An on-line monitoring method for leakage current of a lightning arrester

Abstract

The application discloses an on-line monitoring method for leakage current of a lightning arrester, and belongs to the technical field of power supply and distribution. The method comprises the following steps: obtaining historical leakage current data and corresponding environment information of each lightning arrester; pre-processing the historical leakage current data of each lightning arrester and obtaining a steady-state change curve of the leakage current; establishing similar environment data groups; obtaining the action relationship of all similar environment data groups on the leakage current in each lightning arrester; obtaining the theoretical leakage current of each lightning arrester; obtaining the measured leakage current of each lightning arrester, and obtaining the leakage current deviation rate of each lightning arrester based on the theoretical leakage current of the lightning arrester; and setting the on-line monitoring of the leakage current of each lightning arrester and allocating monitoring resources based on the leakage current deviation rate of each lightning arrester. The method solves the problem of unreasonable allocation of monitoring resources for the leakage current of the lightning arrester in the prior art, and the problem of insufficient monitoring precision and rationality of the leakage current.

Description

Technical Field

[0001] This application belongs to the field of power supply and distribution technology, specifically, it pertains to an online monitoring method for leakage current of surge arresters. Background Technology

[0002] The monitoring results of surge arrester leakage current can fundamentally reflect the current operating status of the surge arrester, thereby analyzing whether there is an operational fault in the surge arrester. It is one of the most critical indicators in surge arrester fault detection and monitoring. However, in the existing technology, a universal online leakage current monitoring method is used. On the one hand, this method is difficult to directly and accurately identify surge arresters that may have faults, making it difficult to effectively identify surge arresters that need to be focused on for fault investigation. On the other hand, using a universal monitoring method means that the same monitoring resources need to be invested in every surge arrester, which cannot achieve targeted monitoring. As a result, the online monitoring system for surge arrester leakage current in the power grid consumes too many resources and is unable to cope with the increasingly complex power grid control scenarios with higher control accuracy requirements.

[0003] Therefore, how to establish a method that can accurately and effectively identify surge arresters that may be faulty, while reducing the consumption of monitoring resources, is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] To address the problems of existing technologies that struggle to accurately and effectively identify potentially faulty surge arresters and consume excessive monitoring resources, this application discloses an online monitoring method for surge arrester leakage current, specifically:

[0005] An online monitoring method for leakage current of a surge arrester, the monitoring method comprising:

[0006] Obtain historical leakage current data for each surge arrester, and obtain the corresponding environmental information for the leakage current detection time of each surge arrester;

[0007] The historical leakage current data of each surge arrester is preprocessed to obtain the steady-state variation curve of the leakage current;

[0008] Based on the corresponding environmental information of the leakage current detection time of each surge arrester, a similar environmental data group is established;

[0009] Based on the aforementioned similar environment data set, the relationship between the effects of all similar environment data sets on leakage current within each surge arrester is obtained;

[0010] Based on the aforementioned interaction relationship and the total operating time of each surge arrester, the theoretical leakage current of each surge arrester is obtained;

[0011] Obtain the measured leakage current of each surge arrester, and based on the theoretical leakage current of the surge arrester, obtain the leakage current deviation rate of each surge arrester;

[0012] Based on the leakage current deviation rate of each surge arrester, online monitoring resources are allocated for leakage current of each surge arrester, and it is determined whether to perform monitoring result analysis.

[0013] Optionally, the step of acquiring historical leakage current data for each surge arrester and acquiring corresponding environmental information for the leakage current detection time of each surge arrester includes:

[0014] The historical operating data of each surge arrester is obtained from the power grid system database, and the historical leakage current data of each surge arrester is obtained from it.

[0015] Obtain the environmental information of each surge arrester corresponding to the leakage current detection time from the power grid system database;

[0016] Based on the leakage current detection time of each surge arrester, a correspondence is established between the historical leakage current data of each surge arrester and the corresponding environmental information.

[0017] Optionally, the preprocessing of historical leakage current data for each surge arrester to obtain a steady-state variation curve of the leakage current includes:

[0018] Obtain historical leakage current data for each surge arrester and remove abrupt changes to obtain the preprocessed leakage current.

[0019] All pre-processed leakage currents were set into the curve according to the acquisition time of historical leakage current data to obtain the steady-state change curve of leakage current.

[0020] Optionally, the establishment of a similar environment data group based on the corresponding environmental information of the leakage current detection time for each surge arrester includes:

[0021] Obtain the leakage current detection time of each surge arrester and the corresponding environmental type data to obtain the corresponding environmental information;

[0022] Set similar numerical intervals for environmental data within each environmental type to obtain similar numerical intervals for all environmental types;

[0023] For each surge arrester, obtain a set of environmental data where all environmental data at adjacent leakage current detection times fall within similar numerical ranges for the corresponding environmental type, thus obtaining a set of similar environmental data.

[0024] Optionally, the step of obtaining the effect relationship of all similar environmental data sets on leakage current within each surge arrester based on the similar environmental data sets includes:

[0025] Acquire the historical leakage current data acquisition time for each surge arrester, obtain the similar environmental data group at the acquisition time, and set the similar environmental data group into the steady-state change curve of the leakage current;

[0026] Obtain the duration of each similar environmental data group from all historical leakage current data of each surge arrester;

[0027] Obtain the start and end times of all similar environmental data groups within each surge arrester, along with the corresponding start and end leakage currents;

[0028] Based on the corresponding initial leakage current and final leakage current, and the duration of the corresponding similar environmental data set, the effect of all similar environmental data sets on the leakage current within each surge arrester is obtained.

