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 - Conference code: 25

PY - 2024/5/22

Y1 - 2024/5/22

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

UR - https://www.mendeley.com/catalogue/0ee6dd59-3b27-3058-a4e2-c83d67296fda/

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 -