Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Wolmar Araújo Neto
  • Murillo Ferreira dos Santos
  • Leonardo Rocha Olivi
  • Exuperry Barros Costa
  • Paolo Mercorelli

This paper investigates the Fish School Search (FSS) algorithm’s effectiveness for optimizing capacitor placement in electrical distribution networks, focusing on the challenges of increasing demand and aging infrastructures. The study assesses FSS’s unique capability to evade local optima, contrasting its performance with established methods like Ant Colony (AC), Constructive Heuristic Algorithm (CHA), and Genetic Algorithm (GA) in various systems, including IEEE-14, IEEE-33, and IEEE-69 buses. Results highlight FSS’s superior performance in reducing active losses, using fewer resources and iterations. This research underscores the potential of bio-inspired algorithms in complex power distribution challenges and suggests new directions for algorithmic efficiency and broader application.

Original languageEnglish
Title of host publicationProceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
EditorsAndrzej Kot
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date22.05.2024
ISBN (print)979-8-3503-5071-5
ISBN (electronic)979-8-3503-5070-8, 979-8-3503-5069-2
DOIs
Publication statusPublished - 22.05.2024
Event25th International Carpathian Control Conference - ICCC 2024 - Hotel Krynica****, Krynica Zdroj, Poland
Duration: 22.05.202424.05.2024
Conference number: 25
https://iccc.agh.edu.pl/#top

Bibliographical note

Publisher Copyright:
©2024 IEEE.

    Research areas

  • Bio-inspired Algorithms, Capacitor Bank Allocation, Electrical Distribution System
  • Engineering

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