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Fuzzy LP Based Power Network Peak Shaving Algorithm

퍼지 LP 기반 전력망 Peak Shaving 알고리즘

  • Ohn, Sungmin (Department of Electrical and Information Eng., Seoul Nat'l Univ. of Science & Technology) ;
  • Kim, Jung-Su (Department of Electrical and Information Eng., Seoul Nat'l Univ. of Science & Technology) ;
  • Song, Hwachang (Department of Electrical and Information Eng., Seoul Nat'l Univ. of Science & Technology) ;
  • Chang, Byunghoon
  • 온성민 (서울과기대 전기정보공학과) ;
  • 김정수 (서울과기대 전기정보공학과) ;
  • 송화창 (서울과기대 전기정보공학과) ;
  • 장병훈 (한국전력공사 전력연구원)
  • Received : 2012.10.12
  • Accepted : 2012.11.30
  • Published : 2012.12.25

Abstract

This paper describes peak shaving algorithms as long-term cycle scheduling in the power management system (PMS) for MW-scale battery energy storage systems (BESS). The purpose of PMS is basically to manage the input and output power from battery modules placed in the systems. Assuming that an one-day ahead load curve is provided, off-line peak shaving algorithms can be employed, but applying the results of the off-line algorithm may result in the difference in the real-time performance because there is uncertainty in the provided load curve. This paper adopts fuzzy based LP (linear programming) algorithms for describing the peak shaving algorithm in PMS and discusses a solution technique and real-time operation strategies using the solution.

본 논문은 MW 스케일의 배터리 에너지 저장 시스템 (BESS)을 위한 PMS (power management systems)의 장기간 스케쥴링 알고리즘의 하나로서 peak shaving 알고리즘에 대하여 설명한다. PMS의 목적은 기본적으로 배터리 모듈의 AC 입출력을 제어하는 데 있다. 1일전 부하 곡선이 제공된다는 가정 하에서, 오프라인 peak shaving 알고리즘이 적용될 수 있으나, 이 오프라인 알고리즘의 결과를 적용할 경우 부하 곡선에 존재하는 불확실성에 의하여 그 적용 결과가 실시간 운전에서는 다르게 나타날 수 있다. 본 논문에서는 PMS의 peak shaving 문제에서 부하 곡선의 불확실성을 고려하기 위하여 퍼지 LP 문제 형태로 정식화하고 그 해법과 실시간 운전 시 적용 방안에 대하여 논한다.

Keywords

Acknowledgement

Supported by : 한국에너지기술평가원

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