As the proportion of new energy sources in the grid increases and the structure of the ultra-high-voltage grid becomes more complicated, the variability of the external environment and the complexity of the grid itself bring many new challenges to the power system reserve configuration problem. The multilevel and multitime scale characteristics of the grid reserve are analyzed in this paper, and the reserve is classified according to the response time characteristics combined with the system function. We establish a demand-side response participation system reserve configuration optimization model, including synchronous generator generation and reserve models, demand-side scheduling and reserve models, grid power generation planning and reserve optimization mathematical models. Based on the idea of decomposition coordination, the current power generation plan and reserve optimization problem are decomposed into a finite fault state safety constraint unit combination subproblem, Monte Carlo secondary negative reserve constraint check subproblem, frequency safety constraint checking subproblem based on large-disturbance long-process time domain simulation analysis, and fault state static safety constraint check subproblem based on minimum load shedding. Considering the demand side response to the reserve configuration of the system, combined with the problem of previous unit association, the optimal allocation of the reserve coal consumption units is realized by determining the start and stop status of the unit and the unit output.

Background: With respect to the problem of wind power and photovoltaic (PV) gridconnected accommodation, a power system optimization dispatching method is proposed that introduces a concentrating solar power (CSP) station to promote wind power and PV accommodation, considering the dispatch-ability of the thermal storage system (TSS) and the accommodation capacity of the electric heating device (EHD) in the CSP station. Methods: The method analyzes an internal simplified model of a CSP station and a short-timescale identification method of wind and PV power ramping events based on a CSP-Wind-PV system structure. Furthermore, the operating characteristics and constraints of various units are considered with the goal of the lowest comprehensive system cost to establish a CSP-Wind-PV optimization model for dispatching power system. Results: The method is simulated and verified on the IEEE-RTS24 node system by using the MATLAB optimization toolbox. Conclusion: The results demonstrate that the participation of a CSP station can decrease the number of power ramping events and reduce the curtailment of wind and PV power while ensuring the economical operation of the power system.