Abstract: Large-scale grid-connection of new energy represented by wind power threatens the stable operation of traditional power system， and it also has new requirements on the allocation of reserve capacity. Under the background of new power reform and energy demand-side reform， more and more attention has been paid to user-side demand-response resources in reserve capacity allocation by virtue of their flexibility and operability. Therefore， this paper proposes a two-stage robust optimization model with minimum scheduling cost and reserve cost as the objective function from the perspective of price and incentive-based demand response participating in spare capacity optimization. C&CG algorithm is used to decompose it into the main problem of optimal allocation of day-ahead reserve capacity and the sub-problem of real-time reserve power allocation considering the uncertainty of wind power. AD algorithm is used to calculate the sub-problem and find the “worst point” to improve the solving efficiency. The results of numerical examples verify the validity and correctness of the model. It has shown that demand response as a flexible regulation resource can effectively promote the absorption of wind power and reduce the cost of system scheduling and standby.

Key words: demand response(DR), two-stage robust optimization, reserve capacity, uncertainty