Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimal Placement of Measurements using Genetic Algorithms for Harmonic State Estimation

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  • Chung, H.H. (School of Electrical, Electronics & Computer Engineering, Dong-a University) ;
  • Wang, Y.P. (School of Electrical, Electronics & Computer Engineering, Dong-a University) ;
  • Lee, J.P. (School of Electrical, Electronics & Computer Engineering, Dong-a University) ;
  • Park, H.C. (School of Electrical, Electronics & Computer Engineering, Dong-a University)
  • 정형환 (동아대학교 전기전자컴퓨터 공학부) ;
  • 왕용필 (동아대학교 전기전자컴퓨터 공학부) ;
  • 이정필 (동아대학교 전기전자컴퓨터 공학부) ;
  • 박희철 (동아대학교 전기전자컴퓨터 공학부)
  • Published : 2002.07.10
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Abstract

The design of a measurement system to perform Harmonic State Estimation (HSE) is a very complex problem. In particular, the number of available harmonic instruments(Continuous Harmonic Analysis in Real Time : CHART) is always limited. Therefore, a systematic procedure is needed to design the optimal placement of measurement points. This paper presents a new HSE algorithm which is based on an optimal placement of measurement points using Genetic Algorithms (GAs). This HSE has been applied to the New Zealand AC Power System for the validation of the new HSE algorithm. The study results have indicated an economical and effective method for optimal placement of measurement points using GAs in the HSE.

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