Power

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End date: 2024Subject: search.filters.subject.Maximum power point tracking (MPPT)

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Now showing 1 - 8 of 8
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    Maximum power point tracking for solar water pumping system under partial shading conditions
    (2024) Bouafia, Imad; Azioune, Ahmed; Ammar, Abdelkarim (supervisor)
    This report presents innovative approaches to maximize the power output of photovoltaic (PV) systems for water-pumping applications based on BLDC motor, specificall yaddress- ing challenges posed by partial shading, which occurs when certain parts of the PV array are shaded while others are exposed to sunlight. Traditional Maximum Power Point Tracking (MPPT) algorithms, such as the Perturb and Observe (P&O) method, have limitations when it comes to dealing with partial shading, as these algorithms struggle to accurately identify the global maximum power point (GMPP), which is important for achieving optimal power generation. To overcome these limitations, this work introduces advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and the Marine Predator Algorithm (MPA), to robustly track the GMPP, thus ensuring optimal performance despite variations in solar exposure. Furthermore, the efficienc yo feac halgorith mis compared using simulation models generated in MATLAB/Simulink, where the results demonstrate that these algorithms significantly improve power extraction under partial shading conditions.
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    Sizing of PV Pumping System with Optimizing MPPT Algorithm
    (Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Benmbarek, Malik; Daif, Mouhaned; Kheldoun, Aissa (Supervisor)
    This report covers a comprehensive study of the sizing, modeling and simulation of a stand-alone solar water pumping system in El Oued, Algeria. The initial part involves selecting a farm located in Hassi Khalifa, El Oued, Algeria, which has an average water consumption of 43m/h. The irrigated site covers 1 hectare (10,000 square meters) of land. Sizing such a system has been carried out using differen ttool ssuc ha sCropwat ,Climwat ,an dPVgis. Sizing has led to the selection of a 2.2 kW submersible pump, 3.19 kW PV array, 3 kW inverter, and a 74m2 Tank of height 3 m. System dynamic modeling is done using MATLAB/Simulink which contains several models of sub-systems such as solar arrays, DC-DC boost converter, two-level inverter, Squirrel cage IM, and centrifugal pump, This dynamic modeling has been developed based on the sizing of the system. To improve further the overall system’s efficienc y,an enhanced P&O MPPT algorithm has been developed. Moreover, a DTC algorithm is used to regulate both the motor’s speed and torque. Various numerical simulations were conducted to illustrate and validate the effectivenes so fthi ssystem .MATLAB/Simulin ksimulation shows that this system can deliver the required energy needed for the farm to satisfy all the requirements.
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    Control design of Puc5-Based multifunction solar filter
    (2022) Djelloul, Ammar; Sahli, Mohamed Rafik; Khaldoun, Aissa (Supervisor)
    This work presents a Solar Photovoltaic Active Power Filter system (PV-APF)whose architecture basically consisted of a PV generator as primary renewable source three-phase double stage power converters (DC-DC, DC-AC), utility grid and non-linear load connected through Point of Common Coupling (PCC). In addition to the PV power injection the system intended tooperate as an Active Power Filter (APF) to filter the harmonic pollution form the non-linear load. Based on the p-q theory, the PV-APFextracts the fundamental and harmonics information from the polluted load current in order to estimate a compensating reference current that should be injected along with a maximum photovoltaic power extracting (P PV ). Moreover, we have investigated the use of new topology inverter that is thepacked U-cell 5 levels (PUC5) inverter and compared with the conventional two-evel inverter. The comparable simulations of the PV-APF based on each inverterrevealed the superiority of the PUC5 inverter in terms power quality improvement and achieved THD levels. According to obtained results of simulation, under standard test condition (STC) with a disconnected nonlinear load, the classical inverter measures THD of 1.24% in output current, whereas in case of using the PUC5 inverter and under the same conditions the THD was 0.19%.
