The Influence of State-of-Charge Estimation Errors on Electric Vehicle Aggregator Benefits in Frequency Containment Reserves

dc.contributorAalto Universityen
dc.contributor.authorJamroen, Chaowananen_US
dc.contributor.authorRerkpreedapong, Dulpicheten_US
dc.contributor.authorDechanupaprittha, Sanchaien_US
dc.contributor.authorAstero, Poriaen_US
dc.contributor.departmentKasetsart Universityen_US
dc.contributor.departmentPower Systems and High Voltage Engineeringen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.description.abstractIn recent years, variable renewable energy sources (RES) have been integrated into electricity generation to reduce reliance on fossil fuels. RES integration into conventional power systems diminishes rotational inertia, causing frequency fluctuation vulnerability. Following the rapid increase in electric vehicle (EV) sales, an EV fleet can contribute to an automatic frequency reserve service in balancing markets through an EV aggregator. However, the benefits of an EV aggregator directly depend on the energy availability of each EV in an aggregator, represented by the state-of-charge (SoC). In the wider literature, SoC estimation is conventionally calculated using the ampere-hour (Coulomb counting) method. However, this approach is vulnerable to estimation errors, such as initial SoC and power measurement errors, that can positively or negatively affect aggregator benefits. Although previous studies have examined several ways to maximize aggregator benefits, none has explored the effect of SoC estimation errors on aggregator benefits. Therefore, this study aims to preliminarily explore the influence of SoC estimation errors on aggregator benefits in the frequency containment reserve (FCR) market. The regulatory framework and the FCR market are modeled in the European context. The simulation results demonstrate that SoC estimation errors affected the FCR provision period and forced charging activation, resulting in positive and negative changes in EV aggregator revenues.en
dc.description.versionPeer revieweden
dc.identifier.citationJamroen , C , Rerkpreedapong , D , Dechanupaprittha , S & Astero , P 2023 , The Influence of State-of-Charge Estimation Errors on Electric Vehicle Aggregator Benefits in Frequency Containment Reserves . in EUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings . IEEE , pp. 478-483 , International Conference on Smart Technologies , Torino , Italy , 06/07/2023 .
dc.identifier.otherPURE UUID: 7398fce6-37c0-4a3e-a4de-b1282f0d2b6ben_US
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dc.relation.ispartofInternational Conference on Smart Technologiesen
dc.relation.ispartofseriesProceedings of the IEEE EUROCON 2023 Conference on Smart Technologiesen
dc.subject.keywordEstimation erroren_US
dc.subject.keywordElectric vehiclesen_US
dc.subject.keywordPower measurementen_US
dc.subject.keywordRenewable energy sourcesen_US
dc.titleThe Influence of State-of-Charge Estimation Errors on Electric Vehicle Aggregator Benefits in Frequency Containment Reservesen
dc.typeConference article in proceedingsfi