Wind power system maximum power tracking adaptive robust control system and method

Abstract

The invention discloses a maximum power tracking adaptive robust control system and method for a wind turbine system. The maximum power tracking adaptive robust control system for the wind turbine system comprises a wind speed collecting system, a fan information collecting module, an optimal wind wheel angular velocity calculation module, an angular velocity processing module, an adaptive robustcontrol module, a control signal generating module and the like, wherein the adaptive robust control module further comprises an action network and an evaluation network. According to the maximum power tracking adaptive robust control system and method for the wind turbine system, the wind wheel angular velocity is controlled in real time to track the optimal wind wheel angular velocity, so that output power of the wind turbine system is enabled to reach the maximum output power, meanwhile, by means of autonomous learning training of the adaptive robust control system, the condition that the fan output power stably tracks the maximum output power is guaranteed. Compared with the prior art, the system and the method have relative low requirements for dynamics and control theories and high tracking speed, are accurate in control and flexible in reaction and have relatively high robustness.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to a maximum power tracking adaptive robust control system and method of a wind power generation system. Background technique [0002] With the rapid development of social economy, traditional energy sources are becoming increasingly exhausted, and the development of sustainable renewable energy sources is imminent. As a widely distributed clean and renewable energy, wind energy has the characteristics of free, clean, and pollution-free. It has a good application prospect and has received widespread attention worldwide. Wind power generation refers to the conversion of wind energy into electrical energy through a wind power generation system. Compared with most renewable energy generation technologies, wind power has clear competitive advantages. my country is rich in wind energy resources, and the development of wind power generation can provide an impor...

AI Technical Summary

Problems solved by technology

Some researchers have proposed a fuzzy proportional-integral-derivative (PID) compound controller, which combines fuzzy control and traditional PID control technology to achieve the maximum power output of the generator, but its control accuracy is not high.

Someone proposed a fuzzy neural network controller combining neural network and fuzzy logic control, using indirect vector control and reactive power control technology to control the power transmission between the machine and the grid, in which the fuzzy logic control rules are relatively complex

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