A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks

With the increasing number of electric vehicles (EVs), the EV fast charging load will significantly affect the voltage quality of electricity distribution networks. On the other hand, EVs have potentials to change the choices of charging locations due to the incentives from the variations of charging prices, which can be considered as a flexible response resource for electricity distribution networks. In this paper, a charging pricing strategy of EV fast charging stations (FCSs) was developed to determine the pricing scheme for the voltage control of electricity distribution networks, which consisted of a simulation model of EV mobility and a double-layer optimization model. Considering the travel characteristics of users, the simulation model of EV mobility was developed to accurately determine the fast charging demand. Taking the total income of FCSs and the users’ response to the pricing scheme into account, the double-layer optimization model was developed to optimize the charging pricing scheme and minimize the total voltage magnitude deviation of distribution networks. A test case was used to verify the proposed strategy. The results show that the spatial distribution of EV fast charging loads was reallocated by the proposed charging pricing scheme. It can also be seen that the proposed strategy can make full use of the response capacity from EVs to improve the voltage profiles without decreasing the income of the FCSs.

[1]  Martin Wietschel,et al.  Grid integration of intermittent renewable energy sources using price-responsive plug-in electric vehicles , 2012 .

[2]  Linni Jian,et al.  High efficient valley-filling strategy for centralized coordinated charging of large-scale electric vehicles , 2017 .

[3]  Moshe Ben-Akiva,et al.  PII: S0965-8564(99)00043-9 , 2000 .

[4]  Matthew Shirk,et al.  Consumer behavioral adaption in EV fast charging through pricing , 2017 .

[5]  Yue Yuan,et al.  Modeling of Load Demand Due to EV Battery Charging in Distribution Systems , 2011, IEEE Transactions on Power Systems.

[6]  Andrea J. Goldsmith,et al.  Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks , 2015, IEEE Transactions on Control of Network Systems.

[7]  Ryuichi Kitamura,et al.  Micro-simulation of daily activity-travel patterns for travel demand forecasting , 2000 .

[8]  Mehdi Etezadi-Amoli,et al.  Rapid-Charge Electric-Vehicle Stations , 2010, IEEE Transactions on Power Delivery.

[9]  Dongmei Liu,et al.  Beijing Residents' Travel Time Survey in Small Samples , 2009 .

[10]  Xiang Cheng,et al.  Electrified Vehicles and the Smart Grid: The ITS Perspective , 2014, IEEE Transactions on Intelligent Transportation Systems.

[11]  Mojtaba Ghasemi,et al.  Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm , 2014 .

[12]  Ottorino Veneri,et al.  Review on plug-in electric vehicle charging architectures integrated with distributed energy sources for sustainable mobility , 2017 .

[13]  P. L. So,et al.  V2G Capacity Estimation Using Dynamic EV Scheduling , 2014, IEEE Transactions on Smart Grid.

[14]  Qiang Yang,et al.  Optimal temporal-spatial PEV charging scheduling in active power distribution networks , 2017 .

[15]  Thomas F. Golob,et al.  A Simultaneous Model of Household Activity Participation and Trip Chain Generation , 1999 .

[16]  Furong Li,et al.  Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates , 2016 .

[17]  Phil Blythe,et al.  An evidence-based approach for investment in rapid-charging infrastructure , 2017 .

[18]  Kyungsik Lee,et al.  Optimal Scheduling for Electric Vehicle Charging under Variable Maximum Charging Power , 2017 .

[19]  Jianhui Wang,et al.  Sustainability SI: Optimal Prices of Electricity at Public Charging Stations for Plug-in Electric Vehicles , 2016 .

[20]  Timothy M. Chan More Algorithms for All-Pairs Shortest Paths in Weighted Graphs , 2010, SIAM J. Comput..

[21]  Lin Cheng,et al.  Mitigating Voltage Problem in Distribution System With Distributed Solar Generation Using Electric Vehicles , 2015, IEEE Transactions on Sustainable Energy.

[22]  Inmaculada Zamora,et al.  Methodology for assessing electric vehicle charging infrastructure business models , 2016 .

[23]  Yu Cheng,et al.  Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling , 2017 .

[24]  Peng Wang,et al.  Nodal Impact Assessment and Alleviation of Moving Electric Vehicle Loads: From Traffic Flow to Power Flow , 2016, IEEE Transactions on Power Systems.

[25]  Yang Yang,et al.  Charging demand for electric vehicle based on stochastic analysis of trip chain , 2016 .

[26]  Paul S. Moses,et al.  Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation , 2011 .

[27]  Thomas H. Bradley,et al.  The Efficacy of Electric Vehicle Time-of-Use Rates in Guiding Plug-in Hybrid Electric Vehicle Charging Behavior , 2012, IEEE Transactions on Smart Grid.

[28]  Zechun Hu,et al.  Coordination of PEVs charging across multiple aggregators , 2014 .

[29]  Mehmet Uzunoglu,et al.  A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account , 2016 .

[30]  Michael Devetsikiotis,et al.  Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees , 2014, IEEE Transactions on Smart Grid.

[31]  Hongcai Zhang,et al.  Pricing mechanisms design for guiding electric vehicle charging to fill load valley , 2016 .

[32]  Ottorino Veneri,et al.  Technologies and Applications for Smart Charging of Electric and Plug-in Hybrid Vehicles , 2017 .

[33]  Hongbin Sun,et al.  Rapid-Charging Navigation of Electric Vehicles Based on Real-Time Power Systems and Traffic Data , 2014, IEEE Transactions on Smart Grid.