Flexible charging and discharging algorithm for electric vehicles in smart grid environment

The ascending increase in the numbers of Plug-in Electric Vehicles (PEVs) in the world brought forward many new challenges to the power grid and utility networks. Some of these challenges are related to finding and managing additional power resources for these PEVs. Green power is one of the alternatives but, we still need to find a cheap way to store this power, PEVs could play a significant role in storing power at a certain time and use it at another time. Never the less, it can play the same role with electric power from grids so it can store power from off peak time to peak time. This role might help the grid to fulfill the growing demands. In this paper, we propose flexible charging and discharging algorithm that effectively addresses and solves the problem of power demand on peak time using the PEV's batteries as a source for backup energy storage. The results show significant enhancement in the power consumption without affecting the performance of electric vehicle.

[1]  Seddik Bacha,et al.  Housing peak shaving algorithm (HPSA) with plug-in hybrid electric vehicles (PHEVs): Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) concepts , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[2]  Sangarapillai Lambotharan,et al.  An optimization framework for home demand side management incorporating electric vehicles , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[3]  Hsiao-Dong Chiang,et al.  Hierarchical K-means Method for Clustering Large-Scale Advanced Metering Infrastructure Data , 2017, IEEE Transactions on Power Delivery.

[4]  Cishen Zhang,et al.  Optimal Coordination of G2V and V2G to Support Power Grids With High Penetration of Renewable Energy , 2015, IEEE Transactions on Transportation Electrification.

[5]  Damian Flynn,et al.  Local Versus Centralized Charging Strategies for Electric Vehicles in Low Voltage Distribution Systems , 2012, IEEE Transactions on Smart Grid.

[6]  Shing-Chow Chan,et al.  Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing , 2012, IEEE Transactions on Smart Grid.

[7]  Bowen Zhou,et al.  The Impact of Vehicle-to-Grid on Electric Power Systems: A Review , 2013 .

[8]  Petr Kadurek,et al.  Electric Vehicles and their impact to the electric grid in isolated systems , 2009, 2009 International Conference on Power Engineering, Energy and Electrical Drives.

[9]  K. Mizui,et al.  Vehicle-to-vehicle communication and location system using spread spectrum technique , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[10]  D. Shutin,et al.  Delay-Dependent Doppler Probability Density Functions for Vehicle-to-Vehicle Scatter Channels , 2014, IEEE Transactions on Antennas and Propagation.

[11]  Martin Winter,et al.  Interconnections and Communications of Electric Vehicles and Smart Grids , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[12]  C. Y. Chung,et al.  Reliability Evaluation of Distribution Systems Including Vehicle-to-Home and Vehicle-to-Grid , 2016, IEEE Transactions on Power Systems.

[13]  Shuang Gao,et al.  Opportunities and Challenges of Vehicle-to-Home, Vehicle-to-Vehicle, and Vehicle-to-Grid Technologies , 2013, Proceedings of the IEEE.

[14]  Long Zhao,et al.  Strategies of residential peak shaving with integration of demand response and V2H , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[15]  H. Zhang,et al.  High power lithium ion microbatteries with lithographically defined 3-D porous electrodes , 2013, 2013 IEEE 26th International Conference on Micro Electro Mechanical Systems (MEMS).

[16]  Shaolei Ren,et al.  Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid , 2013, IEEE Journal on Selected Areas in Communications.

[17]  Martin Maier,et al.  Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances , 2014, IEEE Transactions on Smart Grid.

[18]  Xuemin Shen,et al.  A semi-distributed V2V fast charging strategy based on price control , 2014, 2014 IEEE Global Communications Conference.

[19]  Filipe Joel Soares,et al.  A STOCHASTIC MODEL TO SIMULATE ELECTRIC VEHICLES MOTION AND QUANTIFY THE ENERGY REQUIRED FROM THE GRID , 2011 .

[20]  David Infield,et al.  Investigation of the potential for electric vehicles to support the domestic peak load , 2014, 2014 IEEE International Electric Vehicle Conference (IEVC).

[21]  João P. S. Catalão,et al.  Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR , 2015, IEEE Transactions on Smart Grid.