Converter transformer partial discharge online monitoring method and system based on multi-parameter signals

Abstract

The invention discloses a converter transformer partial discharge on-line monitoring method and system based on multi-parameter signals, and the method comprises the steps: arranging partial discharge defects in a real-type converter transformer, carrying out a partial discharge test, and obtaining different types of discharge original data in the whole process from the start of defect discharge to breakdown; performing signal processing on the different types of discharge original data to obtain different types of discharge conditioning data; calculating the characteristic quantity of different types of discharge conditioning data; and determining a fault early warning type of the converter transformer based on the characteristic quantity. By integrating multi-sensor signals, constructing a multi-dimensional sensing system and combining an intelligent fusion algorithm, the monitoring sensitivity and the early warning timeliness are remarkably improved, and full-life-cycle monitoring and active defense of the insulation defects of the converter transformer can be achieved.

Description

Technical Field

[0001] This invention relates to the field of transformer monitoring technology, and more specifically, to a method and system for online monitoring of partial discharge in converter transformers based on multi-parameter signals. Background Technology

[0002] As the most important main equipment in a converter station, the operating status of the converter transformer directly affects the safety and reliability of the power generation and supply system. When a fault occurs inside the converter transformer, if timely action is not taken, the transformer itself may be damaged due to internal fault pressure surges, or even cause fires or explosions. With the mutual penetration, deep integration, and widespread application of smart grids and the Internet of Things, condition monitoring of converter transformers has become possible. Current online monitoring systems consist of independent dedicated devices that monitor the health characteristics of converter transformers from different angles, focusing on a relatively singular object. Under normal circumstances, they can provide relatively accurate fault diagnosis for specific faults, but they cannot determine the overall condition of the converter transformer.

[0003] From the perspective of integrated monitoring and information, the application level of converter transformer monitoring information is relatively low. Furthermore, considering that the forms and development of converter transformer faults are quite complex and often related to multiple factors, achieving a comprehensive assessment of the converter transformer's condition requires comprehensive and multi-dimensional perception and analysis.

[0004] The existing online monitoring system for converter transformers has the following problems: each parameter is analyzed independently, lacking multi-dimensional data fusion, making it difficult to fully reflect the equipment status; single parameters are easily interfered with, resulting in a high risk of missed or false alarms; traditional partial discharge monitoring devices have long monitoring cycles and cannot capture sudden faults in real time.

[0005] Therefore, there is a need for an online monitoring method and system for partial discharge of converter transformers based on multi-parameter signals. Summary of the Invention

[0006] This invention proposes an online monitoring method and system for partial discharge of converter transformers based on multi-parameter signals, in order to solve the problem of how to monitor partial discharge of converter transformers.

[0007] To address the aforementioned problems, according to one aspect of the present invention, a method for online monitoring of partial discharge in a converter transformer based on multi-parameter signals is provided, the method comprising:

[0008] Partial discharge defects were arranged inside a real-type converter transformer, and partial discharge tests were conducted to obtain raw data of different types of discharges throughout the entire process from the initiation of defect discharge to breakdown.

[0009] Signal processing was performed on raw data of different types of discharge to obtain different types of discharge conditioning data;

[0010] calculating feature quantities of different types of discharge conditioning data;

[0011] determining a fault warning type of the converter transformer based on the feature quantities.

[0012] Preferably, the different types of discharge raw data include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / supersonic partial discharge signals.

[0013] Preferably, the different types of discharge raw data from the beginning of the defect discharge to the breakdown are obtained by:

[0014] ultra-high frequency partial discharge signals from the beginning of the defect discharge to the breakdown are obtained by an in-built ultra-high frequency sensor deployed on the converter transformer;

[0015] high frequency partial discharge signals from the beginning of the defect discharge to the breakdown are obtained by a high frequency current sensor installed at the grounding wire or the bushing;

[0016] acoustic / supersonic partial discharge signals from the beginning of the defect discharge to the breakdown are obtained by a fiber sensor array pre-embedded in the converter transformer.

[0017] Preferably, determining the fault warning type of the converter transformer based on the feature quantities includes:

[0018] for any one signal, when the average value of the amplitude corresponding to the any one signal and the discharge pulse frequency both exceed a preset threshold, it is determined that the coefficient corresponding to the any one signal is 1, otherwise, it is determined that the coefficient corresponding to the any one signal is 0;

[0019] performing weighted summation based on the weight and the coefficient corresponding to each signal to obtain an alarm value;

[0020] comparing the alarm value with a preset fault warning range to determine the fault warning type of the converter transformer.

[0021] Preferably, the method further includes:

[0022] when the fault warning type is a general fault warning, a linkage protection mechanism makes a warning to personnel in the station and focuses on the situation of the converter transformer;

[0023] when the fault warning type is a serious fault warning, the linkage protection mechanism makes a warning to personnel in the station and uses oil chromatographic detection, vibration detection, and grounding current detection to diagnose the converter transformer to determine the operation state of the converter transformer;

[0024] When the fault early warning type is a critical fault early warning, the linkage relay protection device performs a machine tripping process on the converter transformer to remove the faulty converter transformer.

[0025] According to another aspect of the present application, there is provided a multi-parameter signal-based on-line monitoring system for partial discharge of a converter transformer, comprising:

[0026] a data acquisition unit configured to arrange a partial discharge defect inside a real converter transformer, perform a partial discharge test, and acquire different types of discharge raw data in a full process from defect discharge initiation to breakdown;

[0027] a signal conditioning unit configured to perform signal processing on the different types of discharge raw data respectively, and acquire different types of discharge conditioning data;

[0028] a feature quantity calculation unit configured to calculate feature quantities of the different types of discharge conditioning data;

[0029] a fault early warning unit configured to determine a fault early warning type of the converter transformer based on the feature quantities.

[0030] Preferably, the different types of discharge raw data include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / supersonic partial discharge signals.

[0031] Preferably, the data acquisition unit acquires the different types of discharge raw data in a full process from defect discharge initiation to breakdown, including:

[0032] acquiring, by an in-built ultra-high frequency sensor deployed on the converter transformer, ultra-high frequency partial discharge signals in a full process from defect discharge initiation to breakdown;

[0033] acquiring, by a high frequency current sensor installed at a grounding wire or a bushing, high frequency partial discharge signals in a full process from defect discharge initiation to breakdown;

[0034] acquiring, by a fiber sensor array pre-embedded inside the converter transformer, acoustic / supersonic partial discharge signals in a full process from defect discharge initiation to breakdown.

[0035] Preferably, the fault early warning unit determines the fault early warning type of the converter transformer based on the feature quantities, including:

[0036] for any one signal, when the average value of the amplitude of the any one signal and the discharge pulse frequency both exceed a preset threshold value, determining that a coefficient corresponding to the any one signal is 1, otherwise, determining that the coefficient corresponding to the any one signal is 0;

[0037] performing weighted summation based on the weight and the coefficient corresponding to each signal to acquire an alarm value;

[0038] The alarm value is compared with a preset fault early warning range to determine a fault early warning type of the converter transformer.

[0039] Preferably, the system further comprises a protection unit configured to:

[0040] When the fault early warning type is a general fault early warning, the linkage protection mechanism gives an early warning to personnel in the station and focuses on the situation of the converter transformer;

[0041] When the fault early warning type is a serious fault early warning, the linkage protection mechanism gives an early warning to personnel in the station and uses oil chromatographic detection, vibration detection and ground current detection to diagnose the converter transformer to determine the operation state of the converter transformer.

[0042] When the fault early warning type is a critical fault early warning, the linkage protection device gives a machine tripping treatment to the converter transformer to remove the faulty converter transformer.

[0043] Based on another aspect of the present application, the present application provides a computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of any one of the online monitoring methods of partial discharge of a converter transformer based on a multi-parameter signal.

[0044] Based on another aspect of the present application, the present application provides an electronic device comprising:

[0045] The computer readable storage medium described above; and

[0046] One or more processors configured to execute the program in the computer readable storage medium.

[0047] The present application provides an online monitoring method and system of partial discharge of a converter transformer based on a multi-parameter signal, comprising: arranging a partial discharge defect in a real converter transformer, performing a partial discharge test, and obtaining original discharge data of different types in a full process from discharge initiation to breakdown of the defect; respectively processing the original discharge data of different types to obtain processed discharge data of different types; calculating feature quantities of the processed discharge data of different types; and determining a fault early warning type of the converter transformer based on the feature quantities. The present application significantly improves monitoring sensitivity and early warning timeliness by integrating multi-sensor signals to construct a multi-dimensional perception system and combining an intelligent fusion algorithm, and can realize full life cycle monitoring and active defense of insulation defects of the converter transformer. BRIEF DESCRIPTION OF DRAWINGS

[0048] The exemplary embodiments of the present application can be more completely understood in reference to the following drawings:

[0049] Figure 1Flow chart of the method for on-line monitoring of partial discharge of a converter transformer based on multi-parameter signals according to an embodiment of the present application;

[0050] Figure 2 Structure diagram of the multi-parameter partial discharge acquisition measurement system according to an embodiment of the present application;

[0051] Figure 3 Schematic diagram of the early warning strategy and linkage protection mechanism according to an embodiment of the present application;

[0052] Figure 4 Structure schematic diagram of the on-line monitoring system 400 for partial discharge of a converter transformer based on multi-parameter signals according to an embodiment of the present application. DETAILED DESCRIPTION

[0053] Reference will now be made to the drawings to describe the exemplary embodiments of the present application in detail. The present application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and fully convey the scope of the application to those skilled in the art. Like reference numerals refer to like elements throughout the specification. It will be understood that when an element is referred to as being "on" another element, it can be directly on the element or intervening elements can also be present. In addition, terms such as first and second are used herein when claiming certain embodiments of the present application and should not be construed as limiting the scope of the present application unless otherwise specifically made so by reference thereto.

[0054] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0055] The present application provides a method for on-line monitoring of partial discharge of a converter transformer based on multi-parameter signals. The method includes arranging a partial discharge defect inside a real converter transformer, performing a partial discharge experiment by step-up method, simultaneously collecting signals from the start of discharge to breakdown of the defect by using partial discharge ultra-high frequency detection technology, partial discharge high frequency detection technology and built-in optical fiber acoustic detection technology in a partial discharge multi-parameter measurement system, and performing data analysis and processing on the collected signals to realize comprehensive analysis, diagnosis and positioning of the partial discharge signals. The characteristics of the partial discharge signals with the development of the defect are summarized according to the discharge test data of the real transformer, and an early warning strategy is formulated in combination with the discharge law.

[0056] Figure 1 Flow chart of the method for on-line monitoring of partial discharge of a converter transformer based on multi-parameter signals according to an embodiment of the present application. As shown in FIG. 1, the method includes the following steps: Figure 1As shown, the online monitoring method for partial discharge of converter transformers based on multi-parameter signals provided by this invention integrates multi-sensor signals to construct a multi-dimensional sensing system. Combined with an intelligent fusion algorithm, it significantly improves monitoring sensitivity and early warning timeliness, enabling full lifecycle monitoring and proactive defense against insulation defects in converter transformers. The online monitoring method 100 for partial discharge of converter transformers based on multi-parameter signals provided by this invention begins at step 101. In step 101, partial discharge defects are arranged inside a full-scale converter transformer, and a partial discharge test is conducted to obtain raw data of different types of discharge throughout the entire process from the initiation of defect discharge to breakdown. Preferably, the raw data of different types of discharge include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / ultrasonic partial discharge signals.

[0057] Preferably, the acquisition of raw data on different types of discharges throughout the entire process from defect discharge initiation to breakdown includes:

[0058] By using built-in UHF sensors deployed on the converter transformer, UHF partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown.

[0059] High-frequency partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown by a high-frequency current sensor installed at the grounding wire or bushing.

[0060] By using an array of fiber optic sensors embedded inside the converter transformer, acoustic / ultrasonic partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown.

[0061] In step 102, signal processing is performed on the raw discharge data of different types to obtain discharge conditioning data of different types.

[0062] Combination Figure 2 As shown, the partial discharge multi-parameter measurement device in this invention mainly includes: a sensor array, a signal conditioning module, a multi-channel signal synchronous acquisition module, and a data analysis module. Depending on the sensing principle, the system can be further divided into an ultra-high frequency detection module, a high frequency detection module, and a fiber optic acoustic detection module. The partial discharge signals acquired by the sensor modules are conditioned and input into the multi-channel signal synchronous acquisition system, where data analysis, fault warning judgment, and linkage protection mechanisms are performed. This completes the diagnosis of the partial discharge signals.

[0063] Specifically, the working principle of the UHF detection module is as follows: Based on the transient electromagnetic wave signal generated during partial discharge, the high-frequency electromagnetic wave signal is captured by the built-in UHF sensor (300MHz~3GHz band) deployed on the converter transformer. The nanosecond-level pulse signal is digitized in real time using a 5G high-speed data acquisition system. Combined with digital filtering, time-frequency analysis and pattern recognition algorithms, environmental noise is removed and discharge characteristics are extracted, ultimately realizing the location of the discharge signal and intelligent diagnosis of insulation defect types.

[0064] Specifically, the high-frequency detection module works as follows: a high-frequency current sensor (frequency band 100kHz-100MHz) installed on the grounding wire or bushing couples the transient current signal excited by partial discharge. A high-speed acquisition system (sampling rate usually ≥100MS / s) captures microsecond to nanosecond level discharge pulses. Digital filtering is used to suppress broadband interference in the complex electromagnetic environment of the converter station. The pulse amplitude, phase and spectral characteristics are extracted. The discharge type is distinguished by a pattern recognition algorithm. Defect location is achieved based on the multi-sensor time difference method or propagation attenuation model.

[0065] Specifically, the working principle of the fiber optic acoustic detection module is as follows: Through the fiber optic sensor array pre-embedded inside the converter transformer, the acoustic / ultrasonic signals (frequency range of 80kHz-200kHz) generated by partial discharge or mechanical faults are captured in real time. The micro-strain modulation of the fiber optic grating wavelength or the phase change of the scattered light caused by the acoustic waves is used. The acoustic signal is converted into an electrical signal by a high-speed optical demodulation system. Combined with time-frequency analysis, sound source localization algorithm and pattern recognition technology, the amplitude, spectrum and propagation characteristics of the acoustic waves are extracted to distinguish the discharge type and accurately locate the defect location.

[0066] In step 103, characteristic quantities are calculated for different types of discharge conditioning data.

[0067] In step 104, the fault warning type of the converter transformer is determined based on the characteristic quantity.

[0068] Preferably, determining the fault warning type of the converter transformer based on the characteristic quantity includes:

[0069] For any signal, if the average amplitude and discharge pulse frequency of the signal both exceed a preset threshold, the coefficient of the signal is determined to be 1; otherwise, the coefficient of the signal is determined to be 0.

[0070] The alarm value is obtained by weighted summation based on the weight and coefficient corresponding to each signal;

[0071] The alarm value is compared with the preset fault warning range to determine the fault warning type of the converter transformer.

[0072] In this invention, during fault warning judgment, partial discharge is judged based on the average amplitude and discharge pulse frequency characteristics extracted from the ultra-high frequency detection module, the high frequency detection module and the fiber acoustic detection module, and then the warning situation is classified and judged.

[0073] Specifically, for any signal, when the average amplitude and discharge pulse frequency of the signal both exceed a preset threshold, the coefficient of the signal is determined to be 1; otherwise, the coefficient of the signal is determined to be 0. An alarm value is obtained by weighted summation based on the weight and coefficient of each signal. The alarm value is compared with a preset fault warning range to determine the fault warning type of the converter transformer.

[0074] In this invention, when an ultra-high frequency (UHF) signal alarm occurs, a severe fault warning is issued for the converter transformer. If either the UHF signal or the acoustic signal triggers a warning, the converter transformer status changes to a critical fault warning. When a UHF signal alarm occurs, a general fault warning is issued for the converter transformer. If an acoustic signal alarm occurs simultaneously, the converter transformer status changes to a severe fault warning. When an acoustic signal alarm occurs, a general fault warning is issued for the converter transformer. (Combined with...) Figure 3 As shown, the above strategy can be understood as setting the weight of ultra-high frequency signals to 50%, high frequency signals to 25%, fiber optic acoustic signals to 25%, the threshold for general fault warning to 0-30%, the threshold for serious faults to 30%-60%, and the threshold for critical faults to 60%-100%. This invention can also dynamically adjust the weight of each signal, thereby changing the fault warning judgment strategy.

[0075] Preferably, the method further includes:

[0076] When the fault warning type is a general fault warning, the linkage protection mechanism will issue a warning to the personnel in the station and pay special attention to the condition of the converter transformer.

[0077] When the fault warning type is a serious fault warning, the linkage protection mechanism issues a warning to the personnel in the station and uses oil chromatography detection, vibration detection and grounding current detection to diagnose the converter transformer and determine the operating status of the converter transformer.

[0078] When the fault warning type is a critical fault warning, the linkage relay protection device will trip the converter transformer and disconnect the faulty converter transformer.

[0079] In this invention, the converter transformer can also be protected based on the fault warning type according to the linkage protection mechanism. When a general fault warning is detected, the linkage protection mechanism issues a warning to personnel in the station and focuses on the condition of the converter transformer; when a serious fault warning is detected, the linkage protection mechanism issues a warning to personnel in the station and uses detection methods such as oil chromatography, vibration detection, and grounding current detection to diagnose the converter transformer and determine its operating status; when a critical fault warning is detected, the relay protection device is immediately activated to trip the converter transformer and disconnect the faulty converter transformer.

[0080] Compared with existing technologies, the online monitoring method for partial discharge of converter transformers based on multi-parameter signals proposed in this invention establishes a complete online monitoring and early warning system for partial discharge of converter transformers by integrating multi-parameter information such as ultra-high frequency, high frequency, and fiber optic acoustic signals of partial discharge. This significantly improves the accuracy of partial discharge diagnosis and the timeliness of early warning for converter transformers, and has the following significant technical effects:

[0081] 1. Achieve multi-dimensional perception and fusion analysis to improve diagnostic accuracy.

[0082] Traditional partial discharge monitoring methods are mostly based on a single parameter, making them susceptible to interference and prone to biased judgments. This invention fuses multiple signals, including UHF, HF, and acoustic signals, and utilizes multi-dimensional feature extraction and joint analysis techniques to significantly enhance the robustness and anti-interference capability of partial discharge identification, thereby improving the accuracy and reliability of diagnosis.

[0083] 2. Enables real-time online monitoring of partial discharge in converter transformers, improving response speed.

[0084] This invention achieves real-time perception and analysis of partial discharge signals of converter transformers through a high-speed signal acquisition and parallel processing architecture. It can capture signal characteristics in a timely manner in the early stage of discharge, effectively avoid the risk of misjudgment or missed judgment caused by monitoring lag during the fault development process, and improve the timeliness of early warning.

[0085] 3. A tiered early warning and coordinated protection mechanism to achieve proactive defense capabilities.

