CN114879081A - Lightning damage area analysis method based on synchronous dynamic monitoring data of lightning arrester - Google Patents
Lightning damage area analysis method based on synchronous dynamic monitoring data of lightning arrester Download PDFInfo
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- CN114879081A CN114879081A CN202210569580.0A CN202210569580A CN114879081A CN 114879081 A CN114879081 A CN 114879081A CN 202210569580 A CN202210569580 A CN 202210569580A CN 114879081 A CN114879081 A CN 114879081A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The invention relates to a lightning damage area analysis method, in particular to a lightning damage area analysis method based on synchronous dynamic monitoring data of a lightning arrester. According to the lightning arrester monitoring system, the voltage and current data of the lightning arrester are monitored in real time, and the current data and the voltage data are synchronized through the synchronization module, so that the accuracy of the lightning arrester monitoring data is effectively guaranteed not to be deviated due to time errors. And the high-efficiency network transmission module is adopted to realize real-time data transmission, and the server establishes a model for analysis and optimization by a lightning damage area analysis algorithm, so that the lightning damage area can be effectively analyzed by lightning arrester monitoring data.
Description
Technical Field
The invention relates to a lightning damage area analysis method, in particular to a lightning damage area analysis method based on synchronous dynamic monitoring data of a lightning arrester.
Background
The zinc oxide lightning arrester is a lightning arrester with excellent protection performance, light weight, pollution resistance and stable performance. The current flowing through the lightning arrester is extremely small (microampere or milliampere level) at normal working voltage by mainly utilizing the good nonlinear volt-ampere characteristic of zinc oxide; when overvoltage acts, the resistance drops sharply, and the energy of the overvoltage is released, so that the protection effect is achieved. The difference between the lightning arrester and the traditional lightning arrester is that the lightning arrester has no discharge gap and plays the role of current leakage and disconnection by utilizing the nonlinear characteristic of zinc oxide. An on-line monitor for lightning arrester (leakage current and action recorder) is an instrument matched with zinc oxide lightning arrester in high-voltage AC power system, and is connected in series with the grounding loop of lightning arrester. The milliammeter in the monitor is used for monitoring leakage current (peak value) passing through the lightning arrester under the operating voltage, and can judge whether the interior of the lightning arrester is affected with damp or not, whether elements are abnormal or not and the like. When the area suffers from lightning damage, how to realize the analysis of the lightning damage area through the monitoring of the lightning arrester becomes a problem to be solved urgently.
Disclosure of Invention
The invention aims to solve the defects in the background technology by providing a lightning damage area analysis method based on synchronous dynamic monitoring data of a lightning arrester.
The technical scheme adopted by the invention is as follows:
the lightning damage area analysis method based on the arrester synchronous dynamic monitoring data comprises the steps of collecting current data of leakage current of the arrester and voltage data of grid voltage on the arrester through a dynamic detection module, synchronizing the current data and the voltage data through a synchronization module, remotely transmitting the synchronized data to a server through a transmission module, and carrying out lightning damage area analysis through the server.
As a preferred technical scheme of the invention: the dynamic detection module comprises a current acquisition unit and a voltage acquisition unit, the current acquisition unit is used for being connected to each valve plate of the lightning arrester through a plurality of metal measuring points to acquire leakage current of the lightning arrester, and the voltage acquisition unit is used for acquiring line voltage of the lightning arrester through a voltage isolation converter and a sampling resistor in parallel connection.
As a preferred technical scheme of the invention: the synchronous module comprises a sampling notification unit, a calculation unit and a synchronous unit, wherein the sampling notification unit sends a sampling notification signal at intervals, the current acquisition unit and the voltage acquisition unit start to acquire voltage and current signals of each path after receiving the sampling signal, then the calculation unit synchronous module receives the current acquisition unit and the current and voltage signals acquired by the voltage acquisition unit and calculates the resistive current value of each arrester.
As a preferred technical scheme of the invention: the synchronization unit calculates a clock difference by comparing with a local clock, and then synchronizes clock information to the transmission module.
As a preferred technical scheme of the invention: the transmission module is connected with the communication interface and the driving unit of the server through the communication interface, the input/output ports and the driving unit, so as to control the data communication of the communication interface and the data input/output through the input/output ports, wherein the communication interface comprises a serial interface and/or a Controller Area Network (CAN) interface; the serial interface is a Universal Asynchronous Receiver Transmitter (UART) serial port; the controller area network CAN interface is configured as a controller area network CAN/local area interconnect network LIN interface; the controller area network CAN interface CAN be connected with a controller area network CAN card outside the internet data transmission processing system; the controller area network CAN signal conversion unit is configured as a controller area network CAN/local area interconnection network LIN signal conversion unit; the communication interface also comprises a controller area network CAN signal conversion unit which is connected between the controller area network CAN interface and the data processing unit and is used for level conversion; the plurality of input/output ports comprise a plurality of paths of binary output ports, binary input ports, analog input ports and analog output ports.
