추세분석법에 의한 영역의 장기 수요예측

A Study on Long-Term Spatial Load Forecasting Using Trending Method

  • 황갑주 (울산대 전기전자정보시스템공학부) ;
  • 최수근 (울산대 대학원 전기공학과)
  • 발행 : 2004.11.01

초록

This paper suggests a long-term distribution area load forecasting algorithm which offers basic data for distribution planning of power system. To build forecasting model, 4-level hierarchical spatial structure is introduced: System, Region, Area, and Substation. And, each spatial load can be decided proportional to its portion in the higher level. This paper introduces the horizon year loads to improve the forecasting results. And, this paper also introduces an effective load transfer algorithm to improve forecasting stability in case of new or stopped substations. The proposed model is applied to the load forecasting of KEPCO system composed of 16 regions, 85 areas and 761 substations, and the results are compared with those of econometrics model to verify its validity.

키워드

참고문헌

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  5. 한국전기연구소 보고서, '지구별 수요 및 부하특성 예측기법 개선에 관한 연구', 한국전력공사, 전원계획처, 1998년 6월
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