Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction

Modeling of power distribution networks needs accurate impedance data of overhead lines and underground cables. In unbalanced distribution networks, the mutual and selfimpedances are required. The need of accurate impedance data is for evaluation electrical of distribution system planning with econo...

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Main Author:	Shahad, Falih Khlaif
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/18644/1/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18644/2/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction.pdf
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spelling	my-utem-ep.186442022-03-14T14:53:24Z Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction 2016 Shahad, Falih Khlaif T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Modeling of power distribution networks needs accurate impedance data of overhead lines and underground cables. In unbalanced distribution networks, the mutual and selfimpedances are required. The need of accurate impedance data is for evaluation electrical of distribution system planning with economic considerations. The data of series impedance is also used to investigate power flow in all segments in the distribution system. Therefore, modified Carson's equations have been utilized in this study to calculate series impedance of both overhead lines and underground cables using MATLAB program for getting more accurate results. MATLAB program has the ability to get the result of three phase, two phases, and single phase according to user's choice. The IEEE tests have been used to validate this work. Two tests, as the IEEE 34 bus test and IEEE 13 bus test are implemented. Determination of power flow was done using Open Distribution System Simulator (OpenDSS) program which is suitable for electrical distribution networks. The obtained results from OpenDSS program are used to find the optimum location and sizing of capacitors that would be installed in distribution system. The particle swarm optimization (PSO) is utilized to solve the problem of location and sizing of capacitor. Constraints of voltage profile and total demand of reactive power were considered. Installation of capacitors before and after optimization was compared based on voltage profile and reduction of power losses. The results of this work showed that the method for the calculations of the series impedance (series resistance and inductance) per unit of length is acceptable according to IEEE standard data. The method is accurate and has advantage as easy to implement which accomplished with Carson's equations. In addition, the results indicated that PSO algorithm has succeeded in finding proper placement and sizing of capacitor bank. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18644/ http://eprints.utem.edu.my/id/eprint/18644/1/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18644/2/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction.pdf text en validuser http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000100753 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Engineering
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Shahad, Falih Khlaif Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
description	Modeling of power distribution networks needs accurate impedance data of overhead lines and underground cables. In unbalanced distribution networks, the mutual and selfimpedances are required. The need of accurate impedance data is for evaluation electrical of distribution system planning with economic considerations. The data of series impedance is also used to investigate power flow in all segments in the distribution system. Therefore, modified Carson's equations have been utilized in this study to calculate series impedance of both overhead lines and underground cables using MATLAB program for getting more accurate results. MATLAB program has the ability to get the result of three phase, two phases, and single phase according to user's choice. The IEEE tests have been used to validate this work. Two tests, as the IEEE 34 bus test and IEEE 13 bus test are implemented. Determination of power flow was done using Open Distribution System Simulator (OpenDSS) program which is suitable for electrical distribution networks. The obtained results from OpenDSS program are used to find the optimum location and sizing of capacitors that would be installed in distribution system. The particle swarm optimization (PSO) is utilized to solve the problem of location and sizing of capacitor. Constraints of voltage profile and total demand of reactive power were considered. Installation of capacitors before and after optimization was compared based on voltage profile and reduction of power losses. The results of this work showed that the method for the calculations of the series impedance (series resistance and inductance) per unit of length is acceptable according to IEEE standard data. The method is accurate and has advantage as easy to implement which accomplished with Carson's equations. In addition, the results indicated that PSO algorithm has succeeded in finding proper placement and sizing of capacitor bank.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Shahad, Falih Khlaif
author_facet	Shahad, Falih Khlaif
author_sort	Shahad, Falih Khlaif
title	Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
title_short	Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
title_full	Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
title_fullStr	Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
title_full_unstemmed	Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
title_sort	modeling of electrical distribution networks with particle swarm optimization technique for the improvement of voltage profile and loss reduction
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18644/1/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18644/2/Modeling%20Of%20Electrical%20Distribution%20Networks%20With%20Particle%20Swarm%20Optimization%20Technique%20For%20The%20Improvement%20Of%20Voltage%20Profile%20And%20Loss%20Reduction.pdf
_version_	1747833947240267776

Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction

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