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    MPPT battery charge controller for PV hybrid systems
    (2022) Boulaouche, Zaki; Abbas, Aimen; Chalah, Samira (Supervisor)
    Interest in solar energy has grown significantly in recent years. Various topics are pursued to extend the performance of PV modules and the theoretical understanding of photovoltaics has been the subject of many researches. In hybrid solar energy systems, batteries are used as energy storage. Photovoltaic arrays provide energy during steady operating conditions, while batteries are used as energy sources during transient operating conditions (backup sources). This project report presents the design of a battery charging circuit that improves maximum power point (MPP) under variable solar irradiance and constant temperature at 25 °C through a smart MPPT (maximum power point tracking) algorithm. The boost converter output voltage drives an optimal PI-controlled Bi- directional DC/DC converter to behave like a battery charger circuit under uncertain atmospheric conditions (night, shade). The purpose of this study is to operate MPP-designed photovoltaic systems under different environmental conditions to achieve superior efficiency and minimize overall system cost and obtain the appropriate voltage and current for efficient battery charging, therefore reducing battery losses and improving life cycle. A prototype 100 kW photovoltaic array was designed, and a boost MPPT controlled PV system with a battery energy storage using a bi-directional DC/DC converter is simulated and studied in the MATLAB/Simulink environment.
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    Application of golden section search MPPT control to grid-connected wind turbine driven PMSG
    (2018) Khelifa, Ayoub; Ben Haoua, Seif Eddine; Kheldoun, Aissa
    This project is intended to design a PMSG based wind energy conversion system. Classical controllers, such as P&O MPPT algorithms are employed to ensure maximum power extraction from wind turbine. Speed of the generator is adjusted to match the wind turbine power- speed characteristics. In this project, a new MPPT algorithm is investigated to maximize the power coefficient Cp. The algorithm is based on Golden Section search principle and expected to be faster than the aforementioned algorithms.
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    Evaluation of global MPPT for stand-alone PV system
    (2018) Soufi, Ali; Mohammadi, Abdelhaq; Kheldoun, Aissa (Supervisor)
    Under partial shading conditions (e.g., due to buildings, trees, and clouds), multiple peaks may exist on the power-voltage (P-V) characteristic curve of photovoltaic (PV) array, leading to the conventional maximum power point tracking methods fail to extract the global maximum power point (GMPP). To further complicate matters, most conventional Maximum Power Point Tracking methods develop errors under certain circumstances (for example, they detect the local Maximum Power Point (LMPP) instead of the global MPP) and reduce the efficiency of PV systems even further. Presently, much research has been undertaken to improve upon them. This work describes a new fast and efficient technique based on Particle Swarm Optimization (PSO), compared with the conventional technique Perturb and Observe (P&O) which is inadequate to track the GMPP subject to these conditions resulting in a dramatic reduction in the efficiency of the PV system. Simulations are performed in MATLAB/SIMULINK software. A system includes a DC-DC buck-boost converter to step up or down the voltage to required magnitude. P&O and PSO maximum power point tracking (MPPT) algorithms have been used to extract the possible maximum power point from the PV system. A DSP microcontroller is also used to control the duty cycle of the IGBT accompanied with this system. The results verify the accuracy of the proposed scheme. Also the results show that the proposed method has better characteristic and performance in compare with P&O methods.
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    Application of golden section search MPPT control to grid-connected wind turbine driven PMSG
    (2018) Khelifa, Ayoub; Ben Haoua, Seif Eddine; Kheldoun, Aissa (Supervisor)
    This project is intended to design a PMSG based wind energy conversion system. Classical controllers, such as P&O MPPT algorithms are employed to ensure maximum power extraction from wind turbine. Speed of the generator is adjusted to match the wind turbine power- speed characteristics. In this project, a new MPPT algorithm is investigated to maximize the power coefficient Cp. The algorithm is based on Golden Section search principle and expected to be faster than the aforementioned algorithms.
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    Evaluation of global MPPT for stand-alone PV system
    (2018) Soufi, Ali; Mohammadi, Abdelhaq; Kheldoun, Aissa (Supervisor)
    Under partial shading conditions (e.g., due to buildings, trees, and clouds), multiple peaks may exist on the power-voltage (P-V) characteristic curve of photovoltaic (PV) array, leading to the conventional maximum power point tracking methods fail to extract the global maximum power point (GMPP). To further complicate matters, most conventional Maximum Power Point Tracking methods develop errors under certain circumstances (for example, they detect the local Maximum Power Point (LMPP) instead of the global MPP) and reduce the efficiency of PV systems even further. Presently, much research has been undertaken to improve upon them. This work describes a new fast and efficient