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The influence of demand response on wind-integrated power system considering participation of the demand side

Gao, Jianwei, Ma, Zeyang, Guo, Fengjia
Energy 2019 v.178 pp. 723-738
Monte Carlo method, algorithms, human behavior, models, operating costs, risk, uncertainty, wind power
Demand response (DR) can serve as virtual reserve to cope the impact of wind power on system reliability. This paper describes a new approach to investigating the impact of DR in a wind-integrated power system from the perspective of generation adequacy. First, owing to the uncertainty of human behavior, DR cannot be trusted to provide a sufficient reserve. To characterize the associated uncertainty, we use a value function of prospect theory to depict the risk attitude of the customer. Based on this function, we propose a variant Roth-Erev algorithm to characterize the uncertainty of customer participation and measure the available capacity of DR. Second, we introduce the available capacity of DR into operational constraints and construct a DR scheduling model to reduce system operation costs. Finally, based on the uncertainty characterization of DR and a scheduling model, we extend the traditional assessment procedure using Monte-Carlo simulation and propose a novel procedure to evaluate the impact of DR on generation adequacy. Simulation results show that introducing DR can improve the generation adequacy of a wind-integrated power system. The proposed DR scheduling method reduces the operational cost and improves generation adequacy.