation
PDF
PDF
Stability analysis of photovoltaic system under grid faults
PDF
Analysis and Implement of Hybrid ANN PandO Based MPPT Controller to Enhance E...
CONTROL STRATEGIES ON GRID-TIED PV INVERTERS
Modeling and Analysis of a Maximum Power Point Tracking Control for Double St...
IRJET- Cascaded Multilevel Inverter with MPPT for Grid Connected PV System
IRJET- Power Quality Improvement in Solar by using Fuzzy Logic Controller
A Grid-Tied Solar Power System with Harmonic Filter to Enhance Power Quality
Electric Vehicle as an Energy Storage for Grid Connected Solar Power System
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
Harmonic assessment on two photovoltaic inverter modes and mathematical model...
Simulation of dcdc converter
IRJET- Micro Inverter
Power Flow Control for Dc Microgrid Using MPPT Technique
Analysis of Fault Ride Through Capability of Single-Phase Solar Fed Inverter
simulation and hardware implementation of grid connected solar charge control...
Performance of Grid Connected Solar PV Power Plant at Clear Sky Day
Performance Analysis of CSI Based PV system During LL and TPG faults
40220140504010
Improvement of Power Quality by using Advanced Reactive Power Compensation
Stability analysis of photovoltaic system under grid faults
Analysis and Implement of Hybrid ANN PandO Based MPPT Controller to Enhance E...
Ad

More from IRJET Journal (20)

PDF
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
PDF
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
PDF
Kiona – A Smart Society Automation Project
PDF
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
PDF
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
PDF
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
PDF
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
PDF
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
PDF
BRAIN TUMOUR DETECTION AND CLASSIFICATION
PDF
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
PDF
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
PDF
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
PDF
Breast Cancer Detection using Computer Vision
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
Kiona – A Smart Society Automation Project
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
BRAIN TUMOUR DETECTION AND CLASSIFICATION
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
Breast Cancer Detection using Computer Vision
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...

Recently uploaded (20)

PPTX
Lecture Notes Electrical Wiring System Components
PPTX
bas. eng. economics group 4 presentation 1.pptx
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PPTX
web development for engineering and engineering
PPTX
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
PPTX
Sustainable Sites - Green Building Construction
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PPTX
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
PDF
PPT on Performance Review to get promotions
PPTX
Construction Project Organization Group 2.pptx
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
PPTX
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
PPTX
Geodesy 1.pptx...............................................
PPTX
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
PPT
Mechanical Engineering MATERIALS Selection
PDF
composite construction of structures.pdf
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
DOCX
573137875-Attendance-Management-System-original
Lecture Notes Electrical Wiring System Components
bas. eng. economics group 4 presentation 1.pptx
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
web development for engineering and engineering
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
Sustainable Sites - Green Building Construction
Operating System & Kernel Study Guide-1 - converted.pdf
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
PPT on Performance Review to get promotions
Construction Project Organization Group 2.pptx
Embodied AI: Ushering in the Next Era of Intelligent Systems
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
Geodesy 1.pptx...............................................
