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A decomposition methodology applied to the multiarea optimal power flow problem

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2003-04
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Springer
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Abstract
This paper describes a decomposition methodology applied to the multi-area optimal power fiow problem in the context of an electric energy system. The proposed procedure is simple and efficient, and presents sorne advantages with respect to other common decomposition techniques such as Lagrangian relaxation and augmented Lagrangian decomposition. The application to the multi-area optimal power fiow problem allows the computation of an optimal coordinated but decentralized solution. The proposed method is appropriate for an Independent System Operator in charge of the electric energy system technical operation. Convergence properties of the proposed decomposition algorithm are described and related to the physical coupling between the areas. Theoretical and numerical results show that the proposed decentralized methodology has a lower computational cost than other decomposition techniques, and in large large-scale cases even lower than a centralized approach.
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The original publication is available at www.springerlink.com
Keywords
Electric energy systems, Multi-area optimal power fiow, Nonlinear prograrnming, Decomposition methods, Decentralized coordination
Bibliographic citation
Annals of Operations Research; Apr 2003; 120, 1; p. 99-116