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

E. Nasr Azadani, S. H. Hosseinian, B. Moradzadeh, P. Hasanpor

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

5 Citations (Scopus)

Abstract

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 publication12th International Middle East Power System Conference, MEPCON 2008
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages559-564
ISBN (Electronic)978-1-4244-1934-0
ISBN (Print)978-1-4244-1933-3
DOIs
Publication statusPublished - 18 Sep 2008
MoE publication typeA4 Article in a conference publication
Event2008 12th International Middle East Power System Conference, MEPCON 2008 - Aswan, Egypt
Duration: 12 Mar 200815 Mar 2008

Conference

Conference2008 12th International Middle East Power System Conference, MEPCON 2008
CountryEgypt
CityAswan
Period12/03/0815/03/08

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Keywords

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

Cite this

Azadani, E. N., Hosseinian, S. H., Moradzadeh, B., & Hasanpor, P. (2008). Economic dispatch in multi-area using particle swarm optimization in electricity market. In 12th International Middle East Power System Conference, MEPCON 2008 (pp. 559-564). [4562353] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/MEPCON.2008.4562353