Open AccessA PSO – I GWO Algorithm Based MPPT for PV System under Partial Shading Conditions
Author(s) -
M. R. Mohamed K. Sudhakar and K. Peddakapu D J Krishna Kishore
Publication year - 2021
Publication title -
international journal for modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst0709035
Subject(s) - cuckoo search , particle swarm optimization , photovoltaic system , matlab , maxima and minima , shading , convergence (economics) , maximum power point tracking , computer science , mathematical optimization , algorithm , power (physics) , control theory (sociology) , engineering , mathematics , artificial intelligence , physics , inverter , mathematical analysis , computer graphics (images) , control (management) , quantum mechanics , economic growth , electrical engineering , economics , operating system
Solar photovoltaic (PV) is skyrocketing energy due to its advancement in technology. Nevertheless, PV energy face somedifficulties under partial shading conditions (PSC) easily fall into local maxima instead of maximum peak power (MPP),oscillations around MPP when we used conventional algorithms. To avoid this problem a hybrid model of particle swarmoptimization and improved grey wolf optimization (PSO – I GWO) based metaheuristic algorithm is used in this paper. It isdeveloped and implemented in Matlab/ Simulink environment for different irradiation conditions. Moreover, the proposedalgorithm is compared with another existing algorithm of cuckoo search optimization (CSO). Eventually, the hybrid model issuperior to CSO in terms of convergence time, extracted power, and efficiency.
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