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Improvement of electrical power system dynamic stability using Riccati Matrix method

Master of Science in Electrical Power Engineering

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Bibliographic Details
Main Author: Norfadilah, Rosle
Other Authors: Muhammad Irwanto, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2015
Subjects:
Electric power systems
Power system stability
Power systems
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72315
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spelling my.unimap-723152021-10-04T08:22:43Z Improvement of electrical power system dynamic stability using Riccati Matrix method Norfadilah, Rosle Muhammad Irwanto, Dr. Electric power systems Power system stability Power systems Master of Science in Electrical Power Engineering Low frequency oscillations appear when a small disturbance occurs in an interconnected multi-machine power system and becomes one of the major subjects concerning in power system studies. Due to small disturbances, power systems experience these poorly damped low-frequency oscillations. In the dynamic electrical power system stability, the positive damping oscillation is very important. By using the optimum gains that obtained from Riccati matrix method, these oscillations can be well damped and hence the system stability is enhanced. Riccati matrix method is used to enhance better system stability in damping oscillation power system. This research presents a design of a single machine to an infinite bus (SMIB) with additional optimum gain from Riccati matrix method to enhance the dynamic stability of power systems by improving the damping of the low frequency oscillations. Eigenvalues analysis and time domain analysis are applied to the overall system. MATLAB Simulink is used to design a Riccati matrix method to enhance the damping characteristic of power system to improve its stability. The dynamic simulations results are presented to show the effectiveness and robustness of the designed Riccati matrix method. Analysis and simulation have proved the effectiveness of a Riccati matrix method in order to improve the electrical power system dynamic stability 2015 2021-10-04T08:22:43Z 2021-10-04T08:22:43Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72315 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Electric power systems
Power system stability
Power systems
spellingShingle Electric power systems
Power system stability
Power systems
Norfadilah, Rosle
Improvement of electrical power system dynamic stability using Riccati Matrix method
description Master of Science in Electrical Power Engineering
author2 Muhammad Irwanto, Dr.
author_facet Muhammad Irwanto, Dr.
Norfadilah, Rosle
format Dissertation
author Norfadilah, Rosle
author_sort Norfadilah, Rosle
title Improvement of electrical power system dynamic stability using Riccati Matrix method
title_short Improvement of electrical power system dynamic stability using Riccati Matrix method
title_full Improvement of electrical power system dynamic stability using Riccati Matrix method
title_fullStr Improvement of electrical power system dynamic stability using Riccati Matrix method
title_full_unstemmed Improvement of electrical power system dynamic stability using Riccati Matrix method
title_sort improvement of electrical power system dynamic stability using riccati matrix method
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72315
_version_ 1724609883548942336
score 13.214268

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