A Demand-Side Management-Based Model for G&TEP Problem Considering FSC Allocation

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZeinaddini-Meymand, Majiden_US
dc.contributor.authorRashidinejad, Masouden_US
dc.contributor.authorAbdollahi, Amiren_US
dc.contributor.authorPourakbari-Kasmaei, Mahdien_US
dc.contributor.authorLehtonen, Mattien_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorPower Systems and High Voltage Engineeringen
dc.contributor.organizationShahid Bahonar University of Kermanen_US
dc.date.accessioned2019-06-20T13:14:50Z
dc.date.available2019-06-20T13:14:50Z
dc.date.issued2019-09-01en_US
dc.description.abstractThis paper presents a model for multiperiod generation and transmission expansion planning (G&TEP) problem in the presence of uncertainties in the strategies of market participants. The effects of demand response (DR) and fixed series compensation (FSC) devices allocation are considered for peak shaving purposes and optimal utilization of transmission capacity, respectively. This may cutback the generating expansion capacity and transmission investment costs. The optimal expansion plan is achieved while the uncertainties in the generators' offers and demands' bids are considered in the market model. In this model, the DR preferences are integrated into the market clearing process of the independent system operator (ISO), which is applied to the load aggregators according to the locational marginal and market clearing prices. Shifting the demand, curtailing the peak, and onsite generation are considered as load reduction strategies in the demand response program. The ISO optimizes the decision submitted by generating companies and load aggregators in the presence of uncertainties. The proposed model is applied to the Garver, single-, two-, and four-area IEEE-RTS 24-bus systems to show the effectiveness of the multioptional DR program and the FSC devices in the dynamic G&TEP problems.en
dc.description.versionPeer revieweden
dc.format.extent12
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZeinaddini-Meymand, M, Rashidinejad, M, Abdollahi, A, Pourakbari-Kasmaei, M & Lehtonen, M 2019, ' A Demand-Side Management-Based Model for G &TEP Problem Considering FSC Allocation ', IEEE Systems Journal, vol. 13, no. 3, pp. 3242-3253 . https://doi.org/10.1109/JSYST.2019.2916166en
dc.identifier.doi10.1109/JSYST.2019.2916166en_US
dc.identifier.issn1932-8184
dc.identifier.issn1937-9234
dc.identifier.otherPURE UUID: 83f1218d-71ef-4b88-9ebe-2102b16c5de0en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/83f1218d-71ef-4b88-9ebe-2102b16c5de0en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/34381701/ELEC_Zeinaddini_Meymand_etal_A_Demand_Side_IEEESystHou_2019_accepted.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38842
dc.identifier.urnURN:NBN:fi:aalto-201906203908
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseriesIEEE Systems Journalen
dc.rightsopenAccessen
dc.subject.keywordBenders decompositionen_US
dc.subject.keywordDemand responseen_US
dc.subject.keywordDynamic generation-transmission expansion planningen_US
dc.subject.keywordFixed series compensationen_US
dc.subject.keywordPeak load reductionen_US
dc.titleA Demand-Side Management-Based Model for G&TEP Problem Considering FSC Allocationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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