Title :
The empirical study of residential air conditioning load regulation and control in China
Author :
Zhang Suxiang ; Zhang Dong ; Zhao Bingzhen ; Liu Jianming ; Lin Hongyu
Author_Institution :
State Grid Inf. & Telecommun. branch, Beijing, China
Abstract :
In order to give full play to the important role of the smart grid technology in the electrical power demand side management, according to the requirements of the national development and reform commission (NDRC)in China, empirical study for residential air conditioning load regulation and control problem had been completed by State Grid Corporation of China, respectively in four cities such as Beijing, Shanghai, Nanchang, Yinchuan by choosing the part of the household to complete experiment. Electricity visualization and load optimization control strategy were applied to verify reducing electricity load peak-valley difference and analyzing the effect on electricity load as a result of user behavior change. In this paper, the main contents were discussed, which included the user group, incentive program, evaluation index, and data analysis comparison and response benefit evaluation. The empirical results show that the average air conditioner load of residents in Shanghai can reduce 41.03% during the peak hour. The empirical results verify the feasibility of management on load of residential air conditioner, the future implementation of the demand response measures will bring huge economic and environmental benefits for the country, society and consumers.
Keywords :
air conditioning; building management systems; load regulation; optimal control; optimisation; power grids; Beijing; China; Nanchang; National Development and Reform Commission; Shanghai; Yinchuan; data analysis; electrical power demand side management; electricity load peak-valley difference reduction; electricity visualization; evaluation index; incentive program; load optimization control strategy; residential air conditioning load regulation; smart grid technology; user group; Air conditioning; Electricity; Indexes; Load management; Power demand; Power grids; electrical power load regulation and control; load optimization; power consumption visualization; smart power consumption;
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/POWERCON.2014.6993810