Insulator flashover prediction method and device, equipment and storage medium

Abstract

The invention discloses an insulator flashover prediction method and device, equipment and a storage medium. The insulator flashover prediction method comprises the steps of obtaining real-time rainfall data and processing the real-time rainfall data to obtain the maximum instantaneous rainfall intensity; constructing a corresponding insulator flashover model according to the flashover correlation parameters of the insulator; inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain corresponding dry belt flashover time; calculating a change rule of an insulator dry zone based on the maximum instantaneous rainfall intensity, and obtaining a function relationship between the change of the dry zone and the change of the wet zone; and predicting whether the insulator flashover occurs or not according to the function relationship. According to the insulator flashover prediction method provided by the invention, by designing specific method steps, the possibility of discharge flashover of the insulator can be accurately judged according to the rainfall condition, the externally applied voltage, the rainwater conductivity, the structure parameters of the insulator and the like, so that the flashover voltage prediction is realized; and stability and reliability of a power grid system are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid insulator operation safety early warning, and in particular to an insulator flashover prediction method, device, equipment and storage medium. Background Art

[0002] Arc discharge caused by flashover of insulators under rainfall conditions may cause equipment or line failure in the power system. This sudden arc discharge may cause line short circuit, equipment damage or system interruption. The possible failure will not only cause equipment damage and power system shutdown, but also may bring many negative impacts such as economic losses, safety hazards and reputation loss.

[0003] Nowadays, power companies usually take a series of preventive measures to reduce the risk of insulator flashover, such as maintaining insulators, improving insulator design, enhancing the anti-pollution performance of insulators, and formulating emergency plans to mitigate the impact of flashover events. However, there is little research on the establishment of insulator flashover models and the prediction of flashover voltage. It can be seen that how to predict insulator flashover under rain conditions has become a technical problem that technicians in this field need to solve urgently. Summary of the invention

[0004] The present invention provides an insulator flashover prediction method, device, equipment and storage medium. By designing specific method steps, the possibility of discharge flashover of the insulator can be accurately judged according to the rainfall, external voltage, rainwater conductivity, structural parameters of the insulator and the like, thereby realizing the prediction of the flashover voltage and ensuring the stability and reliability of the power grid system.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides an insulator flashover prediction method, comprising:

[0006] Acquire real-time rainfall data and process it to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation;

[0007] According to the flashover associated parameters of the insulator, a corresponding insulator flashover model is constructed, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity;

[0008] Inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time;

[0009] Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining the functional relationship between the dry zone and the wet zone;

[0010] According to the functional relationship, it is predicted whether the insulator flashes over.

[0011] As one preferred solution, the real-time rainfall data is acquired and processed to obtain the maximum instantaneous rainfall intensity reflecting the rainfall conditions, specifically including:

[0012] Get real-time rainfall within a preset time period;

[0013] Obtaining instantaneous rainfall intensity according to the real-time rainfall;

[0014] The frequency analysis method is used to estimate the maximum instantaneous rainfall intensity based on the instantaneous rainfall intensity.

[0015] As one of the preferred solutions, the calculation of the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity to obtain the functional relationship between the dry zone and the wet zone specifically includes:

[0016] The variation law of the insulator dry zone is obtained according to whether a local small arc is formed;

[0017] The functional relationship reflecting the surface resistance of the dry tape and the wet tape is calculated, wherein the functional relationship includes:

[0018]

[0019] R D =R D0 L D (t)

[0020] R W =R W0 [L B -L D (t)]

[0021] Among them, L D (t) is the actual length of the dry zone after the rain begins, L0 is the actual length of the dry zone, A is the raindrop coefficient associated with the maximum instantaneous rainfall intensity, t is the time, R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the creepage distance.

[0022] As one preferred solution, predicting whether an insulator flashover occurs according to the functional relationship specifically includes:

[0023] Calculating the surface resistance of the dry tape and the wet tape according to the functional relationship;

[0024] Calculate the dry strip breakdown field strength based on the resistor voltage division principle;

[0025] Calculate the time of dry strip flashover according to the corresponding circuit equation;

[0026] Whether the insulator flashes over is determined by the flashover time of the dry strip.

[0027] Another embodiment of the present invention provides an insulator flashover prediction device, comprising a processor, wherein the processor is configured to:

[0028] Acquire real-time rainfall data and process it to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation;

[0029] According to the flashover associated parameters of the insulator, a corresponding insulator flashover model is constructed, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity;

[0030] Inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time;

[0031] Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining the functional relationship between the dry zone and the wet zone;

[0032] According to the functional relationship, it is predicted whether the insulator flashes over.

[0033] As one preferred solution, the processor is further configured to:

[0034] Get real-time rainfall within a preset time period;

[0035] Obtaining instantaneous rainfall intensity according to the real-time rainfall;

[0036] The frequency analysis method is used to estimate the maximum instantaneous rainfall intensity based on the instantaneous rainfall intensity.

[0037] As one preferred solution, the processor is further configured to:

[0038] The variation law of the insulator dry zone is obtained according to whether a local small arc is formed;

[0039] The functional relationship reflecting the surface resistance of the dry tape and the wet tape is calculated, wherein the functional relationship includes:

[0040]

[0041] R D =R D0 L D (t)

[0042] R W =R W0 [L B -LD (t)]

[0043] Among them, L D (t) is the actual length of the dry zone after the rain begins, L0 is the actual length of the dry zone, A is the raindrop coefficient associated with the maximum instantaneous rainfall intensity, t is the time, R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the creepage distance.

[0044] As one preferred solution, the processor is further configured to:

[0045] Calculating the surface resistance of the dry tape and the wet tape according to the functional relationship;

[0046] Calculate the dry strip breakdown field strength based on the resistor voltage division principle;

[0047] Calculate the time of dry strip flashover according to the corresponding circuit equation;

[0048] Whether the insulator flashes over is determined by the flashover time of the dry strip.

[0049] Another embodiment of the present invention provides an insulator flashover prediction device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the insulator flashover prediction method as described above when executing the computer program.

[0050] Yet another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein when a device where the computer-readable storage medium is located executes the computer program, the insulator flashover prediction method as described above is implemented.

[0051] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0052] (1) The present invention uses the instantaneous rainfall intensity obtained by rainfall statistics to replace the average rainfall intensity calculated by rainfall, which more accurately reflects the rainfall intensity of the actual rainstorm in a certain period of time;

[0053] (2) The present invention effectively predicts whether an insulator will flash over in the event of heavy rainfall, thereby taking preventive measures in advance;

[0054] (3) The present invention can help power system engineers and designers evaluate the performance of insulators under heavy rainfall conditions to determine whether flashover or discharge will occur in the insulators, thereby improving the stability and reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic flow chart of an insulator flashover prediction method in one embodiment of the present invention;

[0056] Figure 2 is a schematic diagram of a model structure of an insulator wetted surface in one embodiment of the present invention;

[0057] Figure 3 It is a simplified model of flashover of an insulator under rain in one embodiment of the present invention;

[0058] Figure 4 is a schematic diagram showing the change of the drying belt length with the raining time in one embodiment of the present invention;

[0059] Figure 5 is a structural block diagram of an insulator flashover prediction device in one embodiment of the present invention;

[0060] Reference numerals:

[0061] Among them, 21, processor; 22, memory. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0064] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0065] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0066] An embodiment of the present invention provides a method for predicting insulator flashover. For details, see Figure 1 to Figure 4 ,in Figure 1 FIG. 1 is a flow chart of an insulator flashover prediction method in one embodiment of the present invention. Figure 2 FIG. 1 is a schematic diagram showing a model structure of an insulator wetted surface in one embodiment of the present invention. Figure 3 The figure shows a simplified model of flashover of an insulator under rain in one embodiment of the present invention. Figure 4 The schematic diagram of the change of the dry zone length with the rain time in one embodiment of the present invention. The insulator flashover prediction method includes steps S1 to S5, which are as follows:

[0067] S1. Acquire and process real-time rainfall data to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation;

[0068] S2. constructing a corresponding insulator flashover model according to the flashover associated parameters of the insulator, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity;

[0069] S3, inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time;

[0070] S4. Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining a functional relationship between the dry zone and the wet zone;

[0071] S5. Predict whether flashover will occur in the insulator based on the functional relationship.

