Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid

Version 1 : Received: 15 August 2023 / Approved: 16 August 2023 / Online: 16 August 2023 (10:36:58 CEST)

How to cite: Noureddine, S.; Morsli, S.; Tayeb, A. Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid. Preprints 2023, 2023081177. https://doi.org/10.20944/preprints202308.1177.v1 Noureddine, S.; Morsli, S.; Tayeb, A. Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid. Preprints 2023, 2023081177. https://doi.org/10.20944/preprints202308.1177.v1

Abstract

Recently, new advanced techniques have been proposed to improve the quality of smart grids that use intermittent renewable energy sources. One of the most effective techniques is active filtering, which utilizes a power electronic converter in the smart load. This technique has the potential to enhance the power quality of the supply voltage by minimizing current harmonics, which is crucial. In this article, we propose a new command intelligence system based on Fuzzy PI fractional (fuzzy FOPI) and GA to control the harmonic currents generated by an active filter powered by a wind system.

Keywords

active filter; GA; FOPI; fuzzy FOPI; GA-Fuzzy FOPI

Subject

Engineering, Control and Systems Engineering

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