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

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.

OriginalspracheEnglisch
TitelProceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
HerausgeberAndrzej Kot
Anzahl der Seiten6
VerlagInstitute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum22.05.2024
ISBN (Print)979-8-3503-5071-5
ISBN (elektronisch)979-8-3503-5070-8, 979-8-3503-5069-2
DOIs
PublikationsstatusErschienen - 22.05.2024
Veranstaltung25th International Carpathian Control Conference - ICCC 2024 - Hotel Krynica****, Krynica Zdroj, Polen
Dauer: 22.05.202424.05.2024
Konferenznummer: 25
https://iccc.agh.edu.pl/#top

Bibliographische Notiz

Publisher Copyright:
©2024 IEEE.

DOI

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