Abstract—At present, the time-sharing electricity price is implemented in China, but the real-time electricity price is the most effective regulatory leverage of foreign home energy management. Due to the home energy management objective function using the real-time electricity price does not consider the importance of household loads, this paper proposes a strategy that defines the importance of household loads. Firstly, two mathematical objective functions of home energy management objective functions which consider/don’t consider the importance of household loads are established respectively. Then a new meta-heuristic algorithm is presented, the new algorithm and Particle Swarm Optimization are used to solve the two best electricity utilization plans of household electricity utilization management mathematical objective functions respectively. The simulation results show that the new meta-heuristic algorithm can save more electricity cost and improve the user's electric comfortable feel compared with the particle swarm optimization.
Index Terms—Real-time electricity price, home energy management objective function, Household load importance, Meta-heuristic algorithm.
Yingping Li, Wei Wang, Hui Cai, and Ying Wang is with the College of Mechanical and Electrical Engineering, China Jiliang University, No.258, Xueyuan Street, Xiasha Advanced Education Park, 310018 Hangzhou, China (Corresponding Author: Hui Cai; e-mail: 787581430@qq.com, wangwei@cjlu.edu.cn, caihui@cjlu.edu.cn, sara.wy@163.com).
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Cite: Yingping Li, Wei Wang, Hui Cai, Jian Chen, and Ying Wang, "The Research of Home Energy Management Strategy Based on a New Meta-Heuristic Algorithm," International Journal of Materials, Mechanics and Manufacturing vol. 6, no. 6, pp. 407-414, 2018.
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