Awalin, Lilik Jamilatul and Abd Halim, Syahirah and Ramli, Nor Azuana and Jamaludin, Jafferi and Ali, Mohd Syukri (2022) Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression. Indonesian Journal of Electrical Engineering and Computer Science, 27 (2). 780 – 792. ISSN 2502-4752, DOI https://doi.org/10.11591/ijeecs.v27.i2.pp780-792.
Full text not available from this repository.Abstract
The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the PMUs placement can be determined using the least square support vector regression (LS-SVR) technique. The primary goal of this study is to assess the level of accuracy of the PMUs placement using mean square error (MSE). First, the IEEE-14 bus system equipped with PMUs was built in Matlab software using Simulink. The MSE of the PMUs was then calculated using the LS-SVR. The results revealed that the lower the MSE, the better the PMUs placement. It was also observed that placing the PMUs on bus 2, bus 6, and bus 9 produced the lowest value of MSE. © 2022 Institute of Advanced Engineering and Science. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Cited by: 0; All Open Access, Gold Open Access, Green Open Access |
| Uncontrolled Keywords: | IEEE 14-bus system; Least square support vector; Mean square error; Phasor measuring units; regression; Reliable energy Wide area monitoring systems |
| Subjects: | T Technology > T Technology (General) T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 18 Nov 2024 01:14 |
| Last Modified: | 18 Nov 2024 01:14 |
| URI: | http://eprints.um.edu.my/id/eprint/43795 |
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