Multiarea optimal power flow using multiobjective evolutionary algorithm

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Data

2009-12-17

Autores

Amorim, E. A.
Lima, F. G M
Romero, R. [UNESP]
Mantovani, J. R S [UNESP]

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Resumo

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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Palavras-chave

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

Como citar

2009 IEEE Power and Energy Society General Meeting, PES '09.