Power station peak shaving energy storage batteries are large-scale centralized energy storage equipment specially configured for thermal power, hydropower and new energy power stations, aiming to solve the peak-valley difference problem of grid power consumption and improve the power supply capacity and operation efficiency of power stations. With the continuous expansion of the power grid scale and the rapid growth of social electricity demand, the peak power consumption gap of the power grid is gradually increasing. Traditional power station peak shaving methods such as unit start-stop and load regulation have problems of slow response speed, high operation cost and large equipment loss, while energy storage battery peak shaving has become an efficient and economical alternative solution.

These batteries feature large capacity, high power output and long-duration energy storage, which can quickly complete energy charging and discharging conversion within tens of seconds. During the low power consumption period at night, the batteries absorb surplus electric energy generated by the power station for storage; during the daytime peak power consumption period, they release stored electric energy to assist the power station in power supply, effectively making up for the power supply gap and reducing the peak shaving pressure of power generation units. For new energy power stations with large-scale wind and solar integration, the batteries can also suppress power generation fluctuation, reduce the abandoned wind and solar rate, and improve the grid-connected consumption capacity of new energy.

Moreover, power station peak shaving energy storage batteries can participate in grid frequency modulation and voltage regulation auxiliary services. They can quickly respond to grid frequency deviation signals, adjust charging and discharging power in real time, and maintain the stability of grid frequency and voltage. Modern peak shaving battery systems are matched with intelligent energy storage management platforms, which can realize automatic scheduling, intelligent early warning and fault diagnosis. While improving the flexible regulation capability of power stations, they reduce the operation and maintenance cost of power grid peak shaving, and play a vital role in building a stable, efficient and low-carbon modern power system.