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Sliding Mode MPPT Controller for Photovoltaic Systems Under Partial Shading Conditions
Author(s) -
Min Ding,
Yi Tang,
Weihua Cao,
Zhili Tan,
Qingyi Wang,
Danyun Li
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p1112
Subject(s) - maximum power point tracking , photovoltaic system , computer science , control theory (sociology) , controller (irrigation) , matlab , maximum power principle , sliding mode control , battery (electricity) , shading , power (physics) , voltage , nonlinear system , engineering , electrical engineering , control (management) , physics , artificial intelligence , agronomy , computer graphics (images) , inverter , quantum mechanics , biology , operating system
This study focuses on maximum power point tracking (MPPT) control for photovoltaic (PV) power generation systems under partial shading conditions. A mathematic model of the partially shaded solar cell is built. Then, the output characteristics of the partial-shade array are analyzed. Based on the model of the PV battery and the concept of the average-state switch cycle, an average-state mathematical model of the PV power generation system using a boost circuit for the realization circuit is established. A sliding mode controller based on the integral sliding mode function is designed to realize MPPT in the PV power generation system. Finally, simulations in MATLAB/Simulink confirm the functionality and performance of the proposed controller.

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