Abstract: In response to the problem that the existing control strategies for combined frequency regulation systems of thermal power units and energy storage (referred to as "thermal power-energy storage" hereinafter) are difficult to adapt to the randomness and multi-time-scale characteristics of the automatic generation control(AGC) instructions of the power grid, a coordinated optimization method for combined thermal power-energy storage frequency regulation based on adaptive fuzzy control theory is designed. This method collects real-time operational parameters, including unit AGC commands, real-time load, main steam pressure, and energy storage's state of charge (SOC). A fuzzy controller is employed to calculate the boundary conditions for the unit’s variable load rate. Based on the energy storage SOC, the real-time output power and output priority sequence of the energy storage unit are determined, forming a dual-mode coordinated response architecture for thermal power and energy storage. This approach ensures the accuracy of single frequency regulation power tracking and maintains the stability of the energy storage SOC, guaranteeing the system’s long-term tracking capability for AGC commands. Simulations based on actual data from a 1 000 MW unit demonstrate that the proposed strategy improves the comprehensive performance indicator k-value by 2.32 times, increases frequency regulation revenue by 1 621.56 CNY, and maintains the energy storage SOC within a safe threshold range over a 12-hour control cycle, effectively addressing the challenge of long-term-scale coordinated control in combined thermal power-energy storage frequency regulation systems.

Key words: adaptive fuzzy control, automatic generation control(AGC), thermal power-energy storage combined frequency regulation