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
Mechanical Engineering MATERIALS Selection
composite construction of structures.pdf
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
573137875-Attendance-Management-System-original

Control of Grid Connected PV Inverter using LMF Adaptive Method

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 303 CONTROL OF GRID CONNECTED PV INVERTER USING LMF ADAPTIVE METHOD N. Narasimhulu 1, B. Sahithi2, Dr. R. Ramachandra3 1Associate Professor and Head,Department of EEE, SKD College of Engineering, Gooty, AP, India 2PG Student, SKD College of Engineering, Gooty, AP, India 3Principal, SKD College of Engineering, Gooty, AP, India ------------------------------------------------------------------------------***------------------------------------------------------------------------------- Abstract - The objective of this paper is to develop model of least mean square fourth (LMF) based algorithm for single stage three phase grid connected photovoltaic (PV) system. The proposed LMF based control algorithm has been implemented for the harmonics extraction from the sinusoids. It is considered better from existing conventional algorithms (SRFT, IRPT etc.) in ways that it involves simple computation, easy to implement as it makes use of simple mathematical blocks for calculation whereas SRFT and IRPT involve complex blocks, more stable, takes less time to settle and is proved to be more reliable. The simulations were performed in the environment of MATLAB/SIMULINK. Keywords: LMF, Photovoltaic, SRFT I. INTRODUCTION Demand for clean, economical, and renewable energy has increased consistently over the past few decades. Among a variety of renewable energy resources available, solar energy appears to be a major contender due to its abundance and pollution-free conversion to electricity through photovoltaic (PV) process. Increasing interest in PV systems, demands growth in research and development activities in various aspects such as Maximum Power Point Tracking (MPPT), PV arrays, anti-islanding protection, stability and reliability, power quality and power electronic interface. With increase in penetration level of PV systems in the existing power systems, these issues are expected to become more critical in time since they can have noticeable impact on the overall system performance. More efficient and cost-effective PV modules are being developed and manufactured, in response to the concerns raised by the PV system developers, utilities and customers. Numerous standards have been designed to address power quality and grid-integration issues. Extensive research in the field of MPPT has resulted in fast and optimized method to track the maximum power point. Regarding power electronic converter to interface PV arrays to the grid, Voltage Source Inverter (VSI) is a widely used topology to date. II. PHOTO VOLTAIC SYSTEM One technology to generate electricity in a renewable way is to use solar cells to convert the energy delivered by the solar irradiance into electricity. PV energy generation is the current subject of much commercial and academic interest. Recent work indicates that in the medium to longer term PV generation may become commercially so attractive that there will be large-scale implementation in many parts of the developed world. The integration of a large number of embedded PV generators will have far reaching consequences not only on the distribution networks but also on the national transmission and generation system. If the PV generators are built on the roof and sides of buildings, most of them will be located in urban areas and will be electrically close to loads. On the other hand, these PV generating units may be liable to common mode failures that might cause the sudden or rapid disconnection of a large proportion of operating PV capacity. Figure 1: Schematic diagram of Grid Connected PV Generation Figure 1 shows a functional diagram of the basic configuration of a grid-connected PV system. The dc output current of the PV array Ipv is converted into ac and injected into the grid through an inverter. The controller of this inverter implements the entire main control: Maximum Power Point Tracking (MPPT). Solar irradiance
