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Multi-Objective Of Optimal Distribution Network Reconfiguration By Using Modified Artificial Bee Colony Alorithm

Idris, Nurul Syazwani (2016) Multi-Objective Of Optimal Distribution Network Reconfiguration By Using Modified Artificial Bee Colony Alorithm. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Multi-Objective Of Optimal Distribution Network Reconfiguration By Using Modified Artificial Bee Colony Alorithm - Nurul Syazwani Idris - 24 Pages.pdf - Submitted Version

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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 Distribution Network Reconfiguration (DNR) by using Modified Artificial Bee Colony Algorithm (IABC). The main objectives of this study are to minimize the power losses, enhance load balancing index, and improve the voltage profile simultaneously. The performance of the proposed method will be investigated and the impact to the distribution network will be analyzed. The algorithm (IABC) will be applied on IEEE 33 bus radial distribution systems network. The real result will be compared with the conventional initial network and other optimization techniques which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). 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 reconfiguration and at the same time increasing the efficiency of the real distribution system.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Electric power systems -- Load dispatching
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKE
Depositing User: Nor Aini Md. Jali
Date Deposited: 07 Aug 2018 06:48
Last Modified: 07 Aug 2018 06:48
URI: http://digitalcollection.utem.edu.my/id/eprint/21153

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