CN118050600B - Distribution network fault positioning system based on distributed traveling wave measurement - Google Patents
Distribution network fault positioning system based on distributed traveling wave measurement Download PDFInfo
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Abstract
The invention discloses a distribution network fault positioning system based on distributed traveling wave measurement, relates to the technical field of distribution network fault positioning, and aims to solve the problem that the position of a fault cannot be accurately confirmed after the distribution network fails. The invention uses the current transformer and the voltage transformer to sample data, can ensure the integrity and the accuracy of the sampled data, provides a reliable basis for the subsequent data processing and analysis, extracts the traveling wave signal characteristics through a wavelet transformation method, can effectively extract key characteristics in traveling wave signals, provides a basis for the subsequent basic data confirmation, extracts the traveling wave signal characteristics through the wavelet transformation method and compares the traveling wave signal characteristics with standard traveling wave data, can improve the data processing efficiency, can improve the failure processing efficiency through accurate failure positioning, reduces the time and the cost of failure investigation, and can optimize the distribution of monitoring resources through classifying and counting the distribution network current and voltage data.
Description
Technical Field
The invention relates to the technical field of distribution network fault positioning, in particular to a distribution network fault positioning system based on distributed traveling wave measurement.
Background
The distribution network fault positioning refers to rapidly and accurately finding out the position and reason of fault occurrence through analyzing various data in a power system.
The Chinese patent with publication number CN115128394A discloses a distribution network fault positioning method, a device, equipment and a storage medium, mainly by acquiring traveling wave data of two traveling waves of a distribution network, searching subscripts of mutation maximum values of two traveling wave sequences; calculating a traveling wave slope list according to the traveling wave data and the subscript of the mutation maximum value; according to the traveling wave slope list, the traveling wave head position is searched, and the fault point position is determined according to the traveling wave head position, the traveling wave head point time, the equipment sampling rate and the distance between the two equipment, so that the calculated amount and the calculated time can be reduced, the related variables are few, the introduced errors are few, the fault positioning accuracy is improved, and the scheme solves the fault positioning method, but has the following problems in actual operation:
1. the position of the fault traveling wave is not positioned more accurately, so that the fault traveling wave in the distribution network cannot be accurately prompted.
2. The acquisition port is not effectively monitored, so that the port cannot be accurately positioned when the voltage data and the current data are abnormal.
Disclosure of Invention
The invention aims to provide a distribution network fault positioning system based on distributed traveling wave measurement, which uses a current transformer and a voltage transformer to sample data, can ensure the integrity and the accuracy of sampled data, provides a reliable basis for subsequent data processing and analysis, extracts traveling wave signal characteristics through a wavelet transformation method, can effectively extract key characteristics in traveling wave signals, provides a basis for subsequent basic data confirmation, extracts traveling wave signal characteristics through the wavelet transformation method and compares the traveling wave signal characteristics with standard traveling wave data, can improve the data processing efficiency, can improve the fault processing efficiency through accurate fault positioning, reduces the time and the cost of fault detection, can optimize the distribution of monitoring resources through classifying and counting distribution network current and voltage data, and can solve the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
distribution network fault positioning system based on distributed traveling wave measurement includes:
The distribution network data acquisition unit is used for:
Collecting distribution network data from each collection port of the distribution network, monitoring ports before collecting the distribution network data, carrying out classification statistics according to the data characteristics of the monitoring data of each port, and marking the monitoring data after classification statistics as target distribution network data;
The acquired data analysis unit is used for:
Extracting fault traveling waves in the target distribution network data, confirming fault positions according to the time when the fault traveling waves reach each port, and marking the target distribution network data with the confirmed fault positions as standard fault data;
an abnormal data judging and positioning unit for:
Confirming the abnormal degree of the standard fault data, carrying out abnormal early warning of different degrees according to the abnormal degree, and sending an early warning instruction of each abnormal degree to the display terminal.
Preferably, the distribution network data acquisition unit includes:
The port monitoring module is used for:
the acquisition ports of the distribution network data are a voltage acquisition port and a current acquisition port, and each port is provided with a traveling wave measuring device;
confirming port reference parameters of the voltage acquisition port and the current acquisition port, wherein the port reference parameters are called from a database;
Confirming monitoring indexes of the voltage acquisition port and the current acquisition port according to the port reference parameters, and generating a monitoring plug-in according to a preset monitoring plug-in generation rule according to the monitoring indexes, wherein the monitoring plug-in generation rule is called from a database, and the monitoring plug-in carries a dynamic function library;
Extracting configuration parameters in the monitoring plug-in, adjusting the configuration parameters of the monitoring plug-in according to each preset function in the port reference parameter and obtaining a monitoring port corresponding to the monitoring plug-in according to an adjustment result.
Preferably, the distribution network data acquisition unit further includes:
The traveling wave measuring device performance detection module is used for detecting the running performance of the traveling wave measuring device and judging whether the traveling wave measuring device meets the functional requirement or not;
Wherein, traveling wave measuring device performance detection module includes:
the device parameter real-time acquisition module is used for acquiring the sampling speed and the resolution of the traveling wave measurement detection device in real time;
the initial performance parameter acquisition module is used for calculating and acquiring initial performance parameters of the traveling wave measurement device according to the sampling speed and the resolution; wherein the initial performance parameter is obtained by the following formula:
；
Wherein S c represents an initial performance parameter; n represents the number of unit time which the traveling wave measuring device runs and the unit time is 1s; v ci denotes the processor speed of the i-th unit time traveling wave test device; v 0 represents the minimum processor speed that can meet the acquisition speed requirement of the traveling wave measurement device; v i represents the acquisition speed of the traveling wave test device in the ith unit time; v 0 represents a preset acquisition speed threshold of the traveling wave measurement device; f i represents the acquisition resolution of the traveling wave test device in the ith unit time; f 0 represents the acquisition resolution of the acquisition speed threshold of the wave measuring device;
The running normal judging module is used for judging that the traveling wave measuring device is in a running normal state when the initial performance parameter of the traveling wave measuring device exceeds a preset parameter threshold value;
And the fault judging module is used for carrying out performance evaluation on the traveling wave measuring device when the initial performance parameter of the traveling wave measuring device does not exceed a preset parameter threshold value, obtaining a performance evaluation parameter and judging whether the traveling wave measuring device has a performance fault according to the performance evaluation parameter.
Preferably, the fault judging module includes:
the historical operation parameter acquisition module is used for calling the historical operation parameters of the traveling wave measurement device when the initial performance parameters of the traveling wave measurement device do not exceed the preset parameter threshold;
The speed and resolution data history retrieving module is used for retrieving the sampling speed history data and the sampling resolution history data of the travelling wave measurement data from the history operation parameters;
The sampling speed characterization parameter acquisition module is used for acquiring the sampling speed characterization parameter of the traveling wave measurement device by utilizing the sampling speed historical data; the sampling speed characterization parameter is obtained through the following formula:
；
Wherein C 01 represents a sampling rate characterization parameter; s 0 represents a preset parameter threshold; b i represents the noise ratio of the signals acquired by the ith unit time traveling wave measuring device; b 0 denotes a preset noise ratio threshold;
The acquisition resolution characterization parameter acquisition module is used for acquiring the sampling resolution characterization parameters of the traveling wave measurement device by utilizing the sampling resolution historical data; the sampling resolution characterization parameter is obtained through the following formula:
；
Wherein C 02 represents a sampling resolution characterizing parameter; s 0 represents a preset parameter threshold; b i represents the noise ratio of the signals acquired by the ith unit time traveling wave measuring device; b 0 denotes a preset noise ratio threshold;
And the fault judging and executing module is used for acquiring a performance evaluation parameter by utilizing the sampling speed characterization parameter and the sampling resolution characterization parameter, and judging that the traveling wave measuring device has abnormal operation when the performance evaluation parameter exceeds a preset evaluation parameter threshold.
Preferably, the operation process of the fault judging and executing module includes:
Extracting the acquisition speed characterization parameters and the acquisition resolution characterization parameters;
Comparing the acquisition speed characterization parameter with a preset speed characterization parameter threshold value to obtain a comparison result;
Comparing the acquisition resolution characteristic parameter with a preset resolution characteristic parameter threshold value to obtain a comparison result
When the acquisition speed characterization parameter and the acquisition resolution characterization parameter are both lower than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a first evaluation parameter model, wherein the structure of the first evaluation parameter model is as follows:
；
Wherein G 01 represents the performance evaluation parameter obtained by the first evaluation parameter model;
When the acquisition speed characterization parameter and the acquisition resolution characterization parameter are equal to or higher than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a second evaluation parameter model, wherein the structure of the second evaluation parameter model is as follows:
；
Wherein G 02 represents the performance evaluation parameter obtained by the second evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively;
When any one parameter of the acquisition speed characterization parameter and the acquisition resolution characterization parameter is equal to or higher than a corresponding preset characterization parameter threshold, acquiring a performance evaluation parameter by using a third evaluation parameter model, wherein the structure of the third evaluation parameter model is as follows:
；
Wherein G 03 represents the performance evaluation parameter obtained by the third evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively.
Preferably, the distribution network data acquisition unit further includes:
the monitoring data classification module is used for classifying the monitoring data;
based on the monitoring port corresponding to the monitoring plug-in obtained in the port monitoring module, sending a monitoring request instruction to the monitoring port, and butting the monitoring port corresponding to the monitoring plug-in with the acquisition port when the monitoring port receives the request instruction;
According to the docking result, the monitoring log file of the acquisition port is acquired through a preset time interval of the monitoring plug-in unit, and the data characteristics of the monitoring data in the monitoring log are extracted;
And classifying and counting the monitoring data according to the data characteristics, wherein the monitoring data are classified into distribution network current data and distribution network voltage data, and the distribution network current data and the distribution network voltage data are collectively called as target distribution network data.
Preferably, the collected data analysis unit includes:
the fault traveling wave confirming module is used for:
confirming traveling wave signals in the target distribution network data;
the method comprises the steps of carrying out data sampling on distribution network current data and distribution network voltage data through a current transformer and a voltage transformer, and obtaining first processing data after sampling is completed;
extracting traveling wave signal characteristics in the first processing data;
extracting traveling wave signal characteristics through a wavelet transformation method, and obtaining second processing data after extracting;
Confirming basic data of the traveling wave signals in the second processing data;
The basic data are propagation speed, amplitude, phase and propagation time data of the traveling wave signal, and the third processing data are obtained after the basic data are confirmed.
Preferably, the fault traveling wave confirmation module is further configured to:
comparing the third processing data with the standard traveling wave data;
Respectively comparing the basic data in the third processing data with the standard traveling wave data in a data numerical value manner;
judging whether the numerical value of the third processing data is in the numerical range of the standard traveling wave data according to the comparison result;
If the basic data is within the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is qualified distribution data;
if the data is not in the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is unqualified distribution data.
Preferably, the collected data analysis unit further includes:
a fault location confirmation module for:
extracting propagation speed data of traveling wave signals in unqualified distribution data;
calculating the time difference of the traveling wave signal reaching the traveling wave measuring device and the fault point for the first time according to the propagation speed data of the traveling wave signal in the unqualified distribution data;
obtaining the distance between the traveling wave measuring device and the fault point according to the calculated time difference;
And the distance between the traveling wave measuring device and the fault point is in data correspondence with unqualified distribution data;
and obtaining standard fault data after the data are corresponding.
Preferably, the abnormal data judging and positioning unit includes:
The abnormality degree confirmation module is used for:
confirming the distance value of the distance data between each traveling wave measuring device in the standard fault data and the fault point;
Carrying out abnormal grade distinction on the standard fault data according to the distance value;
wherein, the abnormal grades are respectively divided into a first-level abnormality, a second-level abnormality and a third-level abnormality.
Preferably, the abnormal data judging and positioning unit further includes:
The early warning display module is used for:
Respectively carrying out abnormality early warning of different degrees according to the abnormality grade;
the abnormal early warning comprises a primary early warning, a secondary early warning and a tertiary early warning respectively;
According to abnormal early warning of different degrees, early warning instructions with different intensities are respectively sent;
after the early warning instruction is sent to the display terminal, the staff performs scheme processing according to the degree of abnormal early warning.
Compared with the prior art, the invention has the following beneficial effects:
1. According to the distribution network fault positioning system based on distributed traveling wave measurement, the monitoring plug-in carries the dynamic function library, configuration parameters can be adjusted according to actual requirements, configuration flexibility is improved, the monitoring plug-in can be ensured to accurately correspond to corresponding monitoring ports by extracting the configuration parameters in the monitoring plug-in and adjusting according to port reference parameters, accordingly monitoring accuracy and reliability are improved, the monitoring log file is acquired through a preset time interval, data processing efficiency can be improved, data redundancy and repeated processing are reduced, distribution of monitoring resources can be optimized by classifying and counting distribution network current and voltage data, and important attention and monitoring on different types of data are ensured.
2. The distribution network fault positioning system based on distributed traveling wave measurement provided by the invention uses the current transformer and the voltage transformer to sample data, can ensure the integrity and accuracy of sampled data, provides a reliable basis for subsequent data processing and analysis, extracts traveling wave signal characteristics through a wavelet transformation method, can effectively extract key characteristics in traveling wave signals, provides a basis for subsequent basic data confirmation, extracts traveling wave signal characteristics through the wavelet transformation method and compares the traveling wave signal characteristics with standard traveling wave data, can improve the data processing efficiency, can improve the fault processing efficiency through accurate fault positioning, and reduces the time and cost of fault investigation.
Drawings
FIG. 1 is a schematic diagram of the module composition of a distribution network fault location system based on distributed traveling wave measurement according to the present invention;
Fig. 2 is a schematic diagram of a working flow of the distribution network fault positioning system based on distributed traveling wave measurement.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that in the prior art, when voltage data and current data in a distribution network are collected, an acquisition port is not effectively monitored, so that the port cannot be accurately positioned when the voltage data and the current data are abnormal, please refer to fig. 1 and 2, the embodiment provides the following technical proposal:
distribution network fault positioning system based on distributed traveling wave measurement includes:
The distribution network data acquisition unit is used for:
Collecting distribution network data from each collection port of the distribution network, monitoring ports before collecting the distribution network data, carrying out classification statistics according to the data characteristics of the monitoring data of each port, and marking the monitoring data after classification statistics as target distribution network data;
The acquired data analysis unit is used for:
Extracting fault traveling waves in the target distribution network data, confirming fault positions according to the time when the fault traveling waves reach each port, and marking the target distribution network data with the confirmed fault positions as standard fault data;
an abnormal data judging and positioning unit for:
Confirming the abnormal degree of the standard fault data, carrying out abnormal early warning of different degrees according to the abnormal degree, and sending an early warning instruction of each abnormal degree to the display terminal.
Specifically, the monitoring request instruction is sent to the monitoring port through the distribution network data acquisition unit, the monitoring data acquisition and processing can be realized in real time and efficiently by abutting the acquisition port in real time, the propagation speed data of the traveling wave signal in the unqualified distribution data is extracted through the acquisition data analysis unit, the time difference of the traveling wave signal reaching the traveling wave measurement device and the fault point is calculated, the distance between the traveling wave measurement device and the fault point can be determined, the fault with different severity degree is classified and early-warned through the abnormal data judging and positioning unit, the pertinence and the effectiveness of early-warning are improved, and the worker can select the instruction with the strongest early-warning strength to perform the fault processing preferentially according to the early-warning strength.
The distribution network data acquisition unit comprises:
The port monitoring module is used for:
the acquisition ports of the distribution network data are a voltage acquisition port and a current acquisition port, and each port is provided with a traveling wave measuring device;
confirming port reference parameters of the voltage acquisition port and the current acquisition port, wherein the port reference parameters are called from a database;
Confirming monitoring indexes of the voltage acquisition port and the current acquisition port according to the port reference parameters, and generating a monitoring plug-in according to a preset monitoring plug-in generation rule according to the monitoring indexes, wherein the monitoring plug-in generation rule is called from a database, and the monitoring plug-in carries a dynamic function library;
Extracting configuration parameters in the monitoring plug-in, adjusting the configuration parameters of the monitoring plug-in according to each preset function in the port reference parameter and obtaining a monitoring port corresponding to the monitoring plug-in according to an adjustment result.
The distribution network data acquisition unit further comprises:
The traveling wave measuring device performance detection module is used for detecting the running performance of the traveling wave measuring device and judging whether the traveling wave measuring device meets the functional requirement or not;
Wherein, traveling wave measuring device performance detection module includes:
the device parameter real-time acquisition module is used for acquiring the sampling speed and the resolution of the traveling wave measurement detection device in real time;
the initial performance parameter acquisition module is used for calculating and acquiring initial performance parameters of the traveling wave measurement device according to the sampling speed and the resolution; wherein the initial performance parameter is obtained by the following formula:
；
Wherein S c represents an initial performance parameter; n represents the number of unit time which the traveling wave measuring device runs and the unit time is 1s; v ci denotes the processor speed of the i-th unit time traveling wave test device; v 0 represents the minimum processor speed that can meet the acquisition speed requirement of the traveling wave measurement device; v i represents the acquisition speed of the traveling wave test device in the ith unit time; v 0 represents a preset acquisition speed threshold of the traveling wave measurement device; f i represents the acquisition resolution of the traveling wave test device in the ith unit time; f 0 represents the acquisition resolution of the acquisition speed threshold of the wave measuring device;
The running normal judging module is used for judging that the traveling wave measuring device is in a running normal state when the initial performance parameter of the traveling wave measuring device exceeds a preset parameter threshold value;
And the fault judging module is used for carrying out performance evaluation on the traveling wave measuring device when the initial performance parameter of the traveling wave measuring device does not exceed a preset parameter threshold value, obtaining a performance evaluation parameter and judging whether the traveling wave measuring device has a performance fault according to the performance evaluation parameter.
The technical effects of the technical scheme are as follows: the running performance of the device can be known in real time by collecting the sampling speed and the resolution of the traveling wave measuring device in real time. The possible problems or performance degradation of the device can be found in time, so that corresponding measures are taken for maintenance or adjustment. And judging whether the traveling wave measuring device is in a normal running state or not according to the initial performance parameter and a preset parameter threshold value. If the performance parameter of the device does not reach the threshold value, further performing performance evaluation, and judging whether the performance fault exists according to the performance evaluation parameter. This helps to discover and resolve the failure of the device in time, ensuring its proper operation.
Meanwhile, by detecting and evaluating the performance of the traveling wave measuring device, the device can be ensured to have higher accuracy and reliability when collecting data, so that the accuracy of the whole distribution network data collection is improved. By monitoring the performance parameters of the device in real time, the operation parameters or configuration of the device can be timely adjusted to optimize the operation state of the device, and the efficiency and quality of data acquisition are improved. And through real-time monitoring and fault judgment, the robustness of the whole distribution network data acquisition system can be enhanced, so that the system can better cope with various abnormal conditions, and the stable operation of the system is ensured.
In summary, the above technical solution can realize real-time performance detection, fault judgment and optimized operation of the traveling wave measurement device, thereby improving accuracy and reliability of distribution network data acquisition and enhancing robustness of the whole system.
Specifically, the fault judging module includes:
the historical operation parameter acquisition module is used for calling the historical operation parameters of the traveling wave measurement device when the initial performance parameters of the traveling wave measurement device do not exceed the preset parameter threshold;
The speed and resolution data history retrieving module is used for retrieving the sampling speed history data and the sampling resolution history data of the travelling wave measurement data from the history operation parameters;
The sampling speed characterization parameter acquisition module is used for acquiring the sampling speed characterization parameter of the traveling wave measurement device by utilizing the sampling speed historical data; the sampling speed characterization parameter is obtained through the following formula:
；
Wherein C 01 represents a sampling rate characterization parameter; s 0 represents a preset parameter threshold; b i represents the noise ratio of the signals acquired by the ith unit time traveling wave measuring device; b 0 denotes a preset noise ratio threshold;
The acquisition resolution characterization parameter acquisition module is used for acquiring the sampling resolution characterization parameters of the traveling wave measurement device by utilizing the sampling resolution historical data; the sampling resolution characterization parameter is obtained through the following formula:
；
Wherein C 02 represents a sampling resolution characterizing parameter; s 0 represents a preset parameter threshold; b i represents the noise ratio of the signals acquired by the ith unit time traveling wave measuring device; b 0 denotes a preset noise ratio threshold;
And the fault judging and executing module is used for acquiring a performance evaluation parameter by utilizing the sampling speed characterization parameter and the sampling resolution characterization parameter, and judging that the traveling wave measuring device has abnormal operation when the performance evaluation parameter exceeds a preset evaluation parameter threshold.
The technical effects of the technical scheme are as follows: by calling the historical operation parameters and combining the real-time performance parameters, the traveling wave measuring device can be subjected to more comprehensive fault judgment. This allows for not only real-time performance of the device, but also its operating conditions and parameter variations over time. By analyzing the historical operating parameters, possible malfunctions or performance degradation of the device may be predicted. Measures can be effectively taken in advance to maintain or adjust, and potential faults are prevented from affecting data acquisition.
By collecting the speed characterization parameters and the collection resolution characterization parameters, whether the traveling wave measuring device has abnormal operation or not can be judged more accurately. These parameters can provide detailed information about the performance of the device, helping to accurately identify the cause or location of the failure.
In addition, the reliability of the judgment can be improved by judging in combination with the history operation parameter, compared with the failure judgment based on the real-time performance parameter only. The historical data provides performance of the device at different points in time, so that the judgment is more comprehensive and accurate. Through the technical scheme, the fault of the traveling wave measuring device can be timely found, predicted and processed. The method is favorable for optimizing fault processing flow, shortening fault recovery time and improving continuity and stability of data acquisition of the whole distribution network.
In summary, the above technical scheme can realize comprehensive fault judgment of the traveling wave measurement device based on history and real-time data, improve reliability and accuracy of judgment, optimize fault processing flow, and ensure continuity and stability of distribution network data acquisition.
Specifically, the operation process of the fault judging and executing module comprises the following steps:
Extracting the acquisition speed characterization parameters and the acquisition resolution characterization parameters;
Comparing the acquisition speed characterization parameter with a preset speed characterization parameter threshold value to obtain a comparison result;
Comparing the acquisition resolution characteristic parameter with a preset resolution characteristic parameter threshold value to obtain a comparison result
When the acquisition speed characterization parameter and the acquisition resolution characterization parameter are both lower than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a first evaluation parameter model, wherein the structure of the first evaluation parameter model is as follows:
；
Wherein G 01 represents the performance evaluation parameter obtained by the first evaluation parameter model;
When the acquisition speed characterization parameter and the acquisition resolution characterization parameter are equal to or higher than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a second evaluation parameter model, wherein the structure of the second evaluation parameter model is as follows:
；
Wherein G 02 represents the performance evaluation parameter obtained by the second evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively;
When any one parameter of the acquisition speed characterization parameter and the acquisition resolution characterization parameter is equal to or higher than a corresponding preset characterization parameter threshold, acquiring a performance evaluation parameter by using a third evaluation parameter model, wherein the structure of the third evaluation parameter model is as follows:
；
Wherein G 03 represents the performance evaluation parameter obtained by the third evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively.
The technical effects of the technical scheme are as follows: by using three different evaluation parameter models, flexible fault judgment can be performed according to different states of the traveling wave measurement device. This helps to more accurately identify performance failures of the device under different conditions. And selecting a proper evaluation parameter model to perform performance evaluation according to the comparison result of the acquisition speed characterization parameter and the acquisition resolution characterization parameter with a preset threshold value. Thus, whether the traveling wave measuring device has abnormal operation or not can be judged more accurately.
By using the first, second and third evaluation parameter models, more accurate performance evaluation parameters can be obtained according to different states of the apparatus. The parameters can reflect the performance state of the device more comprehensively, and are helpful for accurately judging the fault cause or position. By using three evaluation parameter models, performance evaluation parameters can be acquired more quickly, thereby accelerating the flow of fault judgment and processing. This helps to improve the efficiency of fault handling and shortens the fault recovery time. By using a flexible fault judging mechanism, the robustness of the whole distribution network data acquisition system can be enhanced, so that the system can better cope with various abnormal conditions and ensure the stable operation of the system.
In summary, the above technical solution can flexibly perform fault judgment according to different states of the traveling wave measurement device, improve accuracy and efficiency of judgment, optimize acquisition of performance evaluation parameters, and enhance robustness of the whole system.
The monitoring data classification module is used for classifying the monitoring data;
based on the monitoring port corresponding to the monitoring plug-in obtained in the port monitoring module, sending a monitoring request instruction to the monitoring port, and butting the monitoring port corresponding to the monitoring plug-in with the acquisition port when the monitoring port receives the request instruction;
According to the docking result, the monitoring log file of the acquisition port is acquired through a preset time interval of the monitoring plug-in unit, and the data characteristics of the monitoring data in the monitoring log are extracted;
And classifying and counting the monitoring data according to the data characteristics, wherein the monitoring data are classified into distribution network current data and distribution network voltage data, and the distribution network current data and the distribution network voltage data are collectively called as target distribution network data.
Specifically, the generation rule of the preset monitoring plug-in is generated according to the port monitoring module, the generation process of the monitoring plug-in is simplified, and therefore the automation and intelligence level is improved, the monitoring plug-in carries a dynamic function library, configuration parameters can be adjusted according to actual demands, configuration flexibility is improved, the monitoring plug-in can be ensured to accurately correspond to a corresponding monitoring port by extracting the configuration parameters in the monitoring plug-in and adjusting according to port reference parameters, accordingly monitoring accuracy and reliability are improved, a large number of reference parameters and rules are stored in a database, management and calling are convenient, data consistency and integrity are improved, voltage and current changes in a distribution network can be monitored in real time through a traveling wave measuring device, potential problems can be found and solved in time, stability and reliability of the distribution network are improved, distribution of monitoring resources can be optimized through reasonable configuration parameter adjustment, close monitoring of key parts is ensured, meanwhile, waste of resources is avoided, a monitoring request instruction is sent to the monitoring port according to a monitoring data classification module, and the monitoring port is in real time and high-efficient, monitoring data and processing is achieved, the data acquisition time is convenient to store, the consistency and integrity are improved, the data distribution efficiency is improved, the data is not distributed and the data is more efficient and the data is more than the data is more focused, and the data is more efficient and the data is more focused and more focused.
In order to solve the problem that in the prior art, when fault detection is performed on a traveling wave signal of distribution network data, the position of a fault traveling wave is not positioned more accurately, so that the fault traveling wave in the distribution network cannot be accurately prompted, please refer to fig. 1 and 2, the embodiment provides the following technical proposal:
an acquisition data analysis unit comprising:
the fault traveling wave confirming module is used for:
confirming traveling wave signals in the target distribution network data;
the method comprises the steps of carrying out data sampling on distribution network current data and distribution network voltage data through a current transformer and a voltage transformer, and obtaining first processing data after sampling is completed;
extracting traveling wave signal characteristics in the first processing data;
extracting traveling wave signal characteristics through a wavelet transformation method, and obtaining second processing data after extracting;
Confirming basic data of the traveling wave signals in the second processing data;
The basic data are propagation speed, amplitude, phase and propagation time data of the traveling wave signal, and the third processing data are obtained after the basic data are confirmed.
Comparing the third processing data with the standard traveling wave data;
Respectively comparing the basic data in the third processing data with the standard traveling wave data in a data numerical value manner;
judging whether the numerical value of the third processing data is in the numerical range of the standard traveling wave data according to the comparison result;
If the basic data is within the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is qualified distribution data;
if the data is not in the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is unqualified distribution data.
A fault location confirmation module for:
extracting propagation speed data of traveling wave signals in unqualified distribution data;
calculating the time difference of the traveling wave signal reaching the traveling wave measuring device and the fault point for the first time according to the propagation speed data of the traveling wave signal in the unqualified distribution data;
obtaining the distance between the traveling wave measuring device and the fault point according to the calculated time difference;
And the distance between the traveling wave measuring device and the fault point is in data correspondence with unqualified distribution data;
and obtaining standard fault data after the data are corresponding.
Specifically, the current transformer and the voltage transformer are used for data sampling according to the fault traveling wave confirming module, so that the integrity and the accuracy of sampled data can be ensured, a reliable basis is provided for subsequent data processing and analysis, traveling wave signal characteristics are extracted through a wavelet transformation method, key characteristics in traveling wave signals can be effectively extracted, a basis is provided for subsequent basic data confirmation, whether the numerical value of third processing data is in a standard range can be judged through comparison with standard traveling wave data, and accordingly, the basic data is classified as being qualified or unqualified. The method is favorable for improving the evaluation accuracy and reliability of the distribution data, the traveling wave signal characteristics are extracted through a wavelet transformation method and compared with standard traveling wave data, the data processing efficiency can be improved, redundancy and repeated processing are reduced, the system performance and the data processing efficiency are improved, the propagation speed data of the traveling wave signals in the unqualified distribution data are extracted according to the fault position confirmation module, the time difference of the traveling wave signals reaching the traveling wave measuring device and the fault point is calculated, and the distance between the traveling wave measuring device and the fault point can be determined. The fault detection method is favorable for locating faults, providing important information for subsequent fault removal and repair, carrying out data correspondence on the distance between the traveling wave measuring device and the fault point and unqualified distribution data, and correlating the distance data with specific distribution data, so that the readability and practicality of the data are improved, the efficiency of fault treatment can be improved through accurate fault location, and the time and cost of fault detection are reduced. The method is favorable for quickly recovering the normal operation of the distribution network, and reduces the influence of faults on users, so that the accuracy of the specific position of the fault traveling wave in the distribution network is improved.
In order to solve the problem that in the prior art, after the position confirmation of the fault traveling wave is completed, no early warning with different intensities is performed according to the degree of fault abnormality, so that the maintenance effect is poor when a worker performs distribution network maintenance, please refer to fig. 1 and 2, the embodiment provides the following technical proposal:
an abnormal data judgment positioning unit comprising:
The abnormality degree confirmation module is used for:
confirming the distance value of the distance data between each traveling wave measuring device in the standard fault data and the fault point;
Carrying out abnormal grade distinction on the standard fault data according to the distance value;
wherein, the abnormal grades are respectively divided into a first-level abnormality, a second-level abnormality and a third-level abnormality.
The early warning display module is used for:
Respectively carrying out abnormality early warning of different degrees according to the abnormality grade;
the abnormal early warning comprises a primary early warning, a secondary early warning and a tertiary early warning respectively;
According to abnormal early warning of different degrees, early warning instructions with different intensities are respectively sent;
after the early warning instruction is sent to the display terminal, the staff performs scheme processing according to the degree of abnormal early warning.
Specifically, the distance value of the distance data between each traveling wave measuring device and the fault point in the standard fault data is confirmed through the abnormality degree confirmation module, fault data can be effectively managed and classified, a basis is provided for subsequent abnormality grade distinction, abnormality grade distinction is carried out on the standard fault data according to the distance value, faults of different severity degrees are facilitated to be classified, basis is provided for subsequent fault treatment and priority ranking, wherein the higher the distance value is, the greater the abnormality degree is, the maximum abnormality degree of primary abnormality is, the second abnormality is, the minimum abnormality degree of tertiary abnormality is, and therefore the efficiency and quality of fault treatment are improved, meanwhile, allocation of monitoring and fault treatment resources can be optimized, targeted treatment on faults of different grades is guaranteed, the efficiency of monitoring and fault treatment is improved, and different-degree abnormality early warning including primary early warning, secondary early warning and tertiary early warning can be carried out through the early warning display module. The method is favorable for classifying and early warning faults with different severity degrees, improves pertinence and effectiveness of early warning, and can remind workers to pay attention to and process the faults in time by sending early warning instructions in time, so that response speed of fault processing is improved. The method is favorable for reducing the influence of faults on the operation of the distribution network and reducing the loss caused by the faults, wherein the primary early warning corresponds to the primary abnormality, the secondary early warning corresponds to the secondary abnormality, the tertiary early warning corresponds to the tertiary abnormality, the early warning intensity of the primary early warning is strongest, the secondary early warning is weakest, and a worker can select an instruction with strongest early warning intensity to conduct fault treatment preferentially according to the early warning intensity.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Distribution network fault positioning system based on distributed traveling wave measurement, which is characterized by comprising:
The distribution network data acquisition unit is used for:
Collecting distribution network data from each collection port of the distribution network, monitoring ports before collecting the distribution network data, carrying out classification statistics according to the data characteristics of the monitoring data of each port, and marking the monitoring data after classification statistics as target distribution network data;
The acquired data analysis unit is used for:
Extracting fault traveling waves in the target distribution network data, confirming fault positions according to the time when the fault traveling waves reach each port, and marking the target distribution network data with the confirmed fault positions as standard fault data;
an abnormal data judging and positioning unit for:
Confirming the abnormal degree of the standard fault data, carrying out abnormal early warning of different degrees according to the abnormal degree, and sending an early warning instruction of each abnormal degree to a display terminal;
The distribution network data acquisition unit further comprises:
The traveling wave measuring device performance detection module is used for detecting the running performance of the traveling wave measuring device and judging whether the traveling wave measuring device meets the functional requirement or not;
Wherein, traveling wave measuring device performance detection module includes:
the device parameter real-time acquisition module is used for acquiring the sampling speed and the resolution of the traveling wave measurement detection device in real time;
The initial performance parameter acquisition module is used for calculating and acquiring initial performance parameters of the traveling wave measurement device according to the sampling speed and the resolution;
The running normal judging module is used for judging that the traveling wave measuring device is in a running normal state when the initial performance parameter of the traveling wave measuring device exceeds a preset parameter threshold value;
The fault judging module is used for carrying out performance evaluation on the traveling wave measuring device when the initial performance parameter of the traveling wave measuring device does not exceed a preset parameter threshold value, obtaining a performance evaluation parameter, and judging whether the traveling wave measuring device has a performance fault according to the performance evaluation parameter;
the fault judging module comprises:
the historical operation parameter acquisition module is used for calling the historical operation parameters of the traveling wave measurement device when the initial performance parameters of the traveling wave measurement device do not exceed the preset parameter threshold;
the speed and resolution data history retrieving module is used for retrieving sampling speed history data and sampling resolution history data of travelling wave measurement data from the history operation parameters;
the sampling speed characterization parameter acquisition module is used for acquiring the sampling speed characterization parameter of the traveling wave measurement device by utilizing the sampling speed historical data;
the sampling resolution characterization parameter acquisition module is used for acquiring sampling resolution characterization parameters of the traveling wave measurement device by utilizing the sampling resolution historical data;
The fault judging and executing module is used for acquiring a performance evaluation parameter by utilizing the sampling speed characterization parameter and the sampling resolution characterization parameter, and judging that the traveling wave measuring device has abnormal operation when the performance evaluation parameter exceeds a preset evaluation parameter threshold;
The operation process of the fault judgment execution module comprises the following steps:
extracting the sampling speed characterization parameters and the sampling resolution characterization parameters;
Comparing the sampling speed characterization parameter with a preset speed characterization parameter threshold value to obtain a comparison result;
Comparing the sampling resolution characteristic parameter with a preset resolution characteristic parameter threshold value to obtain a comparison result,
When the sampling speed characterization parameter and the sampling resolution characterization parameter are both lower than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a first evaluation parameter model, wherein the structure of the first evaluation parameter model is as follows:
；
wherein G 01 represents the performance evaluation parameter obtained by the first evaluation parameter model; c 01 represents a sampling rate characterization parameter; c 02 denotes a sampling resolution characterization parameter;
When the sampling speed characterization parameter and the sampling resolution characterization parameter are equal to or higher than the corresponding preset characterization parameter thresholds, acquiring performance evaluation parameters by using a second evaluation parameter model, wherein the structure of the second evaluation parameter model is as follows:
；
Wherein G 02 represents the performance evaluation parameter obtained by the second evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively;
When any one parameter of the sampling speed characterization parameter and the sampling resolution characterization parameter is equal to or higher than a corresponding preset characterization parameter threshold, acquiring a performance evaluation parameter by using a third evaluation parameter model, wherein the structure of the third evaluation parameter model is as follows:
；
Wherein G 03 represents the performance evaluation parameter obtained by the third evaluation parameter model; c y1 and C y2 represent a speed characteristic parameter threshold and a resolution characteristic parameter threshold, respectively.
2. The distribution network fault location system based on distributed traveling wave measurement according to claim 1, wherein: the distribution network data acquisition unit comprises:
The port monitoring module is used for:
the acquisition ports of the distribution network data are a voltage acquisition port and a current acquisition port, and each port is provided with a traveling wave measuring device;
confirming port reference parameters of the voltage acquisition port and the current acquisition port, wherein the port reference parameters are called from a database;
Confirming monitoring indexes of the voltage acquisition port and the current acquisition port according to the port reference parameters, and generating a monitoring plug-in according to a preset monitoring plug-in generation rule according to the monitoring indexes, wherein the monitoring plug-in generation rule is called from a database, and the monitoring plug-in carries a dynamic function library;
Extracting configuration parameters in the monitoring plug-in, adjusting the configuration parameters of the monitoring plug-in according to each preset function in the port reference parameter and obtaining a monitoring port corresponding to the monitoring plug-in according to an adjustment result.
3. The distribution network fault location system based on distributed traveling wave measurement according to claim 2, wherein: the distribution network data acquisition unit further comprises:
the monitoring data classification module is used for:
based on the monitoring port corresponding to the monitoring plug-in obtained in the port monitoring module, sending a monitoring request instruction to the monitoring port, and butting the monitoring port corresponding to the monitoring plug-in with the acquisition port when the monitoring port receives the request instruction;
According to the docking result, the monitoring log file of the acquisition port is acquired through a preset time interval of the monitoring plug-in unit, and the data characteristics of the monitoring data in the monitoring log are extracted;
And classifying and counting the monitoring data according to the data characteristics, wherein the monitoring data are classified into distribution network current data and distribution network voltage data, and the distribution network current data and the distribution network voltage data are collectively called as target distribution network data.
4. A distribution network fault location system based on distributed travelling wave measurement according to claim 3, characterized in that: the acquired data analysis unit includes:
the fault traveling wave confirming module is used for:
confirming traveling wave signals in the target distribution network data;
the method comprises the steps of carrying out data sampling on distribution network current data and distribution network voltage data through a current transformer and a voltage transformer, and obtaining first processing data after sampling is completed;
extracting traveling wave signal characteristics in the first processing data;
extracting traveling wave signal characteristics through a wavelet transformation method, and obtaining second processing data after extracting;
Confirming basic data of the traveling wave signals in the second processing data;
The basic data are propagation speed, amplitude, phase and propagation time data of the traveling wave signal, and the third processing data are obtained after the basic data are confirmed.
5. The distributed traveling wave measurement-based distribution network fault location system of claim 4, wherein: the fault traveling wave confirming module is further used for:
comparing the third processing data with the standard traveling wave data;
Respectively comparing the basic data in the third processing data with the standard traveling wave data in a data numerical value manner;
judging whether the numerical value of the third processing data is in the numerical range of the standard traveling wave data according to the comparison result;
If the basic data is within the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is qualified distribution data;
if the data is not in the numerical range of the standard traveling wave data, the basic data corresponding to the third processing data is unqualified distribution data.
6. The distributed traveling wave measurement-based distribution network fault location system of claim 5, wherein: the collected data analysis unit further includes:
a fault location confirmation module for:
extracting propagation speed data of traveling wave signals in unqualified distribution data;
calculating the time difference of the traveling wave signal reaching the traveling wave measuring device and the fault point for the first time according to the propagation speed data of the traveling wave signal in the unqualified distribution data;
obtaining the distance between the traveling wave measuring device and the fault point according to the calculated time difference;
And the distance between the traveling wave measuring device and the fault point is in data correspondence with unqualified distribution data;
and obtaining standard fault data after the data are corresponding.
7. The distributed traveling wave measurement-based distribution network fault location system of claim 6, wherein: the abnormal data judging and positioning unit comprises:
The abnormality degree confirmation module is used for:
confirming the distance value of the distance data between each traveling wave measuring device in the standard fault data and the fault point;
Carrying out abnormal grade distinction on the standard fault data according to the distance value;
wherein, the abnormal grades are respectively divided into a first-level abnormality, a second-level abnormality and a third-level abnormality.
8. The distributed traveling wave measurement-based distribution network fault location system of claim 7, wherein: the abnormal data judging and positioning unit further comprises:
The early warning display module is used for:
Respectively carrying out abnormality early warning of different degrees according to the abnormality grade;
the abnormal early warning comprises a primary early warning, a secondary early warning and a tertiary early warning respectively;
According to abnormal early warning of different degrees, early warning instructions with different intensities are respectively sent;
after the early warning instruction is sent to the display terminal, the staff performs scheme processing according to the degree of abnormal early warning.
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