Data-Driven Coordinated Voltage Control Strategy for Distribution Networks with High Proportion of Renewable Energy Based on Voltage–Power Sensitivity

In order to achieve rapid and accurate voltage regulation in active distribution networks, this paper proposes a data-driven coordinated voltage control strategy for active distribution networks based on voltage–power sensitivity. Firstly, we establish a BP neural network regression prediction model for voltage–power sensitivity to depict the nonlinear mapping relationship between power and node voltage and achieve rapid acquisition of voltage–power sensitivity. Secondly, based on the principle of stepwise regulation of voltage–power sensitivity, a voltage coordination control framework for a high-proportion photovoltaic active distribution network is constructed by using a two-stage voltage regulation mode of reactive power compensation and active power reduction to achieve efficient and rapid regulation of node voltages in the active distribution network. Finally, the correctness and effectiveness of the proposed method are verified through simulation calculation and analysis of typical power distribution systems of IEEE 33-nodes and IEEE 141-nodes.