An energy storage assessment: Using optimal control strategies to capture multiple services

This paper presents a methodology for evaluating benefits of battery storage for multiple grid applications, including energy arbitrage, balancing service, capacity value, distribution system equipment deferral, and outage mitigation. In the proposed method, at each hour, a look-ahead optimization is first formulated and solved to determine battery base operating point. The minute by minute simulation is then performed to simulate the actual battery operation. This methodology is used to assess energy storage alternatives in Puget Sound Energy System. Different battery storage candidates are simulated for a period of one year to assess different value streams and overall benefits, as part of a financial feasibility evaluation of battery storage projects.

[1]  Di Wu,et al.  Assessment of Energy Storage Alternatives in the Puget Sound Energy System , 2013 .

[2]  J. Apt,et al.  Economics of electric energy storage for energy arbitrage and regulation in New York , 2007 .

[3]  K. C. Divya,et al.  Battery Energy Storage Technology for power systems-An overview , 2009 .

[4]  Fangxing Li,et al.  Probabilistic Model of Payment Cost Minimization Considering Wind Power and Its Uncertainty , 2013, IEEE Transactions on Sustainable Energy.

[5]  Shuai Lu,et al.  The future impact of wind on BPA power system ancillary services , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[6]  Srdjan M. Lukic,et al.  Energy Storage Systems for Transport and Grid Applications , 2010, IEEE Transactions on Industrial Electronics.

[7]  R. Castro,et al.  Evaluation of energy storage devices for renewable energies integration: Application to a Portuguese wind farm , 2008, 2008 5th International Conference on the European Electricity Market.

[8]  B. Dunn,et al.  Electrical Energy Storage for the Grid: A Battery of Choices , 2011, Science.

[9]  Andreas Poullikkas,et al.  Overview of current and future energy storage technologies for electric power applications , 2009 .

[10]  N. Lu,et al.  An evaluation of the NaS battery storage potential for providing regulation service in California , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[11]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .