Publicação: Multiarea optimal power flow using multiobjective evolutionary algorithm
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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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Decomposition methods, Evolutionary algorithm, Multiarea optimal power flow, Multiobjective optimization, Discrete variables, Multi objective evolutionary algorithms, Multi-objective optimization problem, Nonlinear constrained optimization problems, Objective functions, Optimal dispatch, Optimal power flow problem, Optimal power flows, Sub-problems, Suboptimal solution, Test systems, Acoustic generators, Constrained optimization, Electric load flow, Evolutionary algorithms, Operations research, Potential energy, Potential energy surfaces, Power electronics
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Inglês
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2009 IEEE Power and Energy Society General Meeting, PES '09.
