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

Authors

  • K. Sahithi Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad – 500085, India https://orcid.org/0009-0008-9039-6219
  • N. Yadaiah Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad – 500085, India

DOI:

https://doi.org/10.62760/iteecs.4.3.2025.142

Keywords:

Shunt Active Power Filter, Ant Colony Optimization, UPQC integrated with renewable energy (PV), Harmonics, Fuzzy Controller

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.

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Additional Files

Published

2025-07-28

How to Cite

K. Sahithi, & N. Yadaiah. (2025). An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC. International Transactions on Electrical Engineering and Computer Science, 4(3), 127–136. https://doi.org/10.62760/iteecs.4.3.2025.142

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