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

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