Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 18
Page No. 6567 - 6574

A New Approach of DNR by using Multi-Population Evolutionary Programming (MPEP) for Losses Minimization

Authors : N. Baharin, M.F. Sulaima, M.H. Jifri, Z.H. Bohari and M.F. Baharom

Abstract: Electric power distribution loss and reliability are major concerns in power system as the demand for electrical energy by customers keeps increasing day by day. One of the suggested methods to minimize these problems is by doing reconfiguration process to the existing distribution network. A reconfiguration is performed by opening or closing the sectionalizing switches to maintain the feeder in radial network. This study presents a method of Distribution Network Reconfiguration (DNR) by using Multi Population Evolutionary Programming (MPEP). The main objectives of this study are to minimize the power losses and improve the voltage profile. The performance of the Multi-Population Evolutionary Programming (MPEP) method has been investigated and the impact to the distribution network has been analyzed. The proposed algorithm has been tested on IEEE 16, 33 and 69 buses of radial distribution systems network accordingly. The real results have been compared with the conventional initial network and an optimization technique which is conventional Evolutionary Programming (EP). The results of this study are hoped able to help electrical engineers in solving the losses problem in the distribution network while increasing the efficiency of the real distribution system significantly.

How to cite this article:

N. Baharin, M.F. Sulaima, M.H. Jifri, Z.H. Bohari and M.F. Baharom, 2019. A New Approach of DNR by using Multi-Population Evolutionary Programming (MPEP) for Losses Minimization. Journal of Engineering and Applied Sciences, 14: 6567-6574.

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