Locating method and device for partial discharge fault of current collection line

Abstract

The invention provides a current collection line partial discharge fault positioning method and device. The method comprises the steps of obtaining a first high-frequency partial discharge pulse signal at a bus end and a second high-frequency partial discharge pulse signal at the tail end of each branch line when a new energy station current collection line fails; based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and a current collection line fault interval positioning model, obtaining a suspected fault interval corresponding to the current collection line of the new energy station; according to the current collection circuit structure type corresponding to each suspected fault interval, determining a target fault interval corresponding to the current collection circuit of the new energy station; and carrying out fault positioning in the target fault interval based on a traveling wave method to obtain a partial discharge fault positioning result of the new energy station current collection line. According to the method, the target fault section corresponding to the current collection line of the new energy station can be accurately determined, excessive fault monitoring devices are not needed, and the accuracy of partial discharge fault positioning of the current collection line can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of collector line monitoring, and in particular to a collector line partial discharge fault locating method and device. Background Art

[0002] The collector line is a line used to collect and transmit electric energy in the power system. It is usually used to collect the electric energy generated by multiple power generation units (such as wind turbines, solar panels, etc.) to a centralized point, and then transmit it to the power grid or load center through transmission lines. In order to ensure the safe and stable operation of the collector line, the collector line is generally monitored and fault located so that potential problems and faults can be discovered and handled in a timely manner. Among them, since the partial discharge fault of the collector line may cause a major power safety accident in a short period of time, the accurate location of the partial discharge fault of the collector line is very important.

[0003] At present, the traveling wave method is mainly used to locate partial discharge faults in collector lines. However, since most new energy stations are distributed in mountainous areas and cover a large area, their collector lines are distributed in a radial pattern with multiple branches and short T-connections. As a result, the collector line fault distance measurement based on traveling waves requires more fault monitoring devices and reasonable installation point locations to achieve accurate positioning of the fault points along the entire collector line. At the same time, it is affected by the distributed power supply characteristics of the collector lines of new energy stations and the variability of fault points, which may make it impossible to accurately determine the fault interval. Summary of the invention

[0004] The embodiments of the present invention provide a method and device for locating partial discharge faults in a collector line, so as to solve the problem that the localization of partial discharge faults in collector lines of current new energy stations requires many fault monitoring devices and has insufficient accuracy.

[0005] In a first aspect, an embodiment of the present invention provides a method for locating a partial discharge fault of a collector line, comprising:

[0006] Obtaining a first high-frequency partial discharge pulse signal at the bus terminal and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in the collector line of a new energy station;

[0007] Based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval location model, a suspected fault interval corresponding to the collector line of the new energy station is obtained;

[0008] Verify each suspected fault interval according to the collector line structure type corresponding to each suspected fault interval, and determine the target fault interval corresponding to the collector line of the new energy station according to the verification result;

[0009] Based on the traveling wave method, fault location is performed within the target fault interval to obtain the local discharge fault location result of the collector line of the new energy station.

[0010] In a possible implementation, the training process of the collector line fault interval location model is as follows:

[0011] Obtain the first historical high-frequency partial discharge pulse signal at the bus end and the second historical high-frequency partial discharge pulse signal at the end of each branch line when a historical fault occurs in the collector lines of different new energy stations, as well as the corresponding historical fault location results, and record the branch line where the historical fault location results are located as the historical fault interval;

[0012] Taking the first historical high-frequency partial discharge pulse signal and each of the second historical high-frequency partial discharge pulse signals as input and the corresponding historical fault interval as output, a preset neural network model is trained to obtain a collector line fault interval location model.

[0013] In a possible implementation, the suspected fault interval is checked according to the collector line structure type corresponding to each of the suspected fault intervals, and a target fault interval of the collector line of the new energy station is determined according to the check result, including:

[0014] Obtaining the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined to be a fault interval, recorded as the fault probability;

[0015] According to the fault probability corresponding to each of the suspected fault intervals, a target fault interval of the collector line of the new energy station is determined.

[0016] In a possible implementation manner, obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval includes:

[0017] Look up in the preset fault probability table to obtain the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval; wherein the preset fault probability table is a correspondence table between each collector line structure type and the probability that each collector line structure type is determined as a fault interval.

[0018] In a possible implementation, obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval, recorded as the fault probability, includes:

[0019] Obtaining the proportion of the collector line structure type corresponding to each of the suspected fault intervals to different collector line structure types in the collector lines of the new energy station;

[0020] The probability that the collector line structure type corresponding to each of the suspected fault intervals is determined to be a fault interval is obtained according to the ratio, and is recorded as the fault probability.

