Extreme value searching control parameter self-adaptive adjusting method based on slip form

Abstract

The invention relates to an extreme value searching control parameter self-adaptive adjusting method based on a slip form. The method includes the following steps: (1) collecting actual output power ps(t) of t moment (current moment) from the output end of a generator every sampling period delta t and obtaining current wind speed through a wind speed measuring device; (2) leading out optimum rotating speed under the current wind speed; (3) calculating an adjusting coefficient gama; (4) conducting parameter adjustment on extreme value searching control based on the slip form, if |ps(t)-pwmax(t)|>Xi and Xi is a threshold, Z0=Z0*gama, and U0=U0*gama; otherwise, keeping Z0 and U0 unchanged, t=t+delta t and turning to the step (2); (5) utilizing a control system to quickly adjust the rotating speed omega r of the generator to reach the optimum rotating speed omega r ef; (6) enabling an output power curve to approach the optimum power curve. By means of the method, parameters of the control system can be adjusted automatically according to the current wind speed environment, the output power curve can approach the optimum curve, and the wind energy utilization coefficient Cp can be recovered to the maximum value.

Description

technical field [0001] The invention belongs to the technical field of double-fed variable-speed constant-frequency wind power generation systems, in particular to an adaptive adjustment method for extreme value search control parameters based on sliding mode. Background technique [0002] In the past ten years, wind power generation technology has achieved rapid development in the world. The power of a single wind power system has increased from several thousand W in the 1990s to the current 5-6MW. How to maximize the utilization of wind energy within the effective wind speed range and improve the efficiency of wind farms, that is, the problem of tracking and adjusting the maximum wind energy of the wind power system, has always been a hot issue in the regulation and control of wind farm output. [0003] Regarding the problem of tracking the maximum wind energy of wind power systems, researchers at home and abroad have proposed many meaningful algorithms and strategies. Th...

AI Technical Summary

Problems solved by technology

Optimal wind energy tracking method based on sliding mode variable structure control strategy, this method has the characteristics of no error tracking and fast response, but its disadvantage is that oscillation may occur near the maximum power point

The maximum wind energy tracking strategy based on the fuzzy control strategy, the biggest advantage of this method is that it does not need to accurately model the controlled object, but the control accuracy of the controller is relatively low

The wind power maximum output tracking method based on perturbation extremum search does not need to establish an accurate model for the control object. Increased complexity of the control system

Based on sliding mode extreme value search control, this control method not only does not need the mathematical model of the control object, but also has a simple control principle and good control effect. The disadvantage is that this control method has three parameters. If the parameters are not set properly, the control quality will be greatly reduced. , and the traditional method is to use the simulation method to repeatedly adjust the artificial parameters to obtain parameters with better control quality. When the system structure changes, it needs to be adjusted accordingly, so it is very cumbersome

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