[0029] Optionally, based on the corresponding initial leakage current and final leakage current, and the duration of the corresponding similar environmental data set, the relationship between the effects of all similar environmental data sets on the leakage current within each surge arrester is obtained, including:

[0030] Sort all identical similar environmental data groups by the acquisition time of historical leakage current data, and obtain the same similar environmental data group sequence number;

[0031] Based on the duration of all similar environmental data groups of the surge arrester, and the corresponding starting leakage current and ending leakage current, obtain the correspondence between leakage current difference - similar environmental data group number - duration.

[0032] Based on the correspondence between the leakage current difference, the serial number of the similar environment data group, and the duration, a simulation equation is established for the leakage current difference caused by the same similar environment data group during the operation of the surge arrester.

[0033] Based on the simulation equations of the leakage current difference caused by all the same similar environmental data sets during the operation of the surge arrester, and the connection relationship between the similar environmental data sets, the effect relationship of all similar environmental data sets on leakage current within each surge arrester is obtained.

[0034] Optionally, the process of obtaining the theoretical leakage current of each surge arrester based on the aforementioned interaction relationship and the total operating time of each surge arrester includes:

[0035] Acquire all predicted similar environment data sets during the period when the surge arrester reaches the next leakage current detection time;

[0036] Based on the total operating time of each surge arrester, obtain the theoretical leakage current for the total operating time;

[0037] Based on the theoretical leakage current of the total running time, obtain the theoretical leakage current at the next leakage current detection time.

[0038] Optionally, obtaining the theoretical leakage current for the next leakage current detection time based on the theoretical leakage current of the total running time includes:

[0039] Obtain the total runtime and the duration of the next leakage current detection time to obtain the predictive analysis duration;

[0040] Obtain the prediction duration corresponding to all prediction-similar environmental data groups that exist within the prediction analysis period;

[0041] Based on the relationship between similar environmental data sets and leakage current, the leakage current change rate of all predicted similar environmental data sets within the prediction analysis period is obtained to obtain the leakage current change rate within the similar environmental data sets.

[0042] Based on the leakage current change rate within a similar environmental data set and the duration of the similar environmental data set, the theoretical leakage current of each surge arrester is obtained.

[0043] Optionally, obtaining the measured leakage current of each surge arrester and, based on the theoretical leakage current of the surge arrester, obtaining the leakage current deviation rate of each surge arrester includes:

[0044] When each surge arrester reaches the next leakage current detection time, the measured leakage current of the surge arrester is obtained;

[0045] Based on the measured leakage current and theoretical leakage current of each surge arrester, the leakage current deviation rate of each surge arrester is obtained.

[0046] Optionally, the step of allocating monitoring resources for online monitoring of leakage current for each surge arrester based on the leakage current deviation rate of each surge arrester, and determining whether to perform monitoring result analysis, includes:

[0047] Obtain the leakage current deviation rate percentage for each surge arrester;

[0048] Based on the proportion of leakage current deviation rate, the leakage current monitoring resources of surge arresters in the power grid are allocated to obtain the monitoring resource allocation results.

[0049] Based on the monitoring resource allocation results, determine whether to analyze the causes of leakage current in surge arresters.

[0050] The beneficial effects of this application include:

[0051] 1. Achieved rational allocation of monitoring resources. In the technical solution of this application, the leakage current deviation rate of each surge arrester was finally set. Then, the specific amount of monitoring resources allocated to each surge arrester during the operation of the entire power grid was analyzed. This amount of resources can be directly used to adjust the monitoring time interval for that surge arrester, the detection time length of each leakage current, and the accuracy and depth of the cause analysis of leakage current, etc., thereby rationally configuring the monitoring resources for leakage current of surge arresters during power grid operation to meet the stable operation requirements of the entire power grid.

[0052] 2. Improved monitoring accuracy of leakage current. The technical solution of this application employs two methods for monitoring leakage current: theoretical leakage current and measured leakage current. For the theoretical leakage current, all historical data is analyzed, and then the measured leakage current is used for comparison and monitoring resource allocation. The theoretical leakage current value is actually updated in real time, ensuring that a specific and accurate leakage current variation pattern over time is established for each surge arrester during continuous system operation, thereby significantly improving monitoring accuracy.

[0053] 3. Ensures efficient leakage current monitoring. In the technical solution of this application, a dedicated leakage current change result is established for each surge arrester, and verified based on the measured leakage current. If the deviation rate is too high, it means that the surge arrester may have experienced a sudden failure. For that surge arrester, more online monitoring resources will be allocated to it, so that more comprehensive and complete monitoring operations can be applied to the leakage current of the surge arrester based on more online monitoring resources, thereby fully ensuring the efficiency of leakage current monitoring. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the embodiments of this application or the prior art will be briefly introduced below. Obviously, the following description is only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. The drawings are used to provide a further understanding of this disclosure and constitute a part of the specification. They are used together with the following detailed description to explain this disclosure, but do not constitute a limitation of this disclosure. In the drawings:

[0055] Figure 1 A flowchart illustrating an online monitoring method for surge arrester leakage current provided in this application embodiment;

[0056] Figure 2 A schematic diagram of a similar environmental data set for an online monitoring method for leakage current of a surge arrester provided in an embodiment of this application;

[0057] Figure 3 This diagram illustrates the correspondence between leakage current difference, similar environment data group number, and duration in an online monitoring method for surge arrester leakage current provided in this application embodiment. Detailed Implementation

[0058] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Furthermore, in the embodiments of this application, "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0059] Currently, the difficulty in online monitoring of surge arrester leakage current lies not in the application of hardware facilities, but in the optimization of software approaches. This is mainly manifested in the fact that the same online monitoring method is used for every surge arrester, which makes it difficult to achieve personalized online monitoring for each arrester and requires a large amount of computing resources. To solve this problem, this application discloses an online monitoring method for surge arrester leakage current, such as... Figure 1 The diagram shown is a flowchart of an online monitoring method for surge arrester leakage current provided in an embodiment of this application. Specifically:

[0060] S110. Obtain historical leakage current data for each surge arrester and obtain the corresponding environmental information for the leakage current detection time of each surge arrester.

[0061] S120. Preprocess the historical leakage current data of each surge arrester and obtain the steady-state change curve of the leakage current.

[0062] S130. Based on the corresponding environmental information of the leakage current detection time of each surge arrester, establish a similar environmental data group.

[0063] S140. Based on the similar environment data group, obtain the effect relationship of all similar environment data groups on leakage current within each surge arrester.

[0064] S150. Based on the aforementioned interaction relationship and the total operating time of each surge arrester, obtain the theoretical leakage current of each surge arrester.

[0065] S160. Obtain the measured leakage current of each surge arrester, and based on the theoretical leakage current of the surge arrester, obtain the leakage current deviation rate of each surge arrester.

[0066] S170. Based on the leakage current deviation rate of each surge arrester, allocate monitoring resources for online monitoring of leakage current for each surge arrester, and determine whether to perform monitoring result analysis.

[0067] The beneficial effects of the above steps are that they enable the rational allocation of online monitoring resources for the actual leakage current of surge arresters, while improving the accuracy and effectiveness of leakage current analysis of surge arresters.

[0068] To better illustrate the specific technical content involved in all the above steps, a detailed explanation of the specific content of all the above steps will be provided below:

[0069] As described in step S110, the purpose of this step is to consider that among the factors affecting the leakage current of surge arresters, especially during periods of continuous performance degradation, environmental factors are the most important influencing factors. Therefore, when obtaining historical data on the leakage current of surge arresters, environmental information needs to be obtained simultaneously to determine the affected factors and their corresponding influencing factors. Specifically:

[0070] S111. Obtain the historical operating data of each surge arrester from the power grid system database, and obtain the historical leakage current data of each surge arrester from it.

[0071] The purpose of this step is to obtain the leakage current of each surge arrester, thereby obtaining historical leakage current data for each surge arrester, and then, based on the obtained historical leakage current data, to find the pattern of leakage current change.

[0072] During grid operation, various power parameters are collected and recorded in the database. In the analysis of surge arrester leakage current, it is necessary to access the grid system database to obtain historical data.

[0073] Among them, the historical leakage current data of the surge arrester can be directly found from the historical operating data of the surge arrester.

[0074] For the historical leakage current data of surge arresters, it is necessary to obtain the historical leakage current data of each surge arrester. It should be noted that this process must ensure that the corresponding historical leakage current data is determined for each surge arrester.

[0075] S112. Obtain the environmental information of each surge arrester corresponding to the leakage current detection time from the power grid system database.

[0076] The purpose of this step is to obtain the environmental information corresponding to the period during which the leakage current of the surge arrester was obtained after acquiring the historical leakage current data, so as to obtain the correspondence between the historical leakage current data of the surge arrester and the historical environmental information.

[0077] In the acquisition of leakage current of surge arresters, the leakage current can already be directly obtained based on the signal acquisition device installed on the surge arrester, so the leakage current is obtained based on this system.

[0078] In this process, when acquiring the time of leakage current acquisition, the historical environmental information corresponding to that acquisition time is obtained simultaneously.

[0079] In some embodiments, it is necessary to obtain all environmental information during two adjacent periods of historical leakage current data acquisition.

[0080] S113. Based on the leakage current detection time of each surge arrester, establish the correspondence between the historical leakage current data of each surge arrester and the corresponding environmental information.

[0081] The purpose of this step is to correlate the obtained historical leakage current data with environmental information so that it can be used in subsequent analysis of the impact of environmental factors on leakage current.

[0082] Among them, the numerical time points are based on the obtained historical leakage current data and the collected environmental information.

[0083] When setting the same time point, it is necessary to use the time point as an anchor to associate leakage current data and environmental data in order to build a correspondence between the historical leakage current data and the corresponding environmental information of each surge arrester.

[0084] The beneficial effect of step S110 is that by matching historical leakage current data with corresponding environmental information, the element data that needs to be correlated can be obtained, thereby promoting the acquisition of accurate analysis results in the future.

[0085] As described in step S120, the purpose of this step is to determine the specific changes in this historical data after obtaining the historical leakage current data of the surge arrester, in order to find the pattern of leakage current change. Specifically:

[0086] S121. Obtain the historical leakage current data of each surge arrester and remove abrupt changes to obtain the pre-processed leakage current.

[0087] The purpose of this step is to consider only the long-term effects of environmental factors on the leakage current of surge arresters in the technical solution of this application, without considering the impact of sudden meteorological conditions, such as short-term thunderstorms and strong convective weather. Obviously, in this case, it is necessary to remove abrupt data.

[0088] In the power system, whether continuous monitoring is performed after a sudden data change or not, it is necessary to verify whether the data has changed.

[0089] The so-called abrupt change data refers to data that, compared with at least two previous leakage current data and at least two subsequent leakage current data, shows a sudden increase or decrease. The method for setting the sudden increase and decrease is mainly determined by setting a difference threshold. By setting the threshold, the abrupt change rule is set.

[0090] S122. Set all pre-processed leakage currents into the curve according to the acquisition time of historical leakage current data to obtain the steady-state change curve of leakage current.

[0091] The purpose of this step is to construct the preprocessed leakage current value into the curve to obtain the steady-state change curve, thereby laying the foundation for subsequent theoretical analysis.

[0092] This involves taking the historical data of each leakage current after preprocessing and constructing it into a curve according to the corresponding time sequence to obtain the preprocessed leakage current.

[0093] The beneficial effect of step S120 is that it enables reasonable preprocessing of historical leakage current data for further data analysis.

[0094] As described in step S130, the purpose of this step is to define and limit the way environmental information is set and summarized, thereby simplifying the processing steps for environmental information. Specifically:

[0095] S131. Obtain the leakage current detection time of each surge arrester and the corresponding environmental type data to obtain the corresponding environmental information.

[0096] The purpose of this step is to categorize the obtained environmental data according to the type of environment in which they exist.

[0097] For environmental types, this includes all effectively recorded data such as temperature, humidity, wind speed, light intensity, and light duration.

[0098] For each environmental type obtained, it is necessary to record the environmental information recorded within the power system to obtain the corresponding environmental information for each environmental type.

[0099] S132. Set similar value intervals for environmental data within each environmental type to obtain similar value intervals for all environmental types.

[0100] The purpose of this step is to set similar numerical ranges for environmental data within each environmental type, and then a group of similar environmental data can be constructed as a whole.

[0101] For each type of environmental data obtained, the similarity range of values ​​needs to be determined based on the threshold difference between two adjacent values. That is, if the value is within the threshold range, it is considered a similar value; otherwise, it is not.

[0102] One way to set the threshold for the difference between two adjacent values ​​of environmental data is to set it based on the design and application indicators of the surge arrester, and to obtain the average value of seasonal climate indicators, such as the difference between the average values ​​of meteorological records of various environmental data such as temperature, humidity, sunshine duration, light intensity, and wind force in autumn and winter. Of course, it can also be set directly by technicians.

[0103] This requires ensuring that, within all obtained numerical ranges, each environmental type is divided into corresponding similar numerical ranges based on actual conditions, and that similar numerical ranges for all environmental data are defined throughout the entire historical leakage current data collection period.

[0104] S133. Obtain environmental data groups in each surge arrester where all environmental data at adjacent leakage current detection times are within similar numerical ranges of the corresponding environmental type, to obtain similar environmental data groups.

[0105] The purpose of this step is to consider that the analysis of surge arrester leakage current does not analyze the impact of a single environmental factor on the surge arrester leakage current, but rather the combined effect of all environmental factors. Therefore, these environmental factors need to be grouped for processing, which facilitates subsequent environmental element analysis.

[0106] Specifically, the detection time corresponding to the historical leakage current data of each surge arrester is obtained to obtain the environmental data set corresponding to that detection time.

[0107] This requires matching the environmental information groups corresponding to the leakage current detection times of adjacent surge arresters, and analyzing all environmental type data within the two environmental data groups corresponding to these two adjacent detection time points.

[0108] Specifically, when two environmental type data points of all environmental types are within the similar numerical range of that environmental type, then the environmental type data is considered to be similar environmental data.

[0109] Only when all environmental type data obtained at adjacent detection time points belong to similar environmental data can the adjacent surge arrester leakage current detection time be considered to be in the same similar environmental data group. If there is even one environmental type data that is not similar environmental data, they are not in the same similar environmental data group.

[0110] This involves determining whether the leakage current detection times of all adjacent surge arresters fall within the same similar environmental data group, thereby identifying all similar environmental data groups in the historical leakage current data of the surge arresters. For example... Figure 2 The diagram shown is a similar environmental data group of an online monitoring method for leakage current of a surge arrester provided in an embodiment of this application. Each dashed box represents a similar environmental data group, and the curves after environmental type 1 to 3 represent the environmental data of that environmental type. All environmental data are located at the corresponding time on the time axis of the historical leakage current data.

[0111] The beneficial effect of step S130 is that by setting up a similar environmental data group, all environmental factors are treated as a whole environmental impact factor, which greatly simplifies the analysis difficulty. At the same time, the environmental parameters of the lightning arrester installation location change with the four seasons, so as to carry out the cyclical impact analysis of environmental factors.

[0112] As described in step S140, the purpose of this step is to determine the actual correlation between environmental factors and surge arrester leakage current, in order to judge the effect of the natural environment on the surge arrester leakage current during operation. Specifically:

[0113] S141. Obtain the acquisition time of the historical leakage current data for each surge arrester, obtain the similar environmental data group at the acquisition time, and set the similar environmental data group into the steady-state change curve of the leakage current.

[0114] The purpose of this step is to identify the environmental data set experienced by the surge arrester during operation, which will be used to determine the impact of similar environmental data sets on the leakage current of the surge arrester in subsequent operations.

[0115] Among them, all the data collection times were used to obtain historical data on the leakage current of surge arresters.

[0116] Among them, the data collection time of all historical leakage current data of surge arresters is the similar environmental data group in which these data collection times are located.

[0117] This requires identifying all similar environmental data sets present in the historical leakage current data of each surge arrester.

[0118] Among them, all similar environmental data sets for each surge arrester are represented in their corresponding steady-state change curves, which can be directly marked on the horizontal axis, thus linking the two pieces of information.

[0119] S142. Obtain the duration of each similar environmental data group from all historical leakage current data of each surge arrester.

[0120] The purpose of this step is to treat the surge arrester leakage current in each similar environmental data group as a uniformly changing state in order to simplify the calculation in the obtained historical data of surge arrester leakage current. In order to obtain the overall prediction result and the subsequent short-term prediction result, it is necessary to obtain the duration of each similar environmental data group.

[0121] The duration of the similar environmental data group is obtained by taking the difference between the maximum and minimum acquisition times of the historical data of surge arrester leakage current contained in the similar environmental data group.

[0122] This requires obtaining the duration of all similar environmental data groups and arranging the similar environmental data groups according to the timeline of the entire surge arrester leakage current historical data collection to obtain the duration of each similar environmental data group.

[0123] S143. Obtain the start and end times of all similar environmental data groups within each surge arrester, and the corresponding start and end leakage currents.

[0124] The purpose of this step is to analyze the rate of change of the surge arrester leakage current within each similar environmental data group after treating the change as a uniform change. To achieve this, it is necessary to obtain the surge arrester leakage current at the start and end time points within each similar environmental data group.