[0021] In a possible implementation, obtaining, according to the ratio, the probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval, recorded as the fault probability, includes:

[0022] determining a first correction coefficient according to the ratio;

[0023] The initial probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval is corrected according to the first correction coefficient to obtain the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval, which is recorded as the fault probability.

[0024] In a possible implementation, determining a target fault interval of a collector line of a new energy station according to the fault probability corresponding to each suspected fault interval includes:

[0025] If there is a suspected fault interval greater than a preset probability threshold among the fault probabilities corresponding to each of the suspected fault intervals, the suspected fault interval corresponding to the maximum value of each of the fault probabilities is determined as the target fault interval of the new energy station collector line.

[0026] In a possible implementation, the method further includes:

[0027] If there is no suspected fault interval greater than the preset probability threshold in the fault probability corresponding to each of the suspected fault intervals, the first high-frequency local discharge pulse signal at the bus end before and / or after the fault of the collector line of the new energy station and the second high-frequency local discharge pulse signal at the end of each branch line are obtained, and the step of "obtaining the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency local discharge pulse signal, the second high-frequency local discharge pulse signal and the collector line fault interval locating model" and subsequent steps are re-executed.

[0028] In a possible implementation, it also includes: obtaining environmental information when a fault occurs in a collector line of a new energy station;

[0029] The suspected fault interval is verified according to the collector line structure type corresponding to each of the suspected fault intervals, and the target fault interval corresponding to the collector line of the new energy station is determined according to the verification result, including:

[0030] The suspected fault interval is verified according to the collector line structure type corresponding to each of the suspected fault intervals and the environmental information, and the target fault interval corresponding to the collector line of the new energy station is determined according to the verification result.

[0031] In a second aspect, an embodiment of the present invention provides a collector line partial discharge fault location device, comprising:

[0032] An acquisition module is used to acquire a first high-frequency partial discharge pulse signal at the bus end and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in the collector line of the new energy station;

[0033] A first processing module, configured to obtain a suspected fault section of a collector line of a new energy station based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and a collector line fault section location model;

[0034] The second processing module is used to check the suspected fault interval according to the collector line structure corresponding to each of the suspected fault intervals, and determine the target fault interval of the collector line of the new energy station according to the check result;

[0035] The fault location module is used to locate the fault within the target fault interval based on the traveling wave method to obtain the local discharge fault location result of the collector line of the new energy station.

[0036] The embodiment of the present invention provides a method and device for locating partial discharge faults of a collector line, by obtaining a first high-frequency partial discharge pulse signal at the bus end and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in a collector line of a new energy station; then based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval location model, the suspected fault interval corresponding to the collector line of the new energy station is obtained; then the suspected fault interval is checked according to the collector line structure type corresponding to each suspected fault interval, and the target fault interval corresponding to the collector line of the new energy station is determined according to the check result; then the fault is located in the target fault interval based on the traveling wave method, and the partial discharge fault location result of the collector line of the new energy station is obtained. The target fault interval corresponding to the collector line of the new energy station can be accurately determined by using the collector line fault interval location model and the collector line structure type, without too many fault monitoring devices, and the accuracy of the collector line partial discharge fault location can be ensured by performing fault location based on the traveling wave method on the basis of accurately obtaining the target fault interval corresponding to the collector line of the new energy station. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 is a flow chart for implementing a collector line partial discharge fault location method provided by an embodiment of the present invention;

[0039] Figure 2 This is a schematic diagram of the topology of a collector line of a new energy station provided by an embodiment of the present invention;

[0040] Figure 3 It is a structural schematic diagram of a collector line partial discharge fault locating device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0042] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0043] Figure 1 The implementation flow chart of the collector line partial discharge fault location method provided by the embodiment of the present invention is described in detail as follows:

[0044] Step 101, obtaining a first high-frequency partial discharge pulse signal at the bus terminal and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in a collector line of a new energy station.

[0045] Combination Figure 2 As shown, the new energy station collector line topology generally includes a bus and several branches. In this embodiment, in order to minimize the fault monitoring device, only the first high-frequency partial discharge pulse signal at the bus end and the second high-frequency partial discharge pulse signal at the end of each branch line can be obtained when a fault occurs in the new energy station collector line.

