A unit commitment study of the application of energy storage toward the integration of renewable generation

To examine the potential benefits of energy storage in the electric grid, a generalized unit commitment model of thermal generating units and energy storage facilities is developed. Three different storage scenarios were tested—two without limits to total storage assignment and one with a constrained maximum storage portfolio. Given a generation fleet based on the City of Austin’s renewable energy deployment plans, results from the unlimited energy storage deployment scenarios studied show that if capital costs are ignored, large quantities of seasonal storage are preferred. This operational approach enables storage of plentiful wind generation during winter months that can then be dispatched during high cost peak periods in the summer. These two scenarios yielded $70 million and $94 million in yearly operational cost savings but would cost hundreds of billions to implement. Conversely, yearly cost reductions of $40 million can be achieved with one compressed air energy storage facility and a small set of...

[1]  Ning Lu,et al.  Pumped-storage hydro-turbine bidding strategies in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

[2]  C. V. Kooten Working with Paper , 2019 .

[3]  Jay Apt,et al.  Economics of compressed air energy storage to integrate wind power: A case study in ERCOT , 2011 .

[4]  Brian Elmegaard,et al.  Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices , 2009 .

[5]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[6]  Ross Baldick,et al.  The generalized unit commitment problem , 1995 .

[7]  Tony Markel,et al.  PHEV Energy Storage Performance/Life/Cost Trade-Off Analysis (Presentation) , 2008 .

[8]  J.P. Barton,et al.  Energy storage and its use with intermittent renewable energy , 2004, IEEE Transactions on Energy Conversion.

[9]  Nate Blair,et al.  Modeling the Benefits of Storage Technologies to Wind Power , 2008 .

[10]  S. M. Shahidehpour,et al.  Effects of ramp-rate limits on unit commitment and economic dispatch , 1993 .

[11]  N.P. Padhy,et al.  Unit commitment-a bibliographical survey , 2004, IEEE Transactions on Power Systems.

[12]  Michael E. Webber,et al.  A framework and methodology for reporting geographically and temporally resolved solar data: A case study of Texas , 2010 .

[13]  P. Denholm,et al.  Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects , 2009 .

[14]  Jeffery B. Greenblatt,et al.  Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation , 2007 .

[15]  J. Iannucci,et al.  Energy Storage Benefits and Market Analysis Handbook A Study for the DOE Energy Storage Systems Program , 2004 .

[16]  Aidan Tuohy,et al.  Pumped storage in systems with very high wind penetration , 2011 .

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

[18]  M. O'Malley,et al.  Unit Commitment for Systems With Significant Wind Penetration , 2009, IEEE Transactions on Power Systems.