LAPSE:2023.25419
Published Article
LAPSE:2023.25419
Dynamic Low Voltage Ride through Detection and Mitigation in Brushless Doubly Fed Induction Generators
Ahsanullah Memon, Mohd Wazir Mustafa, Muhammad Naveed Aman, Mukhtar Ullah, Tariq Kamal, Abdul Hafeez
March 28, 2023
Abstract
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.
Keywords
low voltage ride through, reactive power control, short-circuit faults, wind energy
Suggested Citation
Memon A, Mustafa MW, Aman MN, Ullah M, Kamal T, Hafeez A. Dynamic Low Voltage Ride through Detection and Mitigation in Brushless Doubly Fed Induction Generators. (2023). LAPSE:2023.25419
Author Affiliations
Memon A: School of Electrical Engineering, Faculty of Engineering, University Teknologi Malaysia, Skudai 81310, Johor, Malaysia; Department of Electrical Engineering, Mehran University of Electrical & Technology, SZAB Campus, Khairpur Mir 66020, Sindh, Pakistan [ORCID]
Mustafa MW: School of Electrical Engineering, Faculty of Engineering, University Teknologi Malaysia, Skudai 81310, Johor, Malaysia
Aman MN: School of Computing, National University of Singapore, Singapore 117417, Singapore [ORCID]
Ullah M: Department of Electrical Engineering, National University of Computer and Emerging Sciences, Islamabad 44000, Islamabad Capital Territory, Pakistan
Kamal T: Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan
Hafeez A: Computer Science & Information Technology, University of Engineering and Technology Peshawar, Jalozai Campus, Peshawar 25120, Khyber Pakhtunkhwa, Pakistan [ORCID]
Journal Name
Energies
Volume
14
Issue
15
First Page
4461
Year
2021
Publication Date
2021-07-23
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14154461, Publication Type: Journal Article
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LAPSE:2023.25419
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https://doi.org/10.3390/en14154461
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