Method for detecting integrity of lightning arrester of wind power generation blade

Abstract

The invention relates to the technical field of wind power generation equipment detection, and discloses a method for detecting the integrity of a lightning arrester of a wind power generation blade. The method includes the following steps that firstly, signal receiving and transmitting equipment is installed at the root of a down lead (the grounding point of the down lead and a hub) of the wind power generation blade lightning arrester, then electric signals are injected, and then the electric signals of the wind power generation blade lightning arrester are collected; carrying out FFT (Fast Fourier Transform) on the acquired time domain signal, and carrying out frequency domain analysis; carrying out time domain analysis on the collected time domain signal; and finally, judging the integrity of the lightning arrester by combining frequency domain and time domain analysis results. According to the integrity detection method for the lightning arrester of the wind power generation blade, the signal can be rapidly analyzed by adopting the FFT technology, the detection time is greatly shortened, so that the detection efficiency is improved, potential problems of the lightning arrester can be more comprehensively found through comprehensive analysis of the frequency domain and the time domain, and the detection accuracy can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of wind power generation equipment detection, and in particular to a method for detecting the integrity of a lightning arrester of a wind power generation blade. Background Art

[0002] Wind power generation refers to the conversion of wind kinetic energy into electrical energy. Wind energy is a clean, pollution-free renewable energy source that has been used by people for a long time, mainly through windmills to pump water, grind flour, etc. People are interested in how to use wind to generate electricity. Using wind power to generate electricity is very environmentally friendly, and the wind energy reserves are huge, so it is increasingly valued by countries around the world. Wind is one of the pollution-free energy sources, and it is inexhaustible. For coastal islands, grassland pastoral areas, mountainous areas and plateau areas that lack water, fuel and have inconvenient transportation, it is very suitable to use wind power generation in accordance with local conditions. There is a lot of potential. Offshore wind power is an important field for the development of renewable energy, an important force to promote the advancement of wind power technology and industrial upgrading, and an important measure to promote the adjustment of energy structure. China is rich in offshore wind energy resources. Accelerating the construction of offshore wind power projects is of great significance to promoting the control of atmospheric haze in coastal areas, adjusting energy structure and transforming the mode of economic development;

[0003] With the rapid development of wind power generation, wind turbine blades, as key components, have extremely important safety performance. Lightning rods are important devices on wind turbine blades for lightning protection. Ensuring the integrity of lightning rods is of great significance to ensuring the safe operation of wind turbines.

[0004] At present, traditional lightning arrester detection methods mainly rely on manual visual inspection or simple electrical testing, which has problems such as low detection efficiency, low accuracy, and difficulty in detecting potential defects. It cannot meet the needs of modern wind farms for efficient and accurate equipment detection. Summary of the invention

[0005] In view of the fact that the above-mentioned existing traditional lightning arrester detection methods mainly rely on manual visual inspection or simple electrical testing, there are problems such as low detection efficiency, low accuracy, and difficulty in discovering potential defects, and they cannot meet the needs of modern wind farms for efficient and accurate equipment detection, the present invention is proposed.

[0006] Therefore, the purpose of the present invention is to provide a method for detecting the integrity of a lightning receptor of a wind turbine blade, which aims to overcome the shortcomings of existing detection methods and achieve efficient, accurate and comprehensive detection of the integrity of the lightning receptor.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for detecting the integrity of a lightning arrester of a wind turbine blade, comprising the following steps:

[0008] S1, first install the signal receiving and transmitting equipment at the root of the down conductor of the wind turbine blade lightning arrester (the grounding point between the down conductor and the hub) and then inject the electrical signal;

[0009] S2, then collect the electrical signal of the lightning receptor of the wind turbine blade;

[0010] S3, then perform FFT transformation on the collected time domain signal and perform frequency domain analysis;

[0011] S4, performing time domain analysis on the simultaneously collected time domain signals;

[0012] S5. Finally, the integrity of the lightning arrester is determined by combining the frequency domain and time domain analysis results.

[0013] As a preferred solution of the wind turbine blade lightning arrester integrity detection method of the present invention, the electrical signal in S1 includes a current signal and a voltage signal.

[0014] As a preferred solution of the wind turbine blade lightning arrester integrity detection method of the present invention, the frequency domain analysis in S2 includes analyzing the spectrum distribution of the frequency domain signal, the amplitude and phase of the frequency components, and calculating the characteristic parameters of the frequency domain signal.

[0015] As a preferred solution of the wind turbine blade lightning arrester integrity detection method of the present invention, the time domain analysis in S3 includes observing the waveform, amplitude change and time characteristics of the time domain signal, and using a time domain signal processing method to remove noise interference.

[0016] As a preferred solution of the wind turbine blade lightning receptor integrity detection method of the present invention, the standard and rule for comprehensively judging the lightning receptor integrity in S4 are formulated in combination with the frequency domain and time domain analysis results.

