Data-driven Coordinated Voltage Control Strategy for Active Distribution Network Based on Voltage-power Sensitivity
With the growing penetration rate of distributed photovoltaic(PV),the realization ofa fast and precise regu-lation of distribution network voltage becomes increasingly important.First,a multi-inputmulti-output voltage-power sensitivity BP neural network regression prediction model is established to obtain the nonlinear mapping relationship be-tween power parameters,node voltage and voltage-power sensitivity.Second,a coordinated voltagecontrol strategy for active distribution network with high-proportion PV is constructed.Based on the principle of descending-order regula-tion of voltage-power sensitivity,the fast regulation of distribution network node voltage is achieved through a two-stage voltage regulationmode combining reactive power compensation and active power reduction.Finally,the correctness and validity of the proposed method are verified by the simulation and computational analysis oftypical IEEE33-node and 141-nodedistribution systems.
BP neural networkdata-drivenvoltage-power sensitivitycoordinated voltage controlactive distribution network
万方数据
维普
