The comparison study among optimization techniques in optimizing a distribution system state estimation

State estimation considered the main core of the Energy Management System and plays an important role in stability analysis, control and monitoring of electric power systems. The state estimator actually depends on many factors, such as data sensitive regarding the sensors accuracy, the availability...

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Main Author:	Hazim Imad, Hazim
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/20518/1/The%20Comparison%20Study%20Among%20Optimization%20Techniques%20In%20Optimizing%20A%20Distribution%20System%20State%20Estimation.pdf http://eprints.utem.edu.my/id/eprint/20518/2/The%20comparison%20study%20among%20optimization%20techniques%20in%20optmizing%20a%20distribution%20system%20state%20estimation.pdf
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id	my-utem-ep.20518
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Omar, Rosli
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Hazim Imad, Hazim The comparison study among optimization techniques in optimizing a distribution system state estimation
description	State estimation considered the main core of the Energy Management System and plays an important role in stability analysis, control and monitoring of electric power systems. The state estimator actually depends on many factors, such as data sensitive regarding the sensors accuracy, the availability of raw data, the network database accuracy, and the time skew of data. Many researchers already been studied multi-area power system state estimation and most of them investigation of state estimation schemes including different state estimators for each a central coordinator and control area. Therefore, accurate and timely efficient state estimation algorithm is a prerequisite for a stable operation of modern power grids. This thesis introduce an intelligent decentralized State Estimation method based on Firefly algorithm for distribution power systems. The mathematical procedure of distribution system state estimation which utilizing the information collected from available measurement devices in real-time. A consensus based static state estimation strategy for radial power distribution systems is proposed in this research. This thesis concentrates on the balanced systems. There are buses acting as agents using which we can evaluate the local estimates of the entire system. Therefore each measurement model reduces to an underdetermined nonlinear system and in radial distribution systems, the state elements associated with an agent may overlap with neighboring agents. The states of these systems are first estimated through centralized approach using the proposed algorithm to compare with weighted least squares technique. At the end, the result will presented the application of the developed approach to a network based on IEEE 13 bus, 14 bus and 33 bus test System. The result a proved to be computational efficient and accurately evaluated the impact of distributed generation on the power system. From the result, it can observe that for decentralized is faster and less error for both WLS and FA. In addition, FA show faster and less error than WLS for both centralized and decentralized. In addition, the proposed FA show faster with increasing the number of buses.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Hazim Imad, Hazim
author_facet	Hazim Imad, Hazim
author_sort	Hazim Imad, Hazim
title	The comparison study among optimization techniques in optimizing a distribution system state estimation
title_short	The comparison study among optimization techniques in optimizing a distribution system state estimation
title_full	The comparison study among optimization techniques in optimizing a distribution system state estimation
title_fullStr	The comparison study among optimization techniques in optimizing a distribution system state estimation
title_full_unstemmed	The comparison study among optimization techniques in optimizing a distribution system state estimation
title_sort	comparison study among optimization techniques in optimizing a distribution system state estimation
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20518/1/The%20Comparison%20Study%20Among%20Optimization%20Techniques%20In%20Optimizing%20A%20Distribution%20System%20State%20Estimation.pdf http://eprints.utem.edu.my/id/eprint/20518/2/The%20comparison%20study%20among%20optimization%20techniques%20in%20optmizing%20a%20distribution%20system%20state%20estimation.pdf
_version_	1747833973041528832
spelling	my-utem-ep.205182022-06-02T08:32:33Z The comparison study among optimization techniques in optimizing a distribution system state estimation 2017 Hazim Imad, Hazim T Technology (General) TK Electrical engineering. Electronics Nuclear engineering State estimation considered the main core of the Energy Management System and plays an important role in stability analysis, control and monitoring of electric power systems. The state estimator actually depends on many factors, such as data sensitive regarding the sensors accuracy, the availability of raw data, the network database accuracy, and the time skew of data. Many researchers already been studied multi-area power system state estimation and most of them investigation of state estimation schemes including different state estimators for each a central coordinator and control area. Therefore, accurate and timely efficient state estimation algorithm is a prerequisite for a stable operation of modern power grids. This thesis introduce an intelligent decentralized State Estimation method based on Firefly algorithm for distribution power systems. The mathematical procedure of distribution system state estimation which utilizing the information collected from available measurement devices in real-time. A consensus based static state estimation strategy for radial power distribution systems is proposed in this research. This thesis concentrates on the balanced systems. There are buses acting as agents using which we can evaluate the local estimates of the entire system. Therefore each measurement model reduces to an underdetermined nonlinear system and in radial distribution systems, the state elements associated with an agent may overlap with neighboring agents. The states of these systems are first estimated through centralized approach using the proposed algorithm to compare with weighted least squares technique. At the end, the result will presented the application of the developed approach to a network based on IEEE 13 bus, 14 bus and 33 bus test System. The result a proved to be computational efficient and accurately evaluated the impact of distributed generation on the power system. From the result, it can observe that for decentralized is faster and less error for both WLS and FA. In addition, FA show faster and less error than WLS for both centralized and decentralized. In addition, the proposed FA show faster with increasing the number of buses. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20518/ http://eprints.utem.edu.my/id/eprint/20518/1/The%20Comparison%20Study%20Among%20Optimization%20Techniques%20In%20Optimizing%20A%20Distribution%20System%20State%20Estimation.pdf text en public http://eprints.utem.edu.my/id/eprint/20518/2/The%20comparison%20study%20among%20optimization%20techniques%20in%20optmizing%20a%20distribution%20system%20state%20estimation.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105953 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Omar, Rosli 1. Abur A. and M. K. Celik, .Least Absolute Value State Estimation with Equality and Inequality Constraints., IEEE Transactions on Power Systems, Vol. 8, No. 2, pp. 680-688, May 1993. 2. Abur A., (2009). Impact of phasor measurements on state estimation. 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The comparison study among optimization techniques in optimizing a distribution system state estimation

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