Abstract—To combine the PV generation and household appliances and realize the energy management for the whole resident, a smart home energy management system (HEMS) which contributes to both the utility grid in load shifting and the customers in cutting electricity bill is proposed. A household appliances network on the base of ZigBee technology is designed to realize remote control and monitoring as well as electricity consumption information gathering. In this system, home appliances are divided into two types based on their operation feature and a mathematic model of resident energy consumption is built, dividing the time of a day into 480 time slots. Combined with varying electricity price in Shanghai as well as the real-time power supply from the PV system, the optimal schedule of appliances operation can be figured out taking situations both with and without a storage battery into consideration. A simulation is carried out in MATLAB environment and the result shows a good performance and a considerable economic benefit in different situations.
Index Terms—Appliances scheduling, distributed PV generation, electricity consumption information gathering, home energy management system (HEMS).
Jinfeng Li, Xiaozhuo Xu, and Liang Wang are with Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: lijinfengdanny@163.com).
Kai Jiang is with the Shanghai Municipal Electric Power Company, Shinan Supply Company, Shanghai 200110, China (e-mail: jimmy_kate@sina.com).
Zhixin Wang is with the Dept. of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; he is also with the Jiaxing Renewable Power Electrical Co., Ltd., Jiaxing, Zhejinag 314031, China (e-mail: wangzxin@sjtu.edu.cn).
Chao Zhang is with Shanghai Naijie Electric Unit Ltd., China.
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Cite:Jinfeng Li, Kai Jiang, Zhixin Wang, Xiaozhuo Xu, Liang Wang, and Chao Zhang, "Research for Control Strategy of Smart Home Energy Management System with Distributed Photovoltaic Generation and Application Practice," Journal of Clean Energy Technologies vol. 4, no. 6, pp. 396-400, 2016.