[0017] The beneficial effects of the present invention are as follows: by adopting FFT technology, the signal can be quickly analyzed, which greatly shortens the detection time and thus improves the detection efficiency; through comprehensive analysis in the frequency domain and the time domain, potential problems of the lightning rod can be more comprehensively discovered, which can improve the accuracy of detection; at the same time, the present method does not require direct contact with the lightning rod, and reduces damage to the equipment and safety risks in the detection process through non-contact detection; it can also realize real-time monitoring of the lightning rod, discover problems in time and take corresponding maintenance measures to ensure the safe operation of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0019] Figure 1 The present invention is a schematic flow chart of a method for detecting the integrity of a lightning arrester on a wind turbine blade. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0022] Reference Figure 1 , as an embodiment of the present invention, provides a method for detecting the integrity of a lightning receptor of a wind power blade, the method for detecting the integrity of a lightning receptor of a wind power blade comprising the following steps:

[0023] S1, first install the signal receiving and transmitting equipment at the root of the down conductor of the wind turbine blade lightning arrester (the grounding point between the down conductor and the hub) and then inject the electrical signal;

[0024] S2, then collect the electrical signal of the lightning receptor of the wind turbine blade;

[0025] S3, then perform FFT transformation on the collected time domain signal and perform frequency domain analysis;

[0026] S4, performing time domain analysis on the simultaneously collected time domain signals;

[0027] S5. Finally, the integrity of the lightning arrester is determined by combining the frequency domain and time domain analysis results.

[0028] The electrical signal in S1 includes a current signal and a voltage signal.

[0029] The frequency domain analysis in S2 includes analyzing the spectrum distribution of the frequency domain signal, the amplitude and phase of the frequency components, and calculating the characteristic parameters of the frequency domain signal.

[0030] The time domain analysis in S3 includes observing the waveform, amplitude change and time characteristics of the time domain signal, and using a time domain signal processing method to remove noise interference.

[0031] The standard and rule for comprehensively judging the integrity of the lightning arrester in S4 are formulated by combining the analysis results of the frequency domain and the time domain.

[0032] During use:

[0033] Signal acquisition

[0034] First, the signal transceiver equipment is installed at the root of the down conductor of the wind turbine blade lightning arrester (the grounding point between the down conductor and the hub). At the same time, the selection of the signal transceiver equipment should take into account its accuracy, response speed and anti-interference ability;

[0035] Then determine the acquisition frequency and number of sampling points to ensure that the signal changes during the operation of the lightning arrester can be accurately captured;

[0036] Frequency Domain Analysis

[0037] First, perform FFT transformation on the collected time domain signal to obtain the frequency domain signal;

[0038] Then analyze the spectrum distribution of the frequency domain signal to see if there are any abnormal frequency components or amplitude changes. For example, if a high-amplitude signal with a specific frequency appears, it may indicate that there is a partial discharge or other fault in the lightning arrester.

[0039] Finally, the characteristic parameters of the frequency domain signal, such as power spectrum density and frequency center of gravity, are calculated to further determine the state of the lightning receptor.

[0040] Time Domain Analysis

[0041] First, observe the waveform of the time domain signal to check whether there are sudden changes, oscillations, or abnormal amplitude changes;

[0042] Then analyze the time characteristics of the time domain signal, such as rise time, fall time, duration, etc., to determine whether the response of the lightning arrester is normal;

[0043] Finally, time domain signal processing methods, such as filtering and peak detection, can be used to remove noise interference and highlight the key features in the signal.

[0044] Comprehensive judgment

[0045] The results of frequency domain and time domain analysis can be combined to develop standards and rules for judging the integrity of the lightning arrester. For example, if both frequency domain and time domain analysis show abnormal characteristics, it can be determined that the lightning arrester is defective;

[0046] Based on the judgment results, a test report is generated, including the status of the lightning arrester, possible problems and recommended maintenance measures.

[0047] By adopting FFT technology, the signal can be analyzed quickly, which greatly shortens the detection time and improves the detection efficiency. Through the comprehensive analysis of frequency domain and time domain, the potential problems of the lightning rod can be discovered more comprehensively, which can improve the accuracy of detection. At the same time, this method does not require direct contact with the lightning rod. Through non-contact detection, it reduces damage to the equipment and safety risks in the detection process. It can also realize real-time monitoring of the lightning rod, discover problems in time and take corresponding maintenance measures to ensure the safe operation of the wind turbine.

[0048] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A wind turbine blade lightning arrester integrity detection method, characterized in that: The following steps are involved: S1, first install the signal receiving and transmitting equipment at the root of the down conductor of the wind turbine blade lightning arrester (the grounding point between the down conductor and the hub) and then inject the electrical signal; S2, then collect the electrical signal of the lightning receptor of the wind turbine blade; S3, then perform FFT transformation on the collected time domain signal and perform frequency domain analysis; S4, performing time domain analysis on the simultaneously collected time domain signals; S5. Finally, the integrity of the lightning arrester is determined by combining the frequency domain and time domain analysis results.

2. The wind turbine blade lightning arrester integrity detection method according to claim 1, characterized in that: The electrical signal in S1 includes a current signal and a voltage signal.

3. The wind turbine blade lightning arrester integrity detection method according to claim 2, characterized in that: The frequency domain analysis in S2 includes analyzing the spectrum distribution of the frequency domain signal, the amplitude and phase of the frequency components, and calculating the characteristic parameters of the frequency domain signal.

4. The wind turbine blade lightning arrester integrity detection method according to claim 3, characterized in that: The time domain analysis in S3 includes observing the waveform, amplitude change and time characteristics of the time domain signal, and using a time domain signal processing method to remove noise interference.

5. The wind turbine blade lightning arrester integrity detection method according to claim 4, characterized in that: The standard and rule for comprehensively judging the integrity of the lightning arrester in S4 are formulated by combining the analysis results of the frequency domain and the time domain.

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