Economic dispatch in multi-area using particle swarm optimization in electricity market

E. Nasr Azadani, S. H. Hosseinian, B. Moradzadeh, Poria Astero

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

7 Citations (Scopus)


Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.

Original languageEnglish
Title of host publicationProceedings of 12th International Middle East Power System Conference, MEPCON 2008
Number of pages6
ISBN (Print)9781424419333
Publication statusPublished - 2008
MoE publication typeA4 Conference publication
EventInternational Middle East Power Systems Conference - Aswan, Egypt
Duration: 12 Mar 200815 Mar 2008
Conference number: 12


ConferenceInternational Middle East Power Systems Conference
Abbreviated titleMEPCON


  • Energy bidding price
  • Particle swarm optimization
  • Reserve bidding price


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