Actas de congresos
Multiarea optimal power flow using multiobjective evolutionary algorithm
2009 IEEE Power and Energy Society General Meeting, PES '09.
Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade Estadual Paulista (UNESP)
In this work the multiarea optimal power flow (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. ©2009 IEEE.
Showing items related by title, author, creator and subject.
Granada E., Mauricio; Rider, Marcos J.; Mantovani, José R. S.; Shahidehpour, Mohammad
Rueda-Medina, A. C.; Padilha-Feltrin, A.
UTP; Universidade Estadual de Campinas (UNICAMP); Universidade Estadual Paulista (UNESP); Illinois Institute of Technology (2008-12-01)This paper describes a method for the decentralized solution of the optimal reactive power flow (ORPF) problem in interconnected power systems. The ORPF model is solved in a decentralized framework, consisting of regions, ...