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- Multiarea optimal power flow using multiobjective evolutionary algorithm
- 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.
- 2009 IEEE Power and Energy Society General Meeting, PES '09.
- 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
- Suboptimal solution
- Test systems
- Acoustic generators
- Constrained optimization
- Electric load flow
- Evolutionary algorithms
- Operations research
- Potential energy
- Potential energy surfaces
- Power electronics
- Acesso restrito
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