Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators
Brushless doubly-fed induction generators have higher reliability, making them an attractive choice for not only offshore applications but also for remote locations. These machines are composed of two back-to-back voltage source converters: the grid side converter and the rotor side converter. The r...
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Online Access: | http://eprints.utm.my/id/eprint/95354/1/AhsanullahMemon2021_DynamicLowVoltageRidethroughDetection.pdf http://eprints.utm.my/id/eprint/95354/ http://dx.doi.org/10.3390/en14154461 |
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my.utm.953542022-04-29T22:33:09Z http://eprints.utm.my/id/eprint/95354/ Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators Memon, Ahsanullah Mustafa, Mohd. Wazir Aman, Muhammad Naveed Ullah, Mukhtar Kamal, Tariq Abdul Hafeez, Abdul Hafeez TK Electrical engineering. Electronics Nuclear engineering Brushless doubly-fed induction generators have higher reliability, making them an attractive choice for not only offshore applications but also for remote locations. These machines are composed of two back-to-back voltage source converters: the grid side converter and the rotor side converter. The rotor side converter is typically used for reactive current control of the power winding using the control winding current. A low voltage ride through (LVRT) fault is detected using a hysterisis comparison of the power winding voltage. This approach leads to two problems, firstly, the use of only voltage to detect faults results in erroneous or slow response, and secondly, sub-optimal control of voltage drop because of static reference values for reactive current compensation. This paper solves these problems by using an analytical model of the voltage drop caused by a short circuit. Moreover, using a fuzzy logic controller, the proposed technique employs the voltage frequency in addition to the power winding voltage magnitude to detect LVRT conditions. The analytical model helps in reducing the power winding voltage drop while the fuzzy logic controller leads to better and faster detection of faults, leading to an overall faster response of the system. Simulations in Matlab/Simulink show that the proposed technique can reduce the voltage drop by up to 0.12 p.u. and result in significantly lower transients in the power winding voltage as compared to existing techniques. MDPI 2021-08 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/95354/1/AhsanullahMemon2021_DynamicLowVoltageRidethroughDetection.pdf Memon, Ahsanullah and Mustafa, Mohd. Wazir and Aman, Muhammad Naveed and Ullah, Mukhtar and Kamal, Tariq and Abdul Hafeez, Abdul Hafeez (2021) Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators. Energies, 14 (15). pp. 1-17. ISSN 1996-1073 http://dx.doi.org/10.3390/en14154461 DOI:10.3390/en14154461 |
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TK Electrical engineering. Electronics Nuclear engineering Memon, Ahsanullah Mustafa, Mohd. Wazir Aman, Muhammad Naveed Ullah, Mukhtar Kamal, Tariq Abdul Hafeez, Abdul Hafeez Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
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Brushless doubly-fed induction generators have higher reliability, making them an attractive choice for not only offshore applications but also for remote locations. These machines are composed of two back-to-back voltage source converters: the grid side converter and the rotor side converter. The rotor side converter is typically used for reactive current control of the power winding using the control winding current. A low voltage ride through (LVRT) fault is detected using a hysterisis comparison of the power winding voltage. This approach leads to two problems, firstly, the use of only voltage to detect faults results in erroneous or slow response, and secondly, sub-optimal control of voltage drop because of static reference values for reactive current compensation. This paper solves these problems by using an analytical model of the voltage drop caused by a short circuit. Moreover, using a fuzzy logic controller, the proposed technique employs the voltage frequency in addition to the power winding voltage magnitude to detect LVRT conditions. The analytical model helps in reducing the power winding voltage drop while the fuzzy logic controller leads to better and faster detection of faults, leading to an overall faster response of the system. Simulations in Matlab/Simulink show that the proposed technique can reduce the voltage drop by up to 0.12 p.u. and result in significantly lower transients in the power winding voltage as compared to existing techniques. |
format |
Article |
author |
Memon, Ahsanullah Mustafa, Mohd. Wazir Aman, Muhammad Naveed Ullah, Mukhtar Kamal, Tariq Abdul Hafeez, Abdul Hafeez |
author_facet |
Memon, Ahsanullah Mustafa, Mohd. Wazir Aman, Muhammad Naveed Ullah, Mukhtar Kamal, Tariq Abdul Hafeez, Abdul Hafeez |
author_sort |
Memon, Ahsanullah |
title |
Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
title_short |
Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
title_full |
Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
title_fullStr |
Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
title_full_unstemmed |
Dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
title_sort |
dynamic low voltage ride through detection and mitigation in brushless doubly fed induction generators |
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MDPI |
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2021 |
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http://eprints.utm.my/id/eprint/95354/1/AhsanullahMemon2021_DynamicLowVoltageRidethroughDetection.pdf http://eprints.utm.my/id/eprint/95354/ http://dx.doi.org/10.3390/en14154461 |
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1732945462830301184 |
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13.211869 |