Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Assessing the accuracy of electric energy monitoring system

전기 에너지 모니터링 시스템의 신뢰성 평가 방안

  • You, Young Hag (Department of Convergence Technology & Management Engineering, Yonsei University Graduate School) ;
  • Leem, Choon Seong (Department of Industrial Engineering, College of Engineering, Yonsei University) ;
  • Choi, Dae Soon (Entoss, Co., Ltd. Research Lab.)
  • 유영학 (연세대학교 대학원 융합기술경영공학과) ;
  • 임춘성 (연세대학교 공과대학 산업공학과) ;
  • 최대순 ((주)엔토스정보통신 부설 연구소)
  • Received : 2018.07.09
  • Accepted : 2018.09.20
  • Published : 2018.09.28
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Abstract

In order to manage energy efficiency by analyzing the amount of energy, it would determine the nature of the factors involved in the energy utilization. Therefore, accurate measurement of the energy consumption data is an important factor in the energy management. In this study, we are aware of the importance of the data measurement, and proposes the accuracy assessment of electric energy monitoring system. According to conventional statistical methods it is proceeded as follows; i)the measurement error value would be determined by a random variable, ii) setting the confidence interval to consider the distribution of the statistic and determines the confidence level of the measurement accuracy. And using the t-distribution CDF is used to facilitate even small sample data.

고도의 경제성장에 지속되고 있는 가운데 에너지를 효과적으로 사용하는 연구와 기술은 꾸준히 개발되고 있으며, 에너지를 효율적으로 관리하기 위해서는 에너지의 사용량을 분석하여 에너지 사용량에 관여한 요인들의 특성을 파악하여야 한다. 따라서 에너지 사용 데이터의 정확한 측정은 에너지 관리측면에서 중요한 요소로 작용한다. 본 연구에서는 데이터 측정의 중요성을 인식하여 전기에너지 모니터링 시스템의 신뢰성 평가방안을 제시한다. 전통적인 통계 기법에 따라 측정오차 값을 확률변수로 하여 통계량으로 정하고, 이 통계량의 분포를 생각하여 임의의 신뢰구간을 적용하고 측정 정확도의 신뢰수준을 결정하는 절차 및 방법을 제시한다. 제안된 절차는 모집단의 평균과 표준편차 정보가 없을 때 그리고 적은 표본자료에도 용이하게 이용될 수 있도록 t-분포의 누적분포함수를 사용하여 에너지 측정장비의 신뢰도를 평가하는 방안을 활용하였다.

Keywords

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