Multi-model prediction control method and system for draught fan, storage and controller

Abstract

The invention provides a multi-model prediction control method and system for a draught fan, a storage and a controller. The multi-model prediction control method for the draught fan comprises the steps that linearized models of the draught fan at all wind speed points are acquired, and dynamic differences among the linearized models of the wind speed points are acquired according to the clearance metric; wind speed ranges are divided according to the dynamic differences, and linearized model sets, formed by the linearized models of the corresponding wind speeds, of the wind speed ranges are built; optimal control input of a prediction controller, for draught fan control, of each wind speed range is acquired according to the linearized model sets of the wind speed ranges; the corresponding prediction controller is called according to switching laws of the linearized models to acquire the real-time optimal control input. Accordingly, overall working condition control over a draught fan system can be achieved, especially the complete low-redundancy linearized model sets are built according to the clearance metric, therefore, the multi-model prediction control effect of the draught fan system is improved, and the method is suitable for overall working condition control over an independent or distributed or parallel wind generation set.

Description

technical field [0001] The present invention relates to the technical field of mechanical equipment operation control, in particular to the technical field of an optimal control method for the operation of wind turbines in all working conditions, and specifically relates to a wind turbine multi-model predictive control method, system, memory and controller. [0002] Copyright statement [0003] The disclosure of this patent document contains material that is protected by copyright. This copyright belongs to the copyright owner. The copyright owner has no objection to the reproduction by anyone of the patent document or the patent disclosure as it exists in the official records and files of the Patent and Trademark Office. Background technique [0004] The energy problem is one of the main problems facing the development of the world today. With the depletion of traditional energy sources and the deepening of environmental problems, new energy sources such as wind energy, s...

AI Technical Summary

Problems solved by technology

The wind turbine is essentially a multi-input multi-output nonlinear system with constraints. Traditional PID control is difficult to obtain the optimal control effect. More advanced control methods are urgently needed to improve the control effect of wind turbines.

[0005] After searching the public literature of the prior art, it was found that Soliman M, Malik O P, Westwick DT. Multiple model predictive control for wind turbines with doubly fed induction generators. IEEE Transactions on Sustainable Energy, 2011, 2(3): 215-225.( Multi-model predictive control of wind turbines with doubly-fed induction generators, International Journal: IEEE Journal, Sustainable Energy, 2011, 2(3):215–225), although the author uses the multi-model predictive control algorithm for the full Working condition control has formed a model predictive control method for wind turbines with guaranteed constraints, but the author lacks research on the establishment of linear model sets. In actual operation, the completeness and low redundancy of the model set will affect the multi-model predictive control. The performance of the algorithm has a significant impact on the

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