
doi: 10.1049/rpg2.12090
Abstract Transient simulation model of doubly‐fed induction generator‐based wind turbine has a complex model structure and considerable control parameters. An accurate simulation model is especially important for studying the static and transient characteristics of doubly‐fed induction generator‐based wind turbine and the grid‐connected system. Based on the measured data of low voltage ride‐through testing, the integrated parameter identification method is proposed here. Combined with the time‐domain simulation analysis, curve fitting is used to determine the control strategy of doubly‐fed induction generator‐based wind turbine. The improved genetic algorithm is used to identify the generator parameters, power control parameters, and resistance of Crowbar of doubly‐fed induction generator‐based wind turbine. Combined with the electrical parameters provided by the wind turbine manufacturer, electromagnetic transient model on full operation condition and rapid starting period, corresponding to a measured doubly‐fed induction generator‐based wind turbine in West Inner Mongolia Power Grid, is then established, which can operate in the full wind speed range and quickly enter the stable state within 1 s after start‐up. Comparison of simulation results and measured data shows that the established electromagnetic transient simulation model using parameters identified by the proposed method can accurately reflect the key characteristics of doubly‐fed induction generator‐based wind turbine.
Optimisation techniques, Wind power plants, TJ807-830, Interpolation and function approximation (numerical analysis), Power system control, Asynchronous machines, Renewable energy sources
Optimisation techniques, Wind power plants, TJ807-830, Interpolation and function approximation (numerical analysis), Power system control, Asynchronous machines, Renewable energy sources
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