A Joint Frequency Regulation and Peak Shaving Optimization Method for Thermal Power Energy Storage

As large-scale deep peak regulation operation of thermal units increases, their frequency regulation capacity declines significantly, posing a substantial challenge to the safe operation of the power grid frequency. Considering the assessment standards and performance indicators of the State Grid, a joint optimization method for thermal power and energy storage frequency regulation that accounts for deep peak regulation is proposed. This method utilizes residual storage capacity to assist peak shaving while meeting frequency regulation performance. Initially, using an attenuation model of the frequency regulation performance indicators related to deep regulation of thermal units, the capacity for aiding primary frequency regulation with energy storage is forecasted. Subsequently, based on the power generation schedule of the units, the capacity for assisting secondary frequency regulation through rapid load changes is determined. The residual storage capacity is then allocated to peak shaving and valley filling to optimize economic efficiency, ultimately realizing combined frequency regulation and peak shaving in the thermal power-energy storage system. An economic model of the combined thermal power and energy storage frequency regulation system is established for simulation of the proposed optimization algorithm. Simulation results show that in a scenario with a 660 MW thermal unit and a maximum storage output of 40 MW, the proposed algorithm increases the primary frequency regulation qualification rate by 76.7%, the secondary frequency regulation qualification rate by 40%, and the economic benefits of the combined thermal-storage system by 179.3%, compared to traditional methods.