The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Typical Daily Load Profile Generation using Load Profile of Automatic Meter Reading Customer

자동검침 고객의 부하패턴을 이용한 일일 대표 부하패턴 생성

  • 김영일 (한국전력공사 전력연구원) ;
  • 신진호 (한국전력공사 전력연구원) ;
  • 이봉재 (한국전력공사 전력연구원) ;
  • 양일권 (한국전력공사 전력연구원)
  • Published : 2008.09.01
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Abstract

Recently, distribution load analysis using AMR (Automatic Meter Reading) data is researched in electric utilities. Load analysis method based on AMR system generates the typical load profile using load data of AMR customers, estimates the load profile of non-AMR customers, and analyzes the peak load and load profile of the distribution circuits and sectors per every 15 minutes/hour/day/week/month. Typical load profile is generated by the algorithm calculating the average amount of power consumption of each groups having similar load patterns. Traditional customer clustering mechanism uses only contract type code as a key. This mechanism has low accuracy because many customers having same contract code have different load patterns. In this research, We propose a customer clustring mechanism using k-means algorithm with contract type code and AMR data.

Keywords

References

  1. 손학식, 김인수, 박용욱, 임상국, 김재철, "수용가 부하 곡선을 이용한 국제분쟁시 전력사용 행태분석", 대한전 기학회 하계학술대회, pp. 165-167, 2004, 7월
  2. Koo-Hyung Chung, Chan-Joo Lee, Jin-Ho Kim, Don Hur, Balho H. Kim, and Jong-Bae Park, "Development of Customer Oriented Load Management Software for Saving on Utility Bills in the Electricity Market", Journal of Electrical Engineering & Technology, Vol. 2, No. 1, pp. 42-49, 2007 https://doi.org/10.5370/JEET.2007.2.1.042
  3. 하복남, 한용희, 한병성, 이흥호, "배전자동화 투자비대 경제적 효과분석에 관한 연구", 대한전기학회논문지 전력기술부문A, 2003, pp. 407-413, 제52권 7호
  4. Chongqing Kang, Xu Cheng, Qing Xia, Yonghao Huang, and Feng Gao, "Novel approach considering load-relative factors in short-term load forecasting", Electric Power Systems Research, Vol. 70, Issue 2, pp. 99-107, July 2004 https://doi.org/10.1016/j.epsr.2003.11.008
  5. 신진호, 김영일, 송재주, 이봉재, 이정일, "지리정보와 검침데이터를 이용한 배전계통 부하분석모델 개발", 대한전기학회 하계학술대회, pp. 2124-2125, 2006, 7월
  6. G. W. Chang, S. Y. Chu, and H. L. Wang, "A Simplified Forward and Backward Sweep Approach for Distribution System Load Flow Analysis," 2006 International Conference on Power System Technology, pp. 1-5
  7. 윤상윤, 김재철, "수용가 전력 소비 패턴을 고려한 배전용 변압기 과부하 판정기준", 대한전기학회논문지 전력기술부문A, 2004, pp. 513-520, 제53권 9호
  8. Jain A. K. and Dubes R.C., 1988. "Algorithms for Clustering Data," Englewood Cliffs, NJ: Prentice-Hall