Wiring and grounding optimization method for reducing local discharge of external construction frequency alternating current test and related device

Abstract

The invention discloses a wiring and grounding optimization method, a wiring and grounding optimization device, wiring and grounding optimization equipment and a computer readable storage medium for reducing local discharge of an external construction frequency alternating current test, and the method comprises the steps: collecting the configuration information of a test system, and building a topological model comprising equipment nodes, connection paths and grounding nodes; secondly, initial partial discharge signals are collected through excitation testing, characteristic parameters such as the partial discharge amount, the pulse repetition rate and phase distribution are recorded, and phase distribution analysis, pulse waveform analysis and correlation positioning analysis are conducted on the partial discharge signals to recognize the source type and the suspected position of partial discharge; and a configuration scheme including grounding point position optimization, connection wire optimization, equipment position optimization and auxiliary measures is generated by combining a preset optimization rule base, configuration adjustment is executed, and it is ensured that the partial discharge level meets a target threshold value through closed-loop verification.

Description

Technical Field

[0001] This invention belongs to the field of electrical equipment insulation testing technology, and more specifically, relates to a wiring and grounding optimization method for reducing the partial discharge of AC test equipment at external construction frequency, a wiring and grounding optimization device for reducing the partial discharge of AC test equipment at external construction frequency, a wiring and grounding optimization device, and a computer-readable storage medium. Background Technology

[0002] External frequency AC withstand voltage testing is an important method for detecting the insulation performance of power equipment such as power cables, transformers, and GIS switchgear. Simultaneous partial discharge measurement during the withstand voltage test can effectively assess the insulation status of the equipment under test. However, the test system itself (including the test transformer, voltage regulator, coupling capacitor, measuring impedance, connecting wires, and grounding circuit) generates a certain amount of background partial discharge signal. When this self-generated partial discharge level is high, it can interfere with the partial discharge measurement results of the equipment under test, making it impossible to accurately determine the true insulation status of the equipment.

[0003] In related technologies, reducing the partial discharge (PD) of the test system itself mainly relies on two methods: one is to use specialized equipment such as low PD test transformers and low PD coupling capacitors, but such equipment is expensive and it is difficult to completely eliminate the influence of environmental factors under field test conditions; the other is to rely on the experience of test personnel to manually adjust the wiring method, grounding point location, and shielding measures, but this method is inefficient, the adjustment results vary from person to person, and it lacks systematicity and repeatability, making it difficult to quickly find the optimal configuration in complex field environments. Neither of the above two methods can automatically analyze and provide the optimal wiring and grounding scheme based on the current system configuration and field conditions before or during the test.

[0004] Therefore, how to automatically identify the main sources of partial discharge in the test system and generate targeted optimization schemes to effectively reduce the level of partial discharge in the test system from the source and improve the accuracy of partial discharge measurement is a key issue of concern to those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a wiring and grounding optimization method, a wiring and grounding optimization device, a wiring and grounding optimization equipment, and a computer-readable storage medium for reducing the partial discharge of the test system itself in an external construction frequency AC test. This method enables automatic identification of the main sources of the partial discharge of the test system and the generation of targeted optimization schemes, thereby effectively reducing the level of the partial discharge of the test system from the source and improving the accuracy of partial discharge measurement.

[0006] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a wiring and grounding optimization method for reducing partial discharge (PD) in external construction frequency AC tests, comprising: S1, acquiring configuration information of the test system and establishing a topology model of the test circuit based on the configuration information; wherein, the topology model includes electrical parameters of each device node, connection path, and grounding node; S2, performing an excitation test on the test system, acquiring the initial PD signal of the test system, and recording the characteristic parameters of the initial PD signal; wherein, the characteristic parameters include: PD quantity, PD pulse repetition rate, and phase distribution data of the PD signal; S3, optimizing the wiring and grounding based on the topology model and the characteristic parameters of the initial PD signal. S4. Perform phase distribution analysis, pulse waveform analysis, and correlation location analysis on the discharge signal to obtain the source type and suspected location of the partial discharge in the system itself; S5. Based on the source type and suspected location and the preset optimization rule base, generate an optimization scheme for wiring and grounding configuration; wherein, the preset optimization rule base includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measure strategy; S6. Perform configuration adjustment according to the optimization scheme, and re-measure the partial discharge after each adjustment, compare the adjusted partial discharge level with the preset target threshold, and if the target threshold is met, the optimization is completed; if not, repeat the adjustment until the target threshold is met.

