|
| Optimal scheduling of intelligent household electrical appliances based on time-of-use power price |
| DOI：10.7667/PSPC171763 |
| Key Words:time-of-use (TOU) power price intelligent household electrical appliances optimal scheduling genetic algorithm (GA) |
| Author Name | Affiliation | E-mail | | SHI Linjun | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China | eec@hhu.edu.cn | | SHI Jiangfeng | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China | | | YANG Qihang | Jiangsu Xingli Construction Group Co., Ltd, Nanjing 211100, China | | | ZHANG Yong | Taizhou Power Supply Branch, State Grid Jiangsu Electric Power Company, Taizhou 225300, China | | | CHEN Shaobu | Taizhou Power Supply Branch, State Grid Jiangsu Electric Power Company, Taizhou 225300, China | | | WU Feng | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China | |
|
| Hits: 3112 |
| Download times: 1388 |
| Abstract:As a part of the smart grid, it is of great significance to study the optimal scheduling of intelligent household electrical appliances in future household. Firstly, intelligent household electrical appliances mathematical models are established for the future typical household. Then, based on Time-Of-Use (TOU) power price, an optimal scheduling model of intelligent household electrical appliances is proposed, which aims are economy and user comfort. It is convenient for users to make their plans of electricity to meet their own needs. Finally, a typical home user is taken as an example. Through establishing the typical day of simulation scene, the genetic algorithm is used to optimize the scheduling of the intelligent household electrical appliances, and the simulation results show the effectiveness of the established optimal scheduling model. This work is supported by the Natural Science Foundation for the Excellent Youth Scholar of China (No. 51422701). |
| View Full Text View/Add Comment Download reader |
|
|
|