Optimal distribution network reconfiguration to minimization power loss

With the development of industry, population growth, and suburbanization, load demand is constantly increasing from year to year. Overload has greatly strained distribution network (DN), resulting in increased power losses due high-power flow. Therefore, it becomes very important minimize at DN maximize efficiency companies. Network reconfiguration one effective methods companies use DN. This paper proposes Dingo Optimization Algorithm (DOA) solve problems DN's loss. DOA mimics social behavior Australian dingo dog. IEEE-33 bus been used demonstrate effectiveness proposed method. The obtained simulation results compared with other literature comparison showed that provides better quality solutions than methods.