[0072] The processing of real-time rainfall data in the embodiment of the present invention includes obtaining the rainfall level, obtaining the 12-hour and 24-hour rainfalls with reference to the classification standards of my country's rainfall levels; determining the instantaneous rainfall intensity: obtaining the instantaneous rainfall intensity by the statistical relationship between the statistically collected rainfall and the instantaneous rainfall intensity; and using a frequency analysis method to estimate the instantaneous maximum rainfall intensity. The method takes into account the situation of different rainfall frequencies and collects rainfall data, which should include rainfall events of different durations. Usually, this information is provided in meteorological stations or meteorological observation data. Sort the rainfall events according to the duration for further analysis. Determine the frequency of rainfall events of different durations using frequency distribution analysis. This usually involves the use of statistical methods. Calculate the instantaneous maximum rainfall intensity (or maximum instantaneous rainfall intensity) using frequency distribution and design frequency (for example, once in 10 years, once in 20 years, etc.). This can usually be done using probability distribution functions and frequency analysis techniques. Associate the instantaneous maximum rainfall intensity with the duration to form an IDF curve. This curve shows the maximum instantaneous rainfall intensity of various durations at different frequencies. According to the empirical formula, the relationship between the instantaneous maximum rainfall intensity (I) and the duration (T) can be expressed by the following formula:

[0073] I=a / D b

[0074] Where a and b are empirical coefficients that can be determined by fitting observed data or using statistical methods.

[0075] Exemplarily, the maximum instantaneous rainfall intensity data table is shown in the following table.

[0076]

[0077] Furthermore, in the above embodiment, according to the flashover associated parameters of the insulator under actual rainfall, an insulator flashover model is constructed, and the input quantities required by the model are: the voltage level of the insulator, which is used as the external voltage; the specifications of the insulator, which are used to obtain the creepage distance of the insulator; the related parameters, which are determined by observing the number of water drops from the dry belt shed after the rain starts, which is related to the maximum instantaneous rainfall intensity mentioned above; the total resistance of the dry and wet belt is obtained from the length of the dry and wet belt, the unit length resistance of the dry and wet belt is obtained from the specifications of the insulator, and the wet belt resistance is related to the conductivity of rainwater, so the conductivity of rainwater also needs to be measured. The output of the final model is the flashover time of the dry belt.

[0078] In the above embodiment, the conductivity of rainwater in the measured area is used for subsequent calculations. The conductivity of rainwater is obtained by a conductivity instrument. In actual operation, turn on the conductivity instrument and ensure that it is in working condition. If calibration is required, perform the calibration steps and stir the rainwater sample to ensure that the sample is evenly mixed. Before measuring, the sample should be clear and there should be no obvious floating objects. If the instrument needs to be zeroed, immerse the conductivity instrument in pure water and perform zero adjustment. Immerse the conductivity instrument in the rainwater sample and ensure that the electrodes are fully immersed. Wait for a while until the reading is stable and record the value of the conductivity measurement, which is usually expressed in conductivity units. After completing the measurement, clean the electrodes of the conductivity instrument in time to prevent cross contamination. Exemplarily, the rainwater conductivity data is shown in the following table.

