Multi-Objective Dynamic Network Reconfiguration Considering Voltage Stability and Integration of Distributed Energy Sources Using SPSO-IPOPT

The distribution system becomes crucial components in the power system. On a daily basis, the distribution network must supply electrical energy to all consumers whose demand fluctuates. Moreover, there is a constant increase in load, leading to higher operating costs, power losses, and the risk of channel disturbances. Additionally, the proliferation of distributed generation from renewable energy or energy storage systems is on the rise. The presence of such equipment can alter the distribution system's operational patterns and the direction of power flow, potentially reducing voltage stability. To ensure customer satisfaction, the distribution system must be reliable. This research simulates line disturbances and the impacts on the distribution system in operating costs and VSI (Voltage Stability Index) deviation values. The issues related to network disturbances are addressed through dynamic reconfiguration. To find the best switch configuration, SPSO (Selective Particle Swarm Optimization) method is used. Then, to solve the OPF (Optimal Power Flow), the IPOPT (Interior Point Optimization) method is utilized. The simulations show the reduction of the operating costs and total VSI deviation values by 23.401% and 26.492%, respectively. Thus, dynamic reconfiguration using the SPSO-IPOPT method effectively resolves network reconfiguration issues and improves the distribution network during disturbances.