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

Author:
Gao, Jianwei, Ma, Zeyang, Guo, Fengjia
Source:
Energy 2019 v.178 pp. 723-738
ISSN:
0360-5442
Subject:
Monte Carlo method, algorithms, human behavior, models, operating costs, risk, uncertainty, wind power
Abstract:
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.
Agid:
6430046