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Optimum network reconfiguration and DGs sizing with allocation simultananeously by using particle swarm optimization

Nor Mazura , Shahrin (2014) Optimum network reconfiguration and DGs sizing with allocation simultananeously by using particle swarm optimization. Project Report. UTeM. (Submitted)

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OPTIMUM NETWORK RECONFIGURATION ANDDGs SIZING WITH ALLOCATION SIMULTANEOUSLY 24pages.pdf

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Abstract

Optimum network reconfiguration and Distributed Generation (DGs) sizing with allocation simultaneously by using Particle Swarm Optimization (PSO) proposed new way of allocation DG based on low voltage profile. This method consists of three stages. The first stage is to identify the switching operation for radial network configuration while observe the power losses and the voltage profile without DG. The second stage is feeder reconfiguration for loss reduction with DGs allocation based on geographical location. The last stage is sizing and allocation DGs at buses with low voltage profile resulted from the first stage to improve the power losses and voltage profile also comparing the result with the second stage. The objective of this method proposed is to show that allocation of DGs simultaneously based on low voltage profile can improve network power losses and improvement of voltage profile. The result shows that improvement on network power losses is 26.07% from Distribution Network Reconfiguration (DNR) method. Four cases were compared which is case one is the initial case and taken as a reference. All three stages were tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of power losses and voltage profile has been made by switching and DGs sizing and allocation method.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: electric power distribution, swarm intelligence, distributed generation of electric power
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKE
Depositing User: Norziyana Hanipah
Date Deposited: 25 Jan 2016 04:35
Last Modified: 25 Jan 2016 04:35
URI: http://digitalcollection.utem.edu.my/id/eprint/15699

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