Design, modeling and simulation of perturb and observe maximum power point tracking for a photovoltaic water pumping system

International Journal of Electrical and Computer Engineering (IJECE)
Vol. 12, No. 4, August 2022, pp. 3430~3439
ISSN: 2088-8708, DOI: 10.11591/ijece.v12i4.pp3430-3439  3430
Journal homepage: http://ijece.iaescore.com
Design, modeling and simulation of perturb and observe
maximum power point tracking for a photovoltaic water
pumping system
Abdelilah Hilali, Yahya Mardoude, Youssef Ben Akka, Hassan El Alami, Abderrafii Rahali
Electronics, Communication Systems and Energy Optimization Team, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
Article Info ABSTRACT
Article history:
Received Jul 27, 2021
Revised Jan 14, 2022
Accepted Feb 9, 2022
Maximum power point tracking (MPPT) is considered one of the important
factors in minimizing the installation costs and improving the efficiency of
any photovoltaic water pumping system. The MPPT controller is specifically
used to extract the maximum available power from the photovoltaic (PV)
array. The maximum power can be achieved by using a specific algorithm.
This work aims to raise awareness among farmers about the energy benefits
available in the region of Meknes in Morocco, the economic gain and the
environmental impact applied to the solar pumping system so that it can be
generalized. To obtain the maximum power at each moment, a direct current
(DC) water pump (SQF 0-6-2) powered by the solar panels (REC_330NP)
through a buck converter was adapted. In addition, this study illustrates the
theory of operation of the perturb and observe (P&O) algorithm and
simulates the evaluation of this algorithm under different operating
conditions (temperature and solar irradiation), and showed the advantages of
this system that can operate at the optimal power regardless of disturbances.
Keywords:
Buck converter
DC motor
Maximum power point tracking
Photovoltaic model
Water pump
This is an open access article under the CC BY-SA license.
Corresponding Author:
Abdelilah Hilali
Department of Physics, Moulay Ismail University
BP 11201, Avenue Zitoune, Meknes, Morocco
Email: ab.hilali@edu.umi.ac.ma
1. INTRODUCTION
Energy has become the great central debate of our modern civilizations [1]. About 90% of this
energy is fossil, and poses a potential danger to this universe through global warming [2]. The use of
renewable energies considerably reduces the undesirable emissions of these gases [2].
The price of fossil energy is constantly increasing [3], [4]. The fight against greenhouse gas
emissions makes urgent control of energy consumption, and the diversification of energy resources and its
development [5], [6]. The agricultural sector in Morocco consumes about 13% of energy, mainly
concentrated in irrigation equipment. Therefore; solar pumping will allow the farmer to have access to free
energy [7], [8]. It is a clean and renewable energy, which is carried out without noise or carbon dioxide
polluting the climate, and which fits perfectly with the current ecological policy of the government (Green
Morocco Plan) [9].
Morocco's strategic geographical location offers favorable conditions for investment and use of
renewable energies, especially solar energy. The introduction of these energies could easily be considered on
many applications such as: photovoltaic water pumping system, off-grid rural electrification or direct
injection of the produced energy into the electrical grid. The solar water pumping system is a promising
solution of photovoltaic systems that can be used to provide water to rural and remote areas. The advances in

Int J Elec & Comp Eng ISSN: 2088-8708 
Design, modeling and simulation of perturb and observe maximum power point … (Abdelilah Hilali)
3431
photovoltaic panel technology have reduced the cost of solar panels and increased the feasibility of solar
water pumping systems [10].
In addition, agriculture is expected to play a role as a locomotive for the economic growth of
countries in the future. In this way, the Green Morocco Plan has aimed to create a framework conducive to
the development of the sector through: strengthening the capacities of the various actors involved; focusing
on raising awareness among farmers on the economic and environmental interest of solar pumping in order to
make it more widespread; the establishing financing mechanisms facilitating the acquisition of
photovoltaic (PV) water pumping systems; standardizing solar installations for irrigation; and establishing a
framework for monitoring the impacts of the project in terms of mitigation of greenhouse gas emissions.
In the case of a direct connection between a photovoltaic generator and an electrical water pump, the
point of operation of this installation depends on the impedance of the latter. This choice is mainly related to
simplicity, reliability and low cost of the installation. However, this configuration does not offer any type of
limitation or adjustment of the pump voltage. Indeed, the power extracted from the photovoltaic generator is
often very far from the maximum power that this solar power can deliver [11]. So to address this issue, we
need an adaptation stage with an algorithm. This algorithm constantly seeks the maximum power available
on the photovoltaic generator to ensure that the energy transfer can be carried out under optimal operating
conditions. Nowadays, there are different types of algorithms performing the search for maximum power
point (MPP): hill climbing [12], perturb and observe (P&O) [13], Inc Cond [14], fuzzy control [15] and
proportional-integral-derivative (PID) [16]. Despite the advantages of solar water pumping systems, the use
of photovoltaic generator in pumping systems is not well known in Morocco. The problem is directly related
to the operators who are not aware of the advantages of these systems and their contributions from an
economic, ecological as well as other benefits.
In the present work, certain measurements were taken on the efficiency of using solar water
pumping systems in agriculture. Indeed, the country has enough solar energy resources to reduce water
pumping using butane and diesel. Indeed, photovoltaic converters are characterized by a very low conversion
efficiency [17]. Thus, another efficiency drop is mainly related to the intersection of the two curves:
photovoltaic generator and load characteristics. To solve this problem, a buck converter must be inserted
before the pump. This buck converter is equipped with one of the above mentioned algorithms. Due to the
evolution of the metrological parameters of the region that will be shown later, P&O algorithm studies show
the ease by which this can be implemented and the need for a simple calculator. In addition, this algorithm
allows to decrease the cost to improve the profitability of agricultural facilities.
2. RESEARCH METHOD
2.1. Principle of solar water pumping systems
The system is designed around a direct current (DC) water pump connected to PV generator by an
maximum power point tracking (MPPT) controller as shown in Figure 1. The latter is used for two purposes
in the solar pumping system: The first is to regulate the required voltage of the pump and to operate it by the
maximum power produced. The second objective is to protect the pump from low voltages when the system
is turned off if the voltage is too low or too high compared to the nominal voltage [18]. This aims at
increasing the life of the pump and thus reduces the need for maintenance.
Figure 1. Concept of PV water pumping system

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Int J Elec & Comp Eng, Vol. 12, No. 4, August 2022: 3430-3439
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2.2. The advantages of P&O MPPT technique on a PV water pumping system
The principle of P&O MPPT controller [19] is to disturb the voltage of photovoltaic generator Vpv of
a small amplitude around its initial value, and to analyze the behavior of the resulting power PPV variation. If
a positive VPV voltage increment results in an increase in PPV power, this means that the operating point is to
the left of the MPP. If, on the contrary, the power decreases, this implies that the system has exceeded the
MPP. A similar reasoning can be made when the voltage decreases as shown in the Figure 2. It is then easy to
locate the operating point in relation to the MPP and to make the power generated is maximum (PPM)
converge towards the maximum power through an appropriate command order.
Figure 2. P&O MPPT Search and recovery of the maximum power point
2.3. Meteorological conditions in the region
The average amount of sunshine is more than 8 hours per day. Moroccan regions present all the
favorable conditions for solar water pumping system. Winter insolation for these regions varies between 934
and 1,520 hours. Based on digital data captured by CR1000 Meteorological Station at the Meknes Faculty of
Science in Figure 3, where Figure 3(a) represents the variation of irradiance and Figure 3(b) represents the
variation of temperature of the city of Meknes since the year 2014. The interval of these digital data can be
simulated to estimate the quantity of energy in the region as elaborated in the next section.
It can be seen from Figure 3 that the temperature varies from 0-45 °C, but the average temperature is
still around 20 °C. The maximum solar irradiance varies from 600 W/m2
to almost 1,500 W/m2
. But the
average value is still around 900 W/m2
. To be more practical, it is preferable to make the simulation related
to the real parameters of the region in order to estimate the real performance of such a solar pumping system
in the region.
Figure 3. Digital data captured by CR1000 Meteorological Station at the Meknes Faculty of Science in,
where (a) the variation of irradiance and (b) temperature of the city of Meknes since the year 2014
Irradiance
Temperature
Time Time
The system moving
away of the MPP

