Robust unit commitment considering uncertain demand response

G. Liu, K. Tomsovic

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Although price responsive demand response has been widely accepted as playing an important role in the reliable and economic operation of power system, the real response from demand side can be highly uncertain due to limited understanding of consumers' response to pricing signals. To model the behavior of consumers, the price elasticity of demand has been explored and utilized in both research and real practice. However, the price elasticity of demand is not precisely known and may vary greatly with operating conditions and types of customers. To accommodate the uncertainty of demand response, alternative unit commitment methods robust to the uncertainty of the demand response require investigation. In this paper, a robust unit commitment model to minimize the generalized social cost is proposed for the optimal unit commitment decision taking into account uncertainty of the price elasticity of demand. By optimizing the worst case under proper robust level, the unit commitment solution of the proposed model is robust against all possible realizations of the modeled uncertain demand response. Numerical simulations on the IEEE Reliability Test System show the effectiveness of the method. Compared to unit commitment with deterministic price elasticity of demand, the proposed robust model can reduce the average Locational Marginal Prices (LMPs) as well as the price volatility.

Original languageEnglish
Pages (from-to)126-137
Number of pages12
JournalElectric Power Systems Research
Volume119
DOIs
StatePublished - Feb 2015

Funding

This work was sponsored by the Office of Electricity Delivery & Energy Reliability, U.S. Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program.

Keywords

  • Demand response
  • Locational Marginal Price (LMP)
  • Price elasticity
  • Robust optimization
  • Uncertainty
  • Unit commitment

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