CN117572327A - Current transformer operation abnormity monitoring method - Google Patents
Current transformer operation abnormity monitoring method Download PDFInfo
- Publication number
- CN117572327A CN117572327A CN202311384127.3A CN202311384127A CN117572327A CN 117572327 A CN117572327 A CN 117572327A CN 202311384127 A CN202311384127 A CN 202311384127A CN 117572327 A CN117572327 A CN 117572327A
- Authority
- CN
- China
- Prior art keywords
- current transformer
- information
- abnormal
- characteristic
- signals
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 46
- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 claims abstract description 5
- 238000012549 training Methods 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000007689 inspection Methods 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 3
- 238000009421 internal insulation Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000009413 insulation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 101100238516 Rattus norvegicus Mrgprx1 gene Proteins 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention discloses a current transformer operation abnormity monitoring method, which relates to the technical field of power system automation and is characterized in that an ultrasonic sensor is arranged to collect vibration and noise data of the current transformer in various operation states; the collected signals are sent to a centralized control and diagnosis center through a coaxial transmission cable, and clutter signals from the environment are shielded; comparing the abnormal information of the current transformer with the characteristic signals through a centralized control and diagnosis center, positioning the fault type, outputting the fault type to a panel through an alarm outlet, and sending the fault type to other monitoring systems through a communication system; training and testing the whole system by initially collecting normal signals and importing abnormal characteristic signals, wherein the abnormal characteristic information is added and updated according to the input fault information collected on various fields; the problem of current transformer abnormal state monitoring time efficiency poor is solved.
Description
Technical Field
The invention relates to the technical field of power system automation, in particular to a current transformer operation abnormity monitoring method.
Background
Current transformers (Current Transformer, CT for short) are widely used in power systems and other related fields to provide accurate current information and critical safety protection for system operation, including power measurement and metering, power system protection, ground fault detection, power control and management, insulation monitoring, and market trading and power quality analysis.
Whether the current transformer stably operates and provides accurate measurement signals is a key factor for ensuring system safety, accurate measurement and the like, and if the current transformer operates abnormally, great hidden danger is brought to each measurement and protection system. At present, the current transformer has more problems such as open circuit of a secondary circuit, inter-turn insulation fault and the like, but the problems are difficult to judge in the operation of the transformer, and the best processing time is always missed after the problems are found. In addition, because the number of current transformers in the system is large, and the primary side is accompanied by high voltage in operation, the current transformers are difficult to be checked one by one in situ by daily operation and maintenance personnel, and higher requirements are provided for daily operation and maintenance defect elimination work. At present, the abnormality monitoring of the current transformer is mainly indirectly embodied by a monitoring and protecting device for obtaining measured values, and the timeliness of the mode is poor.
Therefore, a current transformer abnormality monitoring method is needed to rapidly judge and give the operation state of the transformer.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a current transformer operation abnormity monitoring method which solves the problem of poor timeliness caused by the fact that the abnormal state of the current transformer is mainly reflected indirectly through abnormal measurement values of a monitoring and protecting device.
The invention solves the problems by adopting the following technical scheme: the method for monitoring the abnormal operation of the current transformer is characterized in that vibration and noise data of the current transformer in various operation states are collected by arranging an ultrasonic sensor; the collected signals are sent to a centralized control and diagnosis center through a coaxial transmission cable, and clutter signals from the environment are shielded; comparing the abnormal information of the current transformer with the characteristic signals through a centralized control and diagnosis center, positioning the fault type, outputting the fault type to a panel through an alarm outlet, and sending the fault type to other monitoring systems through a communication system; training and testing the whole system by initially collecting normal signals and importing abnormal characteristic signals, wherein the abnormal characteristic information is added and updated according to the input fault information collected on various fields;
the monitoring method comprises the following specific steps:
1) The ultrasonic sensor attached to the current transformer collects vibration and acoustic wave information of the current transformer under various operation conditions in a pre-operation stage, and the vibration and acoustic wave information is sent to a centralized control and diagnosis center through a coaxial cable and stored in a database after noise reduction treatment;
2) The database is used for prefabricating abnormal operation characteristic information of the current transformer, such as secondary open circuit, internal insulation faults and the like of the current transformer, setting a threshold value according to the abnormal operation characteristic information, and carrying out addition update according to the fault information collected by various inputted sites;
3) When the current transformer operates abnormally, the ultrasonic sensor attached to the current transformer sends abnormal vibration and acoustic wave information to a centralized control and diagnosis center through a coaxial cable, and a threshold value is triggered to perform characteristic inspection with characteristic information in a database;
4) The display and external output module displays the inspection result representing the abnormal operation type information.
Further, vibration and acoustic wave information representing the running state of the current transformer are collected through an ultrasonic sensor attached to the outer surface of the current transformer; the method comprises the steps of prefabricating a characteristic database of a monitoring system, inputting general abnormal information representing a current transformer into the characteristic database, and preliminarily setting an alarm threshold value according to the general abnormal information; the current transformer normal and abnormal operation information monitoring system collected through the prefabricated information and the pre-operation can be continuously trained and tested, so that higher accuracy is achieved.
