CN110940889A - Fault detection method for high-voltage power equipment - Google Patents

Fault detection method for high-voltage power equipment Download PDF

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Publication number
CN110940889A
CN110940889A CN201911242705.3A CN201911242705A CN110940889A CN 110940889 A CN110940889 A CN 110940889A CN 201911242705 A CN201911242705 A CN 201911242705A CN 110940889 A CN110940889 A CN 110940889A
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CN
China
Prior art keywords
voltage
fault
area
power equipment
time
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Pending
Application number
CN201911242705.3A
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Chinese (zh)
Inventor
程兴胜
黎斌
贾煜晗
黎月溶
贾刚
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XI'AN RUICHI ELECTRIC CO Ltd
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XI'AN RUICHI ELECTRIC CO Ltd
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Priority to CN201911242705.3A priority Critical patent/CN110940889A/en
Publication of CN110940889A publication Critical patent/CN110940889A/en
Pending legal-status Critical Current

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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
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • 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
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/088—Aspects of digital computing
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52—Outage or fault management, e.g. fault detection or location

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a fault detection method for high-voltage power equipment, which is implemented according to the following steps: step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions; and 3, predicting the training data set to obtain a plurality of groups of prediction results, and further obtaining the coordinates of the fault area. The invention solves the problems of low efficiency and poor precision of fault detection of high-voltage power equipment in the prior art.

Description

Fault detection method for high-voltage power equipment
Technical Field
The invention belongs to the technical field of power equipment detection, and particularly relates to a fault detection method for high-voltage power equipment.
Background
At present, safety prediction of power equipment is a key problem of safe operation of an active power distribution network. However, the large amount of unstructured image data obtained by detection causes difficulty in fault diagnosis and state estimation due to the lack of an effective structured mode. The traditional fault diagnosis needs to manually check detection images one by one, so that the accuracy and the effectiveness are poor, and the safety management of equipment is passive due to the lack of subsequent trend modeling analysis.
Disclosure of Invention
The invention aims to provide a fault detection method for high-voltage power equipment, which solves the problems of low efficiency and poor precision of fault detection of the high-voltage power equipment in the prior art.
The invention adopts the technical scheme that a fault detection method for high-voltage power equipment is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results, and further obtaining the coordinates of the fault area.
The present invention is also characterized in that,
in the step 1, the sampling time interval is 10-20 s.
In the step 1, 50-100 regions N are divided.
And 3, recording an area corresponding to the result smaller than 40-50 in the prediction result as a non-fault area.
In step 3, the area corresponding to the result smaller than 80 and larger than 51 in the prediction result is recorded as a general fault area, and if the result is larger than 80 or more, the fault is determined to be a serious fault.
The method for detecting the fault of the high-voltage power equipment has the advantages of simplicity, high efficiency, strong reliability, easiness in operation, low cost and wide application market.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
The invention relates to a fault detection method for high-voltage power equipment, which is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; wherein the sampling time interval is 10-20 s; dividing the number of the regions N into 50-100;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results and further obtain the coordinates of the fault area, wherein the area corresponding to the result smaller than 40-50 in the prediction results is recorded as a fault-free area, the area corresponding to the result smaller than 80 and larger than 51 in the prediction results is recorded as a general fault area, and if the result is larger than 80, the fault is judged to be a serious fault.
Example 1
The invention relates to a fault detection method for high-voltage power equipment, which is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; wherein the sampling time interval is 10 s; dividing the number of the regions N into 50;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results and further obtain the coordinates of the fault area, wherein the area corresponding to the result smaller than 40-50 in the prediction results is recorded as a fault-free area, the area corresponding to the result smaller than 80 and larger than 51 in the prediction results is recorded as a general fault area, and if the result is larger than 80, the fault is judged to be a serious fault.
Example 2
The invention relates to a fault detection method for high-voltage power equipment, which is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; wherein the sampling time interval is 20 s; dividing the area N into 100 areas;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results and further obtain the coordinates of the fault area, wherein the area corresponding to the result smaller than 40-50 in the prediction results is recorded as a fault-free area, the area corresponding to the result smaller than 80 and larger than 51 in the prediction results is recorded as a general fault area, and if the result is larger than 80, the fault is judged to be a serious fault.
Example 3
The invention relates to a fault detection method for high-voltage power equipment, which is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; wherein the sampling time interval is 15 s; dividing the area N into 80 areas;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results and further obtain the coordinates of the fault area, wherein the area corresponding to the result smaller than 40-50 in the prediction results is recorded as a fault-free area, the area corresponding to the result smaller than 80 and larger than 51 in the prediction results is recorded as a general fault area, and if the result is larger than 80, the fault is judged to be a serious fault.
Example 4
The invention relates to a fault detection method for high-voltage power equipment, which is implemented according to the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time; wherein the sampling time interval is 18 s; dividing the number of the regions N into 90;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results and further obtain the coordinates of the fault area, wherein the area corresponding to the result smaller than 40-50 in the prediction results is recorded as a fault-free area, the area corresponding to the result smaller than 80 and larger than 51 in the prediction results is recorded as a general fault area, and if the result is larger than 80, the fault is judged to be a serious fault.

Claims (5)

1. A fault detection method for high-voltage power equipment is characterized by comprising the following steps:
step 1, dividing the interior of power equipment into N areas, sampling current and voltage signals in each area, and drawing a waveform change diagram of current and voltage along with time;
step 2, recording the time and voltage and current information corresponding to the highest point and the lowest point in the curve graph in each area in the step 1, and writing the time and voltage and current information into a function of voltage with respect to current and time; training all functions;
and 3, predicting the training data set to obtain a plurality of groups of prediction results, and further obtaining the coordinates of the fault area.
2. The method for detecting the fault of the high-voltage power equipment according to claim 1, wherein the sampling time interval in the step 1 is 10-20 s.
3. The method for detecting the fault of the high-voltage power equipment according to claim 1, wherein the number of the divided areas N in the step 1 is 50-100.
4. The method for detecting the fault of the high-voltage power equipment according to claim 1, wherein in the step 3, an area corresponding to a result smaller than 40-50 in the prediction result is marked as a fault-free area.
5. The method according to claim 1, wherein in step 3, a region corresponding to a result smaller than 80 and larger than 51 in the prediction result is regarded as a general fault region, and if the result is larger than 80 or more, the fault is determined to be a serious fault.
CN201911242705.3A 2019-12-06 2019-12-06 Fault detection method for high-voltage power equipment Pending CN110940889A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911242705.3A CN110940889A (en) 2019-12-06 2019-12-06 Fault detection method for high-voltage power equipment

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Application Number Priority Date Filing Date Title
CN201911242705.3A CN110940889A (en) 2019-12-06 2019-12-06 Fault detection method for high-voltage power equipment

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Citations (11)

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CN101110525A (en) * 2006-07-18 2008-01-23 广州南方电力集团科技发展有限公司 Distributing transformer monitoring terminal set and use thereof
CN201985627U (en) * 2011-05-06 2011-09-21 中国神华能源股份有限公司 Power distribution terminal and intelligent power grid system using same
CN102607643A (en) * 2012-01-18 2012-07-25 西安交通大学 Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway
CN106655505A (en) * 2016-11-30 2017-05-10 上海新辉电器有限公司 Simulation screen for monitoring switch cabinet circuit system
CN206274333U (en) * 2016-11-30 2017-06-23 上海新辉电器有限公司 The voltage monitoring system of switch cubicle
CN206488855U (en) * 2017-02-27 2017-09-12 河南工业职业技术学院 A kind of high voltage electric equipment temperature alarming device
CN109063762A (en) * 2018-07-23 2018-12-21 昆明理工大学 A kind of line clogging fault recognition method based on DT-CWT and S4VM
CN109376392A (en) * 2018-09-21 2019-02-22 全球能源互联网研究院有限公司 A kind of the overvoltage calculation method and system of tandem type compensation device
US20190137557A1 (en) * 2015-09-09 2019-05-09 Beijing Inhand Networks Technology Co., Ltd. Method and system for detecting and locating single-phase ground fault on low current grounded power-distribution network
CN109858352A (en) * 2018-12-26 2019-06-07 华中科技大学 A kind of method for diagnosing faults based on compressed sensing and the multiple dimensioned network of improvement
CN109917205A (en) * 2019-03-13 2019-06-21 中南大学 A kind of solenoid valve failure diagnostic device and method based on feature extraction and multi-layer perception (MLP)

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101110525A (en) * 2006-07-18 2008-01-23 广州南方电力集团科技发展有限公司 Distributing transformer monitoring terminal set and use thereof
CN201985627U (en) * 2011-05-06 2011-09-21 中国神华能源股份有限公司 Power distribution terminal and intelligent power grid system using same
CN102607643A (en) * 2012-01-18 2012-07-25 西安交通大学 Overheat fault diagnosis and early warning system and method for electrical equipment of traction substation of electrified railway
US20190137557A1 (en) * 2015-09-09 2019-05-09 Beijing Inhand Networks Technology Co., Ltd. Method and system for detecting and locating single-phase ground fault on low current grounded power-distribution network
CN106655505A (en) * 2016-11-30 2017-05-10 上海新辉电器有限公司 Simulation screen for monitoring switch cabinet circuit system
CN206274333U (en) * 2016-11-30 2017-06-23 上海新辉电器有限公司 The voltage monitoring system of switch cubicle
CN206488855U (en) * 2017-02-27 2017-09-12 河南工业职业技术学院 A kind of high voltage electric equipment temperature alarming device
CN109063762A (en) * 2018-07-23 2018-12-21 昆明理工大学 A kind of line clogging fault recognition method based on DT-CWT and S4VM
CN109376392A (en) * 2018-09-21 2019-02-22 全球能源互联网研究院有限公司 A kind of the overvoltage calculation method and system of tandem type compensation device
CN109858352A (en) * 2018-12-26 2019-06-07 华中科技大学 A kind of method for diagnosing faults based on compressed sensing and the multiple dimensioned network of improvement
CN109917205A (en) * 2019-03-13 2019-06-21 中南大学 A kind of solenoid valve failure diagnostic device and method based on feature extraction and multi-layer perception (MLP)

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