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Low voltage ride through for a wind turbine based SCAG
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015This paper develops a control strategy for a large wind turbine based on the squirrel cage asynchronous generator (SCAG). In addition, the transient behavior during Low Voltage Ride Through (LVRT) of the system is studied. To this end, the wind turbine connected to the grid is controlled in such way to inject maximum power into the grid and provide a ...
Kamal Elyaalaoui +2 more
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Research on Low Voltage Ride Through Technology of Wind Farm
2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020Adopting the idea of time-sharing control, respectively put forward the wind turbine protection scheme of sliding mode variable structure control and the reactive power optimization scheme of variable droop coefficient. First, in the dq-axis coordinate system, the transient mathematical model of the double-fed induction generator rotor side is improved,
Jianhua Yu, Huaizhi Wang, Jianchun Peng
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Remote detecting low voltage ride through ability of DFIG
TENCON 2015 - 2015 IEEE Region 10 Conference, 2015There are difficulties in detecting low voltage ride through (LVRT) ability of offshore doubly fed induction generator (DFIG) because of complexity of sea condition. In this paper, a new scheme is put forward to solve this problem. This new scheme takes into account the effect of submarine cables on transient process of circuit, and the influence on ...
Caike Xie +2 more
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Effect of Low Voltage Ride Through Technologies on Wind Farm
2007 IEEE Canada Electrical Power Conference, 2007Doubly fed induction generators (DFIG) offer many advantage when used with wind turbines. Given their configuration, they are particularly sensitive to grid faults. As many countries now require wind turbine generators to remain connected to the grid during faults, low voltage ride through solutions are being developed to fulfill this new requirement ...
Jean Morneau, Chad Abbey, Geza Joos
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The current control of PV inverter for low voltage ride through
2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC), 2012The objective of this paper is to propose a maximum current amplitude control (MCAC) for the Photovoltaic (PV) power system with the low-voltage ride-through (LVRT) behaviour. The proposed MCAC strategy can generate the demanded active and reactive power depending on the output power condition of the PV array and the power rating of the grid-tied ...
Yong-Sih Wu +5 more
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Low-Voltage Ride-Through Remote Testing Method for Offshore Wind Turbines
IEEE Transactions on Instrumentation and Measurement, 2020Grid-connected wind turbines (WTs) are required to have low-voltage ride-through (LVRT) capability. On-site LVRT test is a convincing certificating method. To tackle the limited accessibility and harsh conditions of on-site test for offshore WTs, this paper proposes a remote testing method, which places the testing device on shore to produce the ...
Zimin Jiang, Yutian Liu 0002
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Comparison of several Low Voltage Ride Through Attached Equipment
2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP), 2019The power plant auxiliary drive system will work abnormally or even trip due to frequency converter voltage drops, which might be caused by transient state process of auxiliary power system or the external grid. Low voltage ride through (LVRT) is an effective way to solve the above problem.
Donghui Wang +5 more
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Low Voltage Ride-through of PV System Based on APFF
2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 2018Aiming at problems of two-stage photovoltaic(PV) grid-connected system including inverter overcurrent and large fluctuation of DC-side capacitor voltage when the grid voltage drops, a low voltage ride-through optimization control strategy based on active power feed forward(APFF) mode is proposed.
Yan Li +5 more
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Improving Microgrid Low-Voltage Ride-Through Capacity Using Neural Control
IEEE Systems Journal, 2020In this article, a neural sliding-mode linearization controller is proposed to regulate the generated active and reactive power for each distributed energy resource in a microgrid. The developed controller is based on recurrent high-order neural network identification, trained online with an extended Kalman filter learning algorithm.
Larbi Djilali +4 more
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