Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in an integrated electricity-transportation system

Abstract The interdependences between electric power systems and transportation systems are becoming increasingly tight as the market share of electric vehicles keeps booming. Therefore, improving the operation performance of power system and transportation system as an integrated system becomes a critical issue. This paper investigates the coordination between electric vehicle charging stations and electric vehicles assuming they are managed by non-cooperative stakeholders. The operation strategies of electric vehicle charging stations can be optimized by solving a mixed integer linear optimization model while an integer optimization model offers the optimal operation strategy of electric vehicles considering travel route selections. A method for coordinating electric vehicle charging stations and an electric vehicle aggregator without exchanging or sharing private information is proposed. A marginal price based co-ordination model is used for representing the gameplay between two non-cooperative stakeholders. The proposed formulation uses charging pricing policy as an effective tool to coordinate electric vehicle charging stations and electric vehicles, considering travel route selections of electric vehicles. We propose an iterative algorithm for obtaining the optimal solution of proposed marginal price based co-ordination model. A numerical case is provided to validate the merits of proposed model, as a 78.3% total cost reduction can be achieved by adopting the proposed model, comparing to three intuitive approaches.

[1]  Kexing LAI,et al.  Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources , 2019, Journal of Modern Power Systems and Clean Energy.

[2]  Md. Noor-E-Alam,et al.  A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market , 2018, Applied Energy.

[3]  Ramteen Sioshansi,et al.  Unit commitment under gas-supply uncertainty and gas-price variability , 2017, 2017 IEEE Power & Energy Society General Meeting.

[4]  Zhe Xu,et al.  A Deep Value-network Based Approach for Multi-Driver Order Dispatching , 2019, KDD.

[5]  Yusif Simaan Estimation risk in portfolio selection: the mean variance model versus the mean absolute deviation model , 1997 .

[6]  Ying Lu,et al.  A Stochastic Resource-Planning Scheme for PHEV Charging Station Considering Energy Portfolio Optimization and Price-Responsive Demand , 2018, IEEE Transactions on Industry Applications.

[7]  Fabrizio Noembrini,et al.  Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control , 2012, IEEE Transactions on Smart Grid.

[8]  Kankar Bhattacharya,et al.  Integrating EV Charging Stations as Smart Loads for Demand Response Provisions in Distribution Systems , 2018, IEEE Transactions on Smart Grid.

[9]  Ramteen Sioshansi,et al.  Using Price-Based Signals to Control Plug-in Electric Vehicle Fleet Charging , 2014, IEEE Transactions on Smart Grid.

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

[11]  Yingchen Zhang,et al.  Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach , 2017, Applied Energy.

[12]  Rens Philipsen,et al.  Trading power instead of energy in day-ahead electricity markets , 2019, Applied Energy.

[13]  Ming Li,et al.  Electric Vehicle Route Selection and Charging Navigation Strategy Based on Crowd Sensing , 2017, IEEE Transactions on Industrial Informatics.

[14]  Igor Kuzle,et al.  Value of Flexible Electric Vehicles in Providing Spinning Reserve Services , 2015 .

[15]  Antonio J. Conejo,et al.  Shadow Price-Based Co-Ordination of Natural Gas and Electric Power Systems , 2019, IEEE Transactions on Power Systems.

[16]  Jianzhong Wu,et al.  A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks , 2018, Applied Energy.

[17]  Yongpei Guan,et al.  A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output , 2012 .

[18]  J. Widén,et al.  Quantifying self-consumption of on-site photovoltaic power generation in households with electric vehicle home charging , 2013 .

[19]  Mariz B. Arias,et al.  Prediction of electric vehicle charging-power demand in realistic urban traffic networks , 2017 .

[20]  Tao Jiang,et al.  Flexible operation of active distribution network using integrated smart buildings with heating, ventilation and air-conditioning systems , 2018, Applied Energy.

[21]  Yunfei Mu,et al.  A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles ☆ , 2014 .

[22]  Jun Yang,et al.  A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles , 2016 .

[23]  Wei Tian,et al.  EV Charging Schedule in Coupled Constrained Networks of Transportation and Power System , 2019, IEEE Transactions on Smart Grid.

[24]  Abdellatif Miraoui,et al.  Coordinated scheduling of a gas/electricity/heat supply network considering temporal-spatial electric vehicle demands , 2018, Electric Power Systems Research.

[25]  Shengwei Mei,et al.  Network Equilibrium of Coupled Transportation and Power Distribution Systems , 2018, IEEE Transactions on Smart Grid.

[26]  Yang Wang,et al.  Shadow price based co-ordination methods of microgrids and battery swapping stations , 2019, Applied Energy.

[27]  Xiaobo Dou,et al.  Optimal planning of electric vehicle charging stations comprising multi-types of charging facilities , 2018, Applied Energy.

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

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

[30]  Zhaohao Ding,et al.  A Stochastic Microgrid Operation Scheme to Balance Between System Reliability and Greenhouse Gas Emission , 2015, IEEE Transactions on Industry Applications.

[31]  Zhaohao Ding,et al.  Integrated Stochastic Energy Management for Data Center Microgrid Considering Waste Heat Recovery , 2019, 2018 IEEE Industry Applications Society Annual Meeting (IAS).

[32]  Yuki Kudoh,et al.  Environmental evaluation of introducing electric vehicles using a dynamic traffic-flow model , 2001 .

[33]  Tom Holvoet,et al.  Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market , 2015, IEEE Transactions on Smart Grid.