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
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