[0046] Step 102: based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval location model, obtain the suspected fault interval corresponding to the collector line of the new energy station.

[0047] Exemplarily, the training process of the collector line fault interval location model may be:

[0048] The first historical high-frequency partial discharge pulse signal at the bus end and the second historical high-frequency partial discharge pulse signal at the end of each branch line when historical faults occurred in the collector lines of different new energy stations, as well as the corresponding historical fault location results, are obtained, and the branch line where the historical fault location results are located is recorded as the historical fault interval.

[0049] With the first historical high-frequency partial discharge pulse signal and each second historical high-frequency partial discharge pulse signal as input and the corresponding historical fault interval as output, the preset neural network model is trained to obtain a collector line fault interval location model.

[0050] In this embodiment, in order to quickly and accurately locate the collector line partial discharge fault when only the first high-frequency partial discharge pulse signal at the bus end and the second high-frequency partial discharge pulse signal at the end of each branch line are obtained during the fault, a collector line fault interval location model can be trained in advance.

[0051] Taking into account that in general, there is little measured data for training the collector line fault interval location model. Therefore, this embodiment uses the collector line fault interval location model to obtain the suspected fault interval corresponding to the collector line of the new energy station, and then verifies the suspected fault interval to more accurately determine the target fault interval corresponding to the collector line of the new energy station.

[0052] Step 103, verifying each suspected fault interval according to the collector line structure type corresponding to the suspected fault interval, and determining the target fault interval corresponding to the collector line of the new energy station according to the verification result.

[0053] In this embodiment, considering that the accuracy of the suspected fault interval is not enough, it is considered to further check using the collector line structure type corresponding to each suspected fault interval.

[0054] For example, according to the actual situation, the collector line structure type can be divided into the case of fewer or shorter branches, the case of containing long branches, the case of containing multiple T-connected branches in a long branch, etc. When the suspected fault interval corresponds to different collector line structure types, the probability of it being a target fault interval is also different. Therefore, the collector line structure type corresponding to each suspected fault interval can be used for further verification.

[0055] Optionally, checking each suspected fault interval according to the collector line structure type corresponding to the suspected fault interval, and determining the target fault interval of the collector line of the new energy station according to the checking result may include:

[0056] The probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval is obtained and recorded as the fault probability.

[0057] According to the fault probability corresponding to each suspected fault interval, the target fault interval of the collector line of the new energy station is determined.

[0058] Exemplarily, obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval may include:

[0059] The preset fault probability table is looked up to obtain the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval.

[0060] The preset fault probability table is a correspondence table between each collector line structure type and the probability that each collector line structure type is determined as a fault interval.

[0061] In this embodiment, a preset fault probability table can be formed by statistically analyzing historical fault location results, and the preset fault probability table is used to characterize the corresponding relationship between each collector line structure type and the probability of each collector line structure type being determined as a fault interval. After obtaining the suspected fault interval, the preset fault probability table can be used to check whether the suspected fault interval can be determined as the target fault interval.

[0062] Exemplarily, assuming that the suspected fault section belongs to the case where there are fewer or shorter branches, and the probability of being determined as a fault section in the case where there are fewer or shorter branches is low, the suspected fault section is highly likely not the target fault section.

[0063] Optionally, obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval, recorded as the fault probability, may include:

[0064] The proportion of the collector line structure type corresponding to each suspected fault interval in the different collector line structure types in the collector lines of new energy stations is obtained.

[0065] According to the proportion, the probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval is obtained, which is recorded as the fault probability.

[0066] Exemplarily, obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval according to the ratio, recorded as the fault probability, may include:

[0067] A first correction coefficient is determined according to the ratio.

[0068] The initial probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval is corrected according to the first correction coefficient to obtain the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval, which is recorded as the fault probability.

[0069] In this embodiment, the differences in the collector line topologies of various new energy stations are taken into account. When a certain collector line structure type accounts for a higher or lower proportion in the entire collector line topology of the new energy station, its probability of being determined as a fault interval may also be higher or lower. Therefore, it is considered to obtain the proportion of the collector line structure type corresponding to each suspected fault interval in the different collector line structure types in the collector line of the new energy station, and determine a targeted first correction coefficient for each suspected fault interval according to the proportion, so as to more accurately measure the probability of the suspected fault interval being determined as a fault interval, thereby more accurately determining the target fault interval.

