Decentralized PEV Power Allocation With Power Distribution and Transportation Constraints

被引：9

作者：

Li, Mushu ^{[1
]}

Gao, Jie ^{[1
]}

Chen, Nan ^{[1
]}

Zhao, Lian ^{[2
]}

Shen, Xuemin ^{[1
]}

机构：

[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada

[2] Ryerson Univ, Dept Elect Comp & Biomed Engn, Toronto, ON M5B 2K3, Canada

来源：

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS | 2020年 / 38卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Power distribution; Resource management; Transportation; Power grids; Reliability; Batteries; Optimization; Electric vehicles; charging management; range anxiety; distributed algorithm; alternating direction multiplier method (ADMM); kernel density estimation; smart grid; ELECTRIC VEHICLES; DEMAND RESPONSE; SMART;

D O I：

10.1109/JSAC.2019.2951989

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：

Plug-in Electric Vehicles (PEVs) keep on penetrating the automobile market. However, uncoordinated PEV charging can impair the reliability of power grid. In this paper, an interesting problem of PEV charging power allocation is investigated, in which both power distribution and transportation constraints are considered. A novel approach for PEV charging management based on optimal power flow (OPF) analysis is proposed to optimize PEV charging energy in a power distribution system. Firstly, spatial and temporal PEV demand scheduling is introduced to maximize PEV charging service capacity while considering the maximum traveling distance of PEVs. Secondly, to ensure the scalability of the OPF analysis, a distributed optimization technique, i.e., proximal Jacobian alternating direction multiplier method, is applied to attain the optimal power allocation in a decentralized manner. The resulting PEV charging service capacity in the power distribution system is improved without violating power distribution and transportation constraints. Furthermore, kernel density estimation method is adopted to identify the PEV range anxiety constraint without the PEV battery information. Simulation results are presented to validate the effectiveness of our approach with high PEV penetration.

引用

页码：229 / 243

页数：15

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