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Energies 2016, 9(7), 560; doi:10.3390/en9070560

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

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
2
State Grid Hubei Electric Power Company, Wuhan 430077, Hubei, China
3
Computer School of Wuhan University, Wuhan 430072, Hubei, China
*
Author to whom correspondence should be addressed.
Academic Editor: Michael Gerard Pecht
Received: 29 May 2016 / Revised: 3 July 2016 / Accepted: 10 July 2016 / Published: 19 July 2016
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Abstract

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. View Full-Text
Keywords: electric vehicles; charging or discharging load; vehicle to grid; time-of-use price; probabilistic load flow; risk assessment electric vehicles; charging or discharging load; vehicle to grid; time-of-use price; probabilistic load flow; risk assessment
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Yang, J.; Hao, W.; Chen, L.; Chen, J.; Jin, J.; Wang, F. Risk Assessment of Distribution Networks Considering the Charging-Discharging Behaviors of Electric Vehicles. Energies 2016, 9, 560.

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