摘要
Demand response has been intensively studied in recent years. It can motivate customers to change their consumption patterns according to the dynamic(time-varying) electricity price, which is considered to be the most cost-effective and reliable solution for smoothing the demand curve. However, many existing schemes, based on users' demand request in each period, require users to consume their requested electricity exactly, which sometimes causes inconvenience and losses to the utility, because customers cannot always be able to consume the accurate electricity demand due to various personal reasons. In this paper, we tackle this problem in a novel approach. Instead of charging after consumption, we adopt the prepayment mechanism to implement power request. Furthermore, we propose a trading market running by the control center to cope with the users' dynamic demand. It is noteworthy that both users' original demand and trading records are protected against potential adversaries including the curious control center. Through the numerical simulation, we demonstrate that our scheme is highly efficient in both computation and communication.
Demand response has been inten- sively studied in recent years. It can motivate customers to change their consumption pat- terns according to the dynamic （time-varying） electricity price, which is considered to be the most cost-effective and reliable solution for smoothing the demand curve. However, many existing schemes, based on users＇ demand request in each period, require users to con- sume their requested electricity exactly, which sometimes causes inconvenience and losses to the utility, because customers cannot always be able to consume the accurate electricity de- mand due to various personal reasons. In this paper, we tackle this problem in a novel ap- proach. Instead of charging after consumption, we adopt the prepayment mechanism to imple- ment power request. Furthermore, we propose a trading market running by the control center to cope with the users＇ dynamic demand. It is noteworthy that both users＇ original demand and trading records are protected against po- tential adversaries including the curious con- trol center. Through the numerical simulation, we demonstrate that our scheme is highly effi- cient in both computation and communication.
作者
Shaohua Li
Xiang Zhang
Kaiping Xue
Lijie Zhou
Hao Yue
Shaohua Li;Xiang Zhang;Kaiping Xue;Lijie Zhou;Hao Yue(Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, Chin;Science and Technology on Communication Networks Laboratory, Shijiazhuang, Hebei, 050081, China;Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA.)
基金
supported by the National Key Research and Development Plan of China under Grant No.2016YFB0800301
the Fund of Science and Technology on Communication Networks Laboratory under Grant No.KX162600024
Youth Innovation Promotion Association CAS under Grant No.2016394
