LQG optimal control method for high wind speed zone of wind turbine generator system

Abstract

The invention discloses an LQG optimal control method for a high wind speed zone of a wind turbine generator system. Aiming at the characteristics of randomness, uncertainty, unmodeled dynamics and the like of a wind power system, when a wind turbine generator model is linearized, the uncertainty of wind turbine model parameters is considered, an LQG control strategy with the integral action is put forwards, the advantages of an LQG in the aspect of overcoming stochastic disturbance are reserved, the advantages of integral control in the aspect of eliminating steady-state error are also utilized, weighted matrix parameters are subjected to iterative refinement through a particle swarm algorithm, thus the control property is further improved, movement of the tower top is further considered,two PID controllers are applied to control longitudinal displacement and transverse displacement of the tower top correspondingly, and the longitudinal displacement and transverse displacement of thetower top are expected to be inhibited to be zero.

Description

technical field [0001] The invention relates to the technical field of wind turbine control, in particular to an LQG optimization control method in a high wind speed area of ​​a wind power generating set. Background technique [0002] In today's world, the problems of energy shortage and environmental pollution are becoming more and more serious. The development and utilization of renewable energy, especially wind energy, has been highly valued by countries all over the world. The urgent need and vigorous development of wind power generation has promoted the continuous progress of wind power generation technology. With the development of large-scale and high-parameterization of wind power generation units, the requirements for the quality of output power and smooth operation of wind power generation units are also getting higher and higher. , it is particularly important to design an effective control strategy. [0003] At present, many scholars have conducted research on t...

AI Technical Summary

Problems solved by technology

However, the actual fan system has certain nonlinearity, randomness, uncertainty and unmodeled dynamics.

The model parameters will change with the wind speed. When the system deviates from the typical point, the LQG control performance is poor

[0005] At the same time, most studies only focus on the stability of the output power of the generator in the high wind speed area, while ignoring the movement of the top of the tower due to the aerodynamic thrust when the wind turbine is running.

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