Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle
DC Field | Value | Language |
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dc.contributor.author | Lee, Jaehee | - |
dc.contributor.author | Lee, Jinyeong | - |
dc.contributor.author | Wi, Young-Min | - |
dc.contributor.author | Joo, Sung-Kwan | - |
dc.date.accessioned | 2021-09-02T06:50:20Z | - |
dc.date.available | 2021-09-02T06:50:20Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/73280 | - |
dc.description.abstract | Occasionally, wind curtailments may be required to avoid an oversupply when wind power, together with the minimum conventional generation, exceed load. By curtailing wind power, the forecast uncertainty and short-term variations in wind power can be mitigated so that a lower spinning reserve is sufficient to maintain the operational security of a power system. Additionally, the electric vehicle (EV) charging load can relieve the oversupply of wind power generation and avoid uneconomical wind power curtailments. This paper presents a stochastic generation scheduling method to ensure the operation security against wind power variation as well as against forecast uncertainty considering the stochastic EV charging load. In the paper, the short-term variations of wind power that are mitigated by the wind curtailment are investigated, and incorporated into a generation scheduling problem as the mixed-integer program (MIP) forms. Numerical results are also presented in order to demonstrate the effectiveness of the proposed method. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | CONSTRAINED UNIT COMMITMENT | - |
dc.subject | SECURITY | - |
dc.subject | GENERATION | - |
dc.title | Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Joo, Sung-Kwan | - |
dc.identifier.doi | 10.3390/app8091684 | - |
dc.identifier.scopusid | 2-s2.0-85053625686 | - |
dc.identifier.wosid | 000445760200273 | - |
dc.identifier.bibliographicCitation | APPLIED SCIENCES-BASEL, v.8, no.9 | - |
dc.relation.isPartOf | APPLIED SCIENCES-BASEL | - |
dc.citation.title | APPLIED SCIENCES-BASEL | - |
dc.citation.volume | 8 | - |
dc.citation.number | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | CONSTRAINED UNIT COMMITMENT | - |
dc.subject.keywordPlus | SECURITY | - |
dc.subject.keywordPlus | GENERATION | - |
dc.subject.keywordAuthor | wind power | - |
dc.subject.keywordAuthor | wind power curtailment | - |
dc.subject.keywordAuthor | electric vehicle | - |
dc.subject.keywordAuthor | power system uncertainty | - |
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