[0070] Exemplarily, determining the target fault interval of the collector line of the new energy station according to the fault probability corresponding to each suspected fault interval may include:

[0071] If there is a suspected fault interval greater than a preset probability threshold among the fault probabilities corresponding to each suspected fault interval, the suspected fault interval corresponding to the maximum value of each fault probability is determined as the target fault interval of the new energy station collector line.

[0072] If there is no suspected fault interval with a fault probability greater than a preset probability threshold in the fault probability corresponding to each suspected fault interval, the first high-frequency local discharge pulse signal at the bus end before and / or after the fault of the collector line of the new energy station and the second high-frequency local discharge pulse signal at the end of each branch line are obtained, and the step of "obtaining the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency local discharge pulse signal, the second high-frequency local discharge pulse signal and the collector line fault interval locating model" and subsequent steps are re-executed.

[0073] In this embodiment, after obtaining the fault probability corresponding to each suspected fault interval, considering the situation that the fault probabilities corresponding to each suspected fault interval are all low, that is, the situation that the credibility of each suspected fault interval is not high, at this time, the first high-frequency local discharge pulse signal at the bus end before and / or after the fault of the new energy station collector line and the second high-frequency local discharge pulse signal at the end of each branch line are re-obtained to re-execute the step of "obtaining the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency local discharge pulse signal, the second high-frequency local discharge pulse signal and the collector line fault interval positioning model" and subsequent steps, and then re-search for a more credible target fault interval when the credibility of each suspected fault interval is not high.

[0074] Exemplarily, environmental information may also be obtained when a fault occurs in a collector line of a new energy station.

[0075] Accordingly, each suspected fault interval can be verified according to the collector line structure type and environmental information corresponding to the suspected fault interval, and the target fault interval corresponding to the collector line of the new energy station can be determined according to the verification result.

[0076] In this embodiment, it is further considered that the environmental information when a fault occurs in the collector line of the new energy station may also affect the target fault interval where the fault occurs in the collector line of the new energy station. The suspected fault interval is jointly checked based on the collector line structure type and environmental information corresponding to each suspected fault interval to further improve the accuracy of the target fault interval.

[0077] Step 104, performing fault location within the target fault interval based on the traveling wave method, and obtaining a local discharge fault location result of the collector line of the new energy station.

[0078] Among them, the traveling wave method is based on the characteristics of traveling waves propagating on the transmission line. When a line fails, one or more traveling waves will be generated at the fault point, and these traveling waves will propagate to both sides along the line. The basic principle of traveling wave positioning is to calculate the location of the fault point by detecting and analyzing the time difference between these traveling waves arriving at both ends of the line, combined with the length and wave speed of the line. After determining the target fault interval, this embodiment performs accurate fault positioning within the target fault interval based on the traveling wave method.

[0079] The embodiment of the present invention obtains the first high-frequency partial discharge pulse signal at the bus end and the second high-frequency partial discharge pulse signal at the end of each branch line when the collector line of the new energy station fails; then firstly obtains the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval positioning model; then checks the suspected fault interval according to the collector line structure type corresponding to each suspected fault interval, and determines the target fault interval corresponding to the collector line of the new energy station according to the verification result; then locates the fault in the target fault interval based on the traveling wave method, and obtains the partial discharge fault positioning result of the collector line of the new energy station. The target fault interval corresponding to the collector line of the new energy station can be accurately determined by using the collector line fault interval positioning model and the collector line structure type, without too many fault monitoring devices, and the accuracy of the collector line partial discharge fault positioning can be ensured by performing fault positioning based on the traveling wave method on the basis of accurately obtaining the target fault interval corresponding to the collector line of the new energy station.

[0080] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0081] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0082] Figure 3 The structure diagram of the collector line partial discharge fault location device provided by the embodiment of the present invention is shown. For the convenience of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0083] like Figure 3 As shown, the collector line partial discharge fault locating device includes: an acquisition module 31 , a first processing module 32 , a second processing module 33 and a fault locating module 34 .

[0084] An acquisition module 31 is used to acquire a first high-frequency partial discharge pulse signal at the bus end and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in the collector line of the new energy station;

[0085] A first processing module 32 is used to obtain a suspected fault section of the collector line of the new energy station based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault section location model;

[0086] The second processing module 33 is used to check the suspected fault interval according to the collector line structure corresponding to each of the suspected fault intervals, and determine the target fault interval of the collector line of the new energy station according to the check result;

[0087] The fault location module 34 is used to locate the fault in the target fault interval based on the traveling wave method to obtain the local discharge fault location result of the collector line of the new energy station.