[0079]

[0080] Furthermore, in the above embodiment, the variation law of the dry zone of the insulator is calculated based on the maximum instantaneous rainfall intensity. The conductivity of the rainy surface is very large, and the wet surface forms an intermittent dry zone due to Joule heat. The dry zone bears most of the external voltage. When the surface field strength of the dry zone exceeds the critical breakdown field strength of the surface air, a local small arc is formed; but the rain is continuously pouring on the surface, and once the small arc is formed, the dry zone is re-wetted by the rain, and a continuous conductive water film layer is restored; due to the ionic conductivity of the rain, the leakage current is large and the water film is dried due to Joule heat, causing local discharge again; the time between the secondary jumps of the leakage current is very short, or even completely continuous, without obvious jump phenomenon; the air gap between the two umbrellas is connected in series with the completely wet upper surface, and because the wetness of the part of the surface covered by the umbrella is small, the discharge will not develop along this surface, and only a local small arc will appear.

[0081] Furthermore, in the above embodiment, the functional relationship between the dry and wet zone changes is calculated based on the processed instantaneous rainfall intensity, as follows:

[0082]

[0083] In the above formula: Parameter A is determined by observing the number of drops of water from the dry belt umbrella skirt after the rain begins. It only depends on the rain intensity and is related to the maximum instantaneous rainfall intensity. It has nothing to do with time. That is, the greater the rain intensity, the faster the dry belt gets wet. L0 is the actual dry belt length.

[0084] Total surface resistance R of dry and wet tape D and R W for

[0085] R D =R D0 L D (t)

[0086] RW =R W0 [L B -L D (t)]

[0087] In the above formula: R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the discharge distance of the model (i.e. creepage distance), which is determined by the specifications of the insulator itself.

[0088] The prediction and judgment of insulator flashover are as follows:

[0089] Assume R D and R W It is not related to the action time (actually it is related). Under steady-state conditions, the voltage Up that the dry belt bears is obtained by the resistor voltage division principle. B -L D (t).

[0090]

[0091] Where Us is the DC voltage applied to the model, that is, the voltage value set artificially to determine whether the insulator will flash over under this voltage. It is generally taken as the voltage level of the insulator. Assume that the breakdown voltage of the dry strip under DC voltage is proportional to the strip length, that is:

[0092] U bD =E0L D(t)

[0093] The above E0 is the breakdown field strength of the dry strip, so the circuit equation of the model is:

[0094]

[0095] The dry strip flashover time is obtained by the above calculation formula.

[0096] when When the dry band width becomes 0, the time for the local arc to appear obtained by the dry band flashover condition equation is < Right now:

[0097]

[0098] Obviously, if the wet belt R W0 If it is too large, the above formula cannot be satisfied and the dry band cannot flash over. Therefore, the above formula is a necessary condition for wet flashover due to non-uniform rainfall.

[0099] It can be seen that the flashover time of the dry band must be greater than 0, and the sufficient condition for wet flashover under non-uniform rainfall is obtained:

[0100]

[0101] Therefore, if we want to obtain sufficient conditions for wet flashover of insulators under non-uniform rainfall, the basic conditions for dry strip flashover are:

[0102] U bD =U D =E0L D (t)

[0103] If the dry strip flashes, the applied voltage is almost entirely applied to the wet strip. Whether the wet strip will also cause a full flashover due to the almost uninterrupted pulse discharge caused by the leakage current and the continuous action of rain has not been considered. The test results show that the pulse discharge in this case will develop a long distance in the direction of the high-voltage electrode, especially the negative polarity pulse (the high-voltage electrode is negative polarity), which is conducive to the formation of a full flashover after the dry strip breaks down. At the same time, the model assumes that the wet area is in a stable high-resistance state at the beginning of the rain, but in fact, it takes several minutes of rain for the wet area to reach a steady high-resistance state. Therefore, wet flashover has a wetting process.

