Constant power generalized predictive control method for wind power generator set based on Hammerstein-Wiener model

Abstract

The invention relates to a constant power generalized predictive control method for a wind power generator set based on a Hammerstein-Wiener model. The constant power generalized predictive control method comprises the following steps: acquiring enough sample data inputted and outputted by a wind power generation system in real time, establishing the Hammerstein-Wiener wind power generator prediction model based on a least squares support vector machine and obtaining the power multi-step prediction output of a wind power generator through model identification; outputting and calculating a quadratic performance index subjected to generalized predictive control through a multi-step prediction output and reference trajectory of the wind power generation system; carrying out rolling optimization on the quadratic performance index by adopting a quasi-Newton trust region CPSO (Chaos Particle Swarm Optimization) hybrid optimization algorithm, outputting a pitch angle controlled quantity u(k) capable of enabling the performance index to be smallest; newly acting the obtained pitch angle controlled quantity u(k) on the wind power generation system, obtaining the next time of multi-step prediction output and carrying out cyclic predictive control. According to the constant power generalized predictive control method, the hardware development cost is reduced, the approximation accuracy and the rolling optimization efficiency of the prediction model on the output power of a non-linear wind power generator are improved, and the constant-power control above the rated wind speed of the wind power generator is realized.

Description

technical field [0001] The invention relates to a generalized predictive control method for a wind turbine, in particular to a constant power generalized predictive control method for a wind turbine based on a Hammerstein-Wiener model, and belongs to the technical field of wind power control. Background technique [0002] As one of the most important components of new energy, wind energy is a new energy with development value and commercial development prospects. In recent years, the wind power industry has continued to develop and improve, and the ratio of wind energy as energy supply has greatly increased. When the wind speed is above the rated value, how to effectively adjust the pitch servo system to meet the constant power output of the wind turbine is highly valued. At present, the more commonly used method is PID control. PID control realizes constant power output by adjusting power deviation and pitch angle. However, the PID control method is only limited to the ope...

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Problems solved by technology

Rolling optimization uses weighted performance indicators for control quantities and deviations. Least squares recursive optimization is commonly used, which requires a large amount of data and complex matrix calculations, and the optimization performance is often a compromise between rapidity and stability. The optimization Performance needs to be further improved

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