As a preferred technical scheme of the invention: the transmission module automatically completes message conversion work according to a CAN bus protocol, data in the register is put into a data field of a standard data frame, and after a data sending request command arrives, the node transmits the message to the CAN bus.
As a preferred technical scheme of the invention: the method for analyzing the lightning damage area through the server comprises the steps of calculating a weight matrix of each index by combining a hierarchical structure analysis method, establishing a mathematical model of a lightning damage area evaluation index by combining risk evaluation indexes, dividing the risk degree of disasters in the area into different grades according to the indexes according to a certain evaluation standard, and performing statistical evaluation and analysis on the disasters and the risk degrees of different types by combining a large number of environmental conditions in the area.
As a preferred technical scheme of the invention: the weight matrix for calculating each index adopts an analytic hierarchy process principle, and paired comparison matrixes are established to compare the factors pairwise, specifically:
constructing a risk assessment matrix according to the clock difference ratio of the resistive current value of each arrester in the current region,
if matrix
A＝(a ij ) n×n
Satisfies a ij ＞0，a ij ＝1/a ij ，
It is called a positive reciprocal matrix, where: a is ij ＝1，i＝1，2，...，n；
Wherein, a ij The ratio of the resistance value of the ith arrester to the average clock difference of all arresters in the jth zone is expressed.
As a preferred technical scheme of the invention: the mathematical model of the lightning damage area evaluation index is as follows:
wherein, w is a risk degree index, m is the total number of risk degree evaluation indexes, R (j) is a weighted value of each evaluation index, and Y (j) is a normalized index value of each index;
wherein the content of the first and second substances,
wherein e is j The number of leakage currents of the lightning arrester in the jth region;
wherein e is max The amount of leakage current of the arrester in the area of the highest leakage current, e min The amount of leakage current of the arrester in the area where the leakage current is the least.
As a preferred technical scheme of the invention: in the process of establishing the mathematical model of the thunderstorm damage area evaluation index, part of sample data is randomly extracted, the sampled data is subjected to density-based clustering, the cluster number and the initial cluster center are quickly clustered to determine the cluster number and the initial cluster center, the cluster number and the initial cluster center obtained by sample density clustering are used as input conditions to quickly cluster the data, and classification, statistics and storage are respectively carried out according to the target type of the detected data according to the result of quick clustering so as to carry out collision analysis on the data with correlation in the subsequent process.
According to the lightning damage area analysis method based on the synchronous dynamic monitoring data of the lightning arrester, the voltage and current data of the lightning arrester are monitored in real time, and the current data and the voltage data are synchronized through the synchronization module, so that the monitoring data of the lightning arrester are effectively guaranteed against deviation of accuracy caused by time errors. And the high-efficiency network transmission module is adopted to realize the real-time transmission of data, and the model is established by a server according to a lightning damage area analysis algorithm for analysis and optimization, so that the lightning damage area can be effectively analyzed through the lightning arrester monitoring data.
Detailed Description
It should be noted that, in the present embodiment, features in the embodiment may be combined with each other without conflict, and a technical solution in the embodiment of the present invention will be clearly and completely described below, and it is obvious that the described embodiment is only a part of embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The invention provides a lightning damage area analysis method based on synchronous dynamic monitoring data of an arrester, which comprises the steps of collecting current data of leakage current of the arrester and voltage data of grid voltage on the arrester through a dynamic detection module, synchronizing the current data and the voltage data through a synchronization module, remotely transmitting the synchronized data to a server through a transmission module, and carrying out lightning damage area analysis through the server.
In this embodiment: the dynamic detection module comprises a current acquisition unit and a voltage acquisition unit, the current acquisition unit is used for being connected to each valve plate of the lightning arrester through a plurality of metal measuring points to acquire leakage current of the lightning arrester, and the voltage acquisition unit is used for acquiring line voltage of the lightning arrester through a voltage isolation converter and a sampling resistor in parallel connection. In this embodiment: the synchronous module comprises a sampling notification unit, a calculation unit and a synchronous unit, wherein the sampling notification unit sends a sampling notification signal at intervals, the current acquisition unit and the voltage acquisition unit start to acquire voltage and current signals of each path after receiving the sampling signal, then the calculation unit synchronous module receives the current acquisition unit and the current and voltage signals acquired by the voltage acquisition unit and calculates the resistive current value of each arrester. In this embodiment: the synchronization unit calculates a clock difference by comparing with a local clock, and then synchronizes clock information to the transmission module. The magnitude of the resistive current reflects the health of the whole monitoring system, and the calculation of the resistive current requires the same-phase voltage as a phase reference, so that each corresponding voltage needs to be synchronously sampled. Each reference voltage is transmitted to the input end of the low-pass filter through the isolation voltage sensor, then is accessed to the analog-to-digital converter after being processed by the signal amplifier, and the CPU receives digital signals corresponding to each reference voltage and sends out the digital signals through the wireless communication module after being processed. The device adopts station electricity to supply power, can gather a plurality of circuit reference voltage simultaneously.
In this embodiment: the transmission module is connected with the communication interface and the driving unit of the server through the communication interface, the input/output ports and the driving unit, so as to control the data communication of the communication interface and the data input/output through the input/output ports, wherein the communication interface comprises a serial interface and/or a Controller Area Network (CAN) interface; the serial interface is a Universal Asynchronous Receiver Transmitter (UART) serial port; the controller area network CAN interface is configured as a controller area network CAN/local area interconnect network LIN interface; the controller area network CAN interface CAN be connected with a controller area network CAN card outside the internet data transmission processing system; the controller area network CAN signal conversion unit is configured as a controller area network CAN/local area interconnection network LIN signal conversion unit; the communication interface also comprises a controller area network CAN signal conversion unit which is connected between the controller area network CAN interface and the data processing unit and is used for level conversion; the plurality of input/output ports comprise a plurality of paths of binary output ports, binary input ports, analog input ports and analog output ports.
In this embodiment: the transmission module automatically completes message conversion work according to a CAN bus protocol, data in the register is put into a data field of a standard data frame, and after a data sending request command arrives, the node transmits the message to the CAN bus. In this embodiment: the method for analyzing the lightning damage area through the server comprises the steps of calculating a weight matrix of each index by combining a hierarchical structure analysis method, establishing a mathematical model of a lightning damage area evaluation index by combining risk evaluation indexes, dividing the risk degree of disasters in the area into different grades according to the indexes according to a certain evaluation standard, and performing statistical evaluation and analysis on the disasters and the risk degrees of different types by combining a large number of environmental conditions in the area.
In this embodiment: the weight matrix for calculating each index adopts an analytic hierarchy process principle, and paired comparison matrixes are established to compare the factors pairwise, specifically:
constructing a risk evaluation matrix according to the clock difference ratio of the resistive current value of each lightning arrester in the current region,
if matrix
A＝(a ij ) n×n
Satisfies a ij ＞0，a ij ＝1/a ij ，
It is called a positive reciprocal matrix, where: a is a ij ＝1，i＝1，2，...，n；
Wherein, a ij The ratio of the resistance value of the ith arrester to the average clock difference of all arresters in the jth zone is expressed.
In this embodiment: the mathematical model of the lightning damage area evaluation index is as follows:
wherein, w is a risk degree index, m is the total number of risk degree evaluation indexes, R (j) is a weight value of each evaluation index, and Y (j) is a normalized index value of each index;
wherein the content of the first and second substances,
wherein e is j The number of leakage currents of the lightning arrester in the jth region;
wherein e is max The amount of leakage current of the arrester in the area of the highest leakage current, e min The amount of leakage current of the arrester in the area where the leakage current is the least.
In this embodiment: in the process of establishing the mathematical model of the thunderstorm damage area evaluation index, part of sample data is randomly extracted, the sampled data is subjected to density-based clustering, the cluster number and the initial cluster center are quickly clustered to determine the cluster number and the initial cluster center, the cluster number and the initial cluster center obtained by sample density clustering are used as input conditions to quickly cluster the data, and classification, statistics and storage are respectively carried out according to the target type of the detected data according to the result of quick clustering so as to carry out collision analysis on the data with correlation in the subsequent process.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A lightning damage area analysis method based on synchronous dynamic monitoring data of a lightning arrester is characterized by comprising the following steps: the lightning arrester lightning protection method comprises the steps of collecting current data of leakage current of a lightning arrester and voltage data of grid voltage on the lightning arrester through a dynamic detection module, synchronizing the current data and the voltage data through a synchronization module, remotely transmitting the synchronized data to a server through a transmission module, and carrying out lightning damage regional analysis through the server.
2. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 1, characterized in that: the dynamic detection module comprises a current acquisition unit and a voltage acquisition unit, the current acquisition unit is used for being connected to each valve plate of the lightning arrester through a plurality of metal measuring points to acquire leakage current of the lightning arrester, and the voltage acquisition unit is used for acquiring line voltage of the lightning arrester through a voltage isolation converter and a sampling resistor in parallel connection.
3. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 2, characterized in that: the synchronous module comprises a sampling notification unit, a calculation unit and a synchronous unit, wherein the sampling notification unit sends a sampling notification signal at intervals, the current acquisition unit and the voltage acquisition unit start to acquire voltage and current signals of each path after receiving the sampling signal, then the calculation unit synchronous module receives the current acquisition unit and the current and voltage signals acquired by the voltage acquisition unit and calculates the resistive current value of each arrester.
4. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 3, characterized in that: the synchronization unit calculates a clock difference by comparing with a local clock, and then synchronizes clock information to the transmission module.
5. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 1, characterized in that: the transmission module is connected with the communication interface and the driving unit of the server through the communication interface, the input/output ports and the driving unit, so as to control the data communication of the communication interface and the data input/output through the input/output ports, wherein the communication interface comprises a serial interface and/or a Controller Area Network (CAN) interface; the serial interface is a Universal Asynchronous Receiver Transmitter (UART) serial port; the controller area network CAN interface is configured as a controller area network CAN/local area interconnect network LIN interface; the controller area network CAN interface CAN be connected with a controller area network CAN card outside the internet data transmission processing system; the controller area network CAN signal conversion unit is configured as a controller area network CAN/local area interconnection network LIN signal conversion unit; the communication interface also comprises a controller area network CAN signal conversion unit which is connected between the controller area network CAN interface and the data processing unit and is used for level conversion; the plurality of input/output ports comprise a plurality of paths of binary output ports, binary input ports, analog input ports and analog output ports.
6. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 1, characterized in that: the transmission module automatically completes message conversion work according to a CAN bus protocol, data in the register is put into a data field of a standard data frame, and after a data sending request command arrives, the node transmits the message to the CAN bus.
7. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 1, characterized in that: the method for analyzing the lightning damage area through the server comprises the steps of calculating a weight matrix of each index by combining a hierarchical structure analysis method, establishing a mathematical model of a lightning damage area evaluation index by combining risk evaluation indexes, dividing the risk degree of disasters in the area into different grades according to the indexes according to a certain evaluation standard, and performing statistical evaluation and analysis on the disasters and the risk degrees of different types by combining a large number of environmental conditions in the area.
8. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 7, characterized in that: the weight matrix of each index is calculated by adopting an analytic hierarchy process principle, and pairwise comparison matrixes are established to compare the factors pairwise, specifically comprising the following steps:
constructing a risk assessment matrix according to the clock difference ratio of the resistive current value of each arrester in the current region,
if matrix
A＝(a ij ) n×n
Satisfies a ij ＞0，a ij ＝1/a ij ，
It is called a positive reciprocal matrix, where: a is ij ＝1，i＝1，2，...，n；
Wherein, a ij The ratio of the resistance value of the ith arrester to the average clock difference of all arresters in the jth zone is expressed.
9. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 7, characterized in that: the mathematical model of the lightning damage area evaluation index is as follows:
wherein, w is a risk degree index, m is the total number of risk degree evaluation indexes, R (j) is a weight value of each evaluation index, and Y (j) is a normalized index value of each index;
wherein the content of the first and second substances,
wherein e is j The number of leakage currents of the lightning arrester in the jth region;
wherein e is max The amount of leakage current of the arrester in the area of the highest leakage current, e min The amount of leakage current of the arrester in the area where the leakage current is the least.
10. The lightning damage area analysis method based on synchronous dynamic monitoring data of the lightning arrester as claimed in claim 7, characterized in that: in the process of establishing the mathematical model of the thunderstorm damage area evaluation index, part of sample data is randomly extracted, the sampled data is subjected to density-based clustering, the cluster number and the initial cluster center are quickly clustered to determine the cluster number and the initial cluster center, the cluster number and the initial cluster center obtained by sample density clustering are used as input conditions to quickly cluster the data, and classification, statistics and storage are respectively carried out according to the target type of the detected data according to the result of quick clustering so as to carry out collision analysis on the data with correlation in the subsequent process.
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| CN202210569580.0A CN114879081A (en) | 2022-05-24 | 2022-05-24 | Lightning damage area analysis method based on synchronous dynamic monitoring data of lightning arrester |
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| CN202210569580.0A CN114879081A (en) | 2022-05-24 | 2022-05-24 | Lightning damage area analysis method based on synchronous dynamic monitoring data of lightning arrester |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115563111A (en) * | 2022-09-27 | 2023-01-03 | 国网江苏省电力有限公司超高压分公司 | Method and system for configuring dynamic model of converter station system |
| CN117435947A (en) * | 2023-12-20 | 2024-01-23 | 山东和兑智能科技有限公司 | Lightning arrester state monitoring system and method |
-
2022
- 2022-05-24 CN CN202210569580.0A patent/CN114879081A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115563111A (en) * | 2022-09-27 | 2023-01-03 | 国网江苏省电力有限公司超高压分公司 | Method and system for configuring dynamic model of converter station system |
| CN117435947A (en) * | 2023-12-20 | 2024-01-23 | 山东和兑智能科技有限公司 | Lightning arrester state monitoring system and method |
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