Power Losses Analysis in a Three-Phase Distribution Transformer Using Artificial Neural Networks
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To reduce the power losses in the distribution networks, a new method has been proposed by [8] which are known as the hybrid particle swarm optimization approach for
In this paper, three-phase power flow for unbalance distribution system is carried out using Forward-Backward Propagation Technique.. The equivalent injection current method
The algorithm converged to the optimal solution in a matter of minutes demonstrating the feasibility of using simulated annealing to solve the problem of network reconfiguration for
CONCLUSION In this paper, a comparative analysis of DSTATCOM for control methods SDM, SRF and IRP is presented with different types of nonlinear loads such as diode rectifier,
Cost benefits of renewable energy were not captured in the work Radial distribution network Viral et al., 2015 Novel analytical approach Minimisation of the power loss of the sys-
Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks Vinay Chandwani⇑, Vinay Agrawal, Ravindra Nagar Department of Civil
ISSN Print : 2278-8948, Volume-2, Issue-4, 2013 98 power system application especially in discrimination of different transient phenomena in power transformer.[2]- [10] The technique
So we suggested developing a real-time overheat detection tool on secondary bushing using a temperature classification method based on the Feed Forward Neural Network FFNN equipped with