Partial discharge on-line detection method, device, system and equipment for lightning arrester and medium
By acquiring the discharge counting device signal of the surge arrester and combining it with calibration data to calculate the partial discharge quantity, the problem of real-time detection of the insulation status of the surge arrester was solved, and efficient and accurate live detection was achieved.
Patent Information
- Application Number
- CN202310306539.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-27
- Publication Date
- 2026-01-30
- Estimated Expiration
- 2043-03-27
AI Technical Summary
Existing methods for detecting the insulation status of surge arresters require power outages or can only monitor the number of discharges, and cannot detect the insulation status in real time.
By acquiring the amplitude of the first pulse signal output by the discharge counting device, and combining it with calibration data to calculate the equivalent coefficient of the partial discharge amplitude, partial discharge detection is performed using non-spatial propagation signals, including signal conditioning and analog-to-digital conversion, and the discharge quantity is determined by analyzing the threshold.
It enables efficient detection of insulation defects in surge arresters during operation, reduces fault location steps, improves the accuracy and convenience of detection, and complies with current standards.
Smart Images

Figure CN116500389B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method, apparatus, system, equipment, and medium for detecting partial discharge in surge arresters, belonging to the field of surge arrester testing technology. Background Technology
[0002] Currently, the common method for detecting the insulation status of surge arresters is the DC leakage current detection method. This method can effectively reflect the insulation status of surge arresters. However, in actual operation, it requires the substation to be completely or partially de-energized, and the high-voltage busbar and grounding wire must be disconnected before it can be implemented. The overall operation process is extremely complicated. Another method for detecting the insulation status of surge arresters is the traditional live-line detection method (the detection principle includes the ultra-high frequency method, ultrasonic method and high-frequency current method). This method can only monitor the number of discharges online and reflect the remaining life of the overall surge arrester, but it cannot detect its insulation status. Summary of the Invention
[0003] In view of this, the present invention provides a method, device, system, computer equipment and storage medium for detecting partial discharge in surge arresters, which can be directly applied to the partial discharge detection of surge arresters in operation and can efficiently detect insulation defects in surge arresters in operation.
[0004] The first objective of this invention is to provide a method for detecting partial discharge in a surge arrester.
[0005] The second objective of this invention is to provide a device for detecting partial discharge charge in a surge arrester.
[0006] The third objective of this invention is to provide a partial discharge detection system for surge arresters.
[0007] The fourth object of the present invention is to provide a computer device.
[0008] The fifth object of the present invention is to provide a storage medium.
[0009] The first objective of this invention can be achieved by adopting the following technical solution:
[0010] A method for detecting partial discharge in a surge arrester, the method comprising:
[0011] The amplitude V of the first pulse signal is obtained. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0012] Calculate the partial discharge amplitude equivalent coefficient k based on the calibration data;
[0013] The partial discharge magnitude is calculated based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0014] Preferably, the original signal is obtained based on the voltage division principle of the equivalent circuit of the surge arrester and the discharge counting device.
[0015] Preferably, the process of generating the amplitude V of the first pulse signal includes:
[0016] The original signal is split into two paths. One path is conditioned to obtain the first pulse signal, and the other path is conditioned to obtain the power frequency synchronization signal.
[0017] Analog-to-digital conversion is performed on the first pulse signal and the power frequency synchronization signal;
[0018] Using the 0° point of the analog-to-digital converted power frequency synchronization signal as the boundary, the first pulse signal after analog-to-digital conversion is extracted to obtain the front-end signal and the back-end signal;
[0019] Based on the front-end signal and the back-end signal, the amplitude V of the first pulse signal is obtained according to the analysis threshold and the continuous sampling method.
[0020] Preferably, the step of obtaining the amplitude V of the first pulse signal based on the front-end signal and the back-end signal, according to the analysis threshold and the continuous sampling method, includes:
[0021] Read the subsequent signal sequentially. If the values of n consecutive sampling points are all greater than the analysis threshold, then the maximum value among the n sampling points is taken as the amplitude V of the first pulse signal.
[0022] Read the preceding signal sequentially. If the values of n consecutive sampling points are all greater than the analysis threshold, then the maximum value among the n sampling points is taken as the amplitude V of the first pulse signal.
[0023] Where n is an integer greater than 0;
[0024] After obtaining the amplitude V of the first pulse signal, the position corresponding to the amplitude V of the first pulse signal is obtained.
[0025] Preferably, the process of recording and acquiring the calibration data includes:
[0026] When the surge arrester is tested using a standard partial discharge power supply
[0027] Record the amplitude V of the second pulse signal output by the standard partial discharge power supply. std_1 The first standard signal is collected at both ends of the discharge counting device;
[0028] Record the amplitude V of the third pulse signal output from the standard partial discharge power supply. std_2 The second standard signal is collected at both ends of the discharge counting device;
[0029] Based on the first and second standard signals, the amplitude V of the fourth pulse signal of partial discharge is obtained respectively. mer_1 and the amplitude V of the fifth pulse signal mer_2 ;
[0030] The equivalent coefficient k of the partial discharge amplitude is calculated based on the calibration data, as shown in the following formula:
[0031]
[0032] Preferably, before calculating the partial discharge amplitude equivalent coefficient k based on the calibration data, the method further includes: determining whether the surge arrester has experienced partial discharge based on the amplitude V of the first pulse signal; if so, calculating the partial discharge amplitude equivalent coefficient k.
[0033] The second objective of this invention can be achieved by adopting the following technical solution:
[0034] A surge arrester partial discharge energization detection device, the device comprising:
[0035] The first acquisition module is used to acquire the amplitude V of the first pulse signal. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0036] The second acquisition and first calculation module is used to calculate the partial discharge amplitude equivalent coefficient k based on the calibration data;
[0037] The second calculation module is used to calculate the amount of partial discharge based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0038] The third objective of this invention can be achieved by adopting the following technical solution:
[0039] A surge arrester partial discharge detection system, the system comprising a discharge counting device, a partial discharge detection device, and a host computer connected in sequence;
[0040] A partial discharge detection device is used to implement the above-mentioned method for detecting partial discharge in surge arresters.
[0041] Preferably, the partial discharge detection device includes a first port of an overvoltage protection module, a high-pass filter module, a first band-pass filter module, a first waveform conditioning module, and a signal acquisition module connected in sequence, and a second port of an overvoltage protection module, a low-pass filter module, a second band-pass filter module, a second waveform conditioning module, and a signal acquisition module connected in sequence.
[0042] The signal acquisition module is connected to the processing unit, and the processing unit is connected to the first communication module.
[0043] The processing unit is used to implement the above-mentioned method for detecting partial discharge of surge arresters.
[0044] The fourth objective of this invention can be achieved by adopting the following technical solution:
[0045] A computer device includes a processor and a memory for storing a processor-executable program, wherein when the processor executes the program stored in the memory, it implements the above-described method for detecting partial discharge of a surge arrester.
[0046] The fifth objective of this invention can be achieved by adopting the following technical solution:
[0047] A storage medium storing a program, which, when executed by a processor, implements the above-described method for detecting partial discharge in a surge arrester.
[0048] The present invention has the following advantages over the prior art:
[0049] 1. The partial discharge detection device provided in this embodiment of the invention is used to acquire the amplitude V of a first pulse signal, which is obtained from the original signal output by a discharge counting device connected to a surge arrester; based on calibration data, the partial discharge amplitude equivalent coefficient k is calculated; based on the first pulse signal amplitude V and the partial discharge amplitude equivalent coefficient k, the partial discharge quantity is calculated; it can be directly applied to the partial discharge detection of surge arresters in operation, and can efficiently detect insulation defects in surge arresters in operation;
[0050] 2. The partial discharge detection device provided in this embodiment of the invention directly acquires signals at both ends of the discharge counter, reducing the sensor component. At the same time, it directly locates the surge arrester where partial discharge occurs, reducing the fault location component. It has a wider range of applications and is more convenient to operate.
[0051] 3. By employing non-spatial propagation signals, the embodiments of the present invention can reduce the probability of device misjudgment. In addition, the non-spatial propagation signals include information from the power frequency signal, and accurate power frequency synchronization signals can provide more accurate results for subsequent PRPD / PRPS spectrum analysis. It should be noted that spatial propagation signals refer to electromagnetic wave signals and ultrasonic signals.
[0052] 4. The embodiments of the present invention include a calibration process to achieve data calibration after live testing, meet current standards, obtain more authoritative test results, and accurately grasp the insulation status of the surge arrester. Attached Figure Description
[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.
[0054] Figure 1 This is a diagram illustrating the installation method of the surge arrester and discharge counter according to Embodiment 1 of the present invention.
[0055] Figure 2 This is a structural block diagram of the surge arrester partial discharge live detection system according to Embodiment 1 of the present invention.
[0056] Figure 3 This is a structural block diagram of the partial discharge detection device according to Embodiment 1 of the present invention.
[0057] Figure 4 This is a circuit diagram of the signal conditioning device in Embodiment 1 of the present invention.
[0058] Figure 5 This is a flowchart of the partial discharge detection method for surge arresters according to Embodiment 1 of the present invention.
[0059] Figure 6 This is a circuit diagram of the surge arrester and discharge counter according to Embodiment 1 of the present invention.
[0060] Figure 7 This is a schematic diagram of the wiring of the measurement link in Embodiment 1 of the present invention.
[0061] Figure 8 This is a schematic diagram of the wiring for the calibration stage in Embodiment 1 of the present invention.
[0062] Figure 9 This is a structural block diagram of the surge arrester partial discharge energized detection device according to Embodiment 2 of the present invention.
[0063] Figure 10 This is a structural block diagram of the computer device according to Embodiment 3 of the present invention. Detailed Implementation
[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0065] like Figure 1As shown, currently, a discharge counter is often connected in series between the low-voltage end of the surge arrester and the ground wire to count the number of discharges under overvoltage conditions. The number of discharges is usually used to assess the service life of the surge arrester. However, this method cannot detect the insulation status of the surge arrester in real time. Therefore, this invention provides a method, device, system, computer equipment, and storage medium for detecting partial discharge in surge arresters. This method can be directly applied to the partial discharge detection of surge arresters in operation, and can efficiently detect potential insulation defects in operating surge arresters.
[0066] Example 1:
[0067] like Figure 2 As shown, this embodiment provides a surge arrester partial discharge live detection system. The system includes a discharge counting device, a partial discharge detection device, and a host computer connected in sequence. The partial discharge detection device is used to implement the surge arrester partial discharge live detection method of this embodiment.
[0068] like Figure 3 As shown, the partial discharge detection device includes a signal conditioning device, a signal acquisition device, and a signal analysis device.
[0069] 1. The signal conditioning device includes an overvoltage protection module, a high-pass filter module, a first band-pass filter module (band-pass filter module 1), a first waveform conditioning module (waveform conditioning module 1), a low-pass filter module, a second band-pass filter module (band-pass filter module 2), and a second waveform conditioning module (waveform conditioning module 2). The circuit structure of the signal conditioning device is referenced below. Figure 4 .
[0070] Specifically, the overvoltage protection module obtains the original signal from both ends of the discharge counter, and its output can be divided into two paths, namely the first path and the second path. The overvoltage protection module can prevent the impact of sudden high voltage signals on subsequent modules, thereby protecting the subsequent modules.
[0071] The first signal output from the overvoltage protection module is connected to a high-pass filter module to filter out the power frequency and harmonic components in the signal. The low cutoff frequency of the high-pass filter module is generally greater than 1kHz and less than 10kHz. The output of the high-pass filter module is connected to a band-pass filter module 1. The passband range of the band-pass filter module 1 is 100kHz-500kHz, which is used to acquire effective partial discharge pulse signals within this frequency band. The output of the band-pass filter module 1 is connected to a waveform conditioning module 1. The waveform conditioning module 1 detects the partial discharge pulse signal and widens the pulse width of the pulse signal to reduce the sampling rate of the subsequent signal acquisition module. Under normal circumstances, the waveform conditioning module 1 adjusts the pulse width of the waveform to the range of 8μs-12μs.
[0072] The second signal output from the overvoltage protection module is connected to the low-pass filter module to filter out high-frequency pulse signals. The high cutoff frequency of the low-pass filter module is generally greater than 1kHz and less than 10kHz. The output of the low-pass filter module is connected to the band-pass filter module 2. The passband range of the band-pass filter module 2 is 20Hz-80Hz, which is used to obtain the power frequency component in the detection signal. The output of the band-pass filter module 2 is connected to the waveform conditioning module 2. The waveform conditioning module 2 conditions the power frequency signal. Under normal circumstances, the waveform conditioning module 2 directly amplifies the input signal to saturation and conditions it into a square wave.
[0073] It should be noted that in this embodiment, the power frequency signal can also be called the "power frequency synchronization signal"; all surge arresters are metal oxide surge arresters.
[0074] 2. The signal acquisition device includes a signal acquisition module. The sampling frequency f of the signal acquisition module is not less than 1MS / s. The signal acquisition module has the function of synchronous acquisition of two sampling channels. One sampling channel samples the conditioned partial discharge pulse signal and the acquired digital signal is denoted as P[n]. The other sampling channel samples the conditioned power frequency signal and the acquired digital signal is denoted as G[n]. n represents the number of sampling points.
[0075] 3. The signal analysis device includes a microprocessor (MCU) and a first communication module. The microprocessor reads signals P[n] and G[n] in real time and performs real-time analysis to obtain the analysis results. The first communication module transmits the analysis results to the host computer.
[0076] The microprocessor is used to implement the surge arrester partial discharge live detection method of this embodiment.
[0077] It is worth noting that the signal analysis device and the signal acquisition module can be integrated together. For example, the analog-to-digital conversion function of the STM32H750VBT6 microcontroller can be used to perform the conversion. The microcontroller can then directly analyze the converted data. The analysis method includes the following steps:
[0078] S11. Obtain the 0° position of G[n] during the ascent process.
[0079] In this step, one point is extracted from every 10 sampling points to reconstruct the power frequency signal, denoted as G'[n]. Starting from the starting point of G'[n], two sampling points are taken consecutively. When the product of the two sampling points is less than or equal to 0 and the value of the second sampling point is greater than the value of the first sampling point, the position of the 0° point is searched. This position of the 0° point is multiplied by 10 to obtain the 0° position of the power frequency signal.
[0080] S12. Using the 0° point of S11, intercept P[n] to obtain P1[n] and P2[n].
[0081] In this step, P1[n] represents the later signal and P2[n] represents the earlier signal.
[0082] It should be noted that the partial discharge spectrum is based on the power frequency cycle, with the starting point being the zero-degree position of the power frequency signal. However, the signal P[n] acquired during signal acquisition is not necessarily within a complete power frequency cycle, but includes a portion of the previous cycle and a portion of the next cycle. Therefore, segmented processing is required.
[0083] S13. Set the analysis threshold.
[0084] S14. Read the values of P1[n] sequentially. When the values of 5 consecutive sampling points are greater than the analysis threshold, record the maximum value among these 5 sampling points as the pulse amplitude and record the position corresponding to the pulse amplitude. The pulse amplitude and its corresponding position are the analysis results.
[0085] S15. Read the values of P2[n] sequentially. When the values of 5 consecutive sampling points are greater than the analysis threshold, record the maximum value among these 5 sampling points as the pulse amplitude and record the position corresponding to the pulse amplitude. Subtract the position corresponding to the pulse amplitude from f / 50 to obtain the new corresponding position of the pulse amplitude. This pulse amplitude and its new corresponding position are the analysis results.
[0086] The host computer consists of a handheld smart terminal and a second communication module.
[0087] Specifically, the handheld smart terminal is generally a tablet or smartphone; the first communication module (communication module 1) and the second communication module (communication module 2) communicate point-to-point; wired communication can be used, such as serial bus, USB bus, etc., or wireless communication can be used, such as Bluetooth, Zigbee, etc. The analysis results obtained by the first and second communication modules are stored and displayed in the handheld smart terminal, specifically in the form of PRPD / PRPS graphs.
[0088] like Figure 5 As shown in the figure, this embodiment provides a method for detecting partial discharge in a surge arrester, which includes the following steps:
[0089] S501. Obtain the amplitude V of the first pulse signal. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0090] like Figure 6 As shown, the original signal is obtained based on the voltage division principle of the equivalent circuit of the surge arrester and the discharge counting device.
[0091] like Figure 7 As shown, the original signal is acquired at both ends of the discharge counter.
[0092] The generation process (detection stage) of the first pulse signal amplitude V includes:
[0093] S21. The original signal is divided into two paths. One path is conditioned to obtain the first pulse signal, and the other path is conditioned to obtain the power frequency synchronization signal.
[0094] S22. Perform analog-to-digital conversion on the first pulse signal and the power frequency synchronization signal.
[0095] S23. Using the 0° point of the power frequency synchronization signal after analog-to-digital conversion as the boundary, extract the first pulse signal after analog-to-digital conversion to obtain the front-end signal and the back-end signal.
[0096] S24. Based on the front-end signal and the back-end signal, the amplitude V of the first pulse signal is obtained according to the analysis threshold and the continuous sampling method.
