Chaos real-time detection system for wind power system and working method thereof

Abstract

The invention relates to a chaos real-time detection system for a wind power system. The chaos real-time detection system comprises a testing instrument and an upper computer installed with a program for realizing a chaos detection method, wherein the testing instrument comprises a signal acquiring and conditioning circuit, an A/D (Analog/Digital )conversion circuit, a singlechip, a data storage circuit, a timing circuit and a USB (Universal Serial Bus) interface circuit. A working method of the chaos real-time detection system comprises the following steps of: acquiring a signal; conditioning the signal; storing data; detecting the chaos; and acquiring a related dimension and implanting delay time. The chaos real-time detection system has the advantages that: 1) the chaos oscillation can be avoided under an effect of real-time tracking; 2) the hardware device is simply designed; 3) the data are automatically protected after the power is in fault, the chaos real-time detection is continuous, and the reliability is high; and 4) the real-time reliability of the system is high.

Description

(1) Technical field: [0001] The invention belongs to the technical field of wind power system stability, in particular to a chaotic real-time detection system for wind power systems and a working method thereof. (two) background technology: [0002] In recent years, with the gradual expansion of the scale of the wind power system and the trend of grid-connected operation and the intervention of modern power electronic equipment, its dynamic characteristics have become more and more complex, and some nonlinear singular phenomena often appear in the system, and chaos is a nonlinear system. It is a very complex phenomenon caused by the interaction of various parameters in the system. Its appearance will be accompanied by aperiodic, seemingly random, sudden or paroxysmal electromechanical oscillations of the system, which will lead to large-scale damage to the system in severe cases. Disintegration and large-scale blackouts, and because the wind power system is a typical large-s...

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Problems solved by technology

[0002] In recent years, with the gradual expansion of the scale of the wind power system and the trend of grid-connected operation and the intervention of modern power electronic equipment, its dynamic characteristics have become more and more complex, and some nonlinear singular phenomena often appear in the system, and chaos is a nonlinear system. It is a very complex phenomenon caused by the interaction of various parameters in the system. Its appearance will be accompanied by aperiodic, seemingly random, sudden or paroxysmal electromechanical oscillations of the system, which will lead to large-scale damage to the system in severe cases. Disintegration and large-scale blackouts, and because the wind power system is a typical large-scale complex nonlinear system, chaos will also occur under certain conditions, and chaos will affect the stable operation of the wind power system. Therefore, in order to ensure the safety of the wind power system, New methods must be found to detect nonlinear problems to avoid accidents

[0003] For the wind power system in actual operation, it is often difficult for us to obtain an accurate model of the system. In addition, it will be affected by various disturbances during operation, and the parameters in the model will also change. Therefore, the chaotic model based on the continuous system model Criterion cannot be used when detecting and discriminating the chaotic phenomenon of wind power system

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