SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01, FEB 2018 PP.(164-168)
Abstract– In photovoltaic (PV) power generation, partial shading is an unavoidable complication that significantly reduces the efficiency of the overall system. Under this condition, the PV system produces a multiple-peak function in its output power characteristic. Thus, a reliable technique is required to track the global maximum power point (GMPP) within an appropriate time. This study aims to employ a hybrid evolutionary algorithm called the DEPSO technique, a combination of the differential evolutionary (DE) algorithm and particle swarm optimization (PSO), to detect the maximum power point under partial shading conditions. The paper starts with a brief description about the behavior of PV systems under partial shading conditions. Then, the DEPSO technique along with its implementation in maximum power point tracking (MPPT) is explained in detail. Finally, Simulation and experimental results are presented to verify the performance of the proposed technique under different partial shading conditions.
Index Terms – Differential evolution (DE) algorithm, maximum power point tracking (MPPT), partial shading, particle swarm optimization (PSO), photovoltaic (PV) system.
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YAGINI.K, Dr. E. LATHAMERCY
Government College of Technology,
Coimbatore, India.
K.yagini@gmail.com