Conventional and Intelligent Methods for DG Placement Strategies

Since the talks started about the benefits of utilizing distributed generations (DG) to the electrical power system, the number of researches about this phenomena became tremendous. In this paper, the wealth in DG diversity has been investigated. Power system losses and voltage profile have been put as a target under investigation to evaluate the efficient employment of the DGs in the electrical system. A 33-bus distribution system with diesel generator in one case and with wind generator in another case have been simulated and tested. Simulation results are included to show the wealthy effect in DG diversity in terms of power system loss reduction and voltage profile enhancement. Radial basis function (RBF) neural network has been constructed to represent the target system as an alternative way to solve the problem of DG placement. Result shows a unique implementation of neural network to replace the conventional model.