[0007] Optionally, the configuration information collected in S1 includes: the capacity, voltage level and partial discharge background level of the test transformer, the capacitance value and partial discharge performance index of the coupling capacitor, the type and parameters of the measured impedance, the length, cross-sectional area and material of each connecting wire, the number, location and grounding resistance value of grounding points, and the type, rated voltage and equivalent capacitance value of the device under test.

[0008] Optionally, during the excitation test in S2, the test voltage is increased to 30% to 50% of the rated test voltage, and the time for acquiring the partial discharge signal under the test voltage is not less than 60 seconds. The characteristic parameters also include the rise time and pulse width of the partial discharge pulse.

[0009] Optionally, the phase distribution analysis in S3 includes: extracting the phase distribution characteristics of the partial discharge signal within the power frequency cycle and generating a phase distribution spectrum; if the partial discharge pulse is concentrated in the phase angle range of 60° to 120° and 240° to 300°, it is determined to be a corona discharge type; if the partial discharge pulse is concentrated in the phase angle range of 0° to 30°, 150° to 210° and 330° to 360°, it is determined to be a floating potential discharge type; if the partial discharge pulse exhibits an asymmetrical distribution in the positive and negative half-cycles, it is determined to be a surface discharge type or a poor contact discharge type.

[0010] Optionally, the grounding point location optimization strategy in S4 includes: adopting a single-point grounding method and setting the grounding point at the grounding end of the measured impedance; if a grounding loop formed by multiple grounding points is detected, generating an optimization suggestion to disconnect redundant grounding points and retain the grounding point closest to the measured impedance; if the grounding resistance value is higher than 4Ω, generating a suggestion to improve the grounding connection.

[0011] Optional, also includes: The execution data and final partial discharge level of the optimization scheme are recorded in the database. The deviation between the actual effect and the expected effect of each optimization measure is analyzed, and the strategy parameters in the preset optimization rule base are updated according to the deviation.

[0012] Optionally, the auxiliary measures strategy includes: generating optimized information for installing equalizing spheres at corresponding locations for identified corona discharge power sources; wherein the diameter of the equalizing sphere is 30mm to 50mm for 10kV voltage level, 50mm to 80mm for 35kV voltage level, and 80mm to 120mm for 110kV voltage level; and generating optimized information for grounding the floating metal body for identified floating potential discharges.

[0013] This application also provides a wiring and grounding optimization device for reducing the partial discharge of AC tests conducted at external construction frequencies, comprising: The topology model construction module is used to collect the configuration information of the test system and build a topology model of the test loop based on the configuration information; wherein, the topology model includes the electrical parameters of each device node, connection path and grounding node; The excitation test module is used to perform excitation tests on the test system, acquire the initial partial discharge signal of the test system, and record the characteristic parameters of the initial partial discharge signal; wherein, the characteristic parameters include: partial discharge quantity, partial discharge pulse repetition rate, and phase distribution data of the partial discharge signal; The partial discharge signal analysis module is used to perform phase distribution analysis, pulse waveform analysis, and correlation location analysis on the initial partial discharge signal based on the topology model and the characteristic parameters, so as to obtain the source type and suspected location of the partial discharge in the system itself. The optimization scheme generation module is used to generate an optimization scheme for wiring and grounding configuration based on the source type and suspected location and a preset optimization rule library; wherein, the preset optimization rule library includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measure strategy; The configuration adjustment module is used to perform configuration adjustments according to the optimization scheme, and to re-measure partial discharge after each adjustment. The adjusted partial discharge level is compared with the preset target threshold. If the target threshold is met, the optimization is completed. If not, the adjustment is repeated until the target threshold is met.

[0014] This application also provides a wiring and grounding optimization device, including: Memory, used to store computer programs; A processor is used to implement the wiring and grounding optimization method described above when executing the computer program.

[0015] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the wiring and grounding optimization method described above.

[0016] This application provides a wiring and grounding optimization method for reducing the partial discharge of AC tests conducted at external construction frequencies, comprising: S1. Collect the configuration information of the test system and establish a topology model of the test circuit based on the configuration information; wherein, the topology model includes the electrical parameters of each device node, connection path and grounding node; S2, Excitement test is performed on the test system, the initial partial discharge signal of the test system is acquired, and the characteristic parameters of the initial partial discharge signal are recorded; wherein, the characteristic parameters include: partial discharge quantity, partial discharge pulse repetition rate, and phase distribution data of the partial discharge signal; S3. Based on the topology model and the characteristic parameters, perform phase distribution analysis, pulse waveform analysis, and correlation location analysis on the initial partial discharge signal to obtain the source type and suspected location of the partial discharge in the system itself. S4. Based on the source type and suspected location and the preset optimization rule base, generate an optimized scheme for wiring and grounding configuration; wherein, the preset optimization rule base includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measures strategy; S5. Perform configuration adjustments according to the optimization scheme, and re-measure partial discharge after each adjustment. Compare the adjusted partial discharge level with the preset target threshold. If the target threshold is met, the optimization is completed. If not, repeat the adjustment until the target threshold is met.

[0017] It has the following beneficial effects: By collecting configuration information and establishing a topology model, a structured data foundation is provided for partial discharge analysis. Multidimensional characteristic parameters of the initial partial discharge signal are obtained through excitation testing, and combined with phase distribution analysis, pulse waveform analysis, and correlation location analysis, the source type and suspected location of the system's own partial discharge are accurately identified. Based on a preset optimization rule base, targeted wiring and grounding configuration schemes are generated, avoiding the blindness and non-repeatability of traditional methods that rely on manual experience. An adjusted closed-loop verification mechanism is executed to ensure that the optimization effect meets the preset goals. This invention achieves systematic diagnosis and intelligent optimization of the test system's own partial discharge, effectively reducing the test system's own partial discharge level and improving the accuracy and reliability of partial discharge measurement. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application 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 embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a wiring and grounding optimization method for reducing partial discharge in external construction frequency AC tests, provided as an embodiment of this application; Figure 2 A schematic diagram of a wiring and grounding optimization device for reducing the partial discharge of external construction frequency AC tests provided in an embodiment of this application; Figure 3 This is a schematic diagram of the wiring and grounding optimization device provided in the embodiments of this application. Detailed Implementation

[0020] The purpose of this application is to provide a wiring and grounding optimization method, a wiring and grounding optimization device, a wiring and grounding optimization equipment, and a computer-readable storage medium for reducing the partial discharge of the test system itself in an external construction frequency AC test. This method enables automatic identification of the main sources of the partial discharge of the test system and the generation of targeted optimization schemes, thereby effectively reducing the level of the partial discharge of the test system from the source and improving the accuracy of partial discharge measurement.

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0022] The following embodiment illustrates a wiring and grounding optimization method provided in this application for reducing the partial discharge of AC test components during external construction.

[0023] Please refer to Figure 1 , Figure 1 The flowchart illustrates a wiring and grounding optimization method for reducing partial discharge in external construction frequency AC tests, as provided in this application embodiment.

[0024] In this embodiment, the method may include: S1, Collect the configuration information of the test system and establish the topology model of the test circuit based on the configuration information; wherein, the topology model includes the electrical parameters of each device node, connection path and grounding node; In this step, the configuration information of the test system is first collected. The configuration information includes: the capacity, voltage level, and partial discharge background level of the test transformer; the capacitance value and partial discharge performance index of the coupling capacitor; the type and parameters of the measured impedance; the length, cross-sectional area, and material of each connecting conductor; the number, location, and grounding resistance value of the grounding points; and the type, rated voltage, and equivalent capacitance value of the device under test.

