skip to main content


Title: Robust Unit Commitment Considering Uncertain Demand Response

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 e ectiveness of the method. Finally, compared to unit commitment with deterministic price elasticity of demand, the proposed robust model can reducemore » the average Locational Marginal Prices (LMPs) as well as the price volatility.« less
 [1] ;  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Publication Date:
Grant/Contract Number:
AC05-00OR22725; EEC-1041877
Accepted Manuscript
Journal Name:
Electric Power Systems Research
Additional Journal Information:
Journal Volume: 119; Journal Issue: 119; Journal ID: ISSN 0378-7796
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Country of Publication:
United States
29 ENERGY PLANNING, POLICY, AND ECONOMY; Unit commitment; price elasticity; demand response; uncertainty; robust optimization; Locational Marginal Price (LMP)
OSTI Identifier: