Model prediction control method for floating type wind and wave combined power generation system

Through the model prediction and control method, combined with the fan pitch and wave energy power generation device PTO control, the structural response and unstable power generation system of floating wind and wave combined power generation system in turbulent wind and wave environments is solved, and the load fluctuation is reduced and the stability of power generation is improved.

CN120406175AActive Publication Date: 2025-08-01OCEAN UNIV OF CHINA
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Patent Information

Application Number
CN202510912109.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-03
Publication Date
2025-08-01
Estimated Expiration
2045-07-03

AI Technical Summary

Technical Problem

The existing floating wind and wave combined power generation system is difficult to achieve stable control of structural load and dynamic response in turbulent wind and sea wave environments, resulting in unstable power output and failure to effectively respond to changes in wind and wave environments.

Method used

The model prediction control method is adopted, and by establishing a nonlinear mathematical model and performing linearization, a discrete time prediction model is constructed, the optimization objective function and constraints are designed, and the control parameters are optimized in real time to cope with complex marine environments.

Benefits of technology

It effectively reduces the structural response of the wind and wave combined power generation system in the turbulent wind and wave frequency bands, reduces the fluctuation of the tower base load, suppresses the platform pitch motion, and improves the stability of the power output.

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Abstract

The invention relates to the technical field of ocean renewable energy power generation, and particularly discloses a floating type wind wave combined power generation system model prediction control method, which comprises the following steps: establishing a nonlinear mathematical model of a floating type wind wave combined power generation system; determining a steady-state working condition point of the system; carrying out linear processing on the nonlinear model; constructing a discrete time prediction model; designing a target function; defining a state and an input constraint condition; performing real-time rolling optimization solution; and dynamically feeding back a correction mechanism. Starting from a wind wave excitation mechanism, on one hand, response in a turbulent wind frequency band is reduced through fan variable pitch control, and on the other hand, response in a wave frequency band is reduced through wave energy power generation device PTO control, so that tower footing load is effectively reduced, and pitching motion of a platform is restrained. Global multi-objective optimization is realized by designing an objective function, defining constraint conditions and solving the objective function.
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