Distributed energy storage system control for optimal adoption of electric vehicles

In recent years, automotive manufactures have introduced plug-in electric vehicles (PEV) into the automotive market. This market is expected to expand rapidly in the near future. Depending on the charging rates and charging times of PEVs, distribution networks can face significant stress. In this paper, distributed energy storage (DES) systems are proposed to improve the flexibility of residential distribution networks to support PEV adoption. Operating these DES systems optimally not only facilities PEV adoption but also reduces operating costs by taking advantage of the real-time energy market to profit from charging and discharging the DES units. This paper presents a Discrete Ascent Optimal Programming algorithm for optimizing energy market participation.

[1]  J. Nazarko,et al.  Estimating Substation Peaks from Load Research Data , 1997, IEEE Power Engineering Review.

[2]  Stanton W. Hadley,et al.  Impact of Plug-in Hybrid Vehicles on the Electric Grid , 2006 .

[3]  Ali Nourai.  “Distributed Bulk Storage!“: The future of batteries in grid applications , 2011, 2011 IEEE Power and Energy Society General Meeting.

[4]  H. T. Mouftah,et al.  Communication-based Plug-In Hybrid Electrical Vehicle load management in the smart grid , 2011, 2011 IEEE Symposium on Computers and Communications (ISCC).

[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]  E. Sortomme,et al.  Optimal Power Flow for a System of Microgrids with Controllable Loads and Battery Storage , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[7]  Sandia Report,et al.  Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide A Study for the DOE Energy Storage Systems Program , 2010 .

[8]  Giri Venkataramanan,et al.  The role of plug-in hybrid electric vehicles in demand response and beyond , 2010, IEEE PES T&D 2010.

[9]  Saifur Rahman,et al.  Challenges of PHEV penetration to the residential distribution network , 2009, 2009 IEEE Power & Energy Society General Meeting.

[10]  Saifur Rahman,et al.  Impact of TOU rates on distribution load shapes in a smart grid with PHEV penetration , 2010, IEEE PES T&D 2010.

[11]  R. Broadwater,et al.  Minimum loss optimization in distribution systems: discrete ascent optimal programming , 1996 .

[12]  I. Drezga,et al.  A heuristic nonlinear constructive method for distribution system reconfiguration , 1999 .

[13]  C. Camus,et al.  Impact of Plug-in Hybrid Electric Vehicles in the Portuguese electric utility system , 2009, 2009 International Conference on Power Engineering, Energy and Electrical Drives.

[14]  Seth Blumsack,et al.  Modeling the Impact of Increasing PHEV Loads on the Distribution Infrastructure , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[15]  Mithulananthan Nadarajah,et al.  Influence of distributed generation on congestion and LMP in competitive electricity market , 2009 .

[16]  M. Schulze,et al.  Optimization modeling in energy storage applied to a multi-carrier system , 2010, IEEE PES General Meeting.

[17]  Bangyin Liu,et al.  Optimal Allocation and Economic Analysis of Energy Storage System in Microgrids , 2011, IEEE Transactions on Power Electronics.

[18]  Thomas Basso,et al.  Evaluation of DER adoption in the presence of new load growth and energy storage technologies , 2011, 2011 IEEE Power and Energy Society General Meeting.

[19]  Chet Sandberg,et al.  The Role of Energy Storage in Development of Smart Grids , 2011, Proceedings of the IEEE.

[20]  Mehdi Ferdowsi,et al.  Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile , 2011 .

[21]  Kevin Morrow,et al.  Plug-in Hybrid Electric Vehicle Charging Infrastructure Review , 2008 .

[22]  Ali Nourai,et al.  A vision & strategy for deployment of energy storage in electric utilities , 2010, IEEE PES General Meeting.

[23]  E. Litvinov.  Design and operation of the locational marginal prices-based electricity markets , 2010 .

[24]  G. Venkataramanan,et al.  Optimal Technology Selection and Operation of Commercial-Building Microgrids , 2008, IEEE Transactions on Power Systems.