[0125] Specifically, after obtaining the start and end times of all similar environmental data sets for each surge arrester, the surge arrester leakage current corresponding to these two times is obtained.

[0126] Once the initial leakage current and the final leakage current are obtained, they can be used in subsequent detailed analysis processes.

[0127] S144. Based on the corresponding initial leakage current and final leakage current, and the duration of the corresponding similar environmental data group, obtain the effect relationship of all similar environmental data groups on leakage current within each surge arrester.

[0128] The purpose of this step is to determine the effect of each similar environmental data set on the leakage current during the operation of the surge arrester, in order to explore the specific impact of environmental factors on the leakage current of the surge arrester. Specifically:

[0129] S1441. Sort all identical similar environmental data groups by the acquisition time of leakage current historical data, and obtain the same similar environmental data group sequence number.

[0130] The purpose of this step is to understand that, during the operation of a surge arrester, the leakage current generated under the same environmental data varies with the extension of the operating time. Based on practical experience, it has been found that the longer the operating time, the greater the leakage current. Therefore, in the specific analysis of leakage current changes, it is also necessary to introduce the position of similar environmental data groups on the leakage current historical data acquisition time axis, so as to analyze the specific performance of leakage current under different operating times of the surge arrester in the same similar environmental data group.

[0131] In this process, based on the historical leakage current data, it is necessary to obtain the positions of all similar environmental data groups on the time axis according to the monitoring time of the leakage current.

[0132] For all the identical and similar environmental data groups generated, only labels need to be set.

[0133] S1442. Based on the duration of all similar environmental data groups of the surge arrester, and the corresponding starting leakage current and ending leakage current, obtain the correspondence between leakage current difference, similar environmental data group number, and duration.

[0134] The purpose of this step is to establish a correspondence between the leakage current difference, the corresponding similar environmental data group, and the duration for each similar environmental data group. Based on the established relationship, the relationship between the leakage current difference and the duration can be determined in different similar environmental data groups.

[0135] Specifically, for each similar environment data group number, it is necessary to obtain the correspondence between the leakage current difference and the duration to obtain the coordinates of the leakage current difference and the duration, and construct the coordinate points of the corresponding relationship based on the similar environment data group number.

[0136] To ensure data consistency, after obtaining the leakage current difference and duration for each set of data, the ratio of these two values ​​is calculated to determine the rate of change of the leakage current difference within the similar environmental data set. The equation is as follows:

[0137] ,

[0138] Among them, R i t represents the rate of change of leakage current difference in the i-th similar environmental data group; i This represents the duration of the i-th similar environmental data group; This represents the leakage current difference of the i-th similar environmental data group; i represents the sequence number of the similar environmental data group.

[0139] Specifically, the leakage current difference across all similar environmental data groups is normalized. This involves obtaining the average duration of all identical similar environmental data groups and using this average as the baseline duration. Then, the leakage current difference corresponding to the sequence number of each similar environmental data group is calculated using the following equation:

[0140] ,

[0141] Among them, I i This represents the normalized leakage current difference of the i-th similar environmental data set; represents the average duration of all identical and similar environmental data groups; j represents the total number of identical and similar environmental data group indices.

[0142] After obtaining the normalized leakage current difference and the average duration, curves are constructed. For example... Figure 3 The diagram shows the correspondence between leakage current difference, similar environment data group number, and duration in an online monitoring method for surge arrester leakage current provided in this application embodiment. The diagram shows leakage current data after time normalization. The dashed lines represent projection lines, indicating the curve's position in the three-dimensional coordinate system and have no actual physical meaning. The solid curves represent leakage current differences. During processing, the obtained curves can be segmented to obtain piecewise equations, or simplified to a straight line. It should be noted that this diagram only shows one type of similar environment data group, not all similar environment data groups.

[0143] S1443. Based on the correspondence between the leakage current difference, the serial number of the similar environment data group, and the duration, establish a simulation equation for the leakage current difference caused by the same similar environment data group during the operation of the surge arrester.

[0144] The purpose of this step is to obtain the leakage current difference parameter induced by all similar environmental data sets during the operation of the surge arrester. Specifically, after obtaining the correspondence between leakage current difference, similar environmental data set number, and duration, and establishing a normalized curve, simulation equations are constructed for this curve.

[0145] S1444. Based on the simulation equation of the leakage current difference caused by all the same similar environmental data sets during the operation of the surge arrester, and the connection relationship between the similar environmental data sets, obtain the effect relationship of all similar environmental data sets on the leakage current in each surge arrester.

[0146] The purpose of this step is to conduct a detailed analysis of the leakage current of the surge arrester in order to determine the specific impact pattern of environmental factors on the leakage current during the operation of the surge arrester.

[0147] Among them, during the acquisition of historical leakage current data of surge arresters, all similar environmental data groups existing on its time axis are obtained.

[0148] This requires considering the sequence of all similar environmental data groups included during the historical leakage current data acquisition period. The sequence refers to the pairwise adjacent patterns of all similar environmental data groups on the time axis.

[0149] Among them, based on the connection relationship between all similar environmental data groups, and the leakage current difference data caused by the running time of each similar environmental data group during the operation of the surge arrester, the effect of all similar environmental data groups on the leakage current during the operation of each surge arrester is obtained. This effect is the theoretical state of the environmental state on the leakage current of the surge arrester.

[0150] The beneficial effect of step S140 is that, by specifically analyzing the effect of environmental parameters on the leakage current difference of the surge arrester during its operation, the leakage current difference within the start and end time period of the similar environmental data set under the influence of the natural environment can be found, so as to quantitatively describe the environmental impact. In addition, considering that the leakage current difference generated during a similar environmental data set is often small during the operation of the surge arrester, by using this value as the specific leakage current value at the end of the time period of the similar environmental data set, data deviation and interference can be effectively avoided, and the robustness of the system operation can be improved.

