在“双碳”目标驱动下，风电、光伏等可再生能源装机规模持续增长。然而，高渗透率可再生能源的并网消纳会增加火电机组的调峰调频压力，使系统运行成本和风险增加。相较于传统火电机组，储能、抽水蓄能、虚拟电厂等多类型发电能源调控方式灵活多样，能够为新型电力系统调峰调频提供有力的支撑。因此，提出一种计及多类型发电能源的日前电网调峰调频最优协同策略，通过优化各类能源出力，在保证调频备用的基础上有效减小了净负荷的峰谷差，降低了火电机组的调峰压力。考虑到各类型能源调控特性差异明显，设计了一种分层优化策略。上层考虑多类型发电能源运行约束、弃电率约束，以系统净负荷方差最小为优化目标，协调抽蓄、储能、虚拟电厂等调节资源，减小净负荷曲线峰谷差；下层发挥火电深度调峰能力，在满足调频备用需求的基础上，以火电机组运行成本最小为目标优化火电机组发电计划和调频备用容量。最后，通过省级电网算例进行仿真分析，结果表明所提策略能有效提升系统运行的经济性和稳定性。

Driven by the "dual-carbon" strategic goals, the installed capacity of renewable energy sources, such as wind and solar power, has continued to expand. However, the grid integration and accommodation of high-penetration renewables intensify the peak-shaving and frequency-regulation pressure on conventional thermal power units, thereby increasing the operational costs and risks of the power system. Compared to traditional thermal units, multiple types of generation resources, including energy storage, pumped-storage hydropower, and virtual power plants (VPPs), offer superior flexibility and diverse control methods, providing robust support for peak and frequency regulation in modern power systems. Therefore, this paper proposes an optimal coordination strategy for day-ahead peak shaving and frequency regulation in power systems considering multiple generation resources. By optimizing the output of various resources, this method effectively reduces the peak-to-valley difference of the net load and alleviates the peak-shaving burden on thermal units, while ensuring adequate frequency-regulation reserves. Considering the distinct control characteristics of each resource, a bi-level optimization strategy is designed. The upper-level model, subject to the operational constraints of various generation resources and a permissible curtailment rate, aims to minimize the variance of the net load by coordinating flexible resources such as pumped-storage, battery storage, and VPPs to smooth the net load curve. The lower-level model then leverages the deep peak-shaving capability of thermal units. Subject to satisfying frequency-regulation reserve requirements, it minimizes the operational costs of thermal units by optimizing their generation schedules and reserve capacity allocations. Finally, simulation analyses based on a provincial power grid case study are conducted. The results demonstrate that the proposed strategy can effectively enhance the economic efficiency and stability of the power system's operation.