[0086] Based on the weight and characteristic indicators of the fused signal, this invention sets a reasonable fault early warning classification strategy and dynamically adjusts the operation strategy of the converter transformer through a linkage protection mechanism, from general early warning to severe early warning and then to tripping in critical state, which effectively improves the system's safety protection capability and prevents fault expansion and catastrophic accidents.

[0087] 4. Possesses good engineering adaptability and scalability.

[0088] This invention adopts a modular design concept and is applicable to converter transformers in various converter station projects. It can flexibly deploy different numbers and types of sensors according to the needs of the operating site, and is compatible with existing monitoring systems, possessing good engineering adaptability and system scalability.

[0089] 5. Reveal the evolution law of partial discharge and realize the whole process of fault perception.

[0090] Based on experimental data from real-type converter transformers, and by summarizing the patterns of discharge signals as defects develop, we further improve the model library and pattern recognition algorithm for insulation degradation of converter transformers, providing important data support for subsequent condition assessment and life prediction.

[0091] The following specific examples illustrate the embodiments of the present invention.

[0092] In an embodiment of the invention, the ultra-high frequency and acoustic sensors for the built-in partial discharge signal of the converter transformer are arranged on the long axis of the converter transformer, and the high frequency sensor is arranged at the location of the core grounding wire. The discharge type is set to surface discharge, and a stepped voltage increase method is used to increase the voltage, starting from 5kV and increasing the voltage by 2kV every 1 minute until complete breakdown occurs at 21kV. Figure 2 The multi-parameter partial discharge acquisition and measurement system shown measures the partial discharge signals collected by each sensor, acquires the characteristic signals of the partial discharge, and finally uses, as shown in the figure... Figure 3 The warning strategy and linkage protection mechanism shown make a comprehensive early warning judgment on the partial discharge of the converter transformer.

[0093] Specifically, according to Figure 2 The multi-parameter partial discharge acquisition and measurement system shown measures ultra-high frequency, high frequency, and acoustic signals to determine characteristic quantities such as the average amplitude, discharge pulse frequency, and amplitude change rate of the partial discharge signal. When a relatively large amplitude change rate and discharge pulse frequency are observed, and the average amplitude remains at a high level for a period of time, it is considered that partial discharge has likely occurred. Furthermore, based on the judgments given by each sensor, and after... Figure 3 The illustrated early warning strategy and linkage protection mechanism are used to determine the fault. In this embodiment, a high-frequency partial discharge signal is measured at the beginning of the discharge, and the system issues a general fault warning. As the voltage gradually increases, an acoustic signal issues a partial discharge warning. At this point, both the high-frequency signal and the acoustic signal issue warnings simultaneously, indicating a severe fault warning range, and the fault is upgraded to a severe fault warning. In the tens of seconds before complete breakdown, an ultra-high-frequency signal issues a partial discharge warning. At this point, all three measurement methods issue warnings simultaneously, and the protection device reacts by tripping the circuit breaker to complete the circuit breaker trip, thus protecting the converter transformer.

[0094] Figure 4This is a schematic diagram of the structure of a converter transformer partial discharge online monitoring system 400 based on multi-parameter signals according to an embodiment of the present invention. Figure 4 As shown, the converter transformer partial discharge online monitoring system 400 based on multi-parameter signals provided in this embodiment of the invention includes: a data acquisition unit 401, a signal conditioning unit 402, a characteristic quantity calculation unit 403, and a fault early warning unit 404.

[0095] Preferably, the data acquisition unit 401 is used to arrange partial discharge defects inside a real-type converter transformer, conduct partial discharge tests, and acquire raw data of different types of discharges throughout the entire process from the start of defect discharge to breakdown.

[0096] Preferably, the raw discharge data of different types include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / ultrasonic partial discharge signals.

[0097] Preferably, the data acquisition unit 401 acquires raw data of different types of discharges throughout the entire process from the initiation of defect discharge to breakdown, including:

[0098] By using built-in UHF sensors deployed on the converter transformer, UHF partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown.

[0099] High-frequency partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown by a high-frequency current sensor installed at the grounding wire or bushing.

[0100] By using an array of fiber optic sensors embedded inside the converter transformer, acoustic / ultrasonic partial discharge signals are acquired throughout the entire process from the initiation of defect discharge to breakdown.

[0101] Preferably, the signal conditioning unit 402 is used to perform signal processing on different types of raw discharge data to obtain different types of discharge conditioning data.

[0102] Preferably, the feature quantity calculation unit 403 is used to calculate the feature quantities of different types of discharge conditioning data.

[0103] Preferably, the fault warning unit 404 is used to determine the fault warning type of the converter transformer based on the characteristic quantity.

[0104] Preferably, the fault warning unit 404 determines the fault warning type of the converter transformer based on the characteristic quantity, including:

[0105] For any signal, if the average amplitude and discharge pulse frequency of the signal both exceed a preset threshold, the coefficient of the signal is determined to be 1; otherwise, the coefficient of the signal is determined to be 0.

[0106] The alarm value is obtained by weighted summation based on the weight and coefficient corresponding to each signal;

[0107] The alarm value is compared with the preset fault warning range to determine the fault warning type of the converter transformer.

[0108] Preferably, the system further includes a protection unit for:

[0109] When the fault warning type is a general fault warning, the linkage protection mechanism will issue a warning to the personnel in the station and pay special attention to the condition of the converter transformer.

[0110] When the fault warning type is a serious fault warning, the linkage protection mechanism issues a warning to the personnel in the station and uses oil chromatography detection, vibration detection and grounding current detection to diagnose the converter transformer and determine the operating status of the converter transformer.

[0111] When the fault warning type is a critical fault warning, the linkage relay protection device will trip the converter transformer and disconnect the faulty converter transformer.

[0112] The online monitoring system 400 for partial discharge of converter transformer based on multi-parameter signals of the present invention corresponds to the online monitoring method 100 for partial discharge of converter transformer based on multi-parameter signals of another embodiment of the present invention, and will not be described again here.

[0113] According to another aspect of the present invention, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the steps in a converter transformer partial discharge online monitoring method based on multi-parameter signals.

[0114] According to another aspect of the present invention, the present invention provides an electronic device, comprising:

[0115] The aforementioned computer-readable storage medium; and

[0116] One or more processors for executing a program in the computer-readable storage medium.

[0117] The present invention has been described with reference to a few embodiments. However, it will be apparent to those skilled in the art that other embodiments besides those disclosed above fall equivalently within the scope of the present invention.

[0118] Generally, all terms used in this invention are interpreted according to their ordinary meaning in the art, unless otherwise expressly defined herein. All references to “a / the / the [device, component, etc.]” ​​are openly interpreted as at least one instance of said device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed unless explicitly stated otherwise.

[0119] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0121] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0122] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for partial discharge on-line monitoring of a converter transformer based on a multi-quantity signal, characterized in that, The method comprises: arranging a partial discharge defect inside a real transformer, performing a partial discharge test, and obtaining different types of discharge raw data in the whole process from the start of defect discharge to breakdown; respectively processing the different types of discharge raw data to obtain different types of discharge conditioning data; calculating feature quantities of the different types of discharge conditioning data; based on the feature quantities, determining a fault warning type of the converter transformer.

2. The method of claim 1, wherein, The different types of discharge raw data include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / supersonic partial discharge signals.

3. The method of claim 2, wherein, Obtaining different types of discharge raw data in the whole process from the start of defect discharge to breakdown includes: obtaining ultra-high frequency partial discharge signals in the whole process from the start of defect discharge to breakdown through built-in ultra-high frequency sensors arranged on the converter transformer; obtaining high frequency partial discharge signals in the whole process from the start of defect discharge to breakdown through high frequency current sensors installed at the grounding wire or the bushing; obtaining acoustic / supersonic partial discharge signals in the whole process from the start of defect discharge to breakdown through fiber sensor arrays pre-embedded inside the converter transformer.

