DocumentCode
507902
Title
Optimization Dispatch of Air Conditioner Loads Using Ant Colony Algorithm
Author
Ming, Li ; Zhao Qing-qi ; Hua-guang, Zhang
Author_Institution
Dept. of Autom. & Meas., Ocean Univ. of China, Qingdao, China
Volume
3
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
56
Lastpage
60
Abstract
In order to reduce the peak load demand in power grid, an optimal air conditioner load control strategy is proposed based on ant colony algorithm (ACA). The scheduling strategy not only shed the required load at each sampling time, but also minimized the power supplying company´s revenue loss. The customer satisfactory and the equipment life are considered in the optimal strategy as constraint. The effectiveness of the proposed approach is verified by the simulation results.
Keywords
air conditioning; load regulation; optimisation; power grids; air conditioner load optimization dispatch; ant colony algorithm; peak load demand; power grid; scheduling strategy; Air safety; Ant colony optimization; Automation; Cities and towns; Dynamic programming; Load flow control; Power supplies; Sampling methods; Switches; Uncertainty; air conditioner load; ant colony algorithm; load control; optimal;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.505
Filename
5363853
Link To Document