CN117079926B - Plug-in type Internet of things dry-type transformer and health evaluation method - Google Patents
Plug-in type Internet of things dry-type transformer and health evaluation method Download PDFInfo
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- CN117079926B CN117079926B CN202310971752.1A CN202310971752A CN117079926B CN 117079926 B CN117079926 B CN 117079926B CN 202310971752 A CN202310971752 A CN 202310971752A CN 117079926 B CN117079926 B CN 117079926B
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- 230000036541 health Effects 0.000 title claims abstract description 33
- 238000011156 evaluation Methods 0.000 title claims abstract description 11
- 238000009413 insulation Methods 0.000 claims abstract description 30
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 8
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims abstract description 4
- 239000007788 liquid Substances 0.000 claims abstract description 4
- 239000011347 resin Substances 0.000 claims abstract description 4
- 229920005989 resin Polymers 0.000 claims abstract description 4
- 229910052710 silicon Inorganic materials 0.000 claims abstract description 4
- 239000010703 silicon Substances 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 5
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 239000004020 conductor Substances 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000009434 installation Methods 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 5
- 238000004088 simulation Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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- 230000006872 improvement Effects 0.000 description 1
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/06—Mounting, supporting or suspending transformers, reactors or choke coils not being of the signal type
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/28—Coils; Windings; Conductive connections
- H01F27/29—Terminals; Tapping arrangements for signal inductances
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/40—Structural association with built-in electric component, e.g. fuse
- H01F27/402—Association of measuring or protective means
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- General Health & Medical Sciences (AREA)
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- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
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Abstract
The invention discloses a plug-in type Internet of things dry-type transformer and a health evaluation method, wherein the transformer comprises a moving tool, a plug-in type coil and a wiring chamber, wherein the plug-in type coil is loaded at the upper end of the moving tool, and an ambient temperature sensor is arranged at one side of the moving tool; the plug-in type coil comprises an iron core, a coil sleeved on the periphery of the iron core and an insulating temperature sensor tightly attached to the wall surface of the coil, a shell is arranged outside the coil, outgoing lines of the coil are coupled with a moving contact arranged on the outer wall of the shell, the inside of the shell is formed by solidifying after being poured by liquid organic silicon resin, and a fan is arranged at the bottom of the shell; the surface of the wiring chamber is provided with a fixed contact used for being connected with the movable contact in an inserting way. The beneficial effects of the invention are as follows: the replacement efficiency of the transformer after the fault is improved, an insulation temperature sensor, an environment temperature sensor, a flexible current ring and a voltage sensor are arranged, and the insulation temperature sensor, the environment temperature sensor, the flexible current ring and the voltage sensor are connected with a fan into a monitoring unit, so that key parameters of temperature rise operation are obtained, and the health degree of the transformer is reflected.
Description
Technical Field
The invention relates to the technical field of dry transformers, in particular to a plug-in type internet-of-things dry transformer and a health evaluation method.
Background
The three-phase power dry-type transformer commonly used at present adopts a three-phase wire package integrated structure, and after a certain phase wire package of the transformer fails, the maintenance is inconvenient, the maintenance time is long, and the influence on the power supply persistence is larger.
Moreover, with the continuous improvement of the digital and intelligent operation and maintenance requirements of the transformer, the digital dry-type transformer with the transformer health status evaluation becomes a new requirement for the industrial upgrading of the dry-type transformer. As CN112464440a discloses a health status evaluation method of a dry-type transformer based on a three-level evaluation model, which is implemented by collecting key parameter data, insulation state quantity data and reliability parameter data in the operation condition of the dry-type transformer, and outputting the health index of the dry-type transformer after the three-level evaluation model operation. The above scheme makes a judgment on the fault position, the fault degree and the development trend, but the obtained correction factors are all preset and are obtained by looking up a table, so that the health degree of the dry type transformers in the same batch and the same environment can only be macroscopically judged, and the health degree of the dry type transformers can not be truly reflected.
Disclosure of Invention
Aiming at the problems of inconvenient maintenance and inaccurate health evaluation of the traditional dry-type transformer coil, the invention provides a plug-in type internet-of-things dry-type transformer and a health evaluation method, and aims to improve the convenience of operation and maintenance of the dry-type transformer.
In order to solve the above technical problems, a first aspect of the present invention provides a plug-in type internet-of-things dry-type transformer, comprising a moving tool, a plug-in type coil loaded at the upper end of the moving tool, and a junction room, wherein,
An ambient temperature sensor is arranged on one side of the moving tool;
The plug-in type coil comprises an iron core, a coil sleeved on the periphery of the iron core and an insulation temperature sensor tightly attached to the wall surface of the coil, a shell is arranged outside the coil, outgoing lines of the coil are coupled with a moving contact arranged on the outer wall of the shell, the inside of the shell is formed by solidifying after being poured by liquid organic silicon resin, and a fan is arranged at the bottom of the shell;
The surface of the wiring chamber is provided with a fixed contact for being in plug-in coupling with the movable contact, the fixed contact comprises fixed contact teeth, and a flexible current ring and a voltage sensor which are sleeved outside the fixed contact teeth;
And the outgoing line of the insulation temperature sensor, the control end of the fan, the ambient temperature sensor, the flexible current ring and the signal output end of the voltage sensor are connected with the input end of the monitoring unit.
In some embodiments, the stationary contact teeth, the flexible current loop, the voltage sensor, and the conductor bar are secured as one unit by an insulating sleeve.
