Wind Turbine Maximum Power Point Tracking Control Method Based on Torque Gain Coefficient Optimization

Abstract

The invention discloses a maximum power point tracking control method for wind turbines based on torque gain coefficient optimization. On the basis of the MPPT control method for reducing torque gain, the method uses the wind energy capture efficiency of wind turbines operating under the PSF method as The comprehensive measurement index of the influence of turbulent wind speed on MPPT, the function relationship between the optimal torque gain coefficient and the index is traversed offline; when the online operation is performed, the comprehensive measurement index is obtained periodically, and according to the optimal setting of the torque gain coefficient by the function The fixed value is estimated and updated; the wind energy capture efficiency corresponding to the PSF method is obtained by constructing a virtual wind turbine running the PSF method in the main control PLC of the unit and synchronously operating the actual unit. The present invention can realize the single index characterization of the comprehensive influence of multiple indexes on the MPPT, simplify the construction complexity of the direct quantitative relationship, and greatly reduce the requirement for computing power resources while ensuring the wind energy capture efficiency.

Description

technical field [0001] The invention belongs to the field of wind turbine control, in particular to a maximum power point tracking control method for wind turbines based on torque gain coefficient optimization. Background technique [0002] In order to improve the maximum power point tracking (MPPT) performance of wind turbines in the face of turbulent wind speed, based on the most widely used power signal feedback (PSF) method, a new method based on torque gain and tracking interval is developed. An improved PSF method that adjusts the two ideas. These two ideas are to sacrifice the wind energy capture efficiency in the low-energy wind speed area in exchange for the improvement of the tracking performance in the high-energy wind speed area. It is necessary to set the key adjustment parameters reasonably to balance the loss and increase, and to maximize the overall efficiency. The research shows that the optimal value of the key adjustment parameters is affected by the char...

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Problems solved by technology

[0004] The adaptive algorithm does not need to know the parameters of the wind turbine in advance, and has the advantages of strong versatility and fast implementation in batches. However, in some wind condition changing scenarios, the search does not converge and even the search direction is wrong. Performance improvements are limited

However, the method of directly constructing the functional relationship between the optimal torque curve adjustment amount and the three wind condition characteristics to guide the online optimization of parameters avoids the iterative search process, and can obtain high wind energy capture efficiency and good wind condition adaptability. However, this kind of method takes a lot of time and computing power to perform offline traversal work, and it is not easy to quickly implement it in batches, which limits its engineering practicability

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