Maximum power tracking control method for small permanent-magnet direct-drive wind power generation system

Abstract

The invention relates to a maximum power tracking control method for a small permanent-magnet direct-drive wind power generation system. According to the method, on the basis of collecting a lot of actual samples of wind speed vector-rotating speed-power, a firefly support vector machine regression prediction model of the wind speed is established, and wind speed estimation is performed by utilizing the model; next, the optimal rotating speed, corresponding to the maximum power point, of a draught fan is predicted through the optimum tip speed ratio method; afterwards, the rotating speed of the draught fan is adjusted to the predicted optimum rotating speed of the draught fan, and the maximum power of the draught fan is tracked based on the perturbation and observation method at a set perturbation step length with the rotating speed as an initial value. According to the maximum power tracking control method, wind speed estimation without sensors is achieved, the control cost of a power generation system is greatly reduced, the speed and accuracy for looking for the maximum power point are enhanced, and power loss during perturbation is lowered.

Description

technical field [0001] The invention relates to a method for controlling a small permanent magnet direct drive wind power generation system, which belongs to the technical field of power generation. Background technique [0002] With the continuous aggravation of the global energy crisis, people pay more and more attention to renewable energy. Due to its many advantages, wind power has become one of the main directions of new energy power generation. Small wind power generation systems (less than 15kW) are very competitive in remote mountainous areas and islands where large power grids cannot provide power support due to their low cost. Therefore, it is of great practical significance to carry out relevant research on small wind power generation systems. [0003] The output power of the wind turbine is related to the external environment and load conditions, and there is a unique maximum power point (MPP) under certain external environment and load conditions. In order to...

AI Technical Summary

Problems solved by technology

However, due to sample limitations and the influence of over-learning or under-learning in the training process, there is inevitably a certain error between the predicted value of the maximum power point of the model and the actual value.

[0007] In summary, the existing control methods for wind power generation systems have disadvantages such as high cost and poor tracking accuracy, which limit the development of wind power generation, so it is necessary to improve them

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