Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 60, Issue 4, Pages 1068-1077Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2010.03.064
Keywords
Congestion management; Electricity market; Generation redispatch; Generator sensitivity; Particle swarm optimization
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This paper proposes an optimal congestion management approach in a deregulated electricity market using particle swarm optimization with time-varying acceleration coefficients (PSO-TVAC). Initially, the values of generator sensitivity are used to select redispatched generators. PSO-TVAC is used to determine the minimum redispatch cost. Test results on IEEE 30-bus and 118-bus systems indicate that the PSO-TVAC approach could provide a lower rescheduling cost solution compared to classical particle swarm optimization and particle swarm optimization with time-varying inertia weight. (C) 2010 Elsevier Ltd. All rights reserved.
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