Open AccessFuzzy Logic Controlled PV Based Quasi Impedance Source Inverter for Charge Balancing
Author(s) -
Deepak Fulwani,
L. Sahaya Senthamil,
S. Umamaheswari,
J Punitha Nicholine,
R. Joseph Rathish
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a5338.119119
Subject(s) - photovoltaic system , maximum power point tracking , battery (electricity) , state of charge , inverter , controller (irrigation) , fuzzy logic , computer science , power (physics) , control theory (sociology) , engineering , electrical engineering , electronic engineering , voltage , control (management) , physics , agronomy , quantum mechanics , artificial intelligence , biology
A photovoltaic power generation system based on battery-energy quasi impedance source cascaded multi-level inverter incorporates the advantages of a quasi-impedance source inverter, a CMI, and a battery-energy storage unit. Unbalanced battery charging between cascaded H-bridge inverter modules will degrade the efficiency of an entire system and reduce the lifetime of the battery. This paper proposed a control method for tracking the maximum power point and balancing the SOC of the battery under the large variation of solar input. A fuzzy based optimized linearizer for the battery charge and maximum power point tracking are proposed. The fuzzy controller is proposed to enhance the battery state of charge regulation takes as a individual modules as a loop to reduce over charge condition. The Proposed method validation is done by comparing it with base work control by PI and P&O with the performance parameters. The base work and proposed work are designed and simulated in the Matlab Simulink software.