Publicação: Multiarea Optimal Power Flow using Multiobjective Evolutionary algorithm
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Ieee
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Trabalho apresentado em evento
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Resumo
In this work the multiarea optimal power now (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined area, without interfering in the neighboring areas. The regional OPF subproblems are modeled as a large-scale nonlinear constrained optimization problem, with both continuous and discrete variables. Constraints violated are handled as objective functions of the problem. In this way the original problem is converted to a multiobjective optimization problem, and a specifically-designed multiobjective evolutionary algorithm is proposed for solving the regional OPF subproblems. The proposed approach has been examined and tested on the RTS-96 and IEEE 354-bus test systems. Good quality suboptimal solutions were obtained, proving the effectiveness and robustness of the proposed approach.
Descrição
Palavras-chave
Decomposition methods, Evolutionary Algorithm, Multiarea Optimal Power Flow, Multiobjective Optimization
Idioma
Inglês
Como citar
2009 Ieee Power & Energy Society General Meeting, Vols 1-8. New York: Ieee, p. 4543-4550, 2009.