[0025] Specifically, the test transformer is the core equipment for external high-frequency AC testing. Its capacity determines the output capability of the test system, and its voltage level must match the rated voltage of the device under test. The partial discharge background level reflects the amount of partial discharge generated by the test transformer itself and is an important factor affecting the overall measurement accuracy. Coupling capacitors are used to couple the partial discharge signal from the high-voltage side to the measurement circuit. Their capacitance value affects the signal transmission efficiency, and the partial discharge performance index characterizes the partial discharge characteristics of the coupling capacitor itself. Measurement impedance is used to convert the coupled current signal into a voltage signal for the measuring instrument to acquire. Its types include resistive, inductive, and LC resonant types. The length, cross-sectional area, and material of the connecting wires affect the circuit impedance and electromagnetic compatibility characteristics. The number, location, and grounding resistance value of grounding points directly relate to the effectiveness of the grounding circuit and whether there is a grounding loop current problem. The type, rated voltage, and equivalent capacitance value of the device under test are used to evaluate the overall load characteristics of the test circuit.

[0026] Based on the collected configuration information, a topology model of the test circuit is established. The topology model includes the electrical parameters of each device node, connection path, and grounding node. Device nodes include the location and electrical parameters of major equipment such as the test transformer, coupling capacitor, measuring impedance, and the device under test within the circuit; connection paths describe the electrical connections between devices and their conductor parameters; grounding nodes identify the location, grounding method, and grounding resistance value of each grounding point within the circuit. This topology model provides fundamental data support for subsequent partial discharge source analysis and optimization scheme generation.

[0027] S2, Excite the test system, acquire the initial partial discharge signal of the test system, and record the characteristic parameters of the initial partial discharge signal; among which, the characteristic parameters include: partial discharge quantity, partial discharge pulse repetition rate, and phase distribution data of the partial discharge signal; In this step, the test system is subjected to an excitation test to obtain its partial discharge characteristics. During the excitation test, the test voltage is increased to 30% to 50% of the rated test voltage. This voltage range is chosen because it is sufficient to excite the partial discharge phenomenon present in the system, while avoiding unnecessary stress or insulation damage caused by excessive voltage. The partial discharge signal is acquired for at least 60 seconds at the test voltage to ensure a sufficient number of partial discharge pulse samples are collected for subsequent statistical analysis.

[0028] The recorded characteristic parameters include: partial discharge level, partial discharge pulse repetition rate, phase distribution data of the partial discharge signal, rise time and pulse width of the partial discharge pulse. Partial discharge level is usually measured in picocoos (pC) and reflects the intensity of the partial discharge; the partial discharge pulse repetition rate indicates the number of partial discharge pulses occurring per unit time, used to assess the activity level of the partial discharge; the phase distribution data records the phase angle of each partial discharge pulse relative to the power frequency voltage period, used for subsequent partial discharge type identification; the pulse rise time and pulse width reflect the waveform characteristics of the partial discharge pulse and can be used to distinguish different types of discharge sources.

[0029] S3, based on the topology model and characteristic parameters, performs phase distribution analysis, pulse waveform analysis, and correlation location analysis on the initial partial discharge signal to obtain the source type and suspected location of the partial discharge in the system itself; In this step, phase distribution analysis, pulse waveform analysis, and correlation location analysis are performed on the initial partial discharge signal to identify the source type and suspected location of the partial discharge in the system itself.

[0030] The specific process of phase distribution analysis includes: extracting the phase distribution characteristics of the partial discharge signal within the power frequency cycle and generating a phase distribution spectrum. The phase distribution spectrum uses the phase angle of the power frequency voltage as the horizontal axis and the amplitude or number of partial discharge pulses at the corresponding phase angle as the vertical axis, visually displaying the distribution pattern of the partial discharge pulses within the power frequency cycle. Partial discharge type determination based on phase distribution spectrum: If the partial discharge pulse is concentrated in the phase angle range of 60° to 120° and 240° to 300°, that is, concentrated in the region near the positive and negative peaks of the power frequency voltage, it is determined to be a corona discharge type, because corona discharge usually occurs at the moment of maximum electric field strength; if the partial discharge pulse is concentrated in the phase angle range of 0° to 30°, 150° to 210° and 330° to 360°, that is, concentrated in the region near the zero crossing point of the power frequency voltage, it is determined to be a floating potential discharge type, because the potential change of the floating metal body lags behind the applied voltage, and discharge occurs when the voltage crosses zero; if the partial discharge pulse shows an asymmetrical distribution in the positive and negative half-cycles, it is determined to be a surface discharge type or a poor contact discharge type, because the discharge mechanism of the positive and negative half-cycles of these discharge sources is different, resulting in asymmetrical distribution.

