A distributed photovoltaic dynamic cluster collaborative optimization voltage control strategy based on an improved artificial hummingbird algorithm(AHA) is proposed to address issues such as voltage exceeding limits caused by the high penetration rate of distributed photovoltaics connected to the distribution network. Firstly

by considering the voltage sensitivity of each node

electrical distance between nodes

and regional voltage regulation capability

a comprehensive modularity index for cluster performance is defined. Secondly

an improved artificial hummingbird algorithm is used to dynamically divide clusters into different time periods based on the system's operating status

and the dominant nodes of each cluster are selected in descending order according to the sensitivity of the out-of-limit nodes. Finally

simulation verification is conducted based on the IEEE33 node example

with the objective function of minimizing voltage deviation and power loss. A second-order cone programming model is constructed

and the CPLEX commercial solver is used to solve the model

verifying the correctness and effectiveness of the voltage control strategy proposed in this paper.