Power transformation equipment state analysis system based on fault recording data

Abstract

The invention discloses a power transformation equipment state analysis system based on fault recording data. The power transformation equipment state analysis system comprises an acquisition server, a plurality of fault recording devices, a data server, a database module, a switch and an analysis processing platform. The method has the beneficial effects that the fault target corresponding to the probability density of the fault occurring at a certain time point is found out from the normal probability distribution curve, and meanwhile, comparison and diagnosis are performed in combination with all historical wave feature information data of each power transformation equipment, so that the accuracy of determining the fault type is improved; and comparing and judging the average value and the standard deviation of all historical data with a numerical value obtained by utilizing three times of the standard deviation, judging whether the operation state of the power transformation equipment is normal or not, determining the fault type, and further obtaining a fault analysis solution from a fault database. Effective relevance is provided for workers to solve fault conditions, and the problem that fault information recording lags behind due to multiple complex faults occurring in a short time is solved.

Description

Technical Field

[0001] The invention relates to the technical field of power equipment detection, in particular to a substation equipment state analysis system based on fault recording data. Background Art

[0002] The establishment of the fault recording network system solves the problem of complicated accident analysis caused by the need to retrieve recordings in the traditional station. The system consists of a master station system located in the control center, recording devices located in the substation, and an information transmission system. The master station system is connected to the recording devices of multiple substations through the dispatching data network, and is responsible for collecting the operation and fault information of the primary and secondary equipment connected to each recording device.

[0003] When conducting fault analysis, for simple faults, the staff can analyze the fault waveforms of multiple substations at the master station and manually associate them according to the changes in characteristic electrical quantities and the action of the protective circuit breaker. However, for some complex faults that occur multiple times in a short period of time, each substation may record multiple recording data in a short period of time, and it is impossible to judge the correlation between each recording data well, so it is impossible to make a good fault analysis report, and the staff of the power grid cannot effectively know the fault situation. Therefore, in order to solve the above problems, a substation equipment status analysis system based on fault recording data is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a substation equipment status analysis system based on fault recording data in order to solve the above problems.

[0005] The present invention achieves the above-mentioned purpose through the following technical scheme: a substation equipment status analysis system based on fault recording data, including a collection server, a plurality of fault recording devices, a data server, a database module, a switch and an analysis and processing platform. The collection server is coupled to the plurality of fault recording devices, the fault recording devices are coupled to the data server, the data server and the database module are interconnected, the database module is also coupled to the collection server, the data server and the database module are both coupled to the switch, the switch is coupled to the analysis and processing platform, the analysis and processing platform is connected to the data server through an interactive machine, and the analysis and processing platform includes a fault diagnosis analysis module and a fault database.

[0006] Furthermore, the acquisition server is coupled to a plurality of fault recording devices to receive recording characteristic information data sent by the fault recording device electrically connected to each substation equipment, and synthesizes the recording characteristic information data into a data packet and sends it out.

[0007] Furthermore, the fault recording device includes a plurality of recording channels, and each channel can independently collect current, voltage, and frequency fault parameters.

[0008] Furthermore, the data server is coupled to the database module to form a two-way communication, so as to call out the wave recording characteristic information data packet and integrate the time data of the same fault point according to the correlation between each wave recording characteristic information data.

[0009] Furthermore, the database module receives and stores the recording characteristic information data packet sent by the acquisition server.

[0010] Furthermore, the analysis and processing platform is connected to the data server via an interactive machine to receive and forward the server data packets to the analysis and processing platform.

[0011] Furthermore, the fault diagnosis and analysis module performs diagnosis and analysis on the received data packets, and the steps of the diagnosis and analysis method are as follows:

[0012] S1, with the cumulative operation time T of the substation equipment as the horizontal axis and the probability corresponding to the fault target A as the vertical axis, based on the formula:

[0013]

[0014] In the formula is the average cumulative operation time of the substation equipment, σ 2 is the duration variance;

[0015] S2. When the probability corresponding to the fault target A is the same, determine A min ~A max There is a fault target A between T …A T+n scope;

[0016] S3, to reduce the fault target A T …A T+n The range is the command signal, and combined with the fault database coupled to the fault diagnosis and analysis module, it is used to receive the command signal and call out the relevant recording characteristic information data;

[0017] S4. Match the recording characteristic information data retrieved from the fault database with the recording characteristic information data received from the analysis and processing platform to obtain other detailed fault analysis information data associated with the recording characteristic information retrieved from the fault database.

[0018] Furthermore, in step S1, the cumulative operation time T of the matching substation equipment is divided into T=∑T 正常 +∑T 故障 , count all the historical fault times of the substation equipment, and randomly select the average value of each of three different time periods and standard deviation δ 首 , δ 中 , δ末 , based on the formula: Substitute the first, middle and last numbers in order to calculate: △T 末1 .

[0019] Furthermore, the comparison of and and and The recording characteristic information data in the first, middle and final states are compared in combination with the previous and subsequent calculation results. If there is no difference in the recording characteristic information data, the substation equipment is normal; if one recording characteristic information data is inconsistent, the operation of the substation equipment is in a state of attention; if two recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, and the maintenance cycle is shortened; if three recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, and the operation is stopped, and a comprehensive overhaul and replacement are performed.

[0020] The beneficial effects of the present invention are:

[0021] 1. Comprehensive data collection and integration: The system couples multiple fault recording devices through the acquisition server to achieve comprehensive collection of multi-dimensional parameters (current, voltage, frequency, etc.) of substation equipment. The collected data is integrated through the two-way communication function of the data server and database module, which can quickly locate and identify the fault point and improve the accuracy and relevance of fault information;

[0022] 2. Efficient fault location: The data server analyzes the correlation of the recorded characteristic information data, integrates the time data of the same fault point, further narrows the fault target range, improves the accuracy and speed of fault location, and provides clear guidance for subsequent maintenance;

[0023] 3. Intelligent fault diagnosis: The fault diagnosis and analysis module introduces an analysis method based on a probability model. It combines the cumulative operation time of the equipment and historical data, and calculates the fault target range through a formula. The module can compare and correlate the historical data in the fault database to provide more comprehensive fault diagnosis information.

[0024] 4. Accurate status assessment: Through statistical analysis of the cumulative operation time of substation equipment and detailed segmentation processing of historical data, the module can calculate the distribution range of the operating status according to the average value and standard deviation of the time period. Based on difference analysis, it can clearly judge the normal, caution and abnormal status of the equipment, providing a reliable basis for the operation and maintenance of the equipment;

[0025] 5. Dynamic risk assessment and maintenance optimization: The fault diagnosis module can dynamically adjust the maintenance cycle according to the inconsistency of the recorded characteristic information data, accurately determine whether the equipment needs to shorten the maintenance cycle or stop running, thereby optimizing the maintenance plan, extending the equipment life and reducing the operation risk;

[0026] 6. Powerful data matching and correlation analysis capabilities: The analysis and processing platform receives data packets through the interactive machine, matches them with the historical recorded data retrieved from the fault database, and mines deeper correlation information to provide support for the analysis and location of complex faults;

[0027] 7. Modular design improves scalability and maintainability: The system enhances its scalability through modular design of acquisition, storage, and analysis. For example, more fault recording devices or analysis function modules can be added as needed to meet the needs of different substations.

[0028] 8. Automation and real-time performance: The system realizes the automated process from data collection, transmission, storage to analysis. Combined with the real-time updated recorded data, it can quickly identify and respond to faults, reducing manual intervention and delays;

[0029] 9. Improved operation decision support: Fault diagnosis results are presented in a visual form through the analysis and processing platform, helping operation and maintenance personnel to quickly understand the equipment status and fault causes, improving decision-making efficiency and accuracy;

[0030] In summary, the present invention finds out the fault target corresponding to the fault probability density occurring at a certain time point from the normal probability distribution curve, and combines all the historical wave characteristic information data of each substation for comparative diagnosis, thereby improving the accuracy of fault type determination, with fast speed and high efficiency; based on the average value and standard deviation of all historical data and the value obtained by using three times the standard deviation, it is possible to judge whether the operating status of the substation equipment is normal, and determine the fault type, and further obtain a fault analysis solution from the fault database, providing staff with effective correlation to solve fault situations, and solving the problem of delayed fault information recording caused by multiple complex faults occurring in a short period of time. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0032] Figure 1 The present invention is a schematic diagram of the structure of a substation equipment status analysis system based on fault recording data.

