Direct Power Control Based On Fuzzy Neural Network For Open Winding Brushless Doubly-fed Generator

Along with the sustained and rapid growing of the national economy, the demand for energy is growing strongly, and the use of a large amount of fossil fuels has led to the aggravation of environmental pollution,the national haze is more and more severe, wind energy as a clean and renewable energy, conforms to the direction of future energy development, especially wind power has received more and more attention from domestic and foreign experts. Hybrid rotor brushless doubly fed generator has the advantages of simple structure, durable, VSCF, adjustable power factor etc, in wind power, especially for large wind turbines and offshore wind power has broad application prospects. In this paper, on the background of the National Natural Science Foundation of China project "composite rotor winding brushless doubly fed wind generator and its direct power control strategy"(item number: 51277124), A direct power control method based on fuzzy neural network is proposed for a new type of brushless doubly fed generator, which is based on the fuzzy neural network.This paper mainly carries out the some research work in the following areas:First, in-depth study and analysis the operating principle of the mixed turn winding brushless doubly fed generator, discusses in detail the generator under different operating states of energy conversion, the mathematical model of the brushless doubly fed generator based on rotor speed is derived, the simulation model is built on the basis of the mathematical model of the rotor speed, and the simulation research on the characteristics of the generator under different operating conditions is carried out.Secondly, The project of direct power control scheme for brushless doubly fed generator rotor is designed, based on direct power control principle, the effects of different voltage vectors on active power and reactive power are analyzed, the operating characteristics of the direct power control system of the hybrid rotor brushless doubly fed generator based on the different sectors are divided by simulation.Thirdly, aiming at the problem that the traditional direct power control method can not select the appropriate voltage vector according to the size of the power deviation, the direct power control strategy of brushless doubly fed induction generator based on fuzzy control is proposed. The control strategy can adjust the power of large deviation and small deviation, improve the accuracy of power control.Finally, the fuzzy neural network not only has the reasoning ability of fuzzy logic, also has the learning of neural network ability. Therefore, on the basis of fuzzy control, a direct power control strategy based on fuzzy neural network is proposed, which is suitable for the hybrid rotor winding brushless doubly fed generator, and the simulation model of the control system is established in the simulink environment. The results show that direct power control strategy based on fuzzy neural network has better control effect.