Compared with the prior art, the invention has the following advantages and effects: vibration and noise data of the transformer in various running states can be acquired by arranging the ultrasonic sensor; the collected signals are sent to a centralized control and diagnosis center through a coaxial transmission cable, so that various clutter signals from the environment can be effectively shielded; the abnormal information of the current transformer is compared with the characteristic signals through the centralized control and diagnosis center, so that the fault type can be accurately positioned, and the fault type can be output to a panel through an alarm outlet and sent to other monitoring systems through a communication system; the accuracy of the system diagnosis result can be improved by initially collecting normal signals and importing abnormal characteristic signals for training and testing, and the abnormal characteristic information of the part can be added and updated according to the input fault information collected on various sites. The problem of current transformer abnormal state monitoring time efficiency poor is solved.
Drawings
Fig. 1 is a system configuration diagram of an embodiment of the present invention.
Fig. 2 is an algorithm flow chart of an embodiment of the present invention.
In fig. 1: 1 is a plurality of current transformers monitored by the system, from CT1 to CTn;2 is a monitoring system: SNSR1-SNSRn are ultrasonic sensors, XFE1-XFEN are coaxial cable transmission components corresponding to the sensors, CPU is a centralized control and diagnosis center, DB is a characteristic database, and ALM is a display and external output module.
Detailed Description
The present invention will be described in further detail by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and not limited to the following examples.
Examples
As shown in fig. 1-2, in this embodiment, a current transformer abnormal operation monitoring method is provided, and in operation, a current transformer 1 and a monitoring system 2 form a complete device and an operation state monitoring system thereof.
After the monitoring system 2 is installed, debugging is carried out, a characteristic database of the monitoring system 2 is prefabricated and a threshold value is preliminarily set during the debugging, signals above and below the threshold value are applied to each ultrasonic sensor of the monitoring system 2 at the position of the current transformer 1, whether the centralized control and diagnosis center of the monitoring system 2 judges primary normal and abnormal information or not is confirmed, and the primary normal and abnormal information is displayed through a display and external output module of the monitoring system 2;
after the debugging is finished, the monitoring system 2 is pre-operated, the fault tolerance time is set to be not less than one week, the monitoring system 2 is started to collect the normal state and abnormal information of the current transformer 1 through the ultrasonic sensor (the normal state of the current transformer 1 is judged through other monitoring and protecting devices during the pre-operation period), and the abnormal information is sent to the characteristic database through the coaxial cable of the monitoring system 2, and the monitoring system 2 can achieve extremely high accuracy through continuous training and testing during the period;
after the operation is performed in advance, the monitoring system 2 still continuously collects normal vibration and acoustic wave information through an ultrasonic sensor of the monitoring system, and continuously perfects the triggering alarm threshold value, when the current transformer 1 is in abnormal operation, such as secondary loop open circuit, primary system overcurrent, internal insulation abnormality and other information, the ultrasonic sensor of the monitoring system 2 can send the information to a centralized control and diagnosis center through a coaxial cable, the abnormal type is given through calculation and verification, and the local and remote alarm is performed through a display and external output module;
the monitoring system 2 finishes the alarming of the abnormal monitoring of the current transformer 1, the whole process finishes the work of acquisition, diagnosis and the like for the computer automation level, and the timeliness of the abnormal alarming is ensured.
Working principle: the characteristic database DB of the monitoring system 2 is used for prefabricating general abnormal operation characteristic information of the current transformer 1, such as secondary open circuit, internal insulation fault and the like of the current transformer, and setting a preliminary threshold value according to the general abnormal operation characteristic information, and adding and updating can be carried out according to fault information collected on various fields which are input; the ultrasonic sensor attached to the current transformer 1 (CT 1-CTn) collects vibration and sound wave information of the current transformer 1 under various operation conditions in the pre-operation and actual operation stages, the vibration and sound wave information is sent to a centralized control and diagnosis center through a coaxial cable (XFE 1-XFEN) of the monitoring system 2, the vibration and sound wave information is stored in a database of the monitoring system 2 after noise reduction treatment, and vibration and sound wave signal thresholds are continuously perfected in the actual operation process; when the current transformer 1 runs abnormally, an ultrasonic sensor (SNSR 1-SNSRn) attached to the current transformer 1 sends abnormal vibration and acoustic wave information to a Central Processing Unit (CPU) of a centralized control and diagnosis center of the monitoring system 2 through a coaxial cable (XFE 1-XFEN) of the monitoring system 2, triggers a threshold value, and performs characteristic inspection through characteristic information in a characteristic database DB of the monitoring system 2; the monitoring system 2 displays and displays the inspection result of the abnormal operation type information by the external output module ALM.
What is not described in detail in this specification is all that is known to those skilled in the art.
Although the present invention has been described with reference to the above embodiments, it should be understood that the invention is not limited to the embodiments described above, but is capable of modification and variation without departing from the spirit and scope of the present invention.
Claims (2)
1. The method for monitoring the abnormal operation of the current transformer is characterized in that vibration and noise data of the current transformer in various operation states are collected by arranging an ultrasonic sensor; the collected signals are sent to a centralized control and diagnosis center through a coaxial transmission cable, and clutter signals from the environment are shielded; comparing the abnormal information of the current transformer with the characteristic signals through a centralized control and diagnosis center, positioning the fault type, outputting the fault type to a panel through an alarm outlet, and sending the fault type to other monitoring systems through a communication system; training and testing the whole system by initially collecting normal signals and importing abnormal characteristic signals, wherein the abnormal characteristic information is added and updated according to the input fault information collected on various fields;
the monitoring method comprises the following specific steps:
1) The ultrasonic sensor attached to the current transformer collects vibration and acoustic wave information of the current transformer under various operation conditions in a pre-operation stage, and the vibration and acoustic wave information is sent to a centralized control and diagnosis center through a coaxial cable and stored in a database after noise reduction treatment;
2) Prefabricating abnormal operation characteristic information of the current transformer in the database, setting a threshold value according to the abnormal operation characteristic information, and adding and updating according to the input fault information collected by various sites;
3) When the current transformer operates abnormally, the ultrasonic sensor attached to the current transformer sends abnormal vibration and acoustic wave information to a centralized control and diagnosis center through a coaxial cable, and a threshold value is triggered to perform characteristic inspection with characteristic information in a database;
4) The display and external output module displays the inspection result representing the abnormal operation type information.
2. The method for monitoring abnormal operation of a current transformer according to claim 1, wherein vibration and acoustic wave information representing the operation state of the current transformer are collected through an ultrasonic sensor attached to the outer surface of the current transformer; the method comprises the steps of prefabricating a characteristic database of a monitoring system, inputting general abnormal information representing a current transformer into the characteristic database, and preliminarily setting an alarm threshold value according to the general abnormal information; the current transformer normal and abnormal operation information monitoring system collected through the prefabricated information and the pre-operation is continuously trained and tested, and higher accuracy is achieved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311384127.3A CN117572327A (en) | 2023-10-24 | 2023-10-24 | Current transformer operation abnormity monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311384127.3A CN117572327A (en) | 2023-10-24 | 2023-10-24 | Current transformer operation abnormity monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117572327A true CN117572327A (en) | 2024-02-20 |
Family
ID=89887072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311384127.3A Pending CN117572327A (en) | 2023-10-24 | 2023-10-24 | Current transformer operation abnormity monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117572327A (en) |
-
2023
- 2023-10-24 CN CN202311384127.3A patent/CN117572327A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110766277B (en) | Health assessment and diagnosis system and mobile terminal for nuclear industry field | |
| CN1862278B (en) | Method and system for predicting remaining life for motors featuring on-line insulation condition monitor | |
| KR101196148B1 (en) | Remote monitoring apparatus | |
| CN108731921B (en) | Equipment connecting piece fault monitoring method and system | |
| Ramírez-Niño et al. | Acoustic measuring of partial discharge in power transformers | |
| CN108490323A (en) | A kind of system and method for being handled transformer fault | |
| CN109188197B (en) | Evaluation system and method for health index of high-voltage cable | |
| CN103983881B (en) | The method for diagnosing faults of nuclear detector and device | |
| Wang et al. | Reflectometry-based cable insulation aging diagnosis and prognosis | |
| CN108362966A (en) | A kind of oil-immersed type transformer high-precision noise on-line monitoring method and system | |
| CN108414877A (en) | One kind to transformer fault for carrying out pre-warning system and method | |
| CN206583962U (en) | LCDs OTP burning circuit for testing voltage plates and system | |
| CN115656738A (en) | Online switch cabinet partial discharge monitoring system and method | |
| CN117851956B (en) | Electromechanical equipment fault diagnosis method, system and terminal based on data analysis | |
| CN111999614A (en) | Local discharge multi-source fusion detection early warning method for high-voltage switch cabinet | |
| CN117074852A (en) | Power distribution network electric energy monitoring and early warning management method and system | |
| WO2022105285A1 (en) | System and method for monitoring abnormal state on basis of impact event | |
| JP2012181859A (en) | Remote monitoring apparatus | |
| Taki et al. | Soft fault diagnosis in wiring networks using reflectometry and Principal Component Analysis | |
| CN117578711A (en) | Power grid power transmission quantity monitoring system and monitoring method thereof | |
| CN117572327A (en) | Current transformer operation abnormity monitoring method | |
| CN114910763A (en) | GIS partial discharge monitoring method and device | |
| CN113267711B (en) | On-line monitoring system and method for insulation state of high-voltage electrical equipment of transformer substation | |
| KR102553444B1 (en) | Automatic test device and automatic test method of substation diagnostic system | |
| CN110307899A (en) | Sound anomaly detection system based on deep learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |