Optimal energy and reserve scheduling of wind power producers in electricity market considering demand response

摘要

This paper presents a model based on stochastic programming for hourly scheduling of wind power energy and reserve facing uncertainty in electricity markets. Uncertainties regarding the wind availability, balancing energy, and market prices are considered throughout the paper. Demand response resources are considered as an economical option that can cover wind power prediction error in a short term electricity market. The proposed method determines the amount of power that wind power producer should buy from both reserve and demand response resources in order to minimize its costs in the case of uncertainty. Risk aversion is explicitly modeled using the conditional value-at-risk methodology. A realistic numerical case study demonstrates the effectiveness of the proposed approach in maximizing wind power profits.