The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)
- Volume 57 Issue 11
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- Pages.2080-2085
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- 2008
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- 1975-8359(pISSN)
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- 2287-4364(eISSN)
A Study on Improvement Method for Statistical Process and Quality of Electric Demand Load Profile
실시간 전력 검침 정보의 시계열정보 통계처리 성능 및 데이터 품질 향상 방안 설계
- Published : 2008.11.01
Abstract
KEPCO's AMR (Automatic Meter Reading) is a system that performs the real-time inspection and management of the 15-minute load profile of electric power consumption through a wired and/or wireless network such as CDMA. It has been utilized widely for real-time collection and data analysis. So far, KEPCO has focused on establishing wireless networks using CDMA and collecting data in real time but failed to consider sufficiently performances that can improve the quality of the original data required in terms of data utilization as well as establish the summary information. In this paper, we are going to show the functions that improve data quality by recording the final renewal time of any erroneous data and maintaining such data lists to use them in the rebuilding of summary information. The goals are to reduce any load applied mainly on the DBMS (Database Management System) of AMR, to enable the real-time performance of establishment in the summary information, and to obtain high-quality inspection data. The performance evaluation result has revealed a 10-fold improvement compared to the traditional disk-based DBMS system when the summary information is established.