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Photovoltaic (PV) energy is amongst the most helpful renewable and sustainable energy sources since it offers a variety of benefits. Because it has a number of advantages [1], including being free, having a long life of usage, requiring very little maintenance, having no moving parts, and not being polluted [2]. However, one of the most significant PV flaws is that it has a nonlinear feature with only one point of operation where the generated power is at its peak, known as the Maximum Power Point (MPP), which is affected by environmental conditions such as temperature and irradiance [2]. It is critical to working around the MPP in order to optimize the electricity generation. The maximum power tacking controller is required to harvest the maximum power from the Photovoltaics System (PVS) by managing the DC-DC converter in order to effectively pursue this goal, many researchers deal with this topic [3][4][5]. In order to improve the response of traditional MPPT techniques, the researchers are still improving these by mixing with them and the intelligent technics to form a hybrid and optimized approach. The performance and the intricacy of these approaches, as well as their topologies and hardware implementations, varies. However, these techniques have a mutual objective is to optimize the efficiency of the PVS. The Perturbation and Observation (P&O) algorithm is straightforward and low-cost [3][6]. However, it has a flaw in steady-state response instead of tracking the MPP consistently, it causes the system output to bounce about. Furthermore, the P&O technic is unable to adapt to environmental conditions variation since it is unable of distinguishing between changes in power owing to environmental causes and changes due to internal perturbations [3][6]. The main objectives of this work are tracking and operating at the MPP based on P&O and fuzzy logic controller (FLC), regulating the DC link voltage to 650 V. The suggested approach is simulated in Matlab/Simulink environment. The PVS has been tested with KC200GT solar panel under various operating conditions. |