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Figure 4 shows the evolution of irradiance over the course of a day on randomly selected days. It
can be seen that the evolution of irradiance over time does not change brutally during the day. Furthermore,
most PV-based applications (such as solar water pumping) do not run all the time, so a very simple controller
with P&O algorithms is sufficient.
Figure 4. The variation of irradiance on random days
2.4. Modeling of the PV power station
The equivalent diagram of a real solar cell is represented in Figure 5, by a current generator (Iph), a
diode and two types of parasites resistance (Rs) and (Rsh). Where the current generator (Iph) delivers a current
Iph corresponding to the photogenic current, it is a perfect source; the diode (D) models the P-N junction
materializing the fact that the current only flows in one direction; the series resistance, Rs modeling the
resistive losses within the solar cell, it is a resistance that the electric current encounters on its course
(intrinsic resistance of the layers and resistance of the contacts); the shunt resistance Rsh corresponds to a
leakage resistance between the two zones N and P of the junction. It takes into account the inevitable leaks of
the current which occur between the opposite positive and negative terminals of a photocell (micro short
circuit in silicon in particular).
Figure 5. Electrical model of a cell PV [20]
It follows that part of the current Iph will be derived from Rsh and cannot be delivered to the load;
thus, to increase the PV efficiency, Rsh must be as high as possible in the cell. The load will be connected at
the terminals of PV cells. The impedance of this load will impose the operating point on the photocell as a
function of its current-voltage characteristic (I, V) that depends on the considered irradiance and other
parameters. The output current of the PV module can be written as shown in the relation (1) [21].
𝐼 = 𝐼𝑝ℎ − 𝐼𝑠 [𝑒𝑥𝑝
𝑉+𝐼.𝑅𝑠
𝑛𝑉𝑡ℎ − 1] −
𝑉+𝐼.𝑅𝑠
𝑅𝑠ℎ
(1)
where:
Is (A) = corresponding to the saturation current;
Vth (V) = the thermodynamic potential;

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K (J.K-1
) = the Boltzmann constant;
T (K) = the effective temperature of the cell;
e (C) = the charge of the electron;
n = a factor of non-ideality of the junction;
I (A) = the current supplied by the cell;
V (V) = the voltage across the cell, Iph (A), the short-circuit current of the cell, depending on the sun
irradiance and the temperature.
In a PV generator, there are usually several photovoltaic cells put together with different modes
(series/parallel) to build a power supply [22], [23]. This combination depends on the voltage and the currents
required to meet certain load specification requirements. The resulting characteristic (I, V) or (P, V) of a
series grouping obtained for n identical cells by summing the elementary characteristics of constant current is
as follows: Vn = n.V1, and for a grouping of p parallel cells is In = p.I1 [24].
3. RESULTS AND DISCUSSION
3.1. Simulation results of PV under different atmospheric conditions
PV generator is composed of a mono-crystalline solar panel, model REC_330NP. The electrical
characteristics of this module are presented in the Table 1. According to the manufacturer tests under
standard conditions (E=1000 W/m², AM=1.5, Tc=25 °C) indicate we find:
Table 1. The REC_330NP characteristics
Rsh Rs Vmpp Impp Pmpp Isc Voc
1 kΩ 73mΩ 34.6 V 9.55 A 330 W 10.33A 41 V
To study this PV generator, we need its electrical model of (1), which takes into account the
relationship between the different variables that influence photovoltaic generator production. We can also use
simulation software. Figure 6 shows the electrical behavior of the REC_330NP module by simulation, where
Figure 6(a) shows the power-voltage characteristic and Figure 6(b) shows the current-voltage characteristic.
(a) (b)
Figure 6. Characteristics of the REC_330NP module (a) the power-voltage characteristic and (b) the current-
voltage characteristic
From the results of simulations, we notice that the maximum current (Isc=10.33 A) occurs when the
module terminals are short-circuited. It is called short-circuit current, the Isc strongly depends on the level of
illumination; no-load voltage (Voc=41 V) for zero current. This voltage is also called open-circuit voltage.
The maximum power point MPP (Vmpp=34.6 V, Impp=9.55 A, the maximum electrical power delivered
(Pc=330 Watt peak). From the current-voltage characteristic, we can deduce the characteristic of the electrical
power generated by the cell as a function of the voltage across its terminals. There is a photo current value
corresponding to a voltage across the cell for which this generated electrical power is optimum [25], [26].

