Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems

The main sources of emission today are from the electric power and transportation sectors. One of the main goals of a cyber-physical energy system (CPES) is the integration of renewable energy sources and gridable vehicles (GVs) to maximize emission reduction. GVs can be used as loads, sources and energy storages in CPES. A large CPES is very complex considering all conventional and green distributed energy resources, dynamic data from sensors, and smart operations (e.g., charging/discharging, control, etc.) from/to the grid to reduce both cost and emission. If large number of GVs are connected to the electric grid randomly, peak load will be very high. The use of conventional thermal power plants will be economically expensive and environmentally unfriendly to sustain the electrified transportation. Intelligent scheduling and control of elements of energy systems have great potential for evolving a sustainable integrated electricity and transportation infrastructure. The maximum utilization of renewable energy sources using GVs for sustainable CPES (minimum cost and emission) is presented in this paper. Three models are described and results of the smart grid model show the highest potential for sustainability.

[1]  Willett Kempton,et al.  Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cell Vehicles as Resources for Distributed Electric Power in California , 2001 .

[2]  M. Weitzman,et al.  Stern Review : The Economics of Climate Change , 2006 .

[3]  Rodney R. White,et al.  Carbon Finance: The Financial Implications of Climate Change , 2007 .

[4]  J. Meisel,et al.  Power System Level Impacts of Plug-In Hybrid Electric Vehicles Using Simulation Data , 2008, 2008 IEEE Energy 2030 Conference.

[5]  W. Nordhaus The "Stern Review" on the Economics of Climate Change , 2006 .

[6]  Ahmed Yousuf Saber,et al.  Intelligent unit commitment with vehicle-to-grid —A cost-emission optimization , 2010 .

[7]  Tony Markel,et al.  Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory , 2007 .

[8]  Ganesh K. Venayagamoorthy,et al.  CARBON REDUCTION POTENTIAL WITH INTELLIGENT CONTROL OF POWER SYSTEMS , 2008 .

[9]  Gustav R. Grob Future Transportation with Smart Grids and Sustainable Energy , 2009 .

[10]  M. O'Malley,et al.  Wind generation, power system operation, and emissions reduction , 2006, IEEE Transactions on Power Systems.

[11]  S. Rahman,et al.  Photovoltaics and demand side management performance analysis at a university building , 1993 .

[12]  U.K. Madawala,et al.  “Living and mobility”- a novel multipurpose in-house grid interface with plug in hybrid BlueAngle , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[13]  Gustav R. Grob,et al.  Future transportation with smart grids & sustainable energy , 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices.

[14]  T.O. Ting,et al.  A novel approach for unit commitment problem via an effective hybrid particle swarm optimization , 2006, IEEE Transactions on Power Systems.

[15]  E. O'Neill-Carrillo,et al.  Sustainable Energy: Balancing the Economic, Environmental and Social Dimensions of Energy , 2008, 2008 IEEE Energy 2030 Conference.

[16]  Thomas H. Bradley,et al.  Design, demonstrations and sustainability impact assessments for plug-in hybrid electric vehicles , 2009 .

[17]  N. Stern The Economics of Climate Change: Implications of Climate Change for Development , 2007 .

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

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

[20]  A. Omer Energy, environment and sustainable development , 2008 .

[21]  Willett Kempton,et al.  Electric-drive vehicles for peak power in Japan , 2000 .

[22]  Kenneth S Kurani,et al.  Estimating the early household market for light-duty hydrogen-fuel-cell vehicles and other “Mobile Energy” innovations in California: A constraints analysis ☆ , 2006 .

[23]  Willett Kempton,et al.  Using fleets of electric-drive vehicles for grid support , 2007 .

[24]  Brett David Williams,et al.  Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: , 2007 .

[25]  Narayana Prasad Padhy,et al.  Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints , 2003 .

[26]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.