Investigating Wind Generation Investment Indices in Multi-Stage Planning

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorValinejad, Jaberen_US
dc.contributor.authorMarzband, Mousaen_US
dc.contributor.authorBusawon, Krishnaen_US
dc.contributor.authorKyyrä, Jormaen_US
dc.contributor.authorPouresmaeil, Edrisen_US
dc.contributor.departmentVirginia Techen_US
dc.contributor.departmentNorthumbria Universityen_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.accessioned2019-09-25T14:13:39Z
dc.date.available2019-09-25T14:13:39Z
dc.date.issued2019-01-16en_US
dc.description.abstractThis paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationValinejad , J , Marzband , M , Busawon , K , Kyyrä , J & Pouresmaeil , E 2019 , Investigating Wind Generation Investment Indices in Multi-Stage Planning . in E Santini , S Di Gennaro & C Bruzzese (eds) , Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 . , 8617106 , IEEE , International Symposium on Environment-Friendly Energies and Applications , Rome , Italy , 24/09/2018 . https://doi.org/10.1109/EFEA.2018.8617106en
dc.identifier.doi10.1109/EFEA.2018.8617106en_US
dc.identifier.isbn9781538655177
dc.identifier.otherPURE UUID: f5029222-6617-4ae8-a340-e680dbd75c91en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/f5029222-6617-4ae8-a340-e680dbd75c91en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85055133188&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/37079670/ELEC_Valinejad_etal_Investigating_Wind_Generation_EFEA_2018.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/40476
dc.identifier.urnURN:NBN:fi:aalto-201909255497
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.keywordCapacity investmenten_US
dc.subject.keywordPower marketen_US
dc.subject.keywordWinden_US
dc.subject.keywordDynamic planningen_US
dc.subject.keywordStochastic approachen_US
dc.titleInvestigating Wind Generation Investment Indices in Multi-Stage Planningen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
Files