Título: The Nomadic People Optimizer applied to the economic dispatch problem with prohibited operating zones
Autores: Lucas Santiago Nepomuceno, Gabriel Schreider da Silva, Edimar José de Oliveira, Arthur Neves de Paula and Edmarcio Antonio Belati
Resumo:
This work proposes the application of the Nomadic People Optimizer (NPO) to solve the economic dispatch problem considering Prohibitive Operating Zones (POZ). The NPO is a swarm-based metaheuristic recently introduced in the literature and still under-explored. In addition, the POZ increase the difficulties to find the optimal solution of the economic dispatch problem. The performance of the proposed methodology is compared with others metaheuristics present in the literature. Also, a sensibility analysis was performed. The NPO performed better than Ant Colony Optimization (ACO) and Whale Optimization Algorithm (WOA) metaheuristics in solving the problem.
Palavras-chave:
Nomadic People Optimizer, Economic dispatch, Prohibited operating zones, Metaheuristics, Bio-inspired optimization.
Páginas: 8
Código DOI: 10.21528/CBIC2021-112
Artigo em pdf: CBIC_2021_paper_112.pdf
Arquivo BibTeX: CBIC_2021_112.bib