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 304 is the radiant power incident per unit area upon a surface. It is usually expressed in w/m2. Radiant power is the rate of flow of electromagnetic energy. The most severe fluctuations in the output power of PV systems usually occur at maximum irradiance level around noon. This period usually coincides with the off-peak loading period of the electric network, and thus, the operating penetration level of the PV system is greatest. Figure 2: Circuit diagram of PV cell Figure 2 shows an equivalent circuit diagram of a PV cell which consists of a light-generated current source IL, a parallel diode, a shunt resistance Rsh, and a series resistance Rs. Figure 3: Circuit diagram of PV array Figure 3 shows an electrical equivalent circuit diagram of a PV array, where Ns is the number of cells in series and Np is the number of modules in parallel. III. MPPT BASED PHOTOVOLTAIC For maximum power transfer, the load should be matched to the resistance of the PV panel at MPP. Therefore, to operate the PV panels at its MPP, the system should be able to match the load automatically and also change the orientation of the PV panel to track the Sun if possible. A controller that tracks the maximum power point locus of the PV array is known as a MPPT controller. Figure 4: Basic MPPT system To generate gating signals for switching of the VSC, an indirect current control technique is used with a hysteresis regulator. The error current signal is calculated from the difference between reference grid currents (i∗sa, i∗sb, i∗sc) and sensed grid currents (isa, isb, isc). IV. SIMULATION RESULT ANALYSIS In this section, simulations are given to demonstrate the validity and advantage of the proposed method. The proposed single-stage three phase SPV power generating system integrated with the grid is modeled and simulated in MATLAB/Simulink. (a) PV output current (b) PV Voltage (c) Maximum Power 0.55 0.56 0.57 0.58 0.59 0.6 20 40 60 Time (sec) Ipv(A) 0.55 0.56 0.57 0.58 0.59 0.6 500 700 900 Time (sec) Vpv(V) 0.55 0.56 0.57 0.58 0.59 0.6 2 2.5 3 3.5 4 x 10 4 Time (sec) Ppv(kW)
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 305 (d) DC Voltage (e) Supply real power (f) Reactive Power (g) Grid Voltage (h) Grid Current (i) Load Current Figure5: Steady state response under nonlinear load Figure 5 depicts the steady state behavior of the proposed topology under a nonlinear load. Figure 6 shows the dynamic behavior and intermediate signals of proposed system respectively under unbalanced load from 0.70 to 0.75 s. Even under the load unbalancing, the grid currents are maintained sinusoidal with grid voltages and the dc link voltage are regulated to desired value. (a) DC Voltage (b) Grid Voltage (c) Grid Current 0.55 0.56 0.57 0.58 0.59 0.6 500 700 900 Time (sec) Vdc(V) 0.55 0.56 0.57 0.58 0.59 0.6 -10000 -8000 -6000 -4000 -2000 0 Time (sec) Ps(W) 0.55 0.56 0.57 0.58 0.59 0.6 -1 -0.5 0 0.5 1 Time (sec) Qs(kVAR) 0.55 0.56 0.57 0.58 0.59 0.6 -500 0 500 Time (sec) Vsabc(V) 0.55 0.56 0.57 0.58 0.59 0.6 -50 0 50 Time (sec) Isabc(A) 0.55 0.56 0.57 0.58 0.59 0.6 -50 0 50 Time (sec) iLa(A) 0.7 0.72 0.74 0.76 0.78 0.8 500 600 700 800 900 Time (sec) Vdc(V) 0.7 0.72 0.74 0.76 0.78 0.8 -500 0 500 Time (sec) Vsabc(V) 0.7 0.72 0.74 0.76 0.78 0.8 -60 0 60 Time (sec) isabc(A)
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 306 (d) Load current Fig.ure 6: Dynamic response under unbalanced nonlinear load V. CONCLUSION In this paper, the control algorithm has been based on a least mean fourth adaptive filtering technique is proposed. This technique has been designed for grid connected Photovoltaic power system. The simulation results have depicted and maximum power is extracted from the solar photovoltaic power system. The results of the proposed system have proved to be efficient and consistent in comparison with existing conventional control algorithms. REFERENCES [1]. P. Moutis, A. Vassilakis, A. Sampani, and N. D. Hatziargyriou, “DC switch driven active power output control of photovoltaic inverters for the provision of frequency