[0033] In the figure: 1. acquisition server; 2. fault recording device; 3. data server; 4. database module; 5. switch; 6. analysis and processing platform; 61. fault diagnosis and analysis module; 62. fault database. DETAILED DESCRIPTION

[0034] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0036] In the description of the present invention, it is necessary to understand that the orientations or positional relationships indicated by the terms "upper", "lower", "top", "bottom", "inside", "outside", etc. are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0037] See also Figure 1 As shown, a substation equipment status analysis system based on fault recording data includes a collection server 1, a plurality of fault recording devices 2, a data server 3, a database module 4, a switch 5 and an analysis and processing platform 6. The collection server 1 is coupled to the plurality of fault recording devices 2 to receive recording characteristic information data sent by the fault recording device 2 electrically connected to each substation equipment, and synthesizes the recording characteristic information data into a data packet and sends it;

[0038] The analysis and processing platform 6 specifically includes a fault diagnosis and analysis module 61 and a fault database 62. The fault diagnosis and analysis module 61 performs diagnosis and analysis on the received data packets. The steps of the diagnosis and analysis method are as follows:

[0039] S1, with the cumulative operation time T of the substation equipment as the horizontal axis and the probability corresponding to the fault target A as the vertical axis, based on the formula:

[0040]

[0041] In the formula is the average cumulative operation time of the substation equipment, σ 2 is the duration variance;

[0042] S2. When the probability corresponding to the fault target A is the same, determine Ami n ~Ama x There is a fault target A between T …A T+n scope;

[0043] S3, to reduce the fault target A T …A T+n The range is the command signal, and combined with the fault database 62 coupled to the fault diagnosis and analysis module 61, it is used to receive the command signal and call out the relevant recording characteristic information data;

[0044] S4. Match the recording characteristic information data retrieved from the fault database 62 with the recording characteristic information data received from the analysis and processing platform 6 to obtain other detailed fault analysis information data associated with the recording characteristic information retrieved from the fault database 62.

[0045] In S1, the cumulative operation time T of the matching substation equipment is divided into T = ∑T 正常 +∑T 故障 , count all the historical fault times of the substation equipment, and randomly select the average value of each of three different time periods and standard deviation δ 首 , δ 中 , δ 末 , based on the formula: Substitute the first, middle and last numbers in order to calculate: △T 末1 ;

[0046] Compare and and and The recording characteristic information data in the first, middle and final states are compared in combination with the previous and subsequent calculation results. If there is no difference in the recording characteristic information data, the substation equipment is normal; if one recording characteristic information data is inconsistent, the operation of the substation equipment is in a state of attention; if two recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, and the maintenance cycle is shortened; if three recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, and the operation is stopped, and a comprehensive overhaul and replacement are performed.

[0047] Preferably, the analysis and processing platform 6 is connected to the data server 3 via an interactive machine to receive and forward the server data packet to the analysis and processing platform 6 .

[0048] Preferably, the database module 4 is coupled to the acquisition server 1, and is used to receive and store the recording characteristic information data packet sent by the acquisition server 1.

[0049] Preferably, the data server 3 is coupled to the database module 4 to form a two-way communication, so as to call out the recording characteristic information data packet and integrate the time data of the same fault point according to the correlation between each recording characteristic information data.

[0050] Preferably, the fault recording device 2 includes multiple recording channels, each of which can independently collect current, voltage, and frequency fault parameters.

[0051] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations within the meaning and scope of the elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0052] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A substation equipment status analysis system based on fault recording data, characterized in that: The invention comprises a collection server (1), a plurality of fault recording devices (2), a data server (3), a database module (4), a switch (5) and an analysis and processing platform (6), wherein the collection server (1) is coupled to the plurality of fault recording devices (2), the fault recording devices (2) are coupled to the data server (3), the data server (3) and the database module (4) are interconnected, the database module (4) is also coupled to the collection server (1), the data server (3) and the database module (4) are both coupled to the switch (5), the switch (5) is coupled to the analysis and processing platform (6), the analysis and processing platform (6) is connected to the data server (3) via an interactive machine, and the analysis and processing platform (6) comprises a fault diagnosis and analysis module (61) and a fault database (62).

2. A substation equipment status analysis system based on fault recording data according to claim 1, characterized in that: The acquisition server (1) is coupled to a plurality of fault recording devices (2) to receive recording characteristic information data sent by the fault recording device (2) electrically connected to each substation equipment, and synthesizes the recording characteristic information data into a data packet and sends it out.

3. The substation equipment status analysis system based on fault recording data according to claim 1 is characterized in that: The fault recording device (2) comprises a plurality of recording channels, and each channel can independently collect current, voltage and frequency fault parameters.

4. The substation equipment status analysis system based on fault recording data according to claim 1 is characterized in that: The data server (3) is coupled to the database module (4) to form a two-way communication, so as to call out the wave recording characteristic information data packet and integrate the time data of the same fault point according to the correlation between each wave recording characteristic information data.

5. The substation equipment status analysis system based on fault recording data according to claim 1 is characterized in that: The database module (4) receives and stores the recording characteristic information data packet sent by the acquisition server (1).

6. A substation equipment status analysis system based on fault recording data according to claim 1, characterized in that: The analysis and processing platform (6) is connected to the data server (3) via an interactive machine, and is used to receive and forward the server data packets to the analysis and processing platform (6).

7. A substation equipment status analysis system based on fault recording data according to claim 1, characterized in that: The fault diagnosis and analysis module (61) performs diagnosis and analysis on the received data packets, and the steps of the diagnosis and analysis method are as follows: S1, with the cumulative operation time T of the substation equipment as the horizontal axis and the probability corresponding to the fault target A as the vertical axis, based on the formula: In the formula is the average cumulative operation time of the substation equipment, σ 2 is the duration variance; S2. When the probability corresponding to the fault target A is the same, determine A min ~A max There is a fault target A between T …A T+n scope; S3, to reduce the fault target A T …A T+n The range is the command signal, and is combined with a fault database (62) coupled to the fault diagnosis and analysis module (61) to receive the command signal and retrieve relevant recording characteristic information data; S4, matching the recording characteristic information data retrieved from the fault database (62) with the recording characteristic information data received from the analysis and processing platform (6), and obtaining other detailed fault analysis information data associated with the recording characteristic information retrieved from the fault database (62).

8. A substation equipment status analysis system based on fault recording data according to claim 6, characterized in that: In step S1, the cumulative operation time T of the matching substation equipment is divided into T=ΣT 正常 +ΣT 故障 , count all the historical fault times of the substation equipment, and randomly select the average value of each of three different time periods and standard deviation δ 首 , δ 中 , δ 末 , based on the formula: Substitute the first, middle and last numbers in order to calculate: ΔT 末1 .

9. A substation equipment status analysis system based on fault recording data according to claim 7, characterized in that: Compare the and ΔT 首 , and △T 中 , and ΔT 末 , and compare the recording characteristic information data in the first, middle and final states in combination with the previous and subsequent calculation results. If there is no difference in the recording characteristic information data, the substation equipment is normal; if one recording characteristic information data is inconsistent, the operation of the substation equipment is in a state of attention; if two recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, and the maintenance cycle is shortened; if three recording characteristic information data are inconsistent, the operation of the substation equipment is in an abnormal state, stop running, and undergo comprehensive maintenance and replacement.

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