Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Generation of Daily Load Curves for Performance Improvement of Power System Peak-Shaving

전력계통 Peak-Shaving 성능향상을 위한 1일 부하곡선 생성

  • Son, Subin (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Song, Hwachang (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • 손수빈 (서울과학기술대학교 전기정보공학과) ;
  • 송화창 (서울과학기술대학교 전기정보공학과)
  • Received : 2013.09.01
  • Accepted : 2013.11.26
  • Published : 2014.04.25
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Abstract

This paper suggests a way of generating one-day load curves for performance improvement of peak shaving in a power system. This Peak Shaving algorithm is a long-term scheduling algorithm of PMS (Power Management System) for BESS (Battery Energy Storage System). The main purpose of a PMS is to manage the input and output power from battery modules placed in a power system. Generally, when a Peak Shaving algorithm is used, a difference occurs between predict load curves and real load curves. This paper suggests a way of minimizing the difference by making predict load curves that consider weekly normalization and seasonal load characteristics for smooth energy charging and discharging.

본 논문은 Peak Shaving 알고리즘의 성능 향상을 위한 예측 부하 곡선의 생성의 한 방법을 제시한다. 여기서 논하는 Peak Shaving 알고리즘은 대용량의 배터리 에너지 저장시스템 (BESS, Battery Energy Storage System)을 위한 PMS (Power Management System)의 장주기 스케쥴링 알고리즘을 의미한다. 위의 PMS는 주로 배터리에서 에너지의 입출력을 제어하는 데에 주목적이 있다. 이를 위해서 Peak Shaving 알고리즘이 사용되는데, 여기서 예측 부하곡선과 실제 부하곡선 사이의 불확실성이 나타난다. 원활한 에너지의 충,방전을 위하여 본 논문에서는 주 단위의 표준화 방법과 계절별 부하의 특성을 고려한 예측 부하 곡선 생성 방법을 제안한다.

Keywords

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