Planejamento da Expansão do Sistema de Transmissão via Coyote Optimization Algorithm

Mariana C. S. Perpetuo; Raphael P. B. Poubel; Wesley Peres

doi:10.20906/sbai.v1i1.2746

Mariana C. S. Perpetuo Departamento de Engenharia Elétrica, Centro Federal de Educação Tecnológica, MG
Raphael P. B. Poubel Departamento de Engenharia Elétrica, Centro Federal de Educação Tecnológica, MG
Wesley Peres Departamento de Engenharia Elétrica, Universidade Federal de São João del-Rei, MG

DOI: https://doi.org/10.20906/sbai.v1i1.2746

Keywords: Transmission Planning, Wind Generation, Generation Uncertainties, Bioinspired Optimization, Demand Uncertainties

Abstract

This work deals with the static planning expansion of electric power transmission systems considering uncertainties associated with wind generation. The goal is to determine the required reinforcements that meet the power balance constraints and minimize the implementation costs. Three algorithms are employed to solve the problem: Differential Evolution, Particle Swarm Optimization, and Coyote Optimization. After that, the best algorithm is chosen to solve the Garver, IEEE-24 bus, and Equivalent Brazilian Southern test systems considering wind.