Multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II

Autor(es)

Pereira Junior, Benvindo R. ; Cossi, Antonio M. ; Mantovani, Jose R. S.

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 24, n. 3, p. 14-pg., 2013-06-01.

Resumo

This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor banks; voltage regulators; the cable replacement of branches and feeders. The objective functions considered in the proposed model are: to minimize operational and investment costs and minimize the voltage deviations in the the network buses, subject to a set of technical and operational constraints. A multiobjective genetic algorithm based on a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve this model. The proposed mathematical model and solution methodology is validated testing a medium voltage distribution system with 135 buses. (AU)

• Processo FAPESP: 09/08428-4 - Planejamento de Médio e Longo Prazo de Sistemas de Distribuição de Energia Elétrica com Geradores Distribuídos (GDs) Considerando Custos de Confiabilidade, Operação e Expansão.
• Beneficiário: Benvindo Rodrigues Pereira Junior
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 09/53841-7 - Planejamento, análise e confiabilidade de sistemas de energia elétrica
• Beneficiário: José Roberto Sanches Mantovani
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários