Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Applicability of Statistical Evaluation to Power Quality Analysis

통계적 방법을 이용한 전력품질 관리방안

  • Cho, Soo-Hwan (Electrical Engineering Department of Korea University) ;
  • Jang, Gil-Soo (Electrical Engineering Department of Korea University) ;
  • Kwon, Sae-Hyuk (Electrical Engineering Department of Korea University) ;
  • Park, Sang-Ho (Korea Electrical Power Research Institute(KEPRI)) ;
  • Jeon, Young-Soo (Korea Electrical Power Research Institute(KEPRI)) ;
  • Kwak, No-Hong (Korea Electrical Power Research Institute(KEPRI))
  • 조수환 (고려대학교 전기전자전파공학부) ;
  • 장길수 (고려대학교 전기전자전파공학부) ;
  • 권세혁 (고려대학교 전기전자전파공학부) ;
  • 박상호 (한국전력연구원) ;
  • 전영수 (한국전력연구원) ;
  • 곽노홍 (한국전력연구원)
  • Published : 2006.07.12
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Abstract

The installations of power quality monitoring system have increased drastically over the past several decades. These systems have been effectively used to monitor, analyze and diagnose the conditions of power system, and furthermore can be used to improve the present asset maintenance policy, scheduled (time-based) method, into the advanced, cost-effective and labor-effective maintenance methods, such as condition-based maintenance, predictive maintenance and reliability centered maintenance. As an approach to this, this paper introduces the statistical methods, three kinds of control charts (Shewhart chart, CUSUM chart and EWMA chart), and discusses the applicability of these methods to recognize the changing trends of power quality indices and to estimate the system's condition, using Matlab.

Keywords