한국의 지능형 전력동시부하율 저감시스템에 관한 연구
A Study on Simultaneous Load Factor of Intelligent Electric Power Reduction System in Korea
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초록
This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user’s interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.
Abstract
This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user’s interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.
참고문헌 (10)
- Afgan Naim H., "Multi-criteria assessment aof new and renewable energy power plants", Energy, 27, pp.739~755 (2002)
- Cha, W. C., "사용자 인터페이스의 인지공학적 평가 모델에 관한 연구", IE Conference (2001)
- Christopher, L. Dailey, "Power Sharing System including Rechargeable Power Source, US Patent No. 06680547", ~ (2004)
- Harald Schweigert, "Device for Covering Peak Load, US Patent No. 7388364", US Patent No. 7388364, ~ (2008)
- Kahneman, D, "Attention and effort" (1973), Prentice-Hall
- Omer AM., "Overview of renewable energy sources in the Republic of the Sudan", Energy, 27, pp.523~547 (2002)
- Park, J. J., "자원 평가를 위한 웹기반 전력 수요관리 평가 시스템, 대한민국특허 10-0739123", ~ (2007)
- Surekha Dudhani, "Renewable energy sources for peak load demand management in India", Electrical Power and Energy Systems, 28, pp.396~400 (2006)
- Tuner, J. H., "Energy Management System and Methodology, PTC", US2003, pp.2007, ~
- Yogendra Prasad, "Conventional sources of energy-need for sustained emphasis on hydro electricity development", India Power, 8(2), pp.4~8 (2000)