Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Guk-Hyun | - |
dc.contributor.author | Ko, Rakkyung | - |
dc.contributor.author | Joo, Sung-Kwan | - |
dc.date.accessioned | 2021-08-31T04:54:03Z | - |
dc.date.available | 2021-08-31T04:54:03Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-04 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/56820 | - |
dc.description.abstract | In the power industry, the deployment of smart grid resources in power systems has become an issue of major interest. The deployment of smart grid resources represents an additional uncertainty in the integrated generation and transmission planning that raises uncertainties in investment-related decision making. This paper presents a new power system planning method for the integration of electric vehicles (EVs) and wind power generators into power systems. An interval-stochastic programming method is used to account for the heterogeneous uncertainties attributable to natural variability and lack of knowledge. The numerical results compare the multiple integration scenarios and verifies the effectiveness of the proposed method in terms of cost distribution and regret cost. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | EXPANSION | - |
dc.subject | OPTIMIZATION | - |
dc.title | Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Joo, Sung-Kwan | - |
dc.identifier.doi | 10.3390/en13071843 | - |
dc.identifier.scopusid | 2-s2.0-85083682110 | - |
dc.identifier.wosid | 000537688400312 | - |
dc.identifier.bibliographicCitation | ENERGIES, v.13, no.7 | - |
dc.relation.isPartOf | ENERGIES | - |
dc.citation.title | ENERGIES | - |
dc.citation.volume | 13 | - |
dc.citation.number | 7 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.subject.keywordPlus | EXPANSION | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordAuthor | smart grid | - |
dc.subject.keywordAuthor | integrated generation and transmission planning | - |
dc.subject.keywordAuthor | interval-stochastic programming | - |
dc.subject.keywordAuthor | wind power | - |
dc.subject.keywordAuthor | electric vehicle | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.