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This value varies depending on several meteorological parameters such as temperature, irradiance, and
position of the panel relative to the sun.
3.1.1. Irradiance influences
The network of characteristics (I, V) according to a variable irradiance (for a junction temperature of
25 °C) is shown in the following Figure 7 where Figure 7(a) represents the power-voltage characteristic and
Figure 7(b) the current-voltage characteristic. Under higher solar irradiance, the current Icc directly increased
along with (the relationship is proportional) the voltage remaining relatively constant. It is clear that when the
irradiance increased from 400 W.m-2
to 1,200 W.m-2
; the power increased from 140 Wp to 380 Wp.
(a) (b)
Figure 7. The REC_330NP characteristics under several radiation modes (a) the power-voltage characteristic
and (b) the current-voltage characteristic
3.1.2. Temperature influence
Figure 8 displays the characteristics of a PV panel under constant lighting and variable temperature,
where Figure 8(a) represents the power-voltage characteristics and Figure 8(b) represents the current-voltage
characteristics. The temperature also has a significant influence on the characteristics of this panel. When the
temperature increases, the voltage decreases and therefore the power too. The curves in the previous figure
show this drift in the characteristics of this crystalline silicon panel as a function of temperature. We note that
we moved from an optimal power of 305 Wp at 45 °C to a power of 360 Wp for a temperature of 0 °C. Thus,
we will have to take into account the temperature of use of the solar cell in order to apply for a reduction
coefficient of the optimal power at 25 °C.
3.2. Simulation results of a PV water pumping system
The following section presents the result of the simulation of the photovoltaic water pumping
system, which is composed of a DC electric pump SQF 0-6-2, its technical characteristics are: nominal
current in = 8.4 A, average voltage 30 to 300 VDC. This is connected to a photovoltaic generator through a
step-down chopper with a P&O algorithm, as shown in Figure 9. This array consists of five photovoltaic
panels (REC_330NP), which will generate a total peak power of 1650 Wp under standard conditions, where
the temperature of the PV array is maintained at a fixed value of 25 °C. It should be noted that the irradiance
changes almost every three seconds.
Figures 10, 11 and 12 show the irradiance, duty cycle, and power delivered by the MPPT controller
to the pump over time, respectively. It can be seen in Figure 10 as the time increases, the irradiance increases
in steps. This evolution presents a real situation of the system in which it will operate. According to
Figure 11, the evolution of the duty cycle depends on the evolution of the irradiance. This change is reflected
in the amount of energy available on the PV generator. Concerning the power, Figure 12 shows the extraction
ratio between the PV generators traversing the converter. This figure shows the efficiency of the P&O MPPT
controller. It also displays the amplitude and frequency of the pump power oscillations which depend on the
step size of the duty cycle variation. It is worth noting that a small step size of duty cycle variation indicates
very good performance when the irradiance varies very slowly, yet a relatively poor dynamic response when
sudden changes in irradiance happen. In this case, a step size of 0.001 in duty cycle gives a pump power variation
fluctuating around 2 watts.

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(a) (b)
Figure 8. The REC_330NP caracteristics under variable temperature (a) the power-voltage characteristics and
(b) the current-voltage characteristics
Figure 9. Simulation block diagram of the photovoltaic water pumping system
Figure 10. Profile of irradiance variation Figure 11. Variation of duty cycle
Table 2 summarizes the different power output points of this system under different metrological
conditions. Based on the metrological data of the region, the average irradiance value is about 900 W/m2,
presents an efficiency of 95% energy extraction. It can be concluded that this P&O MPPT presents a very
acceptable dynamic response for this solar pumping system. It also reaches and converges to the maximum
power point despite the irradiance variations. From the beginning of this simulation, we can note that the
system is stagnant, and works at MPP on the one hand. On the other hand, the operating point does not
deviate from the MPP under unstable weather conditions.

