지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.12
- 수록면
- 250 - 256 (7page)
- DOI
- 10.5370/KIEEP.2021.70.4.250
이용수
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초록· 키워드
오류제보하기
Currently, most island regions have independent microgrids composed of distributed power sources, including renewable energy, and there are many restrictions on implementing power generation control individually for these independent microgrids. Therefore, for more efficient power generation control and operation, clustering between island regions with similar load patterns is necessary. In this paper, the load pattern was analyzed for the Korea Electric Power Corporation management island regions, and the clustering method used in the analysis process was explained in detail, and the reliability of clustering was improved by verifying whether the clustering results were valid. In addition, through the results of each clustering, the relationship between new and renewable energy, an independent microgrid, and the island region corresponding to each cluster, is analyzed to propose a power generation control and operation method for each cluster.
목차
Abstract
1. 서론
2. 군집화
3. 도서지역 군집 사례 분석
4. 결론
References
참고문헌 (15)
참고문헌 신청
Eduard BullichMassague, Francisco DiazGonzalez, Monica AraguesPenalba, Francesc GirbauLlistuella, Pol OlivellaRosell, Andreas Sumper, “Microgrid clustering architectures,” Applied Energy, vol 212, pp. 340-361, 2018.
Ye Jun Oh, Yong Kuk Park, Min Goo Lee, Tae Won Kim, “Load Pattern Clustering Approach for P2P Electricity Transaction,” Journal of the Institute of Electronics and Information Engineers, vol. 57 no. 11, pp. 72-81, 2020.
Y.I. Kim, Song JaeJu, HYUKSOO JANG, NAMJUN JEONG, IlKwon Yang, “Customer Clustering Method Using Repeated Smallsized Clustering to improve the Classifying Ability of Typical Daily Load Profile,” The Transactions of the Korean Institute of Electrical Engineers, vol. 58 no.11, pp. 2269-2274, 2009.
Jaehee Kim, Jaehwi Kim, “Comparison of time series clustering methods and application to power consumption pattern clustering,” CSAM (Communications for Statistical Applications and Methods), vol. 27 no.6, pp. 589-602, 2020.
Hye-Kyeom kang, Byeong-Chan Oh, Sung-Yul Kim, “Demand Side Management for Industrial Sector Considering Peak Load Reduction,” The Transactions of the Korean Institute of Electrical Engineers, vol. 70 no.3 pp. 151-156, 2021.
Ye Jun Oh, Yong Kuk Park, Min Goo Lee, Tae Won Kim, “Load Pattern Clustering Approach for P2P Electricity Transaction,” Journal of the Institute of Electronics and Information Engineers, vol. 57 no. 11, pp. 72-81, 2020.
Y.I. Kim, Song JaeJu, HYUKSOO JANG, NAMJUN JEONG, IlKwon Yang, “Customer Clustering Method Using Repeated Smallsized Clustering to improve the Classifying Ability of Typical Daily Load Profile,” The Transactions of the Korean Institute of Electrical Engineers, vol. 58 no.11, pp. 2269-2274, 2009.
Jaehee Kim, Jaehwi Kim, “Comparison of time series clustering methods and application to power consumption pattern clustering,” CSAM (Communications for Statistical Applications and Methods), vol. 27 no.6, pp. 589-602, 2020.
Hye-Kyeom kang, Byeong-Chan Oh, Sung-Yul Kim, “Demand Side Management for Industrial Sector Considering Peak Load Reduction,” The Transactions of the Korean Institute of Electrical Engineers, vol. 70 no.3 pp. 151-156, 2021.
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