• DocumentCode
    140519
  • Title

    Short term portfolio optimization for load serving entity considering multiple exchanges and ramping constraints

  • Author

    Punjabi, Manish J. ; Awate, Prakash G. ; Gajbhiye, Rajeev ; Soman, S.A. ; Prasad, Krishna V.

  • Author_Institution
    Tata Consultancy Service Ltd., Mumbai, India
  • fYear
    2014
  • fDate
    19-22 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The typical requirement of supply-demand balance in electricity market necessitates for an LSE to incorporate corrective measures in short term. In case of surplus, either few of the contracts may have to be backed down and/or excess power has to be sold in short term market(s). In contrast, deficit scenario has to be managed by procuring additional requirement again from short term market(s). The volatility, and hence risk, associated with prices in such market motivates LSEs to look for an optimal strategy based on portfolio management. While doing so, in addition to conventional approach, one has to comply by regulations as well as factor for technical constraints. In this paper, we model prevention of arbitrage and ramping constraints akin to unit commitment problem.
  • Keywords
    contracts; demand side management; optimisation; power generation dispatch; power generation scheduling; power markets; contracts; electricity market; hence risk; incorporate corrective measures; load serving entity; multiple exchanges; optimal strategy; portfolio management; ramping constraints; short term market; short term portfolio optimization; supply-demand balance; unit commitment problem; volatility; Contracts; Equations; Forecasting; Gain; Mathematical model; Optimization; Portfolios; Electricity Market; Load Serving Entity; Portfolio Optimization; Risk Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2014.6816477
  • Filename
    6816477