Mohamad Sofian Abu TALIP, Hazlie MOKHLIS, Hesham Hanie YOUSSEF, Mohammad Al SAMMAN, Munir Azam MUHAMMAD, Nurulafiqah Nadzirah MANSOR

Distribution network reconfiguration based on artificial network reconfiguration for variable load profile

Network reconfiguration is a process to change the open-switches in distribution system for a minimum power loss. In the past, metaheuristic techniques were applied widely for network reconfiguration with consideration of a fixed loading profile. When the loading changes, the current configuration may not be the optimal one. Thus, the technique needs to be executed to find a new optimal configuration based on the latest loading. The process is time-consuming since metaheuristic techniques commonly require high computational times and produces inconsistent results. Therefore, this paper proposes a network reconfiguration technique based on artificial neural network (ANN) for variable loading conditions. The proposed ANN model is tested on IEEE 33-bus, IEEE 69-bus, and IEEE-118 bus systems. The test results indicate the efficiency of the proposed technique in three aspects: processing time, simple structure, and high accuracy

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