Optimal congestion management in an electricity market using particle swarm optimization with time-varying acceleration coefficients

Authors:
Panida Boonyaritdachochai;Chanwit Boonchuay;Weerakorn Ongsakul
Affiliations:
Energy Field of Study, School of Environmental, Resources and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand;Energy Field of Study, School of Environmental, Resources and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand;Energy Field of Study, School of Environmental, Resources and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand
Venue:
Computers & Mathematics with Applications
Year:
2010

Citing 2
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Abstract

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.