Title :
Stochastic Unit Commitment With Uncertain Demand Response
Author :
Qianfan Wang ; Jianhui Wang ; Yongpei Guan
Author_Institution :
Dept. of Ind. & Syst. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
Although demand response (DR) encourages customers to voluntarily schedule electricity consumption based on price signals, the response from the consumer side could be uncertain due to a variety of reasons. In this letter, we study the stochastic unit commitment problem with uncertain demand response to enhance the reliability unit commitment process for independent system operators (ISOs). We use a stochastic representation of DR by scenario, and each scenario corresponds to a price-elastic demand curve. Contingency constraints are considered and in addition, a chance constraint is applied to ensure the loss of load probability (LOLP) lower than a pre-defined risk level. Finally, a sample average approximation (SAA) method is applied to solve the problem.
Keywords :
power consumption; pricing; risk analysis; scheduling; ISO; LOLP; contingency constraints; demand response; independent system operators; loss of load probability; predefined risk level; price signals; price-elastic demand curve; reliability unit commitment; sample average approximation method; stochastic unit commitment problem; uncertain demand response; voluntarily schedule electricity consumption; Approximation methods; Elasticity; Generators; Load management; Numerical models; Stochastic processes; Chance constraint; contingency analysis; demand response; stochastic programming; unit commitment;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2202201