A game theory approach for maximum utilization of wind power by DR in residential consumers

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorTavakkoli, Mehdien_US
dc.contributor.authorFattaheian-Dehkordi, Sajjaden_US
dc.contributor.authorPourakbari-Kasmaei, Mahdien_US
dc.contributor.authorLiski, Mattien_US
dc.contributor.authorLehtonen, Mattien_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.departmentDepartment of Economicsen
dc.contributor.groupauthorPower Systems and High Voltage Engineeringen
dc.date.accessioned2021-03-22T07:10:29Z
dc.date.available2021-03-22T07:10:29Z
dc.date.issued2020-10-26en_US
dc.description.abstractThis paper proposes an indirect load control demand response (DR) strategy for residential houses. A Stackelberg game theory is applied to account for the interaction between the aggregator in one side and the consumers on the other side. The aggregator, which owns a wind power plant, strives to maximize wind power utilization by consumers. Therefore, it motivates the consumers to adjust their load demand according to the forecasted wind power production by offering a bonus to them. On the other hand, consumers attempt to achieve the highest amount of reward by changing their load profile. It is assumed that each consumer has a critical load of which they have no control, and also a flexible load such as heat, ventilation and air conditioning (HVAC) system which can regulate its demand while keeping the temperature in a specified band. In this way, the consumers' comfort level is entirely maintained. In addition, for the sake of considering the uncertainty, several scenarios for wind and also consumers' demand are considered in this work.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationTavakkoli, M, Fattaheian-Dehkordi, S, Pourakbari-Kasmaei, M, Liski, M & Lehtonen, M 2020, A game theory approach for maximum utilization of wind power by DR in residential consumers. in Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020., 9248820, IEEE PES Innovative Smart Grid Technologies Conference Europe, IEEE, pp. 111-115, IEEE PES Innovative Smart Grid Technologies Conference Europe, Virtual, Online, 26/10/2020. https://doi.org/10.1109/ISGT-Europe47291.2020.9248820en
dc.identifier.doi10.1109/ISGT-Europe47291.2020.9248820en_US
dc.identifier.isbn978-1-7281-7100-5
dc.identifier.issn2165-4816
dc.identifier.issn2165-4824
dc.identifier.otherPURE UUID: 9798dc8b-bfd2-4a6c-9c0a-938a10f75024en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/9798dc8b-bfd2-4a6c-9c0a-938a10f75024en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/56890871/ELEC_Tavakkoli_etal_A_Game_Theory_IGST_Europe_2020_acceptedauthormanuscript.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/103256
dc.identifier.urnURN:NBN:fi:aalto-202103222534
dc.language.isoenen
dc.relation.ispartofIEEE PES Innovative Smart Grid Technologies Conference Europeen
dc.relation.ispartofseriesProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020en
dc.relation.ispartofseriespp. 111-115en
dc.relation.ispartofseriesIEEE PES Innovative Smart Grid Technologies Conference Europeen
dc.rightsopenAccessen
dc.subject.keywordGame theoryen_US
dc.subject.keywordHVAC systemsen_US
dc.subject.keywordIndirect load controlen_US
dc.subject.keywordStochastic programmingen_US
dc.titleA game theory approach for maximum utilization of wind power by DR in residential consumersen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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