• DocumentCode
    136012
  • Title

    Potential revenue from electrical energy storage in the Electricity Reliability Council of Texas (ERCOT)

  • Author

    Byrne, Raymond H. ; Silva-Monroy, Cesar A.

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper outlines the calculations required to estimate the maximum potential revenue from participation in arbitrage and regulation in day-ahead markets using linear programming. Then, we use historical Electricity Reliability Council of Texas (ERCOT) data from 2011-2012 to evaluate the maximum potential revenue from a hypothetical 32 MWh, 8 MW system. We investigate the maximum potential revenue from two different scenarios: arbitrage only and arbitrage combined with regulation. Our analysis shows that, with perfect foresight, participation in the regulation market would have produced more than twice the revenue compared to arbitrage in the ERCOT market in 2011 and 2012. Three simple trading strategies that do not rely on perfect knowledge are then compared to the optimization results.
  • Keywords
    energy storage; linear programming; power markets; power system reliability; ERCOT; day-ahead markets; electrical energy storage; electricity reliability council of Texas; linear programming; potential revenue; Automatic generation control; Electric potential; Electricity; Energy storage; Optimization; Reliability; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939886
  • Filename
    6939886