Journal of System Simulation
Abstract
Abstract: Considering the difficulty of equivalent modeling of low voltage ride-through(LVRT) characteristics of a wind farm, a neural ordinary differential equation(ODE)-based wind farm LVRT modeling methodis proposed. The input of the model is the voltage and wind speed of each wind turbine at the grid connection point of wind farm, and the output is the current at the grid connection point. The model can better characterize the strong nonlinear switching process and describe LVRT characteristics of wind farms under different wind speed scenarios. A simulation example of a wind farm including three doubly-fed induction generators(DFIGs) is established on CloudPSS simulation platform to test the proposed method. The test results verify the generalization ability and effectiveness of Neural ODEs model.
Recommended Citation
Lai, Qiping; Xiao, Tannan; Li, Dongsheng; and Shen, Chen
(2022)
"Low Voltage Ride-through Modeling for Wind Turbines Based on Neural ODEs,"
Journal of System Simulation: Vol. 34:
Iss.
12, Article 4.
DOI: 10.16182/j.issn1004731x.joss.22-FZ0928
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss12/4
First Page
2546
Revised Date
2022-09-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.22-FZ0928
Last Page
2556
CLC
TP391.9
Recommended Citation
Qiping Lai, Tannan Xiao, Dongsheng Li, Chen Shen. Low Voltage Ride-through Modeling for Wind Turbines Based on Neural ODEs[J]. Journal of System Simulation, 2022, 34(12): 2546-2556.
DOI
10.16182/j.issn1004731x.joss.22-FZ0928
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