regulation,” IEEE Trans. Sustain. Energy, vol. 6, no. 4, pp. 1485–1493, Oct. 2015. [2]. B. Subudhi and R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systems,” IEEE Trans. Sustain. Energy, vol. 4, no. 1, pp. 89–98, Jan. 2013. [3]. K. Sundareswaran, P. Sankar, P. S. R. Nayak, S. P. Simon, and S. Palani, “Enhanced energy output from a PV system under partial shaded conditions through artificial bee colony,” IEEE Trans. Sustain. Energy, vol. 6, no. 1, pp. 198–209, Jan. 2015. [4]. C. Kai, T. Shulin, C. Yuhua, and B. Libing, “An Improved MPPT controller for photovoltaic system under partial shading condition,” IEEE Trans.Sustain. Energy, vol. 5, no. 3, pp. 978–985, Jul. 2014. [5]. S. Saxena and Y. Hote, “Load frequency control in power systems via internal model control scheme and model-order reduction,” IEEE Trans. Power Sys., vol. 28, no. 3, pp. 2749–2757, Aug. 2013. [6]. P. C. Sekhar and S. Mishra, “Takagi–Sugeno fuzzy- based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system,” IET Renewable Power Gener., vol. 8, no. 8, pp. 900–914, Nov. 2014. [7]. S. K. Kollimalla and M. K. Mishra, “Variable perturbation size adaptive P&O MPPT algorithm for sudden changes in irradiance,” IEEE Trans. Sustain. Energy, vol. 5, no. 3, pp. 718–728, Jul. 2014 [8]. S. A. George and F.M. Chacko, “Comparison of different control methods for integrated system of MPPT powered PV module and STATCOM,” in Proc. Int. Conf. Renew. Energy Sustain. Energy, Dec. 5–6, 2013, pp. 207–212. [9]. B. Singh, D. T. Shahani, and A. K. Verma, “IRPT based control of a 50 kW grid interfaced solar photovoltaic power generating system with power quality improvement,” in Proc. IEEE 4th Int. Symp. Power Electron. Distrib. Gener. Syst., Jul. 8–11, 2013, pp. 1–8. [10]. B. Singh, D. T. Shahani, and A. K. Verma, “Neural network controlled grid interfaced solar photovoltaic power generation,” IET Power Electron., vol. 7, no. 3, pp. 614–626, Mar. 2014. [11]. S. Kumar, A. K. Verma, I. Hussain, and B. Singh, “Performance of grid interfaced SPV system under variable solar intensity,” in Proc. IEEE 6th India Int. Conf. Power Electron., Dec. 8–10, 2014, pp. 1–6. [12]. C. Jain and B. Singh, “A Three-phase grid tied SPV system with adaptive DC link voltage for CPI voltage variations,” IEEE Trans. Sustain. Energy, vol. 7, no. 1, pp. 337–344, Jan. 2016. [13]. E. Walach and B. Widrow, “The least mean fourth (LMF) adaptive algorithm and its family,” IEEE Trans. Inf. Theory, vol. 30, no. 2, pp. 275–283, Mar. 1984 [14]. G. Gui, W. Peng, and F. Adachi, “Adaptive system identification using robust LMS/F algorithm,” Int. J. Commun. Syst., vol. 27, pp. 2956–2963, 2014. [15]. P. I. Hubscher, J. C.M. Bermudez, and V. H. Nascimento, “Amean-square stability analysis of the least mean fourth adaptive algorithm,” IEEE Trans. Signal. Process., vol. 55, no. 8, pp. 4018–4028, Aug. 2007. Author Details Mr. N. Narasimhulu has completed his professional career of education in B. Tech (EEE) from JNTU Hyderabad in the year 2003. He obtained M. Tech degree from JNTU, HYDERABAD, in year 2008. He is pursuing Ph. D in the area of power system in JNTU Anantapuramu. He has worked as Assistant Professor from 2003-2008 and at present working as an Associate Professor and Head of the EEE Department in Srikrishna Devaraya Engineering College, Gooty of Anantapuramu district (AP). He is a life member 0.7 0.72 0.74 0.76 0.78 0.8 -50 0 50 Time (sec) iLa(A)
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 307 of ISTE, FIE, IEEE. His areas of interests include Electrical Power Systems, Electrical Circuits and Control Systems B.SAHITHI has completed her professional career of education in B. Tech (EEE) at SKD in the year of 2015 and pursuing M. Tech from Sri Krishnadevaraya Engineering College, Gooty, Anantapur (AP). Her areas of interests include Electrical Power Systems. Dr. R. RAMACHANDRA has completed his professional career of education in B. Tech (MECHANICAL) from JNTU Hyderabad. He obtained M. Tech degree from JNTU, Hyderabad. He obtained Ph. D degree from JNTU, Hyderabad At present working as Professor and Principal in Sri krishna Devaraya Engineering College, Gooty of Anantapuramu district (AP).