WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 14, 2019
Power Management of a Solar-Battery based Stand-Alone System using Adaptive Neuro Fuzzy Inference System based Controller
Authors: , , , , ,
Abstract: This paper presents the performance of a solar-battery based stand-alone power system under the variation of load at the load side. This system consists of three converters namely, (i) Boost converter for solar PV system, (ii) Bi-directional boost converter for battery and (iii) three phase inverter to connect DC side with AC load side. Three control schemes are required for these three converters to manage the power flow among solar energy system, battery system and load. Therefore, Adaptive Neuro Fuzzy Inference System (ANFIS) based control schemes are designed for DC side boost converters i.e. for controlling of solar and battery system. The overall study system with all controllers is implemented in MATLAB/Simulink environment. Simulation results of the system with proposed controllers are obtained under variation of loads and constant (rated) solar irradiation and all results are analyzed in details. Results obtain with proposed controllers are compared with that of obtained with classical PI controller. Result shows that the proposed controller based on ANFIS gives better responses than classical PI controller.
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Pages: 145-155
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 14, 2019, Art. #18