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

The Korean Institute of Electrical Engineers (대한전기학회)
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Spatio-temporal Load Analysis Model for Power Facilities using Meter Reading Data

검침데이터를 이용한 전력설비 시공간 부하분석모델

  • 신진호 (한국전력공사 전력연구원) ;
  • 김영일 (한국전력공사 전력연구원) ;
  • 이봉재 (한국전력공사 전력연구원) ;
  • 양일권 (한국전력공사 전력연구원) ;
  • 류근호 (충북대학교 전기전자 컴퓨터공학부)
  • Published : 2008.11.01
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Abstract

The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance. This paper presents a new model to analyze wherein facilities load under a feeder every 15 minutes using meter reading data that can be obtained from a power consumer every 15 minute or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying clustering and classification algorithm of temporal data mining techniques for the power customer who is not involved in Automatic Meter Reading(AMR), a single-line diagram per feeder is created, and power flow calculation is executed. The calculation result is analyzed using various temporal and spatial analysis methods such as Internet Geographic Information System(GIS), single-line diagram, and Online Analytical Processing (OLAP).

Keywords

References

  1. 한국전력공사 전력연구원, '최적 배전계획 수립을 위한 전산시스템 개발 및 적용연구' 최종보고서, 2000
  2. 한국전력공사 전력연구원, '배전용 변압기 최적 부하관리 방안 연구' 최종보고서, 2003
  3. Pang-ning Tan et aI, 'Introduction to Data Mining 2nd, publisher Pearson addison wesley, 2006
  4. Vera Figueiredo, 'An Electric Energy Consumer Characterization Framework based on Data Mining Techniques, IEEE Trans. on power systems, Vol 20, No. 2, pp. 596-602, May 2005 https://doi.org/10.1109/TPWRS.2005.846234
  5. Alejandro Ugedo, 'Decision Trees Applied to the Management of Voltage Constraints in the Spanish Market', IEEE Trans. on power systems, Vol 20, No.2, pp. 963-972, May 2005 https://doi.org/10.1109/TPWRS.2005.846085
  6. Pitt B and Kirchen D., 'Applications of Data Mining Techniques to Load Profiling,' In Proc. IEEE PICA, pp. 131-136, 1999
  7. Jian Lu, 'Power Flow Analysis on Simplified Feeder Modeling', IEEE Transactions on Power Delivery, Vol 19, pp. 279-287, 2004 https://doi.org/10.1109/TPWRD.2003.820179
  8. David Taniar, 'Research and Trends in Data Mining Technologies and Applications', IDEA Group Publishing, 2007