[0031] Pulse waveform analysis further distinguishes the sources of partial discharge by analyzing the rise time and pulse width of the partial discharge pulse. Typically, pulses generated by corona discharge at the tip have a faster rise time and a narrower pulse width, while pulses generated by surface discharge or poor contact are relatively wider.

[0032] Correlation localization analysis combines the device node locations and connection path information in the topology model. By analyzing the time difference or amplitude attenuation characteristics of the partial discharge pulse arriving at different measurement points, the suspected location of the partial discharge source in the test circuit can be inferred. For example, if the partial discharge signal mainly originates from near the high-voltage end of the test transformer, it can be preliminarily determined that there is a problem with the transformer outlet or connection; if the partial discharge signal is strongly correlated with the location of a certain grounding point, it can be determined that there is poor contact or a grounding loop problem near that grounding point.

[0033] S4 generates an optimized wiring and grounding configuration based on the source type, suspected location, and a preset optimization rule base. The preset optimization rule base includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measures strategy. In this step, based on the partial discharge source type and suspected location identified in step S3, and in conjunction with a preset optimization rule base, a targeted wiring and grounding configuration optimization scheme is generated. The preset optimization rule base includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measure strategy.

[0034] Grounding point location optimization strategies include: using a single-point grounding method and setting the grounding point at the grounding terminal of the measured impedance to avoid interference from grounding loops formed by multiple grounding points on partial discharge measurements. If a grounding loop formed by multiple grounding points is detected, an optimization suggestion is generated to disconnect redundant grounding points and retain the grounding point closest to the measured impedance. This is because multiple grounding points can create circulating currents between grounding conductors, which can induce interference signals and affect the accuracy of partial discharge measurements. If the grounding resistance value is higher than 4Ω, it indicates a poor grounding connection, and suggestions for improving the grounding connection are generated, such as cleaning the oxide layer at the grounding point, increasing the cross-sectional area of ​​the grounding conductor, or improving the connection to the earth.

[0035] Optimization strategies for connecting wires include: recommending the use of wires with a cross-sectional area not less than the specified value to reduce loop impedance; recommending reasonable arrangement of wire routes to reduce coupling with external interference sources; and recommending the use of smooth curved surface connectors at high-voltage connections to avoid tip discharge. Further optimization strategies may include: for identified partial discharge at wire connections, generating recommendations to shorten wire length and adjust wire paths to avoid crossing or proximity to metal structures; for identified poor contact discharge, generating recommendations to clean, tighten, or add equipotential rings to the connection points; and for high-voltage leads, generating recommendations to use shielded wires and ground the shielding layer at one end. Equipment location optimization strategies include: suggesting adjusting the relative position between the coupling capacitor and the device under test to optimize signal coupling efficiency; suggesting placing the measuring impedance away from areas with strong electric fields to reduce electric field interference. Further optimization strategies may include: generating suggestions to increase the distance between the test transformer, coupling capacitor, and grounding electrode or wall, with a recommended spacing of not less than 1.5 times the height of the highest point of the equipment above ground; generating suggestions to adjust the relative positions of each device to shorten the total length of the high-voltage conductor. The auxiliary measures strategy includes: For identified corona discharge sources, generating optimized information to install equalizing spheres at the corresponding locations. The function of the equalizing spheres is to improve the electric field distribution and reduce the local electric field intensity, thereby suppressing corona discharge. The diameter of the equalizing spheres has corresponding requirements for different voltage levels: 30mm to 50mm for 10kV, 50mm to 80mm for 35kV, and 80mm to 120mm for 110kV. For identified floating potential discharges, generating optimized information to ground the floating metal body, eliminating the floating potential discharge source by eliminating the floating state of the metal body.

[0036] S5. Perform configuration adjustments according to the optimization plan, and re-measure partial discharge after each adjustment. Compare the adjusted partial discharge level with the preset target threshold. If the target threshold is met, the optimization is completed. If not, repeat the adjustment until the target threshold is met.

[0037] In this step, configuration adjustments are performed according to the optimization scheme generated in step S4, and partial discharge measurements are repeated after each adjustment. The adjusted partial discharge level is then compared with the preset target threshold. The target threshold is determined based on the type of equipment under test and the test standard. For example, for withstand voltage tests on power cables, the partial discharge level of the test system itself is typically required to be 50% lower than the partial discharge limit of the cable under test. If the adjusted partial discharge level meets the target threshold, optimization is complete, and the test system can proceed to the formal withstand voltage test and partial discharge measurement phase. If the target threshold is not met, subsequent optimization adjustments are continued until the target threshold is met.

[0038] This embodiment also includes a self-learning update mechanism for optimizing the rule base. Execution data and final partial discharge levels of optimization schemes are recorded in the database. The deviation between the actual and expected effects of each optimization measure is analyzed, and the strategy parameters in the preset optimization rule base are updated based on the deviation. For example, if the actual effect of a certain optimization measure consistently exceeds expectations in multiple applications, its priority can be appropriately increased or its scope of application expanded; if the actual effect of a certain measure consistently falls short of expectations, the reasons need to be analyzed and relevant parameters adjusted. Through this self-learning mechanism, the optimization rule base can continuously accumulate experience and improve the accuracy and effectiveness of optimization schemes.

[0039] In summary, this embodiment provides a structured data foundation for partial discharge analysis by collecting configuration information and establishing a topology model; it obtains multi-dimensional characteristic parameters of the initial partial discharge signal through excitation testing, and accurately identifies the source type and suspected location of the system's own partial discharge by combining phase distribution analysis, pulse waveform analysis, and correlation location analysis; it generates targeted wiring and grounding configuration schemes based on a preset optimization rule base, avoiding the blindness and non-repeatability of traditional methods that rely on manual experience; and it ensures that the optimization effect meets the preset goals by executing an adjusted closed-loop verification mechanism. This invention realizes the systematic diagnosis and intelligent optimization of the test system's own partial discharge, effectively reducing the test system's own partial discharge level and improving the accuracy and reliability of partial discharge measurement.

[0040] The following describes a wiring and grounding optimization device for reducing the partial discharge of AC test equipment at external construction frequencies, provided by an embodiment of this application. The wiring and grounding optimization device and the wiring and grounding optimization method for reducing the partial discharge of AC test equipment at external construction frequencies described below can be referred to in correspondence with each other.

[0041] Please refer to Figure 2 , Figure 2 This is a schematic diagram of a wiring and grounding optimization device for reducing the partial discharge of external construction frequency AC tests, provided in an embodiment of this application.

[0042] In this embodiment, the device may include: The topology model building module 100 is used to collect the configuration information of the test system and build the topology model of the test loop based on the configuration information; wherein, the topology model includes the electrical parameters of each device node, connection path and grounding node; The excitation test module 200 is used to perform excitation tests on the test system, acquire the initial partial discharge signal of the test system, and record the characteristic parameters of the initial partial discharge signal; among which, the characteristic parameters include: partial discharge quantity, partial discharge pulse repetition rate, and phase distribution data of the partial discharge signal; The partial discharge signal analysis module 300 is used to perform phase distribution analysis, pulse waveform analysis, and correlation location analysis on the initial partial discharge signal based on the topology model and characteristic parameters, so as to obtain the source type and suspected location of the partial discharge in the system itself. The optimization scheme generation module 400 is used to generate optimization schemes for wiring and grounding configurations based on the source type, suspected location, and a preset optimization rule library. The preset optimization rule library includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measure strategy. The configuration adjustment module 500 is used to perform configuration adjustments according to the optimization scheme, and to re-measure partial discharge after each adjustment. The adjusted partial discharge level is compared with the preset target threshold. If the target threshold is met, the optimization is completed. If not, the adjustment is repeated until the target threshold is met.

[0043] This application also provides wiring and grounding optimization equipment; please refer to [reference needed]. Figure 3 , Figure 3 This is a schematic diagram of the wiring and grounding optimization device provided in the embodiments of this application. The wiring and grounding optimization device may include: Memory, used to store computer programs; The processor, when executing a computer program, can implement any of the steps described above for optimizing wiring and grounding methods to reduce the partial discharge of external construction frequency AC tests.

[0044] like Figure 3 The diagram shown illustrates the structural composition of a wiring and grounding optimization device. This device may include a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 all communicate with each other via the communication bus 13.

[0045] In this embodiment, the processor 10 may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0046] The processor 10 can call the program stored in the memory 11. Specifically, the processor 10 can execute the operations in the embodiment of the abnormal IP identification method.

[0047] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions: S1, Collect the configuration information of the test system and establish the topology model of the test circuit based on the configuration information; wherein, the topology model includes the electrical parameters of each device node, connection path and grounding node; S2, Excite the test system, acquire the initial partial discharge signal of the test system, and record the characteristic parameters of the initial partial discharge signal; among which, the characteristic parameters include: partial discharge quantity, partial discharge pulse repetition rate, and phase distribution data of the partial discharge signal; S3, based on the topology model and characteristic parameters, performs phase distribution analysis, pulse waveform analysis, and correlation location analysis on the initial partial discharge signal to obtain the source type and suspected location of the partial discharge in the system itself; S4 generates an optimized wiring and grounding configuration based on the source type, suspected location, and a preset optimization rule base. The preset optimization rule base includes: grounding point location optimization strategy, connecting wire optimization strategy, equipment location optimization strategy, and auxiliary measures strategy. S5. Perform configuration adjustments according to the optimization plan, and re-measure partial discharge after each adjustment. Compare the adjusted partial discharge level with the preset target threshold. If the target threshold is met, the optimization is completed. If not, repeat the adjustment until the target threshold is met.

[0048] In one possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0049] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0050] Communication interface 12 can be an interface for the communication module, used to connect with other devices or systems.

[0051] Of course, it should be noted that, Figure 3 The structure shown does not constitute a limitation on the wiring and grounding optimization device in the embodiments of this application. In practical applications, the wiring and grounding optimization device may include more than Figure 3 More or fewer components as shown, or combinations of certain components.

[0052] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of any of the above-described methods for optimizing wiring and grounding to reduce the partial discharge of external construction frequency AC tests.

[0053] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0054] For a description of the computer-readable storage medium provided in this application, please refer to the above method embodiments; further details will not be repeated here.

[0055] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0056] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0057] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0058] The foregoing has provided a detailed description of the wiring and grounding optimization method, the wiring and grounding optimization device, the wiring and grounding optimization equipment, and the computer-readable storage medium for reducing the partial discharge of AC tests at external construction frequencies. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. A method for reducing the connection and grounding optimization of external power frequency AC test self-potential discharge, characterized in that, The method comprises the following steps: S1, collecting configuration information of a test system, and establishing a topology model of a test loop based on the configuration information; wherein the topology model contains electrical parameters of each device node, connection path and grounding node; S2, performing excitation test on the test system, collecting initial partial discharge signals of the test system, and recording characteristic parameters of the initial partial discharge signals; wherein the characteristic parameters include: partial discharge amount, partial discharge pulse repetition rate, phase distribution data of partial discharge signals; S3, performing phase distribution analysis, pulse waveform analysis and correlation positioning analysis on the initial partial discharge signals based on the topology model and the characteristic parameters, to obtain the source type and suspected location of the system's own partial discharge; S4, generating an optimization scheme of wiring and grounding configuration based on the source type and suspected location and a preset optimization rule library; wherein the preset optimization rule library includes: grounding point position optimization strategy, connection conductor optimization strategy, device position optimization strategy, and auxiliary measure strategy; S5, performing configuration adjustment according to the optimization scheme, and re-performing partial discharge measurement after each adjustment, comparing the adjusted partial discharge level with a preset target threshold, and if the target threshold is met, the optimization is completed, and if not, the adjustment is repeated until the target threshold is met.

