Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method

An isolated electrical network with an independent local distributed generator is very sensitive towards the contingencies between load demand and supply. Although the network system has less complexity in term of structure, its stability condition is crucial due to its stand-alone operating conditi...

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Main Authors: Jamri, Mohd Saifuzam, Kamarudin, Muhammad Nizam, Mohd Jamil, Mohd Luqman
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25767/2/2NDAUTHOR.PAPER.2021.IJECS1.PDF
http://eprints.utem.edu.my/id/eprint/25767/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25665/15392#
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.257672022-03-17T10:05:12Z http://eprints.utem.edu.my/id/eprint/25767/ Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method Jamri, Mohd Saifuzam Kamarudin, Muhammad Nizam Mohd Jamil, Mohd Luqman An isolated electrical network with an independent local distributed generator is very sensitive towards the contingencies between load demand and supply. Although the network system has less complexity in term of structure, its stability condition is crucial due to its stand-alone operating condition. The total power deficit in the network gives the important information related to the dynamical frequency responses which may directly affect the system's stability level. In this paper, the approach to estimate the total power deficiency for the isolated electrical network was presented by utilized the Luenberger observer method. Although the power deficit is not the state variable in the network mathematical model, the solution of estimation problem was feasible by introducing the new variable using additional dummy system. The simulation was carried out by using MATLAB/Simulink environment and the designed estimator was verified using multifarious load demand changes. The results show that the estimated signal was successfully tracked the expected actual signal with minimum error. Institute of Advanced Engineering and Science 2021-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25767/2/2NDAUTHOR.PAPER.2021.IJECS1.PDF Jamri, Mohd Saifuzam and Kamarudin, Muhammad Nizam and Mohd Jamil, Mohd Luqman (2021) Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method. Indonesian Journal of Electrical Engineering and Computer Science, 23 (3). pp. 1249-1257. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25665/15392# 10.11591/ijeecs.v23.i3.pp1249-1257
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description An isolated electrical network with an independent local distributed generator is very sensitive towards the contingencies between load demand and supply. Although the network system has less complexity in term of structure, its stability condition is crucial due to its stand-alone operating condition. The total power deficit in the network gives the important information related to the dynamical frequency responses which may directly affect the system's stability level. In this paper, the approach to estimate the total power deficiency for the isolated electrical network was presented by utilized the Luenberger observer method. Although the power deficit is not the state variable in the network mathematical model, the solution of estimation problem was feasible by introducing the new variable using additional dummy system. The simulation was carried out by using MATLAB/Simulink environment and the designed estimator was verified using multifarious load demand changes. The results show that the estimated signal was successfully tracked the expected actual signal with minimum error.
format Article
author Jamri, Mohd Saifuzam
Kamarudin, Muhammad Nizam
Mohd Jamil, Mohd Luqman
spellingShingle Jamri, Mohd Saifuzam
Kamarudin, Muhammad Nizam
Mohd Jamil, Mohd Luqman
Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
author_facet Jamri, Mohd Saifuzam
Kamarudin, Muhammad Nizam
Mohd Jamil, Mohd Luqman
author_sort Jamri, Mohd Saifuzam
title Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
title_short Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
title_full Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
title_fullStr Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
title_full_unstemmed Total Power Deficiency Estimation Of Isolated Power System Network Using Full-State Observer Method
title_sort total power deficiency estimation of isolated power system network using full-state observer method
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25767/2/2NDAUTHOR.PAPER.2021.IJECS1.PDF
http://eprints.utem.edu.my/id/eprint/25767/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25665/15392#
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