Dynamic Pricing Based and Electric Vehicle Assisted Demand Response Strategy

被引：0
|
作者：
Luo, Xing [1 ,2 ]
Zhu, Xu [1 ,3 ]
Lim, Eng Gee [2 ]
机构：
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool, Merseyside, England
[2] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou, Peoples R China
[3] Harbin Inst Technol Shenzhen, Sch Elect & Informat Engn, Shenzhen, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM) | 2017年
关键词：
DISTRIBUTION-SYSTEMS; ALGORITHM; LOAD;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The usage of EVs as energy storage units via vehicle-to-home (V2H) provides an effective solution to load shaping at the end-user premises since it enables householder to alleviate the load burden of power grid and save bills simultaneously. In this paper, an innovative demand response (DR) strategy with an EV auxiliary power supply (EV-APS) model is proposed, to jointly optimize the household appliance scheduling and economic cost based on dynamic pricing (DP). The proposed DR strategy takes account of the comprehensive impacts of EVs charging behaviors, user preferences, distributed generation and load priority. The effectiveness of the proposed DR strategy is verified by numerical results in terms of load balancing and cost reduction. It also significantly outperforms the previous DR approaches.
引用
收藏
页码：357 / 362
页数：6
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