[0088] The embodiment of the present invention obtains the first high-frequency partial discharge pulse signal at the bus end and the second high-frequency partial discharge pulse signal at the end of each branch line when the collector line of the new energy station fails; then firstly obtains the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval positioning model; then checks the suspected fault interval according to the collector line structure type corresponding to each suspected fault interval, and determines the target fault interval corresponding to the collector line of the new energy station according to the verification result; then locates the fault in the target fault interval based on the traveling wave method, and obtains the partial discharge fault positioning result of the collector line of the new energy station. The target fault interval corresponding to the collector line of the new energy station can be accurately determined by using the collector line fault interval positioning model and the collector line structure type, without too many fault monitoring devices, and the accuracy of the collector line partial discharge fault positioning can be ensured by performing fault positioning based on the traveling wave method on the basis of accurately obtaining the target fault interval corresponding to the collector line of the new energy station.

[0089] In a possible implementation, the training process of the collector line fault interval location model is as follows:

[0090] The first historical high-frequency partial discharge pulse signal at the bus end and the second historical high-frequency partial discharge pulse signal at the end of each branch line when historical faults occur in the collector lines of different new energy stations, as well as the corresponding historical fault location results, are obtained, and the branch line where the historical fault location results are located is recorded as a historical fault interval; with the first historical high-frequency partial discharge pulse signal and each of the second historical high-frequency partial discharge pulse signals as input and the corresponding historical fault interval as output, a preset neural network model is trained to obtain a collector line fault interval location model.

[0091] In a possible implementation, the second processing module 33 can be used to obtain the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval, recorded as the fault probability; and determine the target fault interval of the collector line of the new energy station based on the fault probability corresponding to each of the suspected fault intervals.

[0092] In one possible implementation, the second processing module 33 can be used to look up a preset fault probability table to obtain the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval; wherein the preset fault probability table is a correspondence table between each collector line structure type and the probability that each collector line structure type is determined as a fault interval.

[0093] In a possible implementation, the second processing module 33 can be used to obtain the proportion of the collector line structure type corresponding to each of the suspected fault intervals to the different collector line structure types in the collector line of the new energy station; and obtain the probability of the collector line structure type corresponding to each of the suspected fault intervals being determined as a fault interval based on the proportion, which is recorded as the fault probability.

[0094] In one possible implementation, the second processing module 33 can be used to determine a first correction coefficient based on the ratio; based on the first correction coefficient, the initial probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval is corrected to obtain the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval, which is recorded as the fault probability.

[0095] In one possible implementation, the second processing module 33 can be used to determine the suspected fault interval corresponding to the maximum value of each of the suspected fault probabilities as the target fault interval of the new energy station collection line if there is a suspected fault interval greater than a preset probability threshold among the fault probabilities corresponding to each of the suspected fault intervals.

[0096] In a possible implementation, the second processing module 33 can also be used to obtain the first high-frequency local discharge pulse signal at the bus end and the second high-frequency local discharge pulse signal at the end of each branch line before and / or after the fault of the new energy station collector line, and re-execute the step of "obtaining the suspected fault interval corresponding to the new energy station collector line based on the first high-frequency local discharge pulse signal, the second high-frequency local discharge pulse signal and the collector line fault interval locating model" and subsequent steps.

[0097] In one possible implementation, the acquisition module 31 can be used to obtain environmental information when a fault occurs in the collector line of the new energy station; the second processing module 33 can be used to verify the suspected fault interval according to the collector line structure type corresponding to each of the suspected fault intervals and the environmental information, and determine the target fault interval corresponding to the collector line of the new energy station according to the verification result.

[0098] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0100] If the module / unit 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 embodiments of the partial discharge fault location method of the collector line can be implemented. Among them, 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 that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium.

[0101] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for locating partial discharge faults in a collector line, characterized in that: include: Obtaining a first high-frequency partial discharge pulse signal at the bus terminal and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in the collector line of a new energy station; Based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and the collector line fault interval location model, a suspected fault interval corresponding to the collector line of the new energy station is obtained; Verify each suspected fault interval according to the collector line structure type corresponding to each suspected fault interval, and determine the target fault interval corresponding to the collector line of the new energy station according to the verification result; Based on the traveling wave method, fault location is performed within the target fault interval to obtain the local discharge fault location result of the collector line of the new energy station.

