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Network reconfiguration in electrical distribution system is the process of changing the status of tie or sectionalizing switches, i.e., open or closed status to alter its topological structure. The proposed work attempts to reconfigure the system to balance loads while maintaining system radiality, using Ant Colony Optimization Technique. The burden of over loaded feeders is reduced by shifting partial loads to relatively lightly loaded feeders through reconfiguration of the system structure. The proposed technique provides various feasible solutions to balance loads on the feeders along with Graph Theory.

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The resources for electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances, the option left is optimal utilization of available energy resources. To overcome this problem recently, a concept of Demand Side Management (DSM) has emerged in Power System Planning and Management. The main idea of DSM is to discuss the mutual benefits between supplier and consumer for maximum benefits and minimum inconvenience. The work presented in this paper gives the results of application of neural network and DSM techniques applied to Nandi milk industry in India. The study indicates the improvement in energy efficiency of the system in terms of load factor, in addition the consumer also gets saving or reduction in the energy bill due to lowering of Maximum Demand (MD).

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