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Figure 12. The power delivered by the P&O MPPT controller to the pump
Table 2. Recorded results of a solar water pumping systems
Irradiance (W/m2) 700 800 900 1000 1100 1250
Temperature °C 25 25 25 25 25 25
Power max (W) 230 265 300 330 356 429
Power GPVmax (W) 1150 1325 1500 1650 1780 2145
Duty 0.40 0.45 0.50 0.55 0.60 0.67
Pump Power (W) 1073 1250 1434 1620 1735 2100
efficiency 0.93 0.94 0.95 0.98 097 0.97
4. CONCLUSION
Energy charges are the main expense for farmers. Once the pumping system is installed, the use of
solar energy presents a technological solution to reduce energy costs. The maximum power is the main index
to assess the performance of the pumping system of the photovoltaic generator. There is an optimal voltage
value for this power, which is the maximum power point on the one hand. On the other hand, the maximum
power point varies with meteorological conditions, which leads to a change in this point and energy loss. In
this work, the P&O MPPT controller presents a better solution for the operation of photovoltaic water
pumping system.
ACKNOWLEDGEMENTS
The authors would like to thank Mr. Ali Essahlaoui, in the framework of the project ''Gestion
intégrée des Ressources en eau (GIRE)".
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BIOGRAPHIES OF AUTHORS
Abdelilah Hilali is an associate professor at the center of preparatory classes in
Settat, Morocco. He is currently a student researcher at the Faculty of Science of Meknes,
Morocco. He holds a master's degree specialized in industrial automated systems
engineering at the Faculty of Sciences of Fez, Sidi Mohamed Ben Abdelah University, in
Morocco. His research focuses on the optimization of solar water pumping systems and
renewable energy, power quality, high quality utility interface, power electronics, power
generation, power grids, power supply quality, power transmission reliability, power system
stability, power transmission lines, power transmission planning, power transmission
protection, circuit breakers, harmonic distortion, load flow control, overcurrent protection,
power distribution protection, and artificial intelligence applied power system, He can be
contacted at the following email address: ab.hilali@edu.umi.ac.ma.
Yahya Mardoude is a Teacher in the secondary cycle at the Ministry of
Education. He is currently a research student at the Faculty of Science in Meknes, Morocco.
He holds a master's degree specialized in industrial automated systems engineering at the
Faculty of Sciences of Fez, Sidi Mohamed Ben Abdelah University, in Morocco. His
research focuses on improving the performance of dual-motor machines and renewable
energy high quality utility interface, power electronics, power generation, power grids,
power supply quality, power transmission reliability, power system stability, power
transmission lines, power transmission planning, power transmission protection, circuit
breakers,. He can be contacted by email: ma.yahya@edu.umi.ac.ma.

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Youssef Ben Akka is a secondary school teacher at the Ministry of Education.
He is currently a research student at the Faculty of Science in Meknes, Morocco. His
research focuses on the remote control of industrial processes applied to renewable energy,
power electronics, power generation, power grids, power supply quality, mechanics,
energetics and electronics, power transmission reliability, power system stability, power
transmission lines, power transmission planning, power transmission protection, circuit
breakers, harmonic distortion, load flow control, overcurrent protection, power distribution
protection, and artificial intelligence applied power system. He can be contacted by e-mail:
benakka.y@gmail.com.
Hassan El Alami is a Professor in the Department of Physics, Faculty of
Sciences, Moulay Ismaïl University, Meknes, Morocco. He is currently a member of the
"Electronics, Communication Systems and Energy Optimization" team at the Laboratory of
Optics, Information Processing, Mechanics, Energetics and Electronics. His research
interests include industrial process control, optimization of solar water pumping systems,
control of greenhouse climatic parameters and rationalization of natural resources include
renewable energy, power quality, high quality utility interface, power electronics, power
generation, power grids, power supply quality, power transmission reliability, power system
stability, power transmission lines, power transmission planning, power transmission
protection, circuit breaker. He can be contacted at email: Hassan.genielog@gmail.com
Abderrafii Rahali is a professor of higher education at the Department of
Physics of the Faculty of Science of Meknes, University Moulay Ismail, Morocco. He is
currently in charge of the "Electronics, Communication Systems and Energy Optimization"
team at the Laboratory of Optics, Information Processing, Mechanics, Energetics and
Electronics. His research interests include industrial process control, optimization of solar
water pumping systems, control of greenhouse climatic parameters and rationalization of
natural resources include renewable energy, power quality, high quality utility interface,
power electronics, power generation, power grids, power supply quality, power transmission
reliability, power system stability, power transmission lines, power transmission planning,
power transmission protection, circuit breakers, harmonic distortion, load flow control,
overcurrent protection, power distribution protection, and artificial intelligence applied
power system,. He can be contacted at the following email: a.rahali@umi.ac.ma.

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Design, modeling and simulation of perturb and observe maximum power point tracking for a photovoltaic water pumping system