Título: Optimal Power Flow Using Genetic Algorithm
Autores: Fernando Buzzulini Prioste
Resumo:
This paper presents a genetic algorithm (GA) to solve Optimal Power Flow (OPF) problems, optimizing electricity generation fuel cost. The GA based OPF is a derivative free optimization technique that relies on the evaluation of several points in the parameter search space strictly on the objective function. A 3 bus system and the IEEE 30 bus test system are used to validate the developed GA based OPF by means of comparisons with an interior point based optimal power flow.
Palavras-chave:
Electric Power Systems, Optimal Power Flow, Nonlinear Optimization, Genetic Algorithm, Interior Point.
Páginas: 6
Código DOI: 10.21528/CBIC2021-144
Artigo em pdf: CBIC_2021_paper_144.pdf
Arquivo BibTeX: CBIC_2021_144.bib