Power
Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/3079
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Item Control of stand-alone PV system with global maximum power point identification(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Damou, Rezkallah; Saheb, Anis; Kheldoun, Aissa (Supervisor)As the world faces the depletion of fossil fuels and the adverse environmental impacts of their use, renewable energy sources have become crucial for sustainable development. Solar energy, one of the most abundant renewable resources, is harnessed using photovoltaic (PV) systems that convert sunlight into electrical energy. Despite their potential, PV systems are plagued by low efficiency and dependency on various factors such as solar irradiance, temperature, electrical load, and ambient conditions. One of the major challenges in PV systems is partial shading, which occurs when only a portion of the PV array is obstructed from sunlight. This shading can drastically reduce the overall power output and create multiple local maximum power points (LMPs) on the power curve, complicating the optimization process. In PV systems with partial shading, multiple LMPs and one global maximum power point (GMPP) exist. Hence, the identification of global maximum power point GMPP is needed, which is the main topic of this thesis. The project's method is applied and simulated using MATLAB and Simulink on a stand-alone photovoltaic system powered by an MPPT controller. The suggested method (Enhanced Adaptive P&O) produced outstanding results in differentiating between uniform irradiance and partial shading occurrences under a variety of insolation levels and complex shading scenarios. A comparative study based on convergence time, and efficiency is conducted along with other well-known techniques: Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). The obtained results demonstrated that the EA-P&O is either excellent or competitive with respect to tracking efficiency, convergence speed and eliminate the oscillation problem.Item Fuzzy logic – based hill climbing MPPT for wind driven permanent synchronous generator(2020) Abdellali, Lotfi; Merabet, Oussama; Kheldoun, Aissa (Supervisor)Wind power has become a rapidly growing technology as a kind of renewable energy resources. It plays a more and more important role with the increasing demand on energy every day. Unlike fossil fuel power sources, with the fact that it emits no air pollution or greenhouse gas, also its ability to generate high amount of power with no fuel consumption, therefore it is becoming much more reliable and promising to be number one source for clean energy in the very near future. Research of Wind Energy Conversion Systems (WECS) has gained great interest in the recent years to improve its behavior and response. One of the most important aspects is the Maximum Power Point Tracking (MPPT). The latter allows extracting the maximum power at the different wind speeds and therefore increasing the efficiency of the Variable-Speed Wind Turbine system when the wind speed is below the rated speed. Fuzzy sets are proposed in the present work to design the Maximum Power Point Controller. Simulation using Matlab /Simulink have shown that the investigated controller is fast and accurate.Item Implementation and simulation of PMSG driven by wind turbine and controlled by MPPT(2019) Akik, Iatidel; Denidni, Mohamed; Kheldoun, Aissa (Supervisor)Wind power is one of the fastest growing renewable energy technologies. It is very essential to extract the maximum available power from the wind by operating the wind turbine at its optimal operation condition, called maximum power point tracking (MPPT). Perturb and observe (P&O) is the simplest and mostly used algorithm for this purpose. However, this algorithm has its own disadvantages such as oscillation at maximum power point and wrong directionality under fast variation wind speed. In this project, a conventional P&O algorithm, a new algorithm based on Golden Section search principle and a Fuzzy logic MPPT algorithm for variable speed wind turbine using permanent magnet synchronous generator (PMSG) are tested and compared in the terms of complexity, speed responses and the ability to acquire the maximal energy output.