Home Energy Management with PSO in Smart Grid

被引：0

作者：

Zhou, Yimin ^{[1
]}

Chen, Yanfeng ^{[1
]}

Xu, Guoqing ^{[2
]}

Zhang, Qi ^{[2
]}

Krundel, Ludovic ^{[3
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China

[2] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China

[3] Univ Loughborough, Dept Elect & Elect Engn, Loughborough LE11 3TU, Leics, England

来源：

2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2014年

关键词：

Domestic Appliances; Particle Swarm Optimization; Load Shifting; Home Energy Management; SIMULATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a real-time optimal appliance usage strategy is proposed based on binary particle swarm algorithm, participated by both energy suppliers and end users. Under the multi end-users and time-of-use electricity prices circumstances, the total electricity bills can be generated with different appliance usage pattern: random, single optimal objective and double optimal objectives, resulting in different load curves. Considering the characteristics of the appliances and living habits, the appliances are classified into three categories. Matlab is used as the simulation tool to perform the experiments to prove that the load shifting, energy saving and energy supply efficiency enhancement can be achieved with multi-objectives with particle swarm optimization.

引用

页码：1666 / 1670

页数：5