Impacts of Wind Power Integration on Generation Dispatch in Power Systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lyu, Jae-Kun | - |
dc.contributor.author | Heo, Jae-Haeng | - |
dc.contributor.author | Kim, Mun-Kyeom | - |
dc.contributor.author | Park, Jong-Keun | - |
dc.date.accessioned | 2023-03-07T06:42:33Z | - |
dc.date.available | 2023-03-07T06:42:33Z | - |
dc.date.issued | 2013-05 | - |
dc.identifier.issn | 1975-0102 | - |
dc.identifier.issn | 2093-7423 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61057 | - |
dc.description.abstract | The probabilistic nature of renewable energy, especially wind energy, increases the needs for new forms of planning and operating with electrical power. This paper presents a novel approach for determining the short-term generation schedule for optimal operations of wind energy-integrated power systems. The proposed probabilistic security-constrained optimal power flow (P-SCOPF) considers dispatch, network, and security constraints in pre- and post-contingency states. The method considers two sources of uncertainty: power demand and wind speed. The power demand is assumed to follow a normal distribution, while the correlated wind speed is modeled by the Weibull distribution. A Monte Carlo simulation is used to choose input variables of power demand and wind speed from their probability distribution functions. Then, P-SCOPF can be applied to the input variables. This approach was tested on a modified IEEE 30-bus system with two wind farms. The results show that the proposed approach provides information on power system economics, security, and environmental parameters to enable better decision-making by system operators. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER SINGAPORE PTE LTD | - |
dc.title | Impacts of Wind Power Integration on Generation Dispatch in Power Systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.5370/JEET.2013.8.3.453 | - |
dc.identifier.bibliographicCitation | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.8, no.3, pp 453 - 463 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000318581500008 | - |
dc.identifier.scopusid | 2-s2.0-84877267049 | - |
dc.citation.endPage | 463 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 453 | - |
dc.citation.title | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | - |
dc.citation.volume | 8 | - |
dc.type.docType | Article | - |
dc.publisher.location | 싱가폴 | - |
dc.subject.keywordAuthor | Wind power integration | - |
dc.subject.keywordAuthor | Correlated wind speed | - |
dc.subject.keywordAuthor | Weibull distribution | - |
dc.subject.keywordAuthor | Monte carlo simulation (MCS) | - |
dc.subject.keywordAuthor | Probabilistic security-constrained optimal power flow (P-SCOPF) | - |
dc.subject.keywordPlus | FLOW | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordPlus | SIMULATION | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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