2. The wiring and grounding optimization method of claim 1, wherein, The configuration information collected in S1 includes: capacity, voltage level and partial discharge background level of the test transformer, capacitance value and partial discharge performance index of the coupling capacitor, type and parameters of the measurement impedance, length, cross-sectional area and material of each section of the connection conductor, number, position and grounding resistance value of the grounding point, and type, rated voltage and equivalent capacitance value of the measured device.

3. The method of claim 2, wherein, In the excitation test in S2, the test voltage is raised to 30% to 50% of the rated test voltage, and the time for collecting partial discharge signals under the test voltage is not less than 60 seconds. The characteristic parameters further include the rise time and pulse width of the partial discharge pulse.

4. The method of claim 3, wherein, The phase distribution analysis in S3 includes: extracting the phase distribution characteristics of the partial discharge signals in the power frequency cycle and generating a phase distribution spectrum; if the partial discharge pulses are concentrated in the phase angle range of 60° to 120° and 240° to 300°, it is determined as corona discharge type; if the partial discharge pulses are concentrated in the phase angle range of 0° to 30°, 150° to 210° and 330° to 360°, it is determined as floating potential discharge type; if the partial discharge pulses are asymmetrically distributed in the positive and negative half cycles, it is determined as surface discharge type or poor contact discharge type.

5. The method of claim 4, wherein, The grounding point position optimization strategy in S4 includes: adopting single-point grounding mode and setting the grounding point at the grounding end of the measurement impedance; if it is detected that there are multiple grounding loops formed by grounding points, an optimization suggestion is generated to disconnect the redundant grounding points and keep the grounding point closest to the measurement impedance; if the grounding resistance value is higher than 4Ω, a suggestion is generated to improve the grounding connection.

6. The method of claim 5, wherein, Further comprising: Recording the execution data of the optimization scheme and the final partial discharge level to a database, analyzing the deviation between the actual effect and the expected effect of each optimization measure, and updating the strategy parameters in the preset optimization rule library according to the deviation.

7. The method of claim 6, wherein, The auxiliary measure strategy includes: generating optimization information of installing a voltage-sharing ball at a corresponding position for the identified corona discharge source; wherein the diameter of the voltage-sharing ball is 30-50 mm for a 10 kV voltage level, 50-80 mm for a 35 kV voltage level, and 80-120 mm for a 110 kV voltage level; and generating optimization information of grounding the suspended metal body for the identified suspended potential discharge.

8. A connection and grounding optimization device for reducing the self-potential discharge of an external power frequency AC test, characterized by The method comprises: a topology model construction module configured to collect configuration information of a test system and construct a topology model of a test circuit based on the configuration information, wherein the topology model comprises electrical parameters of each device node, a connection path, and a grounding node; an excitation test module configured to perform excitation testing on the test system, collect initial partial discharge signals of the test system, and record characteristic parameters of the initial partial discharge signals, wherein the characteristic parameters include: a partial discharge amount, a partial discharge pulse repetition rate, and phase distribution data of the partial discharge signals; a partial discharge signal analysis module configured to perform phase distribution analysis, pulse waveform analysis, and correlation positioning analysis on the initial partial discharge signals based on the topology model and the characteristic parameters, to obtain a source type and a suspected position of self partial discharge of the system; an optimization scheme generation module configured to generate an optimization scheme of wiring and grounding configuration based on the source type and the suspected position and a preset optimization rule library, wherein the preset optimization rule library includes: a grounding point position optimization strategy, a connection conductor optimization strategy, a device position optimization strategy, and an auxiliary measure strategy; a configuration adjustment module configured to perform configuration adjustment according to the optimization scheme, and perform partial discharge measurement again after each adjustment, compare the adjusted partial discharge level with a preset target threshold, and if the target threshold is met, optimization is completed, and if the target threshold is not met, adjustment is repeatedly performed until the target threshold is met.

9. A wiring and grounding optimization apparatus, characterized by, The method comprises: a memory configured to store a computer program; a processor configured to execute the computer program to implement the steps of the wiring and grounding optimization method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is stored on the computer-readable storage medium, and when executed by the processor, the computer program implements the steps of the wiring and grounding optimization method according to any one of claims 1 to 7.

Images