Coordinated Charging of Electric Vehicles for Congestion Prevention in the Distribution Grid

Distributed energy resources (DERs), like electric vehicles (EVs), can offer valuable services to power systems, such as enabling renewable energy to the electricity producer and providing ancillary services to the system operator. However, these new DERs may challenge the distribution grid due to insufficient capacity in peak hours. This paper aims to coordinate the valuable services and operation constraints of three actors: the EV owner, the Fleet operator (FO) and the Distribution system operator (DSO), considering the individual EV owner's driving requirement, the charging cost of EV and thermal limits of cables and transformers in the proposed market framework. Firstly, a theoretical market framework is described. Within this framework, FOs who represent their customer's (EV owners) interests will centrally guarantee the EV owners' driving requirements and procure the energy for their vehicles with lower cost. The congestion problem will be solved by a coordination between DSO and FOs through a distribution grid capacity market scheme. Then, a mathematical formulation of the market scheme is presented. Further, some case studies are shown to illustrate the effectiveness of the proposed solutions.

[1]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

[2]  G. T. Heydt,et al.  The Impact of Electric Vehicle Deployment on Load Management Strategies , 1983, IEEE Power Engineering Review.

[3]  P. M. Rocha Almeida,et al.  Using vehicle-to-grid to maximize the integration of intermittent renewable energy resources in islanded electric grids , 2009, 2009 International Conference on Clean Electrical Power.

[4]  Shi You,et al.  Optimal Charging Schedule of an Electric Vehicle Fleet , 2012 .

[5]  J. Driesen,et al.  The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid , 2010, IEEE Transactions on Power Systems.

[6]  Robert C. Green,et al.  The impact of plug-in hybrid electric vehicles on distribution networks: a review and outlook , 2010, IEEE PES General Meeting.

[7]  C. Binding,et al.  Optimization Methods to Plan the Charging of Electric Vehicle Fleets , 2010 .

[8]  M. Togeby,et al.  Managing congestion in distribution grids - Market design consideration. How heat pumps can deliver flexibility though well-designed markets and virtual power plant technology , 2012 .

[9]  Peter Bach Andersen,et al.  Coordination strategies for distribution grid congestion management in a multi-actor, multi-objective setting , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[10]  Stephen P. Boyd,et al.  Notes on Decomposition Methods , 2008 .

[11]  Carl Binding,et al.  Planning electric-drive vehicle charging under constrained grid conditions , 2010, 2010 International Conference on Power System Technology.

[12]  Stephen P. Boyd,et al.  Subgradient Methods , 2007 .

[13]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[14]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[15]  Olle Sundström,et al.  Flexible Charging Optimization for Electric Vehicles Considering Distribution Grid Constraints , 2012, IEEE Transactions on Smart Grid.

[16]  M. Ilic,et al.  Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets , 2011, IEEE Transactions on Power Systems.

[17]  Jakob Stoustrup,et al.  Congestion management in a smart grid via shadow prices , 2012 .

[18]  Karsten Emil Capion,et al.  Optimal charging of electric drive vehicles in a market environment , 2011 .

[19]  Qiuwei Wu,et al.  Electric Vehicle (EV) charging management with dynamic distribution system tariff , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[20]  Michael Cw Kintner-Meyer,et al.  Using Electric Vehicles to Meet Balancing Requirements Associated with Wind Power , 2011 .

[21]  Sekyung Han,et al.  Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation , 2010, IEEE Transactions on Smart Grid.

[22]  Qiuwei Wu,et al.  Electric Vehicles in Future Market Models , 2013 .

[23]  Filipe Joel Soares,et al.  Integration of Electric Vehicles in the Electric Power System , 2011, Proceedings of the IEEE.

[24]  G. Heydt,et al.  The Impact of Electric Vehicle Deployment on Load Management Straregies , 1983, IEEE Transactions on Power Apparatus and Systems.

[25]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[26]  Rashid A. Waraich,et al.  Predictive, distributed, hierarchical charging control of PHEVs in the distribution system of a large urban area incorporating a multi agent transportation simulation , 2011 .

[27]  Ian A. Hiskens,et al.  Decentralized charging control for large populations of plug-in electric vehicles , 2010, 49th IEEE Conference on Decision and Control (CDC).

[28]  F. J. Soares,et al.  Identifying management procedures to deal with connection of Electric Vehicles in the grid , 2009, 2009 IEEE Bucharest PowerTech.

[29]  Stephen P. Boyd,et al.  The CVX Users' Guide , 2015 .

[30]  Lei Wang,et al.  Optimal Charge control of Electric Vehicles in Electricity Markets , 2011 .

[31]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .