Risk Assessment of Distribution Networks Considering the Charging-Discharging Behaviors of Electric Vehicles
Jun Yang,
Wanmeng Hao,
Lei Chen,
Jiejun Chen,
Jing Jin and
Feng Wang
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Jun Yang: School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
Wanmeng Hao: School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
Lei Chen: School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
Jiejun Chen: School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
Jing Jin: State Grid Hubei Electric Power Company, Wuhan 430077, Hubei, China
Feng Wang: Computer School of Wuhan University, Wuhan 430072, Hubei, China
Energies, 2016, vol. 9, issue 7, 1-20
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.
Keywords: electric vehicles; charging or discharging load; vehicle to grid; time-of-use price; probabilistic load flow; risk assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:7:p:560-:d:74226
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