2. The collector line partial discharge fault location method according to claim 1, characterized in that: The training process of the collector line fault interval location model is as follows: Obtain the first historical high-frequency partial discharge pulse signal at the bus end and the second historical high-frequency partial discharge pulse signal at the end of each branch line when a historical fault occurs in the collector lines of different new energy stations, as well as the corresponding historical fault location results, and record the branch line where the historical fault location results are located as the historical fault interval; Taking the first historical high-frequency partial discharge pulse signal and each of the second historical high-frequency partial discharge pulse signals as input and the corresponding historical fault interval as output, a preset neural network model is trained to obtain a collector line fault interval location model.

3. The collector line partial discharge fault location method according to claim 1, characterized in that: The suspected fault interval is verified according to the collector line structure type corresponding to each of the suspected fault intervals, and the target fault interval of the collector line of the new energy station is determined according to the verification result, including: Obtaining the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined to be a fault interval, recorded as the fault probability; According to the fault probability corresponding to each of the suspected fault intervals, a target fault interval of the collector line of the new energy station is determined.

4. The collector line partial discharge fault location method according to claim 3, characterized in that: Obtaining the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined to be a fault interval includes: Look up in the preset fault probability table to obtain the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval; wherein the preset fault probability table is a correspondence table between each collector line structure type and the probability that each collector line structure type is determined as a fault interval.

5. The collector line partial discharge fault location method according to claim 3, characterized in that: Obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined to be a fault interval, recorded as the fault probability, includes: Obtaining the proportion of the collector line structure type corresponding to each of the suspected fault intervals to different collector line structure types in the collector lines of the new energy station; The probability that the collector line structure type corresponding to each of the suspected fault intervals is determined to be a fault interval is obtained according to the ratio, and is recorded as the fault probability.

6. The collector line partial discharge fault location method according to claim 5, characterized in that: Obtaining the probability that the collector line structure type corresponding to each suspected fault interval is determined as a fault interval according to the ratio, recorded as the fault probability, includes: determining a first correction coefficient according to the ratio; The initial probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval is corrected according to the first correction coefficient to obtain the probability that the collector line structure type corresponding to each of the suspected fault intervals is determined as a fault interval, which is recorded as the fault probability.

7. The collector line partial discharge fault location method according to claim 3, characterized in that: Determining a target fault interval of a collector line of a new energy station according to the fault probability corresponding to each suspected fault interval includes: If there is a suspected fault interval greater than a preset probability threshold among the fault probabilities corresponding to each of the suspected fault intervals, the suspected fault interval corresponding to the maximum value of each of the fault probabilities is determined as the target fault interval of the new energy station collector line.

8. The collector line partial discharge fault location method according to claim 7, characterized in that: Also includes: If there is no suspected fault interval greater than the preset probability threshold in the fault probability corresponding to each of the suspected fault intervals, the first high-frequency local discharge pulse signal at the bus end before and / or after the fault of the collector line of the new energy station and the second high-frequency local discharge pulse signal at the end of each branch line are obtained, and the step of "obtaining the suspected fault interval corresponding to the collector line of the new energy station based on the first high-frequency local discharge pulse signal, the second high-frequency local discharge pulse signal and the collector line fault interval locating model" and subsequent steps are re-executed.

9. The collector line partial discharge fault location method according to claim 1, characterized in that: Also includes: Obtain environmental information when a fault occurs in the collector line of a new energy station; The suspected fault interval is verified according to the collector line structure type corresponding to each of the suspected fault intervals, and the target fault interval corresponding to the collector line of the new energy station is determined according to the verification result, including: The suspected fault interval is verified according to the collector line structure type corresponding to each of the suspected fault intervals and the environmental information, and the target fault interval corresponding to the collector line of the new energy station is determined according to the verification result.

10. A collector line partial discharge fault location device, characterized in that: include: An acquisition module is used to acquire a first high-frequency partial discharge pulse signal at the bus end and a second high-frequency partial discharge pulse signal at the end of each branch line when a fault occurs in the collector line of the new energy station; A first processing module, configured to obtain a suspected fault section of a collector line of a new energy station based on the first high-frequency partial discharge pulse signal, the second high-frequency partial discharge pulse signal and a collector line fault section location model; The second processing module is used to check the suspected fault interval according to the collector line structure corresponding to each of the suspected fault intervals, and determine the target fault interval of the collector line of the new energy station according to the check result; The fault location module is used to locate the fault within the target fault interval based on the traveling wave method to obtain the local discharge fault location result of the collector line of the new energy station.

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