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dc.contributor.authorKumar, J Vijaya-
dc.contributor.authorPash, Shaik Jameer-
dc.contributor.authorKumar, D.M.Vinod-
dc.date.accessioned2024-11-14T07:02:56Z-
dc.date.available2024-11-14T07:02:56Z-
dc.date.issued2010-
dc.identifier.citation10.1109/INDCON.2010.5712648en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1514-
dc.descriptionNITWen_US
dc.description.abstractIn this paper, particle swarm optimization method is proposed to determine the optimal bidding strategy in competitive electricity market. The market includes Generating companies (Genco’s), large consumers who participate in demand side bidding, and small consumers whose demand is present in aggregate form. The effectiveness of the proposed method is tested with IEEE-30 bus system in which six generators and two large consumers are considered. Results are compared with the solutions obtained using the Genetic algorithm and Monte Carlo method.en_US
dc.language.isoenen_US
dc.publisherProceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010en_US
dc.subjectElectricity marketen_US
dc.subjectDeregulationen_US
dc.subjectOptimal bidding Strategyen_US
dc.subjectMarket clearing price (MCP)en_US
dc.titleStrategic Bidding in Deregulated Market using Particle Swarm Optimizationen_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

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