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Adaptive fuzzy control of wind turbine excitation converter

2026-04-06 05:28:46 · · #1
Abstract : Adopting a suitable excitation control strategy can ensure the safe and stable operation of wind turbines and excitation converters under grid voltage dips, which is beneficial for grid recovery from faults. This paper establishes a model of the excitation converter control system and designs a power loop control strategy for the rotor-side converter and a voltage loop control strategy for the grid-side converter using adaptive fuzzy control theory. Through simulation analysis of the wind power generation system under small grid voltage fluctuations using fuzzy control and PI control, the results show that adaptive fuzzy control can more effectively suppress overcurrents on the stator and rotor sides and overvoltages on the DC side, ensuring the safe operation of wind turbines and excitation converters and improving the low-voltage ride-through performance of wind turbines. Keywords : Wind power generation technology; Dual PWM converter; Adaptive fuzzy control; Low-voltage ride-through 1. Introduction With the continuous increase in wind power installed capacity, wind power generation accounts for an increasingly higher proportion of the power grids in various countries. Therefore, it is necessary to consider the impact of the wind turbine operating status on the power grid during grid faults. Currently, power grid companies in various countries have put forward new technical requirements for wind turbines based on their own actual conditions, including reactive power control, active power rate change control, frequency control, and low voltage ride-through capability. Low voltage ride-through capability is considered a major challenge in wind turbine design, manufacturing, and control technology. Low voltage ride-through (LVRT) refers to the ability of a wind turbine to remain connected to the grid and even provide some reactive power support to the grid when a voltage drop occurs while the turbine is connected to the grid, until the grid returns to normal, thus "riding" through this low voltage period. When the grid voltage drops, due to the small capacity and limited control performance of the excitation converter, wind turbines may experience overvoltage, overcurrent, and increased speed, seriously threatening the grid-connected operation of the turbine. The conventional approach is to disconnect the turbine from the grid to ensure the safety of both the turbine and the grid. This is acceptable when wind power accounts for a small proportion of the national power grid, but as the proportion of wind power generation increases, continuing this operation may increase the difficulty of restoring the entire power grid system and exacerbate the fault. Therefore, researching how to improve the low voltage ride-through capability of wind turbines is very important and necessary. Wind turbines typically employ doubly-fed induction generators (DFIGs), which contain both stator and rotor windings, both of which can output power. Since a DFIG wind power generation system is a multi-order, nonlinear, and multivariable system, traditional control theory is not ideal. This paper designs an adaptive fuzzy control strategy. (Full text available for download: Adaptive Fuzzy Control for Wind Turbine Excitation Converter)
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