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16 December 2022 Primary frequency regulation strategy of wind turbine based on adaptive control
Hao Dong, Sanming Liu, Weibin Sun, Qifan Huang
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Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250025 (2022) https://doi.org/10.1117/12.2661006
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
Due to the decoupling of the rotor speed and the system frequency, the Double-Fed Induction Generator (DFIG) cannot participate in the primary frequency regulation of the system, which reduces the stability of the wind turbine system with a high proportion. In the traditional integrated control, the fixed coefficient is usually used, which cannot change the parameters in real time according to the change of wind speed and system frequency to participate in the system frequency modulation. Therefore, in order to improve the ability of the wind turbine to respond to the frequency of the system, this paper proposes a wind turbine primary frequency modulation strategy based on adaptive control. By combining the adaptive load reduction control with the adaptive virtual inertia integrated control, the load reduction ratio, the virtual inertia coefficient and the droop coefficient can be adjusted adaptively with the actual wind condition and the system frequency deviation. The simulation results show that the adaptive control strategy can improve the ability of the wind turbine to participate in the primary frequency modulation of the system, so as to improve the safety and reliability of the system.
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Hao Dong, Sanming Liu, Weibin Sun, and Qifan Huang "Primary frequency regulation strategy of wind turbine based on adaptive control", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250025 (16 December 2022); https://doi.org/10.1117/12.2661006
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KEYWORDS
Wind turbine technology
Frequency modulation
Control systems
Adaptive control
Wind energy
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