JP4497412B2 - Accident cause determination method and apparatus for transmission and distribution lines - Google Patents

Description

  The present invention relates to a method for discriminating whether a cause of an accident corresponds to a metal contact or a defective insulator from the characteristics of a surge waveform when a fault such as a ground fault occurs in a transmission and distribution line.

Conventionally, as a method of determining or identifying the cause of a fault such as a ground fault that has occurred in a transmission / distribution line, the cause and the accident cause prepared in advance by analyzing the shape and frequency of the zero-phase voltage or zero-phase current waveform at the time of the accident A method for determining the cause of an accident by pattern matching with another waveform shape or frequency component is known.
However, there are problems such as selection of waveform positions used for pattern matching and standardization of waveforms that differ depending on the accident, frequency components change depending on the observation location, distance from the accident point, and phase angle at the time of the accident even in the same accident. There is a problem that the processing for the above becomes complicated and it is difficult to discriminate with high accuracy.
Examples of this type of accident cause determination method are disclosed in Patent Documents 1 and 2 below.

JP-A-11-142466 JP 2000-50488 A

The accident cause estimation method disclosed in Patent Document 1 detects a zero-phase voltage waveform or a zero-phase current waveform at the time of occurrence of a ground fault, records data, and records harmonics, Lissajous, phase spectrum, impedance locus, effective value, Waveform analysis such as waveform rate, wave height rate, and distortion rate is performed, and the analysis values are input to a neural network to estimate the cause of the accident.
The accident cause determination method disclosed in Patent Document 2 analyzes a waveform of a transient phenomenon of a zero phase voltage or a zero phase current immediately after a failure by wavelet transform, and a pattern with analysis data prepared for each accident cause prepared in advance. The cause of the accident is determined by matching.

  However, in the methods disclosed in Patent Documents 1 and 2, since the amount of calculation for waveform analysis is large, a computer with high calculation capability must be used, and the cause of the accident can be easily determined. There is a problem that can not be.

  An object of the present invention is to provide a fault cause determination method for a transmission and distribution line that can easily and accurately determine the cause of an accident without using a computer having high calculation capability.

In order to solve the above problems, the present invention is an accident cause determination method for analyzing the characteristics of a surge waveform at the time of occurrence of a fault such as a ground fault in a transmission and distribution line , and determining the cause of the accident
The accident cause determination process
After sampling the surge waveform at the occurrence of a failure at a predetermined cycle, storing the sample data in the first storage means, reading the stored sample data, calculating the difference between the sample data at adjacent sampling times, and calculating The overlapped difference data is superimposed over a plurality of cycles of the commercial frequency, the characteristics of the difference data are emphasized, the overlapped difference data is equally divided into difference data of a plurality of sections on the time axis, and a predetermined change amount is set in each divided section. Measure the number of difference data exceeding, calculate the appearance probability of the difference data exceeding the predetermined change amount appearing in each divided section based on the measured value, and the divided section exceeding the predetermined probability among the calculated appearance probabilities of each divided section The number of divided sections exceeding the predetermined probability measured and the second storage means stored in advance as judgment reference data Causes another against the number of divided sections and more than a predetermined probability, characterized in that it consists of a process to determine the causes of accidents when a fault occurs, such as a ground fault in the TD line.
In addition, an accident cause determination device that analyzes the characteristics of a surge waveform at the time of occurrence of a fault such as a ground fault in a transmission and distribution line by an accident cause determination device and determines the cause of the accident,
Means for sampling a surge waveform at the occurrence of a failure at a predetermined period and storing the sample data in the first storage means; and means for reading the stored sample data and calculating a difference between the sample data at adjacent sampling times; The calculated difference data is overlapped over a plurality of periods of the commercial frequency, and the means for emphasizing the characteristics of the difference data, and the overlapped difference data are equally divided into difference data of a plurality of sections on the time axis, and in each divided section A means for measuring the number of difference data exceeding a predetermined change amount, calculating the appearance probability of difference data exceeding the predetermined change amount appearing in each divided section based on the measured value, and the appearance probability of each calculated divided section Of these, the means for measuring the number of divided sections exceeding a predetermined probability, the number of divided sections exceeding the measured predetermined probability, and the second storage means A means for collating the number of division sections exceeding a predetermined probability for each cause of accident stored in advance as quasi-data, and determining means of an accident when a fault such as a ground fault occurs in a transmission and distribution line To do.

According to the present invention, the process of sampling the surge waveform at the time of failure occurrence, the process of calculating the difference between the sample data, the process of superposing the difference data over a plurality of cycles of the commercial frequency, and the superposed difference data as time A process of measuring the number of difference data exceeding a predetermined change amount in each divided section equally divided on the axis, and calculating the appearance probability of the difference data exceeding the predetermined change amount appearing in each divided section by the measured value; , A process of measuring the number of divided sections exceeding a predetermined probability among the calculated appearance probabilities of each divided section, and the number of divided sections exceeding the measured predetermined probability and stored in advance as determination criterion data in the second storage means Since it only needs to perform simple data processing, such as processing to determine the cause of an accident by comparing the number of divisions exceeding the predetermined probability for each accident cause It is possible to determine the causes of accidents TD line in simple manner, and with high accuracy without using a computer having a.
Therefore, it is possible to determine the cause of the accident on the transmission and distribution line using a general-purpose computer such as a personal computer as the accident cause determination device, and it is possible to quickly perform the recovery work when the accident occurs.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing an embodiment of an accident cause determination apparatus for implementing an accident cause determination method of the present invention.
The accident cause determination apparatus according to the present embodiment samples an output signal of the voltage / current sensor 2 for detecting the zero-phase voltage and the zero-phase current of the transmission / distribution electric line 1 at a predetermined period (for example, 312.5 KHZ) and performs AD conversion. And the sample data output from the AD converter 3 at the time of occurrence of the accident is stored in the sample data storage unit 4 and then checked against the determination reference data stored in advance in the determination reference data storage unit 5 The personal computer (hereinafter abbreviated as PC) 6 for determining the cause of the accident.
The PC 6 includes a keyboard 7, a mouse 8, and a display device 9 as input / output devices. In addition, a CPU 61 and a memory 62 are provided inside, and a sampling processing program 63 and an accident cause determination program 64 are stored in the memory 62.

Fig. 2 (a) is a waveform diagram showing typical examples of zero-phase current and zero-phase voltage waveforms when a ground fault occurs due to metal contact, and Fig. 2 (b) is a diagram showing ground faults due to insulator defects. FIG. 3 is a waveform diagram showing a typical example of a zero-phase current and zero-phase voltage waveform when a fault has occurred, and FIG. 3 shows a zero-phase current and zero-phase voltage waveform when a ground fault has occurred due to a contact with a broken wire. It is a wave form diagram which shows the typical example of.
Note that a ground fault caused by a contact with a wire breakage is an accident in which wood, etc. comes into contact with the insulation of the wire and rubs, insulation deterioration or exposed live parts are exposed, and contact between the wires or the support arm etc. leads to a ground fault. That is.
As is apparent from these waveform diagrams, the waveform shapes of the zero-phase current and the zero-phase voltage differ greatly depending on the cause of the accident, and each has a characteristic waveform shape. The present invention extracts the characteristics of the waveform shape and discriminates the cause of the accident.

FIG. 4 is a flowchart showing the sampling processing procedure of the sampling processing program 63. The AD conversion data of the zero phase voltage or the zero phase current output from the AD converter 3 is fetched at a predetermined cycle (step 401), and sample data is obtained. The process of storing in the storage unit 4 (step 402) is constantly repeated.
Thus, sample data obtained by sampling the zero-phase voltage or the zero-phase current at a predetermined cycle is sequentially stored in the sample data storage unit 4 in time series.
Here, the sampling period is preferably a period of several hundreds KHZ, such as a period of 312.5 KHZ, which does not lose the characteristics of the waveform at the time of the accident.

FIG. 5 is a flowchart showing a processing procedure of the accident cause determination program 64 activated when an accident occurs.
When a ground fault due to metal contact or the like occurs, the accident cause determination program 64 is activated by a command from the keyboard 7 or the like.
The activated accident cause determination program 64 first reads the sample data stored in the sample data storage unit 4 and extracts the sample data at the time of the occurrence of the accident (step 501). The sample data when no accident has occurred is theoretically a series of zero value data in time series, and the sample data at the time of an accident has non-zero value data in time series. Therefore, the latter data group is extracted from this feature.

Next, for sample data at the time of the accident, for example, a difference is calculated between the sample data at adjacent sampling times (step 502). In other words, the differential data of the sample data at the time of the accident occurrence is obtained. As a result, only the portion where the amplitude change is large remains.
Next, the calculated difference data is superimposed over a plurality of cycles of the commercial frequency to emphasize the characteristics of the difference data (step 503). That is, the difference data for N periods (for example, N = 10) of the fundamental period (for example, 20 ms) of the commercial frequency is superimposed in the basic period section.
When an accident occurs, a waveform shape peculiar to the cause of the accident illustrated in FIG. 2 and FIG. 3 repeatedly appears over a plurality of periods, so that differential data further emphasizing the characteristics of the waveform shape can be obtained.

Next, the overlapped difference data is equally divided into difference data of a plurality of sections B1 to Bn on the time axis as shown in FIG. 6, and a predetermined change amount δ (standard differential amount) in each divided section B1 to Bn. The number of difference data exceeding is counted (step 504).
In the example of FIG. 6, the number of overlay difference data exceeding the predetermined change amount δ in the divided section B1 is two.
Next, the appearance probability of the difference data exceeding the predetermined change amount δ appearing in each of the divided sections B1 to Bn is calculated based on the count value (step 505).
In the example of the divided section B1 in FIG. 6A, the number of overlapping difference data exceeding the predetermined change amount δ is two with respect to the total number of overlapping difference data 10 in the section. Will be 20%. Note that the example of FIG. 6 is schematically shown for easy understanding of the present invention.

Next, the number of sections in which the appearance probability exceeds the predetermined probability X% is counted (step 506). The number of sections in which the appearance probability exceeds the predetermined probability X% increases as an accident in which the waveform shape changes drastically. That is, as apparent from the waveform diagrams of FIGS. 2 and 3, the change in the waveform shape in the case of an accident caused by metal contact is the least, and the change in the waveform shape becomes severe in the order of insulator failure and wire-breaking contact. ing. For this reason, in the case of the disconnection covering contact, the number of sections exceeding the predetermined probability X% increases.
According to the experiment, when the number of sections exceeding the predetermined probability X% by accident cause such as metal contact, insulator failure, disconnection covering contact or cable failure is 50, the result as shown in FIG. Has been obtained.
In a ground fault caused by metal contact, the waveform shape is similar to a sine waveform as shown in FIG. For this reason, the number of sections exceeding the predetermined probability X% is all “0”.

Next, the number of sections exceeding the counted predetermined probability X% is collated with the number of sections exceeding the predetermined probability X% for each accident cause stored in the determination reference data storage unit 5 in advance as the determination reference data. The cause is determined (step 507). Then, the determined cause of the accident is displayed on the display device 9 (step 508).
FIG. 7 shows an example of the determination reference data stored in advance in the determination reference data storage unit 5.
In the above description, the case where there are three accidents has been described as an example, but it is needless to say that more accident causes can be distinguished.

It is a block diagram which shows the structure of the accident cause determination apparatus which concerns on one embodiment of this invention. It is a figure which shows the example of the surge waveform according to accident cause. It is a figure which shows the example of a surge waveform in case an accident cause is a disconnection coating contact. It is a flowchart which shows the procedure of a sampling process. It is a flowchart which shows the procedure of an accident cause discrimination | determination process. It is a figure which shows the example which divided | segmented the difference data which carried out the superimposition process into several division | segmentation areas, and the example of the experiment data of the division | segmentation area number where the appearance probability of the difference data exceeding a predetermined change rate exceeds a predetermined | prescribed probability. It is a figure which shows the example of the criteria data memorize | stored in a criteria data storage part.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Transmission / distribution electric wire 2 Voltage / current sensor 3 AD converter 4 Sample data storage part 5 Judgment reference data storage part 6 Personal computer 61 CPU
62 Memory 63 Sampling processing program 64 Accident cause determination program

Claims (2)

An accident cause determination method that analyzes the characteristics of the surge waveform at the time of occurrence of a fault such as a ground fault in a transmission and distribution line , and determines the cause of the accident,
The accident cause determination process
After sampling the surge waveform at the occurrence of a failure at a predetermined cycle, storing the sample data in the first storage means, reading the stored sample data, calculating the difference between the sample data at adjacent sampling times, and calculating The overlapped difference data is superimposed over a plurality of cycles of the commercial frequency, the characteristics of the difference data are emphasized, the overlapped difference data is equally divided into difference data of a plurality of sections on the time axis, and a predetermined change amount is set in each divided section. Measure the number of difference data exceeding, calculate the appearance probability of the difference data exceeding the predetermined change amount appearing in each divided section based on the measured value, and the divided section exceeding the predetermined probability among the calculated appearance probabilities of each divided section The number of divided sections exceeding the predetermined probability measured and the second storage means stored in advance as judgment reference data It causes another against the number of divided sections and exceeding a predetermined probability, accident determination method of transmission and distribution lines, characterized in that it consists of a process to determine the causes of accidents when a fault occurs, such as a ground fault in the TD line. An accident cause determination device that analyzes the characteristics of the surge waveform at the time of failure such as a ground fault in a transmission and distribution line by an accident cause determination device, and determines the cause of the accident,
Means for sampling a surge waveform at the occurrence of a failure at a predetermined period and storing the sample data in the first storage means; and means for reading the stored sample data and calculating a difference between the sample data at adjacent sampling times; The calculated difference data is overlapped over a plurality of periods of the commercial frequency, the means for emphasizing the characteristics of the difference data, and the overlapped difference data is equally divided into a plurality of sections of difference data on the time axis, A means for measuring the number of difference data exceeding a predetermined change amount, calculating the appearance probability of difference data exceeding the predetermined change amount appearing in each divided section based on the measured value, and the appearance probability of each calculated divided section Of these, the means for measuring the number of divided sections exceeding a predetermined probability, the number of divided sections exceeding the measured predetermined probability, and the second storage means A means for collating the number of division sections exceeding a predetermined probability for each cause of accident stored in advance as quasi-data, and determining means of an accident when a fault such as a ground fault occurs in a transmission and distribution line A device for determining the cause of accidents in transmission and distribution lines.

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