4. The method of claim 2, wherein, Based on the feature quantities, determining a fault warning type of the converter transformer includes: for any type of signal, when the average value of the amplitude and the discharge pulse frequency of the any type of signal both exceed a preset threshold, determining that a coefficient corresponding to the any type of signal is 1, otherwise, determining that the coefficient corresponding to the any type of signal is 0; performing weighted summation based on the weight and the coefficient of each type of signal to obtain an alarm value; comparing the alarm value with a preset fault warning range to determine the fault warning type of the converter transformer.

5. The method of claim 1, wherein, The method further comprises: when the fault warning type is a general fault warning, a linkage protection mechanism warns the personnel in the station and focuses on the condition of the converter transformer; when the fault warning type is a serious fault warning, the linkage protection mechanism warns the personnel in the station and diagnoses the converter transformer by using oil chromatography detection, vibration detection, and grounding current detection to determine the operation state of the converter transformer; when the fault warning type is a critical fault warning, a linkage protection device performs a machine tripping process on the converter transformer to remove the faulty converter transformer.

6. A partial discharge on-line monitoring system for a converter transformer based on a multi-quantity signal, characterized by The system comprises: a data acquisition unit that acquires different types of discharge raw data in the whole process from the start of defect discharge to breakdown; a signal conditioning unit that processes the different types of discharge raw data to obtain different types of discharge conditioning data; a feature quantity calculation unit that calculates feature quantities of the different types of discharge conditioning data; a fault warning unit that determines a fault warning type of the converter transformer based on the feature quantities.

7. The system of claim 6, wherein, The different types of discharge raw data include: ultra-high frequency partial discharge signals, high frequency partial discharge signals, and acoustic / supersonic partial discharge signals.

8. The system of claim 7, wherein, The data acquisition unit acquires different types of discharge raw data in the whole process from the start of defect discharge to breakdown by: obtaining ultra-high frequency partial discharge signals in the whole process from the start of defect discharge to breakdown through built-in ultra-high frequency sensors arranged on the converter transformer; The high-frequency partial discharge signals in the whole process from the initial defect discharge to the breakdown are acquired through a high-frequency current sensor installed at the grounding wire or the bushing; The sound wave / ultrasonic partial discharge signals in the whole process from the initial defect discharge to the breakdown are acquired through a fiber sensor array pre-embedded in the converter transformer.

9. The system of claim 7, wherein, The fault early warning unit determines a fault early warning type of the converter transformer based on the characteristic quantity, including: For any kind of signal, when the average value of the amplitude corresponding to the any kind of signal and the discharge pulse frequency both exceed a preset threshold, it is determined that the coefficient corresponding to the any kind of signal is 1, otherwise, it is determined that the coefficient corresponding to the any kind of signal is 0; The alarm value is obtained by weighted summation based on the weight and the coefficient corresponding to each kind of signal. The alarm value is compared with a preset fault early warning range to determine the fault early warning type of the converter transformer.

10. The system of claim 6, wherein, The system further includes a protection unit configured to: When the fault early warning type is a general fault early warning, the linkage protection mechanism makes an early warning to the personnel in the station and focuses on the condition of the converter transformer; When the fault early warning type is a serious fault early warning, the linkage protection mechanism makes an early warning to the personnel in the station and diagnoses the converter transformer by using oil chromatographic detection, vibration detection and grounding current detection to determine the operation state of the converter transformer; When the fault early warning type is a critical fault early warning, the linkage protection device makes a generator tripping treatment to the converter transformer to remove the faulty converter transformer.

11. A computer readable storage medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the steps of the method of any one of claims 1-5.

12. An electronic device, comprising: The program is executed by the processor to implement the steps of the method of any one of claims 1-5. The computer readable storage medium of claim 11; and One or more processors configured to execute the program in the computer readable storage medium.

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