[0104] Another embodiment of the present invention provides an insulator flashover prediction device, comprising a processor, wherein the processor is configured to:

[0105] Acquire real-time rainfall data and process it to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation;

[0106] According to the flashover associated parameters of the insulator, a corresponding insulator flashover model is constructed, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity;

[0107] Inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time;

[0108] Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining the functional relationship between the dry zone and the wet zone;

[0109] According to the functional relationship, it is predicted whether the insulator flashes over.

[0110] Furthermore, in the above embodiment, the processor is further configured to:

[0111] Get real-time rainfall within a preset time period;

[0112] Obtaining instantaneous rainfall intensity according to the real-time rainfall;

[0113] The frequency analysis method is used to estimate the maximum instantaneous rainfall intensity based on the instantaneous rainfall intensity.

[0114] Furthermore, in the above embodiment, the processor is further configured to:

[0115] The variation law of the insulator dry zone is obtained according to whether a local small arc is formed;

[0116] The functional relationship reflecting the surface resistance of the dry tape and the wet tape is calculated, wherein the functional relationship includes:

[0117]

[0118] R D =R D0 L D (t)

[0119] R W =R W0 [L B -L D (t)]

[0120] Among them, L D (t) is the actual length of the dry zone after the rain begins, L0 is the actual length of the dry zone, A is the raindrop coefficient associated with the maximum instantaneous rainfall intensity, t is the time, R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the creepage distance.

[0121] Furthermore, in the above embodiment, the processor is further configured to:

[0122] Calculating the surface resistance of the dry tape and the wet tape according to the functional relationship;

[0123] Calculate the dry strip breakdown field strength based on the resistor voltage division principle;

[0124] Calculate the time of dry strip flashover according to the corresponding circuit equation;

[0125] Whether the insulator flashes over is determined by the flashover time of the dry strip.

[0126] See also Figure 5, which is a structural block diagram of an insulator flashover prediction device provided in an embodiment of the present invention. The insulator flashover prediction device provided in an embodiment of the present invention comprises a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21. When the processor 21 executes the computer program, the steps in the above-mentioned insulator flashover prediction method embodiment are implemented, for example Figure 1 Steps S1 to S5 described in .

[0127] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory 22 and executed by the processor 21 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in the insulator flashover prediction device.

[0128] The insulator flashover prediction device may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art may understand that the schematic diagram is only an example of the insulator flashover prediction device and does not constitute a limitation on the insulator flashover prediction device. The insulator flashover prediction device may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the insulator flashover prediction device may also include input and output devices, network access devices, buses, etc.

[0129] The processor 21 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 21 is the control center of the insulator flashover prediction device, and uses various interfaces and lines to connect various parts of the entire insulator flashover prediction device.

[0130] The memory 22 can be used to store the computer program and / or module. The processor 21 realizes various functions of the insulator flashover prediction device by running or executing the computer program and / or module stored in the memory 22 and calling the data stored in the memory 22. The memory 22 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 22 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0131] Wherein, if the module integrated in the insulator flashover prediction device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0132] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0133] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to perform the steps in the insulator flashover prediction method of the above embodiment, for example Figure 1 Steps S1 to S5 described in .

[0134] An insulator flashover prediction method, device, equipment and storage medium provided by the embodiments of the present invention have the beneficial effects of at least one of the following:

[0135] (1) The present invention uses the instantaneous rainfall intensity obtained by rainfall statistics to replace the average rainfall intensity calculated by rainfall, which more accurately reflects the rainfall intensity of the actual rainstorm in a certain period of time;

[0136] (2) The present invention effectively predicts whether an insulator will flash over in the event of heavy rainfall, thereby taking preventive measures in advance;

[0137] (3) The present invention can help power system engineers and designers evaluate the performance of insulators under heavy rainfall conditions to determine whether flashover or discharge will occur in the insulators, thereby improving the stability and reliability of the power system.

[0138] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An insulator flashover prediction method, characterized in that: include: Acquire real-time rainfall data and process it to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation; According to the flashover associated parameters of the insulator, a corresponding insulator flashover model is constructed, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity; Inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time; Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining the functional relationship between the variation of the dry zone and the wet zone; According to the functional relationship, it is predicted whether the insulator flashes over.

