Quantum migration parallel multilayer Monte Carlo doubly-fed induction generator parameter optimization method

Abstract

The invention provides a quantum migration parallel multilayer Monte Carlo doubly-fed induction generator parameter optimization method. The method comprises a population coding method based on quantum bit probability amplitude and a migration parallel multilayer Monte Carlo optimization method. Meanwhile, the invention provides an optimization framework of proportional integral differential parameters of a doubly-fed induction generator rotor side controller. Firstly, Monte Carlo random points are generated through a population coding method based on quantum bit probability amplitude, and thepopulation diversity can be improved under the condition that the population number is not changed; then, multiple groups of proportional integral differential parameters and fitness values reflecting the performance of the controller are obtained through the multi-layer multi-granularity parallel multi-layer Monte Carlo method; next, previous experience knowledge is learned through transfer learning, so that the optimization calculation speed is increased; and finally, proportional integral differential parameters of the doubly-fed induction generator rotor side controller with good controlperformance are obtained through the multi-layer multi-granularity parallel multi-layer Monte Carlo optimization method.

Description

technical field [0001] The invention belongs to the field of wind power generation control, and relates to a controller parameter optimization method, which is suitable for parameter optimization of a double-fed fan rotor side controller. Background technique [0002] In recent years, the application of double-fed wind turbines in the field of wind power generation has become a research hotspot, with great development prospects and commercial value. The method of vector method combined with proportional integral differential control is widely used in the wind power industry based on doubly-fed wind turbines because of its easy-to-implement structure and the characteristics of decoupling control between output powers. The doubly-fed fan system is a high-order, nonlinear, strongly coupled, and time-delayed system. Therefore, it is very difficult to optimize the parameters of the rotor-side controller and obtain satisfactory control performance by using the traditional enginee...

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Problems solved by technology

Therefore, it is very difficult to optimize the parameters of the rotor-side controller and obtain satisfactory control performance by using the traditional engineering tuning method and the classical self-tuning method

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