Optimization of power quality monitors in transmission system network

Power quality disturbances cause a great financial loss in the order of billions worldwide due to population growth, more sensitive devices and the significant usage of electricity. The power quality monitoring system aimed at determining the causes and the classification of power quality disturbanc...

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Main Author: Aliyu, Abubakar Kabir
Format: Thesis
Language:English
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/78667/1/AbubakarKabir%20AliyuMFKE2015.pdf
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spelling my-utm-ep.786672018-08-29T07:53:22Z Optimization of power quality monitors in transmission system network 2015-12 Aliyu, Abubakar Kabir TK Electrical engineering. Electronics Nuclear engineering Power quality disturbances cause a great financial loss in the order of billions worldwide due to population growth, more sensitive devices and the significant usage of electricity. The power quality monitoring system aimed at determining the causes and the classification of power quality disturbances so that proper action can be taken. Among all power disturbances, voltage sags are considered as the most frequent and severe type of disturbances that lead to loss of operation of equipment’s. The power quality monitoring system is the first to consider in power quality assessment and mitigation so as to get a reliable and efficient power supply. Installing power quality monitors (PQM) in every component of the power system network is not feasible due to economic reasons and its need to be minimized. And then how to get the optimal number and locations of power quality monitors while maintaining system observability becomes an important problem. The aim of this research is to find the optimal number and the best location of power quality monitors in the system network. The IEEE 14 bus test system was modelled and analyzed using POWERWORLD software so as to obtain fault voltage and monitor reach area matrixes considering balanced and unbalanced faults in the system. The optimization formulation problem is also formed and solved using a MATLAB toolbox of an integer programming algorithm and sag occurrence value is used to find the best placement position. Finally, this research end with the comparison with the MATLAB toolbox of genetic algorithm. Thus, both the IP and GA techniques give the same optimal number for a different set threshold value. However, for a threshold value of 0.9 p.u ,the optimal number of PQM is 1 for each of the simulated fault type in the system and different number of PQM for a threshold value of 0.55p.u and o.2p.u depending on the sensitivity of voltage sag occurrences of each of the simulated fault type in the system. 2015-12 Thesis http://eprints.utm.my/id/eprint/78667/ http://eprints.utm.my/id/eprint/78667/1/AbubakarKabir%20AliyuMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:106316 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Aliyu, Abubakar Kabir
Optimization of power quality monitors in transmission system network
description Power quality disturbances cause a great financial loss in the order of billions worldwide due to population growth, more sensitive devices and the significant usage of electricity. The power quality monitoring system aimed at determining the causes and the classification of power quality disturbances so that proper action can be taken. Among all power disturbances, voltage sags are considered as the most frequent and severe type of disturbances that lead to loss of operation of equipment’s. The power quality monitoring system is the first to consider in power quality assessment and mitigation so as to get a reliable and efficient power supply. Installing power quality monitors (PQM) in every component of the power system network is not feasible due to economic reasons and its need to be minimized. And then how to get the optimal number and locations of power quality monitors while maintaining system observability becomes an important problem. The aim of this research is to find the optimal number and the best location of power quality monitors in the system network. The IEEE 14 bus test system was modelled and analyzed using POWERWORLD software so as to obtain fault voltage and monitor reach area matrixes considering balanced and unbalanced faults in the system. The optimization formulation problem is also formed and solved using a MATLAB toolbox of an integer programming algorithm and sag occurrence value is used to find the best placement position. Finally, this research end with the comparison with the MATLAB toolbox of genetic algorithm. Thus, both the IP and GA techniques give the same optimal number for a different set threshold value. However, for a threshold value of 0.9 p.u ,the optimal number of PQM is 1 for each of the simulated fault type in the system and different number of PQM for a threshold value of 0.55p.u and o.2p.u depending on the sensitivity of voltage sag occurrences of each of the simulated fault type in the system.
format Thesis
qualification_level Master's degree
author Aliyu, Abubakar Kabir
author_facet Aliyu, Abubakar Kabir
author_sort Aliyu, Abubakar Kabir
title Optimization of power quality monitors in transmission system network
title_short Optimization of power quality monitors in transmission system network
title_full Optimization of power quality monitors in transmission system network
title_fullStr Optimization of power quality monitors in transmission system network
title_full_unstemmed Optimization of power quality monitors in transmission system network
title_sort optimization of power quality monitors in transmission system network
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2015
url http://eprints.utm.my/id/eprint/78667/1/AbubakarKabir%20AliyuMFKE2015.pdf
_version_ 1747818041805111296