基于状态空间线性变换的主动配电网分布式电压控制

The integration of large-scale distributed generation into active distribution network poses challenges to voltage control. Limited by the accuracy of distribution network model parameters，the performance of traditional centralized control and model-based distributed control is significantly affected. Aiming at the above problem，a distributed voltage control of active distribution network based on state space linear transformation is proposed. By utilizing matrix splitting method，it can carry out Hessian inverse in a distributed manner，and provide super-linear convergence. Based on Koopman data-driven method，the historical operation data of distribution networks is taken as training samples，the lift-dimension linear power flow model is constructed，and the voltage-reactive power sensitivity is derived. Therefore，the Newton direction in distributed control can be properly tuned. The results of case studies validate that compared with the methods based on model parameters，the proposed method exhibits faster convergence rate and better voltage profile. Besides，the method is independent on parameters，and has superiority in practical applications.