Multi-area decentralized optimal VAr planning using the Dantzig-Wolfe decomposition principle
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Data
2011-05-31
Autores
López, Julio C. [UNESP]
Granada, Mauricio [UNESP]
Mantovani, J. R S [UNESP]
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Resumo
This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems (one for each area) and a master problem (coordinator). The solution of the VAr planning problem in each area is based on the application of successive linear programming, and the coordination scheme is based on the reactive power marginal costs in the border bus. The aim of the model is to provide coordinated mechanisms to carry out the VAr planning studies maximizing autonomy and confidentiality for each area, assuring global economy to the whole system. Using the mathematical model and computational implementation of the proposed methodology, numerical results are presented for two interconnected systems, each of them composed of three equal subsystems formed by IEEE30 and IEEE118 test systems. © 2011 IEEE.
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Dantzig-Wolfe, multi-area VAr planning, optimal power flow successive linear programming, optimal reactive dispatch, Computational implementations, Coordination scheme, Dantzig-wolfe decomposition, Global economies, Interconnected systems, Marginal costs, Numerical results, Reactive dispatch, Sub-problems, Successive linear programming, Test systems, VAr Planning, Whole systems, Electric power transmission, Linear programming, Mathematical models, Optimization, Value engineering
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2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 92-98.