[0097] This step specifically includes:
[0098] S241. Read the subsequent signal sequentially. If the values of n consecutive sampling points are all greater than the analysis threshold, then take the maximum value among the n sampling points as the amplitude V of the first pulse signal.
[0099] S242. Read the preceding signal sequentially. If the values of n consecutive sampling points are all greater than the analysis threshold, then take the maximum value among the n sampling points as the amplitude V of the first pulse signal.
[0100] In S241~S242, n is an integer greater than 0.
[0101] S243. Obtain the position corresponding to the amplitude V of the first pulse signal.
[0102] S241~S243 can be referenced from S14~S15.
[0103] S502. Calculate the equivalent coefficient k of partial discharge amplitude based on the calibration data.
[0104] like Figure 8 As shown, based on Figure 7 The scene shown depicts the on-site setup of a surge arrester and a discharge counter. A standard partial discharge pulse source (referred to as a "standard partial discharge power source") is clamped between the two ends of a surge arrester of the same model, meaning the surge arrester is being tested using a standard partial discharge power source.
[0105] The process of recording and collecting calibration data includes:
[0106] When the surge arrester is tested using a standard partial discharge power supply
[0107] S31. Record the amplitude V of the second pulse signal output by the standard partial discharge power supply. std_1The first standard signal is collected at both ends of the discharge counting device.
[0108] S32. Record the amplitude V of the third pulse signal output by the standard partial discharge power supply. std_2 The second standard signal is collected at both ends of the discharge counting device.
[0109] In this step, the amplitude of the third pulse signal is different from that of the second pulse signal.
[0110] S33. Based on the first standard signal and the second standard signal, the amplitude V of the fourth pulse signal of partial discharge is obtained respectively. mer_1 and the amplitude V of the fifth pulse signal mer_2 .
[0111] This step can be referenced from S21 to S24.
[0112] In this embodiment, the equivalent coefficient k of the partial discharge amplitude is calculated based on the calibration data, as follows:
[0113]
[0114] S503. Calculate the partial discharge amount based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0115] In this step, the amplitude V of the first pulse signal is divided by the equivalent coefficient k of the partial discharge amplitude to obtain the partial discharge amount; the partial discharge amount is displayed through a handheld smart terminal.
[0116] For the detection process, k = 1 is set.
[0117] Example 1: The partial discharge detection device first acquires the raw signal, and then makes a preliminary judgment based on the acquired signal to determine whether the surge arrester has experienced partial discharge. If the surge arrester has experienced partial discharge, the partial discharge detection device will alarm and notify relevant personnel to carry out the calibration test. The calibration process includes the recording and acquisition of calibration data and S502. If the surge arrester has not experienced partial discharge, the operation will end or monitoring will continue.
[0118] The methods for determining whether a surge arrester has experienced partial discharge include: threshold judgment and / or spectrum analysis.
[0119] Example 2: The partial discharge detection device first stores the equivalent coefficient k corresponding to the calibration data, and then tests multiple surge arresters in a certain area. If one or more of the tested surge arresters experience partial discharge, the faulty surge arrester is located through the partial discharge detection device, and its partial discharge quantity is obtained. It should be noted that the surge arrester model used in the calibration data is consistent with the surge arrester model being tested.
[0120] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware, and the corresponding program can be stored in a computer-readable storage medium.
[0121] It should be noted that although the method operations of the above embodiments are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. On the contrary, the order of execution of the described steps may be changed. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.
[0122] Example 2:
[0123] like Figure 9 As shown in the figure, this embodiment provides a partial discharge detection device for surge arresters. The device includes a first acquisition module 901, a second acquisition and first calculation module 902, and a second calculation module 903. The specific functions of each module are as follows:
[0124] The first acquisition module 901 is used to acquire the amplitude V of the first pulse signal. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0125] The second acquisition and first calculation module 902 is used to calculate the partial discharge amplitude equivalent coefficient k based on the calibration data;
[0126] The second calculation module 903 is used to calculate the partial discharge amount based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0127] Example 3:
[0128] like Figure 10 As shown, this embodiment provides a computer device, which includes a processor 1002, a memory, an input device 1003, a transceiver 1004, and a network interface 1005 connected via a system bus 1001. The processor 1002 provides computing and control capabilities. The memory includes a non-volatile storage medium 1006 and internal memory 1007. The non-volatile storage medium 1006 stores an operating system, computer programs, and a database. The internal memory 1007 provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium 1006. When the computer program is executed by the processor 1002, it implements the surge arrester partial discharge energization detection method of Embodiment 1 above, as follows:
[0129] The amplitude V of the first pulse signal is obtained. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0130] Calculate the partial discharge amplitude equivalent coefficient k based on the calibration data;
[0131] The partial discharge magnitude is calculated based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0132] Example 4:
[0133] This embodiment provides a storage medium, which is a computer-readable storage medium, storing a computer program. When the computer program is executed by a processor, it implements the surge arrester partial discharge energization detection method of Embodiment 1 above, as follows:
[0134] The amplitude V of the first pulse signal is obtained. The amplitude V of the first pulse signal is obtained based on the original signal output by the discharge counting device, which is connected to the surge arrester.
[0135] Calculate the partial discharge amplitude equivalent coefficient k based on the calibration data;
[0136] The partial discharge magnitude is calculated based on the amplitude V of the first pulse signal and the equivalent coefficient k of the partial discharge amplitude.
[0137] It should be noted that the computer-readable storage medium in this embodiment can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.
[0138] In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this embodiment, the computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable storage medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable storage medium can be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.
[0139] The computer-readable storage medium described above can be used to write computer programs for executing this embodiment in one or more programming languages or combinations thereof. These programming languages include object-oriented programming languages—such as Java, Python, and C++—and conventional procedural programming languages—such as C or similar programming languages. The program can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0140] In summary, the embodiments of the present invention can be directly applied to the partial discharge detection of surge arresters in operation, and can efficiently detect insulation hazards in surge arresters in operation.
[0141] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, shall fall within the scope of protection of the present invention.
Claims
1. A method for partial discharge live detection of a surge arrester, characterized in that, The method comprises: The method comprises: The first pulse signal amplitude V is obtained according to an original signal output by a discharge counting device connected with the lightning arrester. The first pulse signal amplitude V is obtained according to an original signal output by a discharge counting device connected with the lightning arrester. The original signal is divided into two paths, one path of signals is conditioned to obtain the first pulse signal, and the other path of signals is conditioned to obtain the power frequency synchronization signal. The first pulse signal and the power frequency synchronization signal are subjected to analog-to-digital conversion. The 0° point position of the analog-to-digital converted power frequency synchronization signal is taken as a boundary to intercept the analog-to-digital converted first pulse signal, thereby obtaining a front section signal and a rear section signal. The first pulse signal amplitude V is obtained based on the front section signal and the rear section signal according to an analysis threshold and a continuous sampling mode. record the second pulse signal amplitude V outputted by the partial discharge source std_1 , collect the first standard signal between the discharge counting device record the third pulse signal amplitude V output by the partial discharge source std_2 collect the second standard signal at both ends of the discharge counting device According to the first standard signal and the second standard signal, fourth pulse signal amplitudes V mer_1 and fifth pulse signal amplitudes V mer_2 of the partial discharge are obtained respectively The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data as follows:
2. The method of claim 1, wherein, The local discharge amplitude equivalent coefficient k is calculated according to the calibration data.
3. The method of claim 1, wherein, The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data.
4. The method of claim 1, wherein, The local discharge amplitude equivalent coefficient k is calculated according to the calibration data.
5. A partial discharge live detection device for a surge arrester, characterized in that The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. record the second pulse signal amplitude V of the partial discharge source output std_1 , collect the first standard signal between the discharge counting device record the third pulse signal amplitude V output by the partial discharge source std_2 collect the second standard signal at both ends of the discharge counting device According to the first standard signal and the second standard signal, a fourth pulse signal amplitude V mer_1 of the partial discharge is obtained respectively mer_2 ; The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient k is calculated according to the calibration data. The local discharge amplitude equivalent coefficient 6. A partial discharge live detection system for a surge arrester, characterized in that The system comprises a discharge counting device, a partial discharge detection device and a host computer connected in sequence. The partial discharge detection device is used to implement the method of any one of claims 1-4.
7. A computer device comprising a processor and a memory for storing a processor executable program, characterized in that, The processor implements the method of any one of claims 1-4 when executing the program stored in the memory.
8. A storage medium storing a program, characterized by comprising: The program is executed by the processor to implement the method of any one of claims 1-4.
Citation Information
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