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Application of Data Processing Technology on Large Clusters to Distribution Automation System

대용량 데이터 처리기술을 배전자동화 시스템에 적용

  • 이성우 (한전 전력연구원 송배전연구소) ;
  • 하복남 (한전 전력연구원 송배전연구소) ;
  • 서인용 (한전 전력연구원 송배전연구소) ;
  • 장문종 (한전 전력연구원 송배전연구소)
  • Received : 2010.08.23
  • Accepted : 2011.01.05
  • Published : 2011.02.01

Abstract

Quantities of data in the DMS (Distribution management system) or SCADA (Supervisory control and data acquisition) system is enormously large as illustrated by the usage of term flooding of data. This enormous quantity of data is transmitted to the status data or event data of the on-site apparatus in real-time. In addition, if GIS (Geographic information system) and AMR (Automatic meter reading), etc are integrated, the quantity of data to be processed in real-time increases unimaginably. Increase in the quantity of data due to addition of system or increase in the on-site facilities cannot be handled through the currently used Single Thread format of data processing technology. However, if Multi Thread technology that utilizes LF-POOL (Leader Follower -POOL) is applied in processing large quantity of data, large quantity of data can be processed in short period of time and the load on the server can be minimized. In this Study, the actual materialization and functions of LF POOL technology are examined.

Keywords

References

  1. 이성우외, "배전지능화 시스템 중앙제어장치 개발" 1단계 최종보고서", 지식경제부, 2008
  2. 이미영, "클라우드 기반 대규모 데이터 처리 및 관리기술", 전자통신동향분석, 한국전자통신연구원, 41-54, 2009.
  3. 문현정외, "대용량 RDF 데이터의 처리 성능 개선을 위한 효율적인 저장 구조 설계 및 구현", 한국전자거래학회지 12(3) 251-268, 2007.
  4. 이성우, "배전지능화시스템 중앙제어장치 개발", 기술세미나, 한국전력공사 전력연구원, 2007.

Cited by

  1. The Development and Empirical Evaluation of the Korean Smart Distribution Management System vol.7, pp.12, 2014, https://doi.org/10.3390/en7031332