CN113533879B - GIS equipment detection rate calculation method based on fault simulation test - Google Patents
GIS equipment detection rate calculation method based on fault simulation test Download PDFInfo
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- CN113533879B CN113533879B CN202110655704.2A CN202110655704A CN113533879B CN 113533879 B CN113533879 B CN 113533879B CN 202110655704 A CN202110655704 A CN 202110655704A CN 113533879 B CN113533879 B CN 113533879B
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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
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
Abstract
The invention discloses a GIS equipment detection rate calculation method based on a fault simulation test, which is used for determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to the fault simulation test; respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument; counting the test times of the detection state of each sample being the same as the state corresponding to the sample typical value, and calculating the detection rate; the state of the sample typical value confirmed by the fault simulation experiment is compared with the detection state, the detection effect of the equipment on the sample is judged by calculating the detection rate, the detection effect is good, the equipment performance is good, the detection effect is bad, the equipment is unstable in operation, and the performance of the GIS equipment can be objectively reflected by the detection rate.
Description
Technical Field
The invention relates to the technical field of state evaluation of power transmission and transformation equipment, in particular to a GIS equipment detection rate calculation method based on a fault simulation test.
Background
With the development of advanced technologies such as 'cloud big object intelligence development', the requirement of building a 'digital power grid' on high-reliability intelligent power equipment is urgent. The quality of the power equipment improves the key point of long-term work of power enterprises, and the quality control of the power equipment is gradually applied to purchase and management of the equipment along with the whole life cycle control of the equipment, so that the evaluation equipment gradually transits from meeting the technical requirements to needing to evaluate the superiority of the performance of the equipment. And the technical index of 'good and bad' of the evaluation equipment is difficult. The existing GIS equipment technical specifications only provide qualitative technical requirements related to the whole life cycle cost of equipment, lack quantitative technical indexes for evaluating equipment 'good and bad', or provide partial quantitative indexes which are not systematic and have difficult data acquisition. And part of data factories self-fill, are audited by experts, most of the filled data are difficult to be proved and subjective; partial data are difficult to acquire, and the practicability is not strong.
Disclosure of Invention
The embodiment of the invention provides a GIS equipment detection rate calculation method based on a fault simulation test, which can objectively reflect the performance of GIS equipment by detecting the detection rate of the sample state of the GIS equipment.
The embodiment of the invention provides a GIS equipment detection rate calculation method based on a fault simulation test, which comprises the following steps:
determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to a fault simulation experiment;
respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument;
and counting the test times of which the detection state of each sample is the same as the state corresponding to the sample typical value, and calculating the detection rate.
Preferably, the boundary interval of the sample representative value when the sample of the GIS device is in each state includes: normal state boundary interval, attention state boundary interval, abnormal state boundary interval, and serious state boundary interval.
Preferably, the sample comprises: the static arc contact, the coil iron core, the coil return spring, the shaft pin, the air chamber and the contact;
when the sample is a static arc contact, the sample representative value is the size of the static arc contact;
when the sample is a coil, the sample representative value is the number of turns of the coil;
when the sample is a coil return spring, the sample representative value is the spring rate of the coil return spring;
when the sample is a pin, the sample representative value is the size of a static arcing contact;
when the sample is a gas cell, the sample is typically a partial discharge of the gas cell;
when the sample is a conductive contact, the sample representative value is the temperature of the contact.
Preferably, the determining, according to the fault simulation experiment, the boundary interval of the sample typical value when the sample of the GIS device is in each state specifically includes:
obtaining a standard typical value and an error range of a sample from a technical standard specification of the GIS equipment, determining a left boundary value and a right boundary value of the sample in a normal state, and determining a normal state boundary interval of left opening and right closing;
respectively applying a plurality of samples with sample typical values smaller than the standard typical values to the GIS equipment, respectively performing fault tests, and marking the minimum sample typical value of the samples which cannot fail to the GIS equipment as a right boundary value in a serious state;
determining a first boundary value and a second boundary value according to a preset proportion between the normal state left boundary interval value and the serious state boundary interval value;
determining a left-open-right attention state boundary interval according to the left boundary value of the normal state and the first boundary value;
determining an abnormal state boundary interval of left opening and right closing according to the first boundary value and the second boundary value;
and determining an abnormal state boundary interval of left opening and right closing according to the second boundary value and the right boundary value of the serious state.
Preferably, in the boundary interval of the sample typical value of each state, a first preset number of samples are respectively selected, each sample is applied to the GIS device, a second preset number of experiments are respectively performed, and the detection state of each sample is detected by a measuring instrument, which specifically includes:
and respectively selecting samples with N sample typical values in each state boundary interval, respectively applying each sample to the GIS equipment, carrying out M times of experiments on each sample, and detecting the detection state of each sample when each experiment is detected by a measuring instrument of each sample.
Preferably, the counting the number of tests that the detected state of each test is the same as the state corresponding to the sample typical value, and calculating the detection rate specifically includes:
when the detection state of the sample is the same as the state corresponding to the sample typical value, marking that the experiment is successfully detected;
when the detection state of the sample is different from the state corresponding to the sample typical value, marking that the experiment fails to detect;
and counting the ratio of the number of successful test times to the total number of the tests to obtain the detection rate.
According to the GIS equipment detection rate calculation method based on the fault simulation test, the boundary interval of the sample typical value when the sample of the GIS equipment is in each state is determined according to the fault simulation test; respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument; counting the test times of the detection state of each sample being the same as the state corresponding to the sample typical value, and calculating the detection rate; the state of the sample typical value confirmed by the fault simulation experiment is compared with the detection state, the detection effect of the equipment on the sample is judged by calculating the detection rate, the detection effect is good, the equipment performance is good, the detection effect is bad, the equipment is unstable in operation, and the performance of the GIS equipment can be objectively reflected by the detection rate.
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Fig. 1 is a schematic flow chart of a method for calculating the detection rate of a GIS device based on a fault simulation test according to an embodiment of the present invention.
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.
The embodiment of the invention provides a GIS equipment detection rate calculation method based on a fault simulation test, referring to fig. 1, which is a flow diagram of the GIS equipment detection rate calculation method based on the fault simulation test, and comprises steps S101-S103:
s101, determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to a fault simulation experiment;
s102, respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample by a measuring instrument;
s103, counting the test times that the detection state of each sample is the same as the state corresponding to the sample typical value, and calculating the detection rate.
When the embodiment is implemented, determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to a fault simulation experiment; the fault simulation experiment can simulate faults of samples of different faults of the GIS equipment to obtain boundary intervals of typical values of different fault samples, and the performance of the GIS equipment can be accurately detected;
respectively selecting a first preset number of samples in boundary intervals of sample typical values in different states, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, detecting the samples by different measuring instruments, and detecting the detection state of each sample;
and counting the test times of which the detection state of each sample is the same as the state corresponding to the sample typical value, and calculating the detection rate.
According to the GIS equipment detection rate calculation method based on the fault simulation test, which is provided by the embodiment of the invention, the boundary interval of the sample typical value when the sample of the GIS equipment is in each state is determined according to the fault simulation test; respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument; counting the test times of the detection state of each sample being the same as the state corresponding to the sample typical value, and calculating the detection rate; the state of the sample typical value confirmed by the fault simulation experiment is compared with the detection state, the detection effect of the equipment on the sample is judged by calculating the detection rate, the detection effect is good, the equipment performance is good, the detection effect is bad, the equipment is unstable in operation, and the performance of the GIS equipment can be objectively reflected by the detection rate.
In yet another embodiment of the present invention, the boundary interval of the sample representative value when the sample of the GIS device is in each state includes: normal state boundary interval, attention state boundary interval, abnormal state boundary interval, and serious state boundary interval.
When the embodiment is implemented, the states of the GIS equipment are divided into a normal state, an attention state, an abnormal state and a serious state, more detailed states are divided, and the accurate detection of the equipment performance is realized through a normal state boundary interval, an attention state boundary interval, an abnormal state boundary interval and a serious state boundary interval.
In yet another embodiment provided by the present invention, the sample comprises: the static arc contact, the coil iron core, the coil return spring, the shaft pin, the air chamber and the contact;
when the sample is a static arc contact, the sample representative value is the size of the static arc contact;
when the sample is a coil, the sample representative value is the number of turns of the coil;
when the sample is a coil return spring, the sample representative value is the spring rate of the coil return spring;
when the sample is a pin, the sample representative value is the size of a static arcing contact;
when the sample is a gas cell, the sample is typically a partial discharge of the gas cell;
when the sample is a conductive contact, the sample representative value is the temperature of the contact.
In this embodiment, the sample may be a part of the structure of the GIS device, and may be a static arc contact, a coil core, a coil return spring, a shaft pin, an air chamber, and a contact, where when different structures are adopted as samples for detection, different sample typical values correspond to each other, specifically: when the sample is a static arc contact, the sample representative value is the size of the static arc contact;
when the sample is a coil, the sample representative value is the number of turns of the coil;
when the sample is a coil return spring, the sample representative value is the spring rate of the coil return spring;
when the sample is a pin, the sample representative value is the size of a static arcing contact;
when the sample is a gas cell, the sample is typically a partial discharge of the gas cell;
when the sample is a conductive contact, the sample representative value is the temperature of the contact.
In the method provided by the invention, the detection rate can be calculated by using one of the samples, and the detection rate can be calculated by using a plurality of samples.
By selecting different samples, the detection rate is calculated using different sample representative values. The more samples are selected, the more accurate the detection rate is calculated, and the more balanced and objective the GIS equipment performance is detected.
In another embodiment of the present invention, the determining, according to a fault simulation experiment, a boundary interval of a sample representative value when a sample of the GIS device is in each state specifically includes:
obtaining a standard typical value and an error range of a sample from a technical standard specification of the GIS equipment, determining a left boundary value and a right boundary value of the sample in a normal state, and determining a normal state boundary interval of left opening and right closing;
respectively applying a plurality of samples with sample typical values smaller than the standard typical values to the GIS equipment, respectively performing fault tests, and marking the minimum sample typical value of the samples which cannot fail to the GIS equipment as a right boundary value in a serious state;
determining a first boundary value and a second boundary value according to a preset proportion between the normal state left boundary interval value and the serious state boundary interval value;
determining a left-open-right attention state boundary interval according to the left boundary value of the normal state and the first boundary value;
determining an abnormal state boundary interval of left opening and right closing according to the first boundary value and the second boundary value;
and determining an abnormal state boundary interval of left opening and right closing according to the second boundary value and the right boundary value of the serious state.
In the implementation of this embodiment, the description of the static arc contact as an experimental sample:
calculating a left boundary value and a right boundary value of the static arc contact in a normal state according to the standard specification length and the error range of the static arc contact in the technical standard specification of the GIS equipment, and obtaining a normal state boundary interval;
a plurality of static arc contacts with the length smaller than the standard specification length are respectively applied to the GIS equipment to carry out mechanical characteristic test, and the minimum length of the static arc contacts, which cannot generate static arc striking of the static arc contacts, is marked as a right boundary value in a serious state in the opening and closing process of the circuit breaker;
and the boundary interval value of the normal state and the boundary interval value of the abnormal state are in accordance with 1:1:1 determining a first boundary value and a second boundary value;
determining a left-open-right attention state boundary interval according to the left boundary value of the normal state and the first boundary value;
determining an abnormal state boundary interval of left opening and right closing according to the first boundary value and the second boundary value;
and determining an abnormal state boundary interval of left opening and right closing according to the second boundary value and the right boundary value of the serious state.
A normal state boundary interval, an attention state boundary interval, an abnormal state boundary interval, and a critical state boundary interval of a sample representative value of the static arcing contact are determined.
In this embodiment, the preset ratio is 1:1:1, the interval lengths of the attention state boundary interval, the abnormal state boundary interval and the serious state boundary interval are the same, but in other embodiments, different preset ratios may be selected according to different samples.
According to the actual condition that the sample works in the actual GIS equipment, whether the GIS equipment fails in the actual working condition is used for dividing the state interval, the interval division is more accurate, and more accurate detection of the equipment state can be realized.
In another embodiment of the present invention, in the boundary interval of the sample typical values of each state, a first preset number of samples are respectively selected, each sample is applied to the GIS device, a second preset number of experiments are respectively performed, and the detected state of each sample is detected by a measuring instrument, which specifically includes:
and selecting samples with N sample typical values in the normal state boundary interval, respectively applying each sample to the GIS equipment, carrying out M times of experiments on each sample, and detecting the detection state of each sample when each experiment is detected by a measuring instrument of each sample.
In this embodiment, a sample is taken as a static arcing contact as an example:
the method comprises the specific processes that the mechanical characteristic tester judges the state of the static arc contacts by detecting the working curve of the static arc contacts when in operation, and correspondingly matching the corresponding relation between the working curve in the mechanical characteristic tester and the state of the static arc contacts;
a total of 4 x n x m experiments were performed on all static arcing contacts;
the detection performance of the static arc contact of the GIS equipment can be detected by comparing the detection state obtained each time with the state obtained by the boundary interval corresponding to the length of the static arc contact. By adopting other samples to perform experiments, the detection rate is calculated, and the GIS performance can be detected in a balanced mode.
In still another embodiment of the present invention, the counting the number of tests that the detected state of each test is the same as the state corresponding to the sample typical value, and calculating the detection rate specifically includes:
when the detection state of the sample is the same as the state corresponding to the sample typical value, marking that the experiment is successfully detected;
when the detection state of the sample is different from the state corresponding to the sample typical value, marking that the experiment fails to detect;
and counting the ratio of the number of successful test times to the total number of the tests to obtain the detection rate.
When the embodiment is implemented, marking that the test is successful when the detection state of the sample is the same as the state corresponding to the sample typical value; when the detection state of the sample is different from the state corresponding to the sample typical value, marking that the experiment fails to detect;
and counting the times of successful detection to obtain the detection rate of X/(4X N X M).
And the quality of the GIS equipment is measured according to the calculated detection rate, and the detection result is more accurate.
The invention provides a GIS equipment detection rate calculation method based on a fault simulation test, which is used for determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to the fault simulation test; respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument; counting the test times of the detection state of each sample being the same as the state corresponding to the sample typical value, and calculating the detection rate; the state of the sample typical value confirmed by the fault simulation experiment is compared with the detection state, the detection effect of the equipment on the sample is judged by calculating the detection rate, the detection effect is good, the equipment performance is good, the detection effect is bad, the equipment is unstable in operation, and the performance of the GIS equipment can be objectively reflected by the detection rate.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (3)
1. A GIS equipment detection rate calculation method based on a fault simulation test is characterized by comprising the following steps:
determining a boundary interval of a sample typical value when a sample of GIS equipment is in each state according to a fault simulation experiment;
respectively selecting a first preset number of samples in a boundary interval of sample typical values of each state, applying each sample to the GIS equipment, respectively performing a second preset number of experiments, and detecting the detection state of each sample through a measuring instrument;
counting the test times of the detection state of each sample being the same as the state corresponding to the sample typical value, and calculating the detection rate;
the sample comprises: the static arc contact, the coil iron core, the coil return spring, the shaft pin, the air chamber and the contact;
when the sample is a static arc contact, the sample representative value is the size of the static arc contact;
when the sample is a coil, the sample representative value is the number of turns of the coil;
when the sample is a coil return spring, the sample representative value is the spring rate of the coil return spring;
when the sample is a pin, the sample representative value is the size of a static arcing contact;
when the sample is a gas cell, the sample is typically a partial discharge of the gas cell;
when the sample is a conductive contact, the sample representative value is the temperature of the contact;
the boundary interval of the sample typical value when the sample of the GIS equipment is in each state comprises: normal state boundary interval, attention state boundary interval, abnormal state boundary interval, and serious state boundary interval;
determining a boundary interval of a sample representative value when a sample of GIS equipment is in each state according to a fault simulation experiment, wherein the boundary interval comprises the following specific steps:
obtaining a standard typical value and an error range of a sample from a technical standard specification of the GIS equipment, determining a left boundary value and a right boundary value of the sample in a normal state, and determining a normal state boundary interval of left opening and right closing;
respectively applying a plurality of samples with sample typical values smaller than the standard typical values to the GIS equipment, respectively performing fault tests, and marking the minimum sample typical value of the samples which cannot fail to the GIS equipment as a right boundary value in a serious state;
determining a first boundary value and a second boundary value according to a preset proportion between the normal state left boundary interval value and the serious state boundary interval value;
determining a left-open-right attention state boundary interval according to the left boundary value of the normal state and the first boundary value;
determining an abnormal state boundary interval of left opening and right closing according to the first boundary value and the second boundary value;
and determining an abnormal state boundary interval of left opening and right closing according to the second boundary value and the right boundary value of the serious state.
2. The method for calculating the detection rate of the GIS device based on the fault simulation test according to claim 1, wherein in the boundary interval of the sample typical values of each state, a first preset number of samples are respectively selected, each sample is applied to the GIS device, a second preset number of experiments are respectively performed, and the detection state of each sample is detected by a measuring instrument, which specifically includes:
and respectively selecting samples with N sample typical values in each state boundary interval, respectively applying each sample to the GIS equipment, carrying out M times of experiments on each sample, and detecting the detection state of each sample when each experiment is detected by a measuring instrument of each sample.
3. The method for calculating the detection rate of the GIS equipment based on the fault simulation test according to claim 1, wherein the step of counting the test times that the detection state of each sample is the same as the state corresponding to the sample typical value, and the step of calculating the detection rate specifically comprises the following steps:
when the detection state of the sample is the same as the state corresponding to the sample typical value, marking that the experiment is successfully detected;
when the detection state of the sample is different from the state corresponding to the sample typical value, marking that the experiment fails to detect;
and counting the ratio of the number of successful test times to the total number of the tests to obtain the detection rate.
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| JP2672893B2 (en) * | 1991-02-20 | 1997-11-05 | 株式会社ピーエフユー | Failure simulation processor |
| CN103336216A (en) * | 2013-05-30 | 2013-10-02 | 国家电网公司 | GIS equipment fault simulation test system |
| CN103777123A (en) * | 2014-01-27 | 2014-05-07 | 国家电网公司 | Partial discharge fault comprehensive diagnosis method for GIS device |
| CN108646154A (en) * | 2018-06-22 | 2018-10-12 | 广西电网有限责任公司电力科学研究院 | A kind of GIS cable terminations Partial Discharge Detection and analysis and diagnosis system |
| CN109635428B (en) * | 2018-12-11 | 2022-12-06 | 红相股份有限公司 | GIS mechanical fault diagnosis method based on mechanical state signal analysis |
| CN110568301B (en) * | 2019-09-16 | 2021-08-17 | 国网河北省电力有限公司电力科学研究院 | Detection mode prejudging method based on effective detection rate of transformer state quantity |
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