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The Distribution Network Reconfiguration By Using Multipopulation Evolutionary Programming (MPEP) For Loss Minimizing

Mohammad Hanif, Jifri (2015) The Distribution Network Reconfiguration By Using Multipopulation Evolutionary Programming (MPEP) For Loss Minimizing. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Electric power distribution loss and reliability are major concerns in power system as the demand of electrical energy by customers keep increasing day by day. One of the suggested methods to minimize these problems is by doing reconfiguration process to existing distribution network. A reconfiguration is performed by opening or closing the sectionalizing switches and need 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 will be investigated and the impact to the distribution network will be analyzed and the algorithm (MPEP) will be applied on IEEE 16, 33 and 69 busses radial distribution systems network. The real result will be compared with the conventional initial network and other optimization technique which is conventional Evolutionary Programming (EP). The results of this study is hoped to help the electrical engineers (Power System) in Malaysia in order to solve the losses problem in the distribution network plant at the same time increasing the efficiency of the real distribution system.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Electric power distribution, Electric networks
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKE
Depositing User: Ahmad Tarmizi Abdul Hadi
Date Deposited: 09 Nov 2016 00:35
Last Modified: 09 Nov 2016 00:35
URI: http://digitalcollection.utem.edu.my/id/eprint/17489

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