Robust Unit Commitment Considering Uncertain Demand Response

Liu, Guodong; Tomsovic, Kevin

doi:10.1016/j.epsr.2014.09.006

Robust Unit Commitment Considering Uncertain Demand Response

Journal Article · Sun Sep 28 00:00:00 EDT 2014 · Electric Power Systems Research

DOI:https://doi.org/10.1016/j.epsr.2014.09.006· OSTI ID:1286761

Liu, Guodong ^[1]; Tomsovic, Kevin ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science

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 reduce the average Locational Marginal Prices (LMPs) as well as the price volatility.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE); USDOE Office of Electricity Delivery and Energy Reliability (OE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1286761

Alternate ID(s):: OSTI ID: 1434800

Journal Information:: Electric Power Systems Research, Journal Name: Electric Power Systems Research Journal Issue: 119 Vol. 119; ISSN 0378-7796

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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29 ENERGY PLANNING, POLICY, AND ECONOMY
Locational Marginal Price (LMP)
Unit commitment
demand response
price elasticity
robust optimization
uncertainty

Robust Unit Commitment Considering Uncertain Demand Response

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