Open AccessExperimental investigation of a multifunctional grid interactive photovoltaic system operating in partial shading conditions
Author(s) -
Shah Nilesh,
Rajagopalan Chudamani
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2015.0436
Subject(s) - photovoltaic system , maximum power point tracking , control theory (sociology) , matlab , computer science , grid , maximum power principle , fuzzy logic , ac power , algorithm , voltage , mathematics , engineering , inverter , electrical engineering , artificial intelligence , geometry , control (management) , operating system
In this study, a multifunctional grid interactive photovoltaic (PV) system working in partial shading conditions using a novel algorithm for tracking global peak power point (GPPP) is proposed. The system is capable of performing multiple functions like reactive power compensation and harmonic elimination besides injecting active power produced by PV array, into grid. The PV array is connected at the DC link of shunt active power filter via a DC–DC step‐up converter whose switching is controlled by the proposed GPPP tracking algorithm. The proposed algorithm determines the global peak amongst multiple peak points on the power–voltage ( P–V ) curve under partially shaded condition without getting trapped at a local maximum. The algorithm determines the approximate location of global peak by sampling the complete P–V curve in larger steps at regular interval and then uses fuzzy logic for finding the real peak. This method gives faster convergence and minimum oscillations around the GPPP. The algorithm is capable of tracking the GPPP under uniform insolation as well as partially shaded condition. The outcomes of the simulation study carried out using MATLAB/SIMULINK show the effectiveness of a proposed multifunctional PV system using fuzzy logic controlled GPPP tracking algorithm. The experimental results authenticate the simulation study.