유전알고리즘을 이용한 정전력부하를 갖는 배전계통 선로의 재구성에 관한 연구

A study on distribution system reconfiguration with constant power load using Genetic algorithms

  • 문경준 (부산대학교 공과대학 전기공학과) ;
  • 김형수 (부산대학교 공과대학 전기공학과) ;
  • 황기현 (부산대학교 공과대학 전기공학과) ;
  • 이화석 (부산대학교 공과대학 전기공학과) ;
  • 박준호 (부산대학교 공과대학 전기공학과)
  • Mun, K.J. (Dept. of Electrical Engineering, Pusan National University) ;
  • Kim, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Hwang, G.H. (Dept. of Electrical Engineering, Pusan National University) ;
  • Lee, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Dept. of Electrical Engineering, Pusan National University)
  • 발행 : 1995.11.18

초록

This paper presents an optimization technique using genetic algorithms(GA) for loss minimization in the distribution network reconfiguration. Determining switch position to be opened for loss minimization in the radial distribution system is a discrete optimization problem. GA is appropriate to solve the multivariable optimization problem and it uses population, not a solution. For this reason, GA is attractive to solve this problem. In this paper, we aimed at finding appropriate open sectionalizing switch position using GA, which can lead to minimum transmission losses.

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