Distributed photovoltaic clustering equivalent modeling method of LSO-GRU-ECM

The invention provides a distributed photovoltaic clustering equivalent modeling method based on LSO-GRU-ECM, and the method comprises the steps: carrying out the clustering of a distributed photovoltaic system through employing an improved K-means algorithm, and constructing an initial clustering equivalent model; determining a dynamic response error between a distributed photovoltaic original model and the initial clustering equivalent model, wherein the original model is obtained by parameters and topology of a photovoltaic system; optimizing hyper-parameters of the gated recurrent neural network by using a lion group optimization algorithm, and inputting the dynamic response error into the gated recurrent neural network for training to obtain an error correction model; and inputting the dynamic response error into the error correction model to obtain a compensation value, and compensating the compensation value to the initial clustering equivalent model to obtain a target clustering equivalent model for a