A Decomposition Methodology Applied to the Multi-Area Optimal Power Flow Problem

Francisco Nogales (), Francisco Prieto () and Antonio Conejo ()

Annals of Operations Research, 2003, vol. 120, issue 1, 99-116

Abstract: This paper describes a decomposition methodology applied to the multi-area optimal power flow problem in the context of an electric energy system. The proposed procedure is simple and efficient, and presents some advantages with respect to other common decomposition techniques such as Lagrangian relaxation and augmented Lagrangian decomposition. The application to the multi-area optimal power flow 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. Copyright Kluwer Academic Publishers 2003

Keywords: electric energy systems; multi-area optimal power flow; nonlinear programming; decomposition methods; decentralized coordination (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (14)

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DOI: 10.1023/A:1023374312364

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