LADRC Parameters Optimization For The Wind Power System Based On Advanced Optimization Algorithm

New energy gradually takes the place of fossil fuel energy, including coal, oil and natural gas, which is the key of sustainable energy strategy. The wind power occupies an important position among all kinds of new energy. The variable speed constant frequency doubly-fed wind power generation system gradually becomes the mainstream of the wind farm because of its control flexibility, adjustable power factor and higher wind energy conversion efficiency. The ac excitation control technology has become the key of wind power technology. In most cases, the ac excitation control for doubly-fed induction generator is the classical control based on the vector transformation. But this kind of control method requires accurate system model, also requires the system with stable parameters. The wind power system works in areas with changeable environments. When the external environment changes (temperature, humidity, etc.), the parameters of the generator also change, which will reduces the control effect of the system.Based on a large number of research literature of the wind power industry at home and abroad, this thesis focuses on the operation of the doubly-fed induction generator control technology, including gird’s PWM control strategy of wind power system, variable pitch constant power control strategy, the maximum power point tracking and no-load grid-connection control strategy. Based on the analysis of the control principles, taking advantage of linear auto disturbances rejection control algorithm’s dealing with internal disturbance and external disturbance, we can apply it to the running phases of the doubly-fed induction generator gird’s PWM, variable pitch constant power operation, maximum wind power tracking, no-load grid-connection and so on when encountering the problems in the actual operation such as slow regulating speed, long dynamic response time, sudden change of the wind turbine parameters, sudden change of wind speed, etc. In this way, the speed of dynamic response will be accelerated, also the anti-interference of the system will be improved.But the parameter optimization of the linear auto disturbances rejection control is often achieved by experimental method or trial and error method, which is difficult to find, and also wastes a lot of time.This paper adopts adaptive immune particle swarm optimization algorithm to the parameter optimization of the linear auto disturbances rejection control. Immune particle swarm optimization overcomes the disadvantages of particle swarm optimization algorithm and immune algorithm on the combination of their advantages so as to get the speediness of the algorithm, at the same time, avoiding being trapped in local minima. In addition, the adaptive adjustments of inertial factor, crossover probability, mutation probability could quicken the optimization speed of the algorithm. Finally through the simulation of Matlab/Simulink, using the optimizated LADRC method to carry out PWM control, pitch control, MPPT control and the no-load gird-connection control, compared with using tradition method and non-optimizated LADRC method, the result showed that the designing methods are accurate and efficient.