With the large-scale access of new energy sources, a large amount of uncertain output forces the system"s spare capacity to increase.The traditional model does not adapt to the high-energy peRMeability of new energy sources, and maintaining large-scale rotating standbys for a long time is not in line with the concept of sustainable development. In this paper, considering the characteristics of power generation side and demand side spare resources, a mathematical model of multi-level standby in the market environment is established, and a hybrid optimization method considering multi-level standby is proposed. By decoupling multi-level backup optimization to prevent backup and emergency control, respectively, according to the response time-delay characteristics, the solution is unified and coordinated, and the improvement firefly algorithm is proposed respectively for the disadvantages of the existing multi-level optimization and single-level optimization method. Compared with the existing iterative method, the interval iterative method based on the evaluation of the alternative value improves the computational accuracy and computational efficiency, and is more suitable for the real-time calculation of the standby market. The superiority of the method is verified by an example.