Analysis of Capacity Credit of Wind Power and the Influence of Hydrogen Energy Storage

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAgostini, Andrea
dc.contributor.authorJokinen, Ilkka
dc.contributor.authorLehtonen, Matti
dc.contributor.authorCoppo, Massimiliano
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorPower Systems and High Voltage Engineeringen
dc.contributor.organizationAalto University
dc.contributor.organizationUniversity of Padova
dc.date.accessioned2025-11-05T07:16:16Z
dc.date.available2025-11-05T07:16:16Z
dc.date.issued2025
dc.descriptionPublisher Copyright: © 2013 IEEE.
dc.description.abstractWith an increasing share of wind power generation, it is crucial to analyze its availability and effect on the reliability of power systems, to maintain a high level of security of supply. Moreover, since the annual generation can vary greatly, long term analysis is required. Thus, this study examined two independent methods for determining the capacity credit of wind power, considering a long period of 18 years. The first method was a time-period-based capacity credit which only considered wind power generation, and the second one a risk-based method, which analyzed the complete power system and its level of reliability. Moreover, with the risk-based method, the analysis considered different installed capacities for wind power and possible hydrogen storage coupled to the wind power. The results from the time-period-based capacity credit determined, that 8.8% and 3.1% of wind power capacity can be expected the be available with 90% and 98% confidence levels, respectively. In addition, with the risk-based method, the ratio between additional load that a system can supply by including wind power and installed wind capacity, decreased from 14.5% to 4.3% when the wind capacity was increased from 5.68 GW to 30 GW. Moreover, coupling an energy storage to the wind power generation improved its utilization and simultaneously the capacity credit by 2.6-4.6 percentage points. Furthermore, to obtain these results, wind power generation was modeled from 2004 to 2021.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.format.mimetypeapplication/pdf
dc.identifier.citationAgostini, A, Jokinen, I, Lehtonen, M & Coppo, M 2025, 'Analysis of Capacity Credit of Wind Power and the Influence of Hydrogen Energy Storage', IEEE Access, vol. 13, pp. 178905-178915. https://doi.org/10.1109/ACCESS.2025.3620880en
dc.identifier.doi10.1109/ACCESS.2025.3620880
dc.identifier.issn2169-3536
dc.identifier.otherPURE UUID: ecaaca36-a460-441e-9baa-6643a584a716
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/ecaaca36-a460-441e-9baa-6643a584a716
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/199951520/Analysis_of_Capacity_Credit_of_Wind_Power_and_the_Influence_of_Hydrogen_Energy_Storage.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/140552
dc.identifier.urnURN:NBN:fi:aalto-202511058709
dc.language.isoenen
dc.publisherIEEE
dc.relation.fundinginfoThis work was supported by the Academy of Finland as part of the Profi7 Project. The work of Ilkka Jokinen was additionally supported by the Walter Ahlström foundation.
dc.relation.ispartofseriesIEEE Accessen
dc.relation.ispartofseriesVolume 13, pp. 178905-178915en
dc.rightsopenAccessen
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordCapacity credit
dc.subject.keywordeffective load carrying capability
dc.subject.keywordhydrogen storage
dc.subject.keywordpower system reliability
dc.subject.keywordwind power
dc.titleAnalysis of Capacity Credit of Wind Power and the Influence of Hydrogen Energy Storageen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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