Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorValinejad, Jaberen_US
dc.contributor.authorMarzband, Mousaen_US
dc.contributor.authorBarforoshi, Taghien_US
dc.contributor.authorKyyrä, Jormaen_US
dc.contributor.authorPouresmaeil, Edrisen_US
dc.contributor.departmentVirginia Techen_US
dc.contributor.departmentNorthumbria Universityen_US
dc.contributor.departmentBabol Noshirvani University of Technologyen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen_US
dc.contributor.editorSantini, Ezioen_US
dc.contributor.editorDi Gennaro, Stefanoen_US
dc.contributor.editorBruzzese, Claudioen_US
dc.date.accessioned2019-09-25T14:13:30Z
dc.date.available2019-09-25T14:13:30Z
dc.date.issued2019-01-16en_US
dc.description.abstractThis paper aims to presents dynamic stochastic an equilibrium problem with equilibrium constraints (DSEPEC) model to invistigate the generation capacity expansion at a certain time horizon and the presence of dominant producers. The DSEPEC model is proposed while there is an uncertainty in the predicted demand, and it is modeled based on discrete Markov model. Each dominant producer is modeled by a bi-level optimization problem so that the first level and the second level provide models for the investment and operation decisions, respectively. The supply function equilibrium (SFE) is used for short-term electricity market. Then, each bi-level model is convert to dynamic stochastic mathemathical problem with equilibrium constraints (DSMPEC). To convert DSEPEC to an auxiliary MILP problem, Karush-Kuhn-Tucker (KKT) conditions as well as primal-dual transformation. A sample two-buses power network is employed for simulation and necessary analysis to confirm the efficiency of the proposed framework.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationValinejad , J , Marzband , M , Barforoshi , T , Kyyrä , J & Pouresmaeil , E 2019 , Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning . in E Santini , S Di Gennaro & C Bruzzese (eds) , Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 . , 8617107 , IEEE , International Symposium on Environment-Friendly Energies and Applications , Rome , Italy , 24/09/2018 . https://doi.org/10.1109/EFEA.2018.8617107en
dc.identifier.doi10.1109/EFEA.2018.8617107en_US
dc.identifier.isbn9781538655177
dc.identifier.otherPURE UUID: ea9e5c7c-2003-4a42-87b0-fe617ca9ad7ben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/ea9e5c7c-2003-4a42-87b0-fe617ca9ad7ben_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85055106913&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/37080011/ELEC_Valinejad_etal_Dynamic_Stochastic_EPEC_Model_EFEA2018_acceptedauthormanuscript.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/40473
dc.identifier.urnURN:NBN:fi:aalto-201909255494
dc.language.isoenen
dc.relation.ispartofInternational Symposium on Environment-Friendly Energies and Applicationsen
dc.relation.ispartofseriesProceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018en
dc.rightsopenAccessen
dc.subject.keywordGeneration exansionen_US
dc.subject.keywordEPECen_US
dc.subject.keywordMPECen_US
dc.subject.keywordMultistage planningen_US
dc.subject.keywordDynamic strochastic modelen_US
dc.titleDynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planningen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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