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Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization

Dutta, S. ; Singh, S.P.

IEEE transactions on power systems, 2008-11, Vol.23 (4), p.1560-1569 [Periódico revisado por pares]

New York: IEEE

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Título:
Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization
Autor: Dutta, S. ; Singh, S.P.
Assuntos: Algorithms ; Congestion ; Constraints ; Deviation ; Electric utilities ; Energy management ; generator sensitivities ; Generators ; gradient methods ; Load flow ; Management ; optimal rescheduling ; Optimization ; optimization techniques ; Particle swarm optimization ; Power generation ; Power generation economics ; Power system economics ; Power system management ; Power system security ; Power system stability ; Rescheduling ; Studies ; transmission congestion management ; Voltage
É parte de: IEEE transactions on power systems, 2008-11, Vol.23 (4), p.1560-1569
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Descrição: Power system congestion is a major problem that the system operator (SO) would face in the post-deregulated era. Therefore, investigation of techniques for congestion-free wheeling of power is of paramount interest. One of the most practiced and an obvious technique of congestion management is rescheduling the power outputs of generators in the system. However, all generators in the system need not take part in congestion management. Development of sound formulation and appropriate solution technique for this problem is aimed in this paper. Contributions made in the present paper are twofold. Firstly a technique for optimum selection of participating generators has been introduced using generator sensitivities to the power flow on congested lines. Secondly this paper proposes an algorithm based on particle swarm optimization (PSO) which minimizes the deviations of rescheduled values of generator power outputs from scheduled levels. The PSO algorithm, reported in this paper, handles the binding constraints by a technique different from the traditional penalty function method. The effectiveness of the proposed methodology has been analyzed on IEEE 30-bus and 118-bus systems and the 39 -bus New England system.
Editor: New York: IEEE
Idioma: Inglês

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Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization

Dutta, S. ; Singh, S.P.

New York: IEEE

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