Optimal Control of Bi-directional Converter to Enhance the Performance of an off-Grid Hybrid System

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This paper presents a new method based on Artificial Intelligence (AI), for the optimal control of a bidirectional converter. The goal is to improve the DC bus voltage efficiency of a grid-independent hybrid system. The proposed design consists of a Photovoltaic System (PVS), a Wind Energy Conversion System (WECS), a Battery Storage System (BSS), and a variety of electronic power devices to extract the maximum energy from the generation sources. A bidirectional converter is featured in the use of an Adaptive Network-based Fuzzy Inference System (ANFIS) based controller, to improve the energy quality of the DC bus. The proposed approach provided good results compared to the Proportional Integral (PI) controller and the Fuzzy Logic controller (FLC). The use of this approach reduced the value of oscillations, improved the response time of the system, and contributed to the elimination of the problem of overshoot. This experiment was conducted using Matlab and Simulink.

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