Earticle

초록

영어

Conventional electric-power grids generally have unidirectional power flows from the power plant to the consumers. At small factories, however, the problem is that they inefficiently consume electricity because they consume the electrical power depending on the time of day (e.g., on-peak usually during the day and off-peak usually at night time). In this paper, we try to improve the existing energy management system and propose an energy management system that mainly focuses on the efficiency of electricity consumption. In the proposed management system, PMU (Power Management Unit) installed in switchboard is allowed to collect electric power data in a real time. We also use data mining method, which is applied to analyze the collected data for improving energy efficiency. Also, our proposed energy management system is designed to efficiently control electricity between PMU and management system in case of a shortage of electricity or surplus electricity. Through the experiment, we demonstrate that our proposed system improves the efficiency of electric power of small scale power plant.

목차

Abstract
 1. Introduction
 2. Key Technologies for Proposed Electric Control System
  2.1. Wide-Area Monitoring and Control System
  2.2. Metering Data Management System (MDMS)
  2.3. Clustering based Data Mining Technology
 3. Implementation of Electric Power Management System
  3.1. Network Configuration between PMU and EPMS
  3.2. Electric Power Data Mining
 4. Experiment and Evaluation
 5. Conclusions
 References

키워드

저자

• Changsoo Lee [ Dept. of Computer Science, Soonsil University ]
• Daewon Jung [ R&D Strategy Department, The Attached Institute of ETRI ]
• Keun-Wang Lee [ Dept.of Multimedia Science, Chungwoon University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605