2. The insulator flashover prediction method according to claim 1, characterized in that: The real-time rainfall data is obtained and processed to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation, specifically including: Get real-time rainfall within a preset time period; Obtaining instantaneous rainfall intensity according to the real-time rainfall; The frequency analysis method is used to estimate the maximum instantaneous rainfall intensity based on the instantaneous rainfall intensity.

3. The insulator flashover prediction method according to claim 2, characterized in that: The step of calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity to obtain the functional relationship between the dry zone and the wet zone specifically includes: The variation law of the insulator dry zone is obtained according to whether a local small arc is formed; The functional relationship reflecting the surface resistance of the dry tape and the wet tape is calculated, wherein the functional relationship includes: R D =R D0 L D (t) R W =R W0 [L B -L D (t)] Among them, L D (t) is the actual length of the dry zone after the rain begins, L0 is the actual length of the dry zone, A is the raindrop coefficient associated with the maximum instantaneous rainfall intensity, t is the time, R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the creepage distance.

4. The insulator flashover prediction method according to claim 3, characterized in that: The predicting whether the insulator flashes over according to the functional relationship specifically includes: Calculating the surface resistance of the dry tape and the wet tape according to the functional relationship; Calculate the dry strip breakdown field strength based on the resistor voltage division principle; Calculate the time of dry strip flashover according to the corresponding circuit equation; Whether the insulator flashes over is determined by the flashover time of the dry strip.

5. An insulator flashover prediction device, characterized in that: comprising a processor configured to: Acquire real-time rainfall data and process it to obtain the maximum instantaneous rainfall intensity reflecting the rainfall situation; According to the flashover associated parameters of the insulator, a corresponding insulator flashover model is constructed, wherein the flashover associated parameters at least include an applied voltage, a creepage distance, a total resistance of the dry and wet strips of the insulator, and rainwater conductivity; Inputting the maximum instantaneous rainfall intensity into the insulator flashover model to obtain the corresponding dry strip flashover time; Calculating the variation law of the dry zone of the insulator based on the maximum instantaneous rainfall intensity, and obtaining the functional relationship between the dry zone and the wet zone; According to the functional relationship, it is predicted whether the insulator flashes over.

6. The insulator flashover prediction device according to claim 5, characterized in that: The processor is further configured to: Get real-time rainfall within a preset time period; Obtaining instantaneous rainfall intensity according to the real-time rainfall; The frequency analysis method is used to estimate the maximum instantaneous rainfall intensity based on the instantaneous rainfall intensity.

7. The insulator flashover prediction device according to claim 6, characterized in that: The processor is further configured to: The variation law of the insulator dry zone is obtained according to whether a local small arc is formed; The functional relationship reflecting the surface resistance of the dry tape and the wet tape is calculated, wherein the functional relationship includes: R D =R D0 L D (t) R W =R W0 [L B -L D (t)] Among them, L D (t) is the actual length of the dry zone after the rain begins, L0 is the actual length of the dry zone, A is the raindrop coefficient associated with the maximum instantaneous rainfall intensity, t is the time, R D is the surface resistance of the dry strip, R D0 is the surface resistance per unit length of the dry tape, R W is the wet tape surface resistance, R W0 is the surface resistance per unit length of the wet strip, L B is the creepage distance.

8. The insulator flashover prediction device according to claim 7, characterized in that: The processor is further configured to: Calculating the surface resistance of the dry tape and the wet tape according to the functional relationship; Calculate the dry strip breakdown field strength based on the resistor voltage division principle; Calculate the time of dry strip flashover according to the corresponding circuit equation; Whether the insulator flashes over is determined by the flashover time of the dry strip.

9. An insulator flashover prediction device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the insulator flashover prediction method according to any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the insulator flashover prediction method according to any one of claims 1 to 4 is implemented.

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