TY - JOUR ID - 21273 TI - Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Verma, P. AU - Garg, R. AU - Mahajan, P. AD - Department of Electrical Engineering, Delhi Technological University, Bawana Road, Delhi, India-110042 Y1 - 2020 PY - 2020 VL - 27 IS - 6 SP - 3162 EP - 3174 KW - Solar Photovoltaic system KW - Perturb and Observation algorithm KW - Fuzzy and Asymmetrical Fuzzy algorithm KW - Shading loss KW - DC-DC Boost Converter DO - 10.24200/sci.2019.51737.2338 N2 - Partial shading conditions (PSCs) in Photovoltaic (PV) system is an inevasible situation which curtails the PV array output by exhibiting multiple peaks in its Power-Voltage (P-V) curve. The multiple peaks consist of a single global maximum power point (GMPP) and many local maximum power points (LMPP). The presence of multiple peaks makes tracking of maximum power point more difficult and demands an efficient controller to track the global peak of the P-V curve. In the present work, a novel intelligent asymmetrical Fuzzy Logic Control (AFLC) based maximum power point tracking (MPPT) algorithm has been proposed for tracking GMPP. The fuzzy membership functions of the proposed algorithm have been optimized using a heuristic approach. The algorithm has been designed, developed and analyzed using MATLAB/Simulink. Furthermore, to establish the superiority of proposed AFLC algorithm, it has been compared with conventional perturb & observe (P&O) algorithm and intelligent Fuzzy Logic Control (FLC) based algorithm for GMPP tracking and shading losses under standard test condition (STC) and partially shaded conditions. UR - https://scientiairanica.sharif.edu/article_21273.html L1 - https://scientiairanica.sharif.edu/article_21273_b571485615bb1bb9c32e7c1d1f20eec8.pdf ER -