[0151] As described in step S150, the purpose of this step is that, after obtaining the relationship between the effects of all similar environmental data sets on the leakage current within each surge arrester, it is clear that the surge arrester leakage current can be calculated based on the analysis results over a subsequent period, thus being used in the subsequent monitoring resource allocation process. Specifically:

[0152] S151. Obtain all predicted similar environment data sets during the period from the surge arrester to the next leakage current detection time.

[0153] The purpose of this step is to predict the environmental parameters for the next time period during the operation of the surge arrester, thereby determining the similar environmental data group to which it belongs, and based on the prediction results, to determine the leakage current at the next time point.

[0154] This requires obtaining the next leakage current detection time based on the latest detection time of the obtained historical leakage current data and based on the leakage current detection time frequency of the surge arrester.

[0155] Among them, all environmental data at the next leakage current detection time are obtained based on weather forecasts or other means.

[0156] Specifically, all environmental data obtained at the next leakage current detection time are compared with all environmental value ranges within the established similar environmental data group to find all similar environmental data groups that exist during the next leakage current detection time.

[0157] This process also requires obtaining the duration of all existing similar environmental data groups during the time it takes for the surge arrester to reach the next leakage current detection time. Based on the duration of each similar environmental data group and the total operating time of the surge arrester, leakage current difference prediction is performed, followed by leakage current prediction.

[0158] S152. Based on the total operating time of each surge arrester, obtain the theoretical leakage current for the total operating time.

[0159] The purpose of this step is to simultaneously obtain the total operating time of each surge arrester, given that the historical leakage current data of each surge arrester has been determined, and then, based on this parameter, obtain the theoretical leakage current of the surge arrester based on the obtained theoretical operating time.

[0160] The total operating time of a surge arrester refers to the operating time from the time the surge arrester is assembled to the current time.

[0161] This requires obtaining the latest leakage current from the steady-state variation curve of the leakage current during the operation of each surge arrester, in order to obtain the calculation benchmark for the theoretical leakage current.

[0162] In this process, once a calculation baseline is obtained, all similar environmental data groups and their corresponding durations from the calculation baseline to the current time node are acquired. Based on the correspondence between leakage current difference, similar environmental data group number, and duration, the leakage current that can be generated during the duration of each similar environmental data group is obtained and accumulated to obtain the theoretical leakage current for the total running time.

[0163] The reason for determining the theoretical leakage current based on the relationship between the leakage current and operating time of the surge arrester is that the operating time of different surge arresters may vary, and the parameters such as the monitoring time interval and whether continuous monitoring is used may also differ. Therefore, it is necessary to determine the theoretical leakage current for the total operating time under these circumstances for specific analysis. In addition, when determining the leakage current directly based on historical data, the leakage current obtained at the previous leakage current detection time point may be abrupt data, and the leakage current at the current time point has not yet been measured. Therefore, it is necessary to calculate the theoretical leakage current at the current time point based on the relationship between the leakage current and operating time of the surge arrester.

[0164] S153. Based on the theoretical leakage current of the total running time, obtain the theoretical leakage current for the next leakage current detection time.

[0165] The purpose of this step is to predict the theoretical leakage current for the next leakage current detection time after obtaining the theoretical leakage current for the total operating time, thereby obtaining the prediction result. Specifically:

[0166] S1531. Obtain the total running time and the duration of the next leakage current detection time to obtain the prediction analysis duration.

[0167] The purpose of this step is to determine the duration of predictive analysis included in the specific analysis period.

[0168] Specifically, the difference between the current highest time point corresponding to the total runtime and the next leakage current detection time point is obtained to get the prediction analysis duration.

[0169] S1532. Obtain the prediction duration corresponding to all prediction similar environment data groups that exist within the prediction analysis duration.

[0170] The purpose of this step is to predict the duration of all similar environmental data sets that exist within the predictive analysis period.

[0171] This includes acquiring all similar environmental data sets within the obtained predictive analysis period, as well as factors such as the environmental cycle change period and duration of all similar environmental data sets.

[0172] Specifically, the total difference between all similar environmental data groups is obtained within the time interval from the current time node corresponding to the total running time to the next leakage current detection time.

[0173] The theoretical leakage current of each surge arrester is obtained by summing the total difference obtained and the theoretical leakage current of the total operating time.

[0174] Among them, the predicted duration of all similar environmental data sets obtained within the predicted analysis period, based on weather forecasts and other means, can then be calculated.

[0175] S1533. Based on the relationship between similar environmental data groups and leakage current, obtain the leakage current change rate of all predicted similar environmental data groups within the prediction analysis period, so as to obtain the leakage current change rate within the similar environmental data groups.

[0176] The purpose of this step is to predict the changes in leakage current over a period of time. This is based on obtaining the leakage current change rate and combining it with the duration of the corresponding prediction similar environment data set, so that the predicted leakage current at the next leakage current detection time can be obtained.

[0177] Based on the relationship between the obtained similar environmental data sets and the leakage current, the difference in leakage current after time normalization can be determined within the time period when the next similar environmental data set appears, based on this equation.

[0178] The ratio of the leakage current difference to the normalized time length is obtained as the leakage current change rate within the similar environmental data set.

[0179] S1534. Based on the leakage current change rate within the similar environmental data group and the duration of the existing similar environmental data group, obtain the theoretical leakage current of each surge arrester.

[0180] The purpose of this step is to finally determine the theoretical leakage current of the surge arrester at the next leakage current detection time.

[0181] Specifically, the leakage current difference within the duration of all similar environmental data sets and the corresponding leakage current change rate are multiplied during the predictive analysis period of each surge arrester's operation.

[0182] Among them, the total value of leakage current difference under the action of all predicted similar environmental data groups is obtained.

[0183] The theoretical leakage current of each surge arrester is obtained by summing the total difference obtained and the theoretical leakage current of the total operating time.

[0184] The beneficial effect of step S150 is that it significantly improves the accuracy of the theoretical leakage current obtained at the next leakage current detection time point, thereby improving the overall execution accuracy of the method.

[0185] The beneficial effect of step S160 is that it determines the leakage current deviation rate of the surge arrester, thereby analyzing the deviation between the prediction results and the time results, and providing a quantitative description of the prediction effectiveness. Specifically:

[0186] S161. When each surge arrester reaches the next leakage current detection time, obtain the measured leakage current of the surge arrester.

[0187] The purpose of this step is to measure the actual value of the leakage current to obtain a basis for comparison.

[0188] Specifically, the leakage current of the surge arrester is measured when the next leakage current detection time arrives.

[0189] The obtained value is determined as the measured leakage current of the surge arrester.

[0190] S162. Based on the measured leakage current and theoretical leakage current of each surge arrester, obtain the leakage current deviation rate of each surge arrester.

[0191] The purpose of this step is to obtain the prediction accuracy of the theoretical leakage current.

[0192] In this process, the measured leakage current and the theoretical leakage current of each surge arrester are compared, and the leakage current deviation rate is calculated based on the higher value.

[0193] The equation for calculating the leakage current deviation is as follows:

[0194] ,

[0195] Where r represents the leakage current deviation rate; I f Indicates the measured leakage current; I t This represents the theoretical leakage current.

[0196] The beneficial effect of step S160 is that it realizes the correlation between the theoretical leakage current and the measured leakage current of each surge arrester, and performs a prediction accuracy analysis of the leakage current based on the correlation result.

[0197] As described in step S170, the purpose of this step is to rationally allocate online monitoring resources for surge arrester leakage current in order to improve the efficiency and accuracy of analysis and monitoring. Specifically:

[0198] S171. Obtain the percentage of leakage current deviation for each surge arrester.

[0199] The purpose of this step is to define the allocation method for the online monitoring resources of leakage current for each surge arrester.

[0200] Among them, the leakage current deviation rate generated during the operation of all surge arresters is obtained.

[0201] Specifically, the leakage current deviation rate of each surge arrester is obtained by calculating the sum of the leakage current deviation rates, and then calculating the ratio of the leakage current deviation rate of each surge arrester to the sum of the leakage current deviation rates.

[0202] S172. Based on the proportion of leakage current deviation rate, allocate the leakage current monitoring resources of surge arresters in the power grid to obtain the monitoring resource allocation results.

[0203] The purpose of this step is to allocate testing resources.

[0204] The leakage current deviation rate of each surge arrester is used as the allocation ratio of leakage current detection resources. The two are then multiplied to obtain the monitoring resource allocation result for each surge arrester.

[0205] S173. Based on the monitoring resource allocation results, determine whether to analyze the causes of leakage current in surge arresters.

[0206] The purpose of this step is to analyze and determine the specific causes of leakage current based on the obtained monitoring resource allocation results.

[0207] Whether or not to conduct leakage current cause analysis is determined by the monitoring resource allocation results. Technical personnel can directly set the analysis rules, or they can obtain the results and only conduct cause analysis on the leakage current of surge arresters that exceeds the average value of the monitoring resource allocation.

[0208] The beneficial effect of step S170 is that it enables the rational allocation of leakage current monitoring resources for surge arresters, thereby improving the rationality and effectiveness of the application of monitoring resources.

[0209] The beneficial effects of this application include:

[0210] 1. Achieved rational allocation of monitoring resources. In the technical solution of this application, the leakage current deviation rate of each surge arrester was finally set. Then, the specific amount of monitoring resources allocated to each surge arrester during the operation of the entire power grid was analyzed. This amount of resources can be directly used to adjust the monitoring time interval for that surge arrester, the detection time length of each leakage current, and the accuracy and depth of the cause analysis of leakage current, etc., thereby rationally configuring the monitoring resources for leakage current of surge arresters during power grid operation to meet the stable operation requirements of the entire power grid.

[0211] 2. Improved monitoring accuracy of leakage current. The technical solution of this application employs two methods for monitoring leakage current: theoretical leakage current and measured leakage current. For the theoretical leakage current, all historical data is analyzed, and then the measured leakage current is used for comparison and monitoring resource allocation. The theoretical leakage current value is actually updated in real time, ensuring that a specific and accurate leakage current variation pattern over time is established for each surge arrester during continuous system operation, thereby significantly improving monitoring accuracy.

[0212] 3. Ensures efficient leakage current monitoring. In the technical solution of this application, a dedicated leakage current change result is established for each surge arrester, and verified based on the measured leakage current. If the deviation rate is too high, it means that the surge arrester may have experienced a sudden failure. For that surge arrester, more online monitoring resources will be allocated to it, so that more comprehensive and complete monitoring operations can be applied to the leakage current of the surge arrester based on more online monitoring resources, thereby fully ensuring the efficiency of leakage current monitoring.

[0213] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to computer program instructions. The aforementioned computer program can be stored in a non-volatile storage medium, and when executed, it performs the steps of the above method embodiments. Alternatively, if the integrated unit of the present invention is implemented as a software functional module and sold or used as an independent product, it can also be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions to cause an electronic device (which may be a personal computer, server, network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention.

[0214] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. An online monitoring method for leakage current of a surge arrester, characterized in that, The monitoring method includes: Obtain historical leakage current data for each surge arrester, and obtain the corresponding environmental information for the leakage current detection time of each surge arrester; The historical leakage current data of each surge arrester is preprocessed to obtain the steady-state variation curve of the leakage current; Based on the corresponding environmental information of the leakage current detection time of each surge arrester, a similar environmental data group is established; Based on the aforementioned similar environment data set, the relationship between the effects of all similar environment data sets on leakage current within each surge arrester is obtained; Based on the aforementioned interaction relationship and the total operating time of each surge arrester, the theoretical leakage current of each surge arrester is obtained; Obtain the measured leakage current of each surge arrester, and based on the theoretical leakage current of the surge arrester, obtain the leakage current deviation rate of each surge arrester; Based on the leakage current deviation rate of each surge arrester, online monitoring resources are allocated for leakage current of each surge arrester, and it is determined whether to perform monitoring result analysis.

2. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, The acquisition of historical leakage current data for each surge arrester, and the acquisition of corresponding environmental information for the leakage current detection time of each surge arrester, include: The historical operating data of each surge arrester is obtained from the power grid system database, and the historical leakage current data of each surge arrester is obtained from it. Obtain the environmental information of each surge arrester corresponding to the leakage current detection time from the power grid system database; Based on the leakage current detection time of each surge arrester, a correspondence is established between the historical leakage current data of each surge arrester and the corresponding environmental information.

3. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, The process of preprocessing the historical leakage current data for each surge arrester to obtain the steady-state variation curve of the leakage current includes: Obtain historical leakage current data for each surge arrester and remove abrupt changes to obtain the preprocessed leakage current. All pre-processed leakage currents were set into the curve according to the acquisition time of historical leakage current data to obtain the steady-state change curve of leakage current.

4. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, The corresponding environmental information based on the leakage current detection time of each surge arrester is used to establish a similar environmental data group, including: Obtain the leakage current detection time of each surge arrester and the corresponding environmental type data to obtain the corresponding environmental information; Set similar numerical intervals for environmental data within each environmental type to obtain similar numerical intervals for all environmental types; For each surge arrester, obtain a set of environmental data where all environmental data at adjacent leakage current detection times fall within similar numerical ranges for the corresponding environmental type, thus obtaining a set of similar environmental data.

5. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, Based on the similar environmental data set, the relationship between the effects of all similar environmental data sets on leakage current within each surge arrester is obtained, including: Acquire the historical leakage current data acquisition time for each surge arrester, obtain the similar environmental data group at the acquisition time, and set the similar environmental data group into the steady-state change curve of the leakage current; Obtain the duration of each similar environmental data group from all historical leakage current data of each surge arrester; Obtain the start and end times of all similar environmental data groups within each surge arrester, along with the corresponding start and end leakage currents; Based on the corresponding initial leakage current and final leakage current, and the duration of the corresponding similar environmental data set, the effect of all similar environmental data sets on the leakage current within each surge arrester is obtained.

6. The online monitoring method for leakage current of a surge arrester according to claim 5, characterized in that, Based on the corresponding initial leakage current and final leakage current, and the duration of the corresponding similar environmental data set, the relationship between the effects of all similar environmental data sets on the leakage current within each surge arrester is obtained, including: Sort all identical similar environmental data groups by the acquisition time of historical leakage current data, and obtain the same similar environmental data group sequence number; Based on the duration of all similar environmental data groups of the surge arrester, and the corresponding starting leakage current and ending leakage current, obtain the correspondence between leakage current difference - similar environmental data group number - duration. Based on the correspondence between the leakage current difference, the serial number of the similar environment data group, and the duration, a simulation equation is established for the leakage current difference caused by the same similar environment data group during the operation of the surge arrester. Based on the simulation equations of the leakage current difference caused by all the same similar environmental data sets during the operation of the surge arrester, and the connection relationship between the similar environmental data sets, the effect relationship of all similar environmental data sets on leakage current within each surge arrester is obtained.

7. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, Based on the aforementioned interaction relationship and the total operating time of each surge arrester, the theoretical leakage current of each surge arrester is obtained, including: Acquire all predicted similar environment data sets during the period when the surge arrester reaches the next leakage current detection time; Based on the total operating time of each surge arrester, obtain the theoretical leakage current for the total operating time; Based on the theoretical leakage current of the total running time, obtain the theoretical leakage current at the next leakage current detection time.

8. The online monitoring method for leakage current of a surge arrester according to claim 7, characterized in that, The theoretical leakage current based on the total running time, and the theoretical leakage current for the next leakage current detection time, include: Obtain the total runtime and the duration of the next leakage current detection time to obtain the predictive analysis duration; Obtain the prediction duration corresponding to all prediction-similar environmental data groups that exist within the prediction analysis period; Based on the relationship between similar environmental data sets and leakage current, the leakage current change rate of all predicted similar environmental data sets within the prediction analysis period is obtained to obtain the leakage current change rate within the similar environmental data sets. Based on the leakage current change rate within a similar environmental data set and the duration of the similar environmental data set, the theoretical leakage current of each surge arrester is obtained.

9. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, The process of obtaining the measured leakage current of each surge arrester and, based on the theoretical leakage current of the surge arrester, obtaining the leakage current deviation rate of each surge arrester includes: When each surge arrester reaches the next leakage current detection time, the measured leakage current of the surge arrester is obtained; Based on the measured leakage current and theoretical leakage current of each surge arrester, the leakage current deviation rate of each surge arrester is obtained.

10. The online monitoring method for leakage current of a surge arrester according to claim 1, characterized in that, Based on the leakage current deviation rate of each surge arrester, online monitoring resources are allocated for the leakage current of each surge arrester, and it is determined whether to perform monitoring result analysis, including: Obtain the leakage current deviation rate percentage for each surge arrester; Based on the proportion of leakage current deviation rate, the leakage current monitoring resources of surge arresters in the power grid are allocated to obtain the monitoring resource allocation results. Based on the monitoring resource allocation results, determine whether to analyze the causes of leakage current in surge arresters.

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