Risk Assessment of Distribution Networks Considering the Charging-Discharging Behaviors of Electric Vehicles

被引：12
|
作者：
Yang, Jun [1 ]
Hao, Wanmeng [1 ]
Chen, Lei [1 ]
Chen, Jiejun [1 ]
Jin, Jing [2 ]
Wang, Feng [3 ]
机构：
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Hubei, Peoples R China
[2] State Grid Hubei Elect Power Co, Wuhan 430077, Hubei, Peoples R China
[3] Wuhan Univ, Comp Sch, Wuhan 430072, Hubei, Peoples R China
来源：
ENERGIES | 2016年 / 9卷 / 07期
基金：
美国国家科学基金会;
关键词：
electric vehicles; charging or discharging load; vehicle to grid; time-of-use price; probabilistic load flow; risk assessment; IMPACT; PRICE;
D O I：
10.3390/en9070560
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Electric vehicles (EVs) have received wide attention due to their higher energy efficiency and lower emissions. However, the random charging and discharging behaviors of substantial numbers of EVs may lead to safety risk problems in a distribution network. Reasonable price incentives can guide EVs through orderly charging and discharging, and further provide a feasible solution to reduce the operational risk of the distribution network. Considering three typical electricity prices, EV charging/discharging load models are built. Then, a Probabilistic Load Flow (PLF) method using cumulants and Gram-Charlier series is proposed to obtain the power flow of the distribution network including massive numbers of EVs. In terms of the risk indexes of node voltage and line flow, the operational risk of the distribution network can be estimated in detail. From the simulations of an IEEE-33 bus system and an IEEE 69-bus system, the demonstrated results show that reasonable charging and discharging prices are conducive to reducing the peak-valley difference, and consequently the risks of the distribution network can be decreased to a certain extent.
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页数：20
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