Optimal Reactive Power Model for Distribution Network Considering the Grid-Connected Characteristics of Photovoltaic

As the quantity of distributed generation (DG) nodes linked to the power grid rises, the influence of distributed photovoltaic generation (DPVG) on the power quality of the distribution power grid is progressively intensifying. This paper propose an optimal reactive power model for distribution network considering the grid-connected characteristics of DPVG. Firstly, the influence of the proportion, access s and location of DPVG on the voltage distribution of the distribution network are explored in the IEEE33 node distribution network. Then, a reactive power optimization model considering the uncertainty of PV output is proposed, with network loss and average voltage fluctuation as improvement objectives, and solved using the mutation particle swarm optimization (MPSO). Finally, the voltage distribution and power grid loss of each node are compared to validate the effectiveness and accuracy of the proposed model.