Energy storage power station equivalent modeling method based on clustering algorithm and system identification

The invention discloses an energy storage power station equivalent modeling method based on a clustering algorithm and system identification, and the method comprises the following steps: S1, collecting the operation parameters of an energy storage unit in an energy storage power station, and carrying out the preprocessing; s2, performing equivalence by adopting a K-means clustering algorithm, selecting static and dynamic characteristics capable of comprehensively reflecting the energy storage units as grouping indexes, dividing the energy storage units with similar operating points into the same cluster through a K-means method, and integrating equivalent unit data; and S3, performing parameter identification on the equalized unit data to obtain a transfer function of system output power, determining a structure and parameters of the transfer function, and completing modeling. According to the method, the energy storage power station is equivalent to a small number of units, the method can be used for energy