Multiarea optimal power flow using multiobjective evolutionary algorithm
2009 IEEE Power and Energy Society General Meeting, PES '09.
Amorim, E. A.
Lima, F. G M
Mantovani, J. R S
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.
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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, ...