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The Development of Intelligent Direct Load Control System
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 Title & Authors
The Development of Intelligent Direct Load Control System
Choi, Sang Yule;
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 Abstract
The electric utility has the responsibility of reducing the impact of peaks on electricity demand and related costs. Therefore, they have introduced Direct Load Control System (DLCS) to automate the external control of shedding customer load that it controls. Since the number of customer load participating in the DLC program are keep increasing, DLCS operators a re facing difficulty in monitoring and controlling customer load. The existing DLCS needs constant operator intervention, e.g., whenever the load is about to exceed a predefined amount, it needs operator`s intervention to control the on/off status of the load. Therefore, DLCS operators need the state-of-the-art DLCS, which can control automatically the on/off status of the customer load without intervention as much as possible. This paper presents an intelligent DLCS using the active database. The proposed DLCS is applying the active database to DLCS which can avoid operator`s intervention as much as possible. To demonstrate the validity of the proposed system, variable production rules and intelligent demand controller are presented.
 Keywords
Direct load control;Production rule;Active database;Intelligent direct load controller;
 Language
English
 Cited by
 References
1.
E. Baralis, S. Ceri, and S. Paraboshi, "Compile-Time and Runtime Analysis of Active Behavior. IEEE Trans, on Knowledge and Data Engineering," Vol. 10, No.3, pp. 353-370, 1998. crossref(new window)

2.
C. Cho, J.H. Jeon, J.Y. Kim, S. Kwon, K. Park, and S. Kim, "Active synchronizing control a microgrid," IEEE Trans., Power Electron, Vol. 26, No. 12, pp. 3707-3719, 2011. crossref(new window)

3.
R.Chandra, A. Segev, "Active database for financial application," In Proceedings of the Fourth International Workshop on Research Issues in Data Engineering, pp.264-273, 1994.

4.
S.Y. Choi, "Power Distribution Automation System Using Information Technology Based Web Active Database," Lecture notes in Computer Science 3984, pp. 354-364, 2006.

5.
J.Kang, A. Kim, "Shortening Matching Time in OPS5 Production Systems. IEEE Trans. Software Engineering," Vol. 30, No. 7, pp. 448-457. 2004. crossref(new window)

6.
K.J. Lin, C.S. Peng, T. Ng, "An active real-time database model for air traffic control systems," In Proceedings of the Second International Workshop on Active, Real-Time, and Temporal Database Systems, Como, Italy, pp.73-97. 1997.