Fluxo de potência ótimo descentralizado utilizando algoritmos evolutivos multiobjetivo
This work presents the development of a computational tool for decentralized optimal power flow (OPF) solution. For this purpose, the OPF problem is decoupled into areas defining several regional OPF subproblems. The OPF is modeled as a constrained nonlinear optimization problem, non-convex, in that...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2009 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.unesp.br:11449/212739 |
| Acceso en línea: | http://dx.doi.org/10.1590/S0103-17592009000200009 http://hdl.handle.net/11449/212739 |
| Access Level: | acceso abierto |
| Palabra clave: | Decentralized Optimal Power Flow Decomposition Technical Evolutionary Algorithm Fuzzy Set Multiobjective Optimization Algoritmos Evolutivos Conjuntos fuzzy Fluxo de Potência Ótimo Técnicas de Decomposição Otimização Multiobjetivo |
| Sumario: | This work presents the development of a computational tool for decentralized optimal power flow (OPF) solution. For this purpose, the OPF problem is decoupled into areas defining several regional OPF subproblems. The OPF is modeled as a constrained nonlinear optimization problem, non-convex, in that the active power losses and optimal dispatch of active and reactive power are minimized simultaneously. Regional OPF subproblems are solved by multiobjective evolutionary algorithm based on the Pareto theory. The proposed approach employs a diversity-preserving mechanism to overcome the premature convergence of algorithm and local optimal solutions. Fuzzy set theory is employed to extract the best compromises of the Pareto set. In addition, a hierarchical clustering algorithm is implemented for reducing Pareto set. To validate the efficiency of the model and the proposed solution technique, the results e analyses of the simulations with the RTS-96 e IEEE-354 test systems are presented. |
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