The Cluster Partitioning and Autonomous Optimization Control Based on the Dung Beetle Optimization Algorithm

To address the voltage limit issues caused by the large-scale integration of distributed photovoltaic (PV) systems into current distribution networks, this paper proposes a voltage control strategy based on cluster-based autonomous optimization. The strategy aims to minimize PV generation loss and line active power loss by optimizing the active and reactive power output of PV inverters. Using k-means clustering, the paper introduces an improved K-means clustering method based on the Dung Beetle Optimization (DBO) algorithm, considering the silhouette coefficient as the evaluation metric for network partitioning. The cluster autonomous optimization control rapidly adjusts the voltage within the cluster by updating the optimal solution and virtual balance node within the group, achieving voltage control through active power reduction. The proposed method is applied to a 10.5kV line in China to verify its effectiveness and feasibility.