Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. ed. / Andrzej Kot. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
AU - Neto, Wolmar Araújo
AU - dos Santos, Murillo Ferreira
AU - Olivi, Leonardo Rocha
AU - Costa, Exuperry Barros
AU - Mercorelli, Paolo
N1 - Publisher Copyright: ©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Bio-inspired Algorithms
KW - Capacitor Bank Allocation
KW - Electrical Distribution System
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85198511005&partnerID=8YFLogxK
U2 - 10.1109/ICCC62069.2024.10569594
DO - 10.1109/ICCC62069.2024.10569594
M3 - Article in conference proceedings
AN - SCOPUS:85198511005
SN - 979-8-3503-5071-5
T3 - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
BT - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024
A2 - Kot, Andrzej
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Carpathian Control Conference, ICCC 2024
Y2 - 22 May 2024 through 24 May 2024
ER -