DocumentCode :
456563
Title :
The Development and Implementation of Optimum Load Control Strategy of Air Conditioner Based High Voltage Customers
Author :
Cho, Ming Yuan ; Lee, Tsair Fwu ; Kau, Shih Wei ; Chen, Chien Nan
Author_Institution :
Energy Technol. Res. Center, Nat. Kaohsiung Univ. of Appl. Sci.
Volume :
1
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
10
Lastpage :
13
Abstract :
This paper applies optimization mathematical techniques of dynamic programming (DP) algorithm to solve the daily optimal air conditioner loads (ACL) control schedule. The regular control mode, which supports three control skills of demand control, cycling control and timer control to assist customer to save the electrical fee. The optimum load control (OLC) scheme which supports any combinations of these three control skills to optimally save the customer´s electric fee in the dispatch period. Besides, in order to carry out the proposed strategies, the techniques of microprocessor hardware are applied in this paper. Visual C++ language is adopted as the developing tool to carry out the proposed work. The field test of controlling the air conditioner located in the campus is tested on-site to demonstrate the effectiveness of the proposed load controller
Keywords :
C++ language; air conditioning; costing; dynamic programming; load regulation; optimal control; power consumption; power engineering computing; Visual C++ language; air conditioner load control schedule; customer electric fee; cycling control; demand control; dispatch period; dynamic programming; high voltage customer; mathematical technique; microprocessor hardware; optimization; optimum load control; regular control mode; timer control; Control systems; Dynamic programming; Energy consumption; Heuristic algorithms; Load flow control; Mathematical model; Microprocessors; Optimal control; Scheduling algorithm; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.166
Filename :
1691729
Link To Document :
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