Optimal Control of Bi-directional Converter to Enhance the Performance of an off-Grid Hybrid System
Received: 4 March 2025 | Revised: 8 April 2025 and 14 April 2025 | Accepted: 19 April 2025 | Online: 15 May 2025
Corresponding author: Abdelhak Kechida
Abstract
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.
Keywords:
bi-directional converter, PI-controller, ANFIS, hybrid system, renewable energyDownloads
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Copyright (c) 2025 Abdelhak Kechida, Djamal Gozim, Belgacem Toual, Derradji Bakria

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