Research on Energy Saving Strategy in Smart Grid Based on Dynamic Electricity Price

被引:0
|
作者
Chang TaiHua [1 ]
Li ChangLin [2 ]
Hu Yang [2 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Beijing 102206, Peoples R China
关键词
dynamic electricity price; customer response models; customer satisfaction index; optimization;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Research on the flexible and interactive price strategy based on demand response is actually a tield of much significance in smart grid. Reasonable time-of-use (IOU) electricity price Can be used as an effective price signal to guide users to consume and to achieve the purpose of cutting peak and filling valley of power grid. Also, real-time pricing (RTP) of electricity, which is the hinge of constructing a highly efficient-electricity market, can promote resources allocation and balance the supply and demand. This paper proposes a new pricing model which combines IOU with RIP mechanism. And on this basis, the customer response model is introduced for analyzing and calculating user satisfaction degree. Next, the optimal price can be obtained via solving the multi-objective programming problem which aims at reducing the cost-of the power supply, decreasing load peak and improving customer satisfaction. Finally, a case simulation is carried out in this paper.
引用
收藏
页码:2794 / 2798
页数:5
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