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. Preprints2023, 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
Noureddine, S.; Morsli, S.; Tayeb, A. Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid. Preprints2023, 2023081177. https://doi.org/10.20944/preprints202308.1177.v1
APA Style
Noureddine, S., Morsli, S., & Tayeb, A. (2023). Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid. Preprints. https://doi.org/10.20944/preprints202308.1177.v1
Chicago/Turabian Style
Noureddine, S., SEBAA Morsli and Allaoui Tayeb. 2023 "Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid" Preprints. 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
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.