Analysis of power system event using synchronized PMUs in Thailand power network
This paper applies the synchronized phasor measurement units (PMUs) based wide-area monitoring system to analyze the power system event under the occurrence of large disturbance. The salient feature of the monitoring system is the convenient installation of PMU at 220 V home outlet. The power system...
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th-cmuir.6653943832-610482018-09-10T04:03:43Z Analysis of power system event using synchronized PMUs in Thailand power network I. Ngamroo A. Kunakorn M. Leelajindakrirerk Y. Mitani S. Dechanupapritta M. Watanabe P. Jintakosonwit T. Hashiguchi Y. Ota H. Ukai J. Sakulrat A. Sode-Yome T. Tanasaksiri Energy Engineering This paper applies the synchronized phasor measurement units (PMUs) based wide-area monitoring system to analyze the power system event under the occurrence of large disturbance. The salient feature of the monitoring system is the convenient installation of PMU at 220 V home outlet. The power system event given here is the tripping of High-Voltage Direct Current (HVDC) link between Thailand and Malaysia due to the fault in a thyristor room at Khlong Ngae converter station of Thailand side on July 22, 2005. The discrete wavelet decomposition and short-time Fourier Transform have been applied to analyze the characteristic of the inter-area oscillation between central and southern areas in both time and frequency domains. Analyzed results based on PMUs data are consistent with the actual tie-line power flow between both areas. 2018-09-10T04:03:14Z 2018-09-10T04:03:14Z 2007-12-01 Conference Proceeding 2-s2.0-54949112868 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=54949112868&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61048 |
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Energy Engineering |
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Energy Engineering I. Ngamroo A. Kunakorn M. Leelajindakrirerk Y. Mitani S. Dechanupapritta M. Watanabe P. Jintakosonwit T. Hashiguchi Y. Ota H. Ukai J. Sakulrat A. Sode-Yome T. Tanasaksiri Analysis of power system event using synchronized PMUs in Thailand power network |
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This paper applies the synchronized phasor measurement units (PMUs) based wide-area monitoring system to analyze the power system event under the occurrence of large disturbance. The salient feature of the monitoring system is the convenient installation of PMU at 220 V home outlet. The power system event given here is the tripping of High-Voltage Direct Current (HVDC) link between Thailand and Malaysia due to the fault in a thyristor room at Khlong Ngae converter station of Thailand side on July 22, 2005. The discrete wavelet decomposition and short-time Fourier Transform have been applied to analyze the characteristic of the inter-area oscillation between central and southern areas in both time and frequency domains. Analyzed results based on PMUs data are consistent with the actual tie-line power flow between both areas. |
format |
Conference Proceeding |
author |
I. Ngamroo A. Kunakorn M. Leelajindakrirerk Y. Mitani S. Dechanupapritta M. Watanabe P. Jintakosonwit T. Hashiguchi Y. Ota H. Ukai J. Sakulrat A. Sode-Yome T. Tanasaksiri |
author_facet |
I. Ngamroo A. Kunakorn M. Leelajindakrirerk Y. Mitani S. Dechanupapritta M. Watanabe P. Jintakosonwit T. Hashiguchi Y. Ota H. Ukai J. Sakulrat A. Sode-Yome T. Tanasaksiri |
author_sort |
I. Ngamroo |
title |
Analysis of power system event using synchronized PMUs in Thailand power network |
title_short |
Analysis of power system event using synchronized PMUs in Thailand power network |
title_full |
Analysis of power system event using synchronized PMUs in Thailand power network |
title_fullStr |
Analysis of power system event using synchronized PMUs in Thailand power network |
title_full_unstemmed |
Analysis of power system event using synchronized PMUs in Thailand power network |
title_sort |
analysis of power system event using synchronized pmus in thailand power network |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=54949112868&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61048 |
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1681425548577865728 |