Show simple item record

dc.contributor.authorHabavi, S.
dc.contributor.authorMasoum, Mohammad Sherkat
dc.contributor.authorKazemi, A.
dc.date.accessioned2017-01-30T12:05:51Z
dc.date.available2017-01-30T12:05:51Z
dc.date.created2015-03-03T20:17:15Z
dc.date.issued2010
dc.identifier.citationHabavi, S. and Masoum, M.S. and Kazemi, A. 2010. An Optimal Transmission Congestion Management in Open Power Markets. International Review of Automatic Control. 3 (4): pp. 424-431.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18080
dc.description.abstract

Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software are presented and compared for 3-bus and 5-bus test systems.

dc.publisherPraise Worthy Prize
dc.relation.urihttp://www.praiseworthyprize.com/IREACO-latest/IREACO_vol_3_n_4.html
dc.titleAn Optimal Transmission Congestion Management in Open Power Markets
dc.typeJournal Article
dcterms.source.volume3
dcterms.source.number4
dcterms.source.startPage424
dcterms.source.endPage431
dcterms.source.issn19746067
dcterms.source.titleInternational Review of Automatic Control
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record