MARC details
| 000 -LEADER |
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| fixed length control field |
03441nam a22003377i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125105523.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
a||||fr|||| 001 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
200225t20192019my ||||f ma|| 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0008526(Local) |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FKEE .A37 2019 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Siti Nur Aishah Mohd Amin, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Kalman filter based impedance parameter estimation for transmission line and distribution line / |
| Statement of responsibility, etc. |
Siti Nur Aishah Mohd Amin, |
| 264 01 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMP, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2019 |
| 264 04 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
© 2019 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xi, 50 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Electrical & Electronics Engineering |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Science) -- Universiti Malaysia Pahang – 2019 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Accurate knowledge of impedance parameters in transmission line can helps to improve the performance of a system. Currently, methods for parameter identification in transmission line are various but limited due to the insufficient technology and finance. Most of the current algorithms for parameter identification are based on the assumption that transmission line is fully transposed and the corresponding components are symmetric. However, this is not true for certain low voltage systems or systems with short lines. In these cases, for transmission lines that are not fully transposed, the three sequence networks will be mutually coupled. The positive sequence measurement is use to estimate the positive sequence parameters which will generate inaccurate parameter estimates. Therefore, a detailed study on developing and evaluating the new algorithms for transmission line parameter estimation is considered in this thesis. The estimation of impedance parameters in transmission line has become possible with the availability of computational and prediction method. Therefore, this research presents the development of Kalman Filter model by using MATLAB simulink in order to estimate the accurate values of RXB and RLC parameters in transmission line. This research also reports the performance of Kalman Filter method in transmission line compared with the other methods such as Linear Least Square method and Synchronous Phasor Measurement method. To demonstrate the efficiency of the new proposed method, a case study of simulated distribution line in UMP is also considered. Firstly, the data set from the research areas such as voltage, current, power factor and design of Kalman Filter are presented. The modeling of Kalman Filter was evaluated by using MATLAB simulink to ensure there is no technical problem with the Kalman Filter itself. Then, the data set values such as voltage, current and power factor are used to estimates the new values of RXB and RLC parameters. The results showed that the higher accuracy with 98.64% in the estimation of RXB and RLC parameter values which are better than what was obtained. From this, it is shown that Kalman Filter is possible to use in the estimation areas especially for RXB and RLC parameters. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Electrical & Electronics Engineering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Disertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |