RECONFIGURATION OF ELECTRICAL DISTRIBUTION NETWORK USING ARTIFICIAL NEURAL NETWORK

Electrical distribution network reconfiguration is a complex combinatorial optimization process to find the network topology that minimizes system power loss, reduces node voltage deviation, improves load balancing among feeders while maintaining branch current within designed limits. This paper presents artificial neural network (ANN) based approach to solve network reconfiguration problems. The training set for ANN is generated from the fuzzy based and genetic algorithm (GA) based optimization approach. Proposed ANN method is applied to 33 bus test system. Test results specify that proposed ANN model provides fast and accurate network configuration for different load conditions.