Distribution Network Dynamic Reconfiguration Using Grasshopper Optimization Algorithm With Wind Turbine Injection To Minimize Power Loss

The distribution system develops more complex, especially with mining renewable energy as a Distributed Generator (DG), such as power losses. This problem can be solved by performing a dynamic reconfiguration that considers changes in load and renewable energy. Dynamic reconfiguration using the Grasshopper Optimization Algorithm (GOA) was tested on the 20 kV ULP Teluk Betung network to minimize power losses. There are three conditions to consider when the distribution network is connected without DG, connected with DG, and a comparison of the results between connected and connected without DG. After network reconfiguration and the addition of DG, the simulation results found that the active and reactive power losses decreased by 25.08% and 24.98%, with values of 3153.55 kW and 5596.60 kVAR against the initial configuration.