A Sensitivity Analysis-based Method For Optimal Allocation of High-capacity Dynamic Voltage Restorers in Radial Distribution Networks

Overloading some nodes in a complex radial distribution network can lead to serious voltage deviation problems. Configuring a large-capacity dynamic voltage restorer is an effective measure to solve the node voltage offset problem. This paper proposes an optimization method for configuring highcapacity dynamic voltage restorers based on sensitivity analysis, which can quickly and reasonably select the installation location and capacity of high-capacity dynamic voltage restorers in the distribution network. It can quickly solve the installation location and capacity of large-capacity dynamic voltage restorers. Considering the vertical and horizontal structure of the radial distribution network, a governance model that focuses on vertical governance is proposed and supplemented by horizontal governance. First, the sensitivity of the large-capacity dynamic voltage restorer is calculated for all nodes using sensitivity analysis methods. In this way, the installation position of the large-capacity dynamic voltage restorer is obtained. Second, the sum of the absolute values of the voltage offset at the nodes of the radial distribution network is taken as the objective function. Establish a large-capacity dynamic voltage restorer capacity-optimized model. Finally, the optimization model is solved by improving the particle swarm algorithm. A case study was conducted on a 41-node radial system. The simulation results verify the rationality and effectiveness of the proposed scheme.