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An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC

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Bibliographic Details
Title: An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC
Authors: K. Sahithi, N. Yadaiah
Source: International Transactions on Electrical Engineering and Computer Science, Vol 4, Iss 3 (2025)
Publisher Information: International Transactions on Electrical Engineering and Computer Science, 2025.
Publication Year: 2025
Subject Terms: UPQC integrated with renewable energy (PV), Harmonics, Shunt Active Power Filter, Fuzzy Controller, Electrical engineering. Electronics. Nuclear engineering, Ant Colony Optimization, TK1-9971
Description: This paper presents an intelligent, optimized control approach designed to enhance the quality of power in power grids. It achieves this by integrating a Shunt Active Filter (SAF) with a UPQC with a renewable energy source (photovoltaic). The Shunt Active Power Filter (SAPF) is controlled using Ant Colony Optimization (ACO), a warm-based algorithm that draws inspiration from how ants forage for food. This ACO algorithm dynamically tunes the control parameters of the current reference generation mechanism, resulting in improved harmonic compensation. The effectiveness of this ACO-based controller is measured against conventional Proportional Integral (PI) and Fuzzy Logic Controllers (FLC). The simulation results clearly demonstrate the outstanding performance of the proposed ACO-SAPF. This is evident through a considerable reduction in Harmonic Distortion (THD), a more rapid dynamic behavior, and improved quality of voltage and quality of current, even when load and generation conditions fluctuate.
Document Type: Article
ISSN: 2583-6471
DOI: 10.62760/iteecs.4.3.2025.142
Access URL: https://doaj.org/article/a932f739e0ed408e96970641f91174a6
Rights: CC BY
Accession Number: edsair.doi.dedup.....63778f797fae5bce74bcfd2b2ae4b58d
Database: OpenAIRE
Description
Abstract:This paper presents an intelligent, optimized control approach designed to enhance the quality of power in power grids. It achieves this by integrating a Shunt Active Filter (SAF) with a UPQC with a renewable energy source (photovoltaic). The Shunt Active Power Filter (SAPF) is controlled using Ant Colony Optimization (ACO), a warm-based algorithm that draws inspiration from how ants forage for food. This ACO algorithm dynamically tunes the control parameters of the current reference generation mechanism, resulting in improved harmonic compensation. The effectiveness of this ACO-based controller is measured against conventional Proportional Integral (PI) and Fuzzy Logic Controllers (FLC). The simulation results clearly demonstrate the outstanding performance of the proposed ACO-SAPF. This is evident through a considerable reduction in Harmonic Distortion (THD), a more rapid dynamic behavior, and improved quality of voltage and quality of current, even when load and generation conditions fluctuate.
ISSN:25836471
DOI:10.62760/iteecs.4.3.2025.142