In some embodiments, the ground in front of the wiring chamber is provided with a guide rail groove, the moving tool comprises a support for supporting the plug-in type coil, the bottom of the support is provided with a guide rail wheel in sliding connection with the guide rail groove, one side of the support, which is close to the wiring chamber, is provided with a limiting unit, and one side of the support, which is far away from the wiring chamber, is provided with a locking anti-slip unit.
The second aspect of the present invention provides a health evaluation method for the above-mentioned plug-in type internet-of-things dry-type transformer, comprising the following steps:
Acquiring rated parameters and real-time parameters;
wherein the nominal parameters include: the hot spot coefficient Z, the rated capacity Sn of the transformer and the rated temperature rise delta theta e of the transformer;
The real-time parameters include: the insulation temperature sensor acquires an insulation real-time temperature theta t, the monitoring unit acquires a state constant q of the fan, the environment temperature sensor acquires an environment real-time temperature theta en, the flexible current loop acquires a current value I, and the voltage sensor acquires a voltage value U;
analog transformer insulation Wen Sheng θ s:
Δθs＝Z×Δθe×(√3×U×I/Sn)q；
Calculating a temperature rise health index K of the transformer:
K＝[Δθs-(θt-θen)]/Δθs；
And correlating the temperature rise health index K of the transformer with a self-defined health level.
The beneficial effects of the invention are as follows: the detachable plug-in type coil is loaded on the moving tool, the moving contact on the plug-in type coil is utilized to be coupled with the fixed contact on the wiring chamber, after a certain phase line of the transformer is in fault, the moving contact and the fixed contact are separated, so that the physical connection between the plug-in type coil and the wiring chamber is cut off, then the plug-in type coil is moved away from the installation position through the moving tool, a new transformer is reinstalled at the installation position, and the replacement efficiency after the transformer is in fault is improved. And, set up insulating temperature sensor, ambient temperature sensor, flexible current ring and voltage sensor according to the characteristic of plug-in type coil to insert the monitoring unit with the fan, thereby obtain the key parameter of temperature rise operation, provide structural basis for simulating transformer insulating temperature rise and transformer temperature rise health index operation, reflect the health degree of transformer.
Drawings
Fig. 1 is a side view of a plug-in type internet of things dry-type transformer according to an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of a static contact according to an embodiment of the present disclosure;
fig. 3 is a front view of a plug-in type internet of things dry-type transformer according to an embodiment of the present invention;
Wherein: the device comprises a 1-moving tool, a 2-plug-in type coil, a 3-wiring chamber, a 4-ambient temperature sensor, a 5-fan, a 6-monitoring unit, a 7-guide rail groove, a 101-support, a 102-guide rail wheel, a 103-limiting unit, a 104-locking anti-slip unit, a 201-iron core, a 202-insulation temperature sensor, a 203-shell, a 204-moving contact, a 301-fixed contact, a 302-fixed contact tooth, a 303-flexible current ring and a 304-voltage sensor.
Detailed Description
The present invention will be described in further detail with reference to the drawings and the detailed description below, in order to make the objects, technical solutions and advantages of the present invention more clear and distinct. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the matters related to the present invention are shown in the accompanying drawings.
Example 1
The embodiment provides a plug-in type internet of things dry-type transformer, as shown in fig. 1, comprising a moving tool 1, a plug-in type coil 2 loaded at the upper end of the moving tool 1, and a wiring chamber 3, wherein,
An ambient temperature sensor 4 is installed on one side of the moving tool 1;
The plug-in type coil 2 comprises an iron core 201, a coil (not shown) sleeved on the periphery of the iron core 201 and an insulation temperature sensor 202 tightly attached to the wall surface of the coil, a shell 203 is arranged outside the coil, outgoing lines of the coil are coupled with a moving contact 204 arranged on the outer wall of the shell 203, the inside of the shell 203 is formed by solidifying after being poured by liquid organic silicon resin, and a fan 5 is arranged at the bottom of the shell 203;
As shown in fig. 2, the surface of the wiring chamber 3 is provided with a fixed contact 301 for plug-in coupling with the movable contact 204, the fixed contact 301 comprises a fixed contact tooth 302, and a flexible current ring 303 and a voltage sensor 304 which are sleeved outside the fixed contact tooth 302;
the outgoing line of the insulation temperature sensor 202, the control end of the fan 5, the signal output end of the ambient temperature sensor 4, the flexible current loop 303 and the voltage sensor 304 are connected to the input end of the monitoring unit 6.
In this embodiment, the detachable plug-in type coil 2 is loaded on the moving tool 1, the moving contact 204 on the plug-in type coil 2 is utilized to couple with the fixed contact 301 on the wiring chamber 3, when a certain phase line of the transformer fails, the moving contact 204 and the fixed contact 301 can be separated, so that the physical connection between the plug-in type coil 2 and the wiring chamber 3 is cut off, then the plug-in type coil 2 is moved away from the installation position by the moving tool 1, and a new transformer is reinstalled at the installation position, so that the replacement efficiency of the transformer after the failure is improved. In addition, in the embodiment, according to the characteristics of the plug-in type coil 2, an insulation temperature sensor 202, an ambient temperature sensor 4, a flexible current loop 303 and a voltage sensor 304 are arranged, and are connected to the monitoring unit 6 together with the fan 5, so that key parameters of temperature rise operation are obtained, a structural basis is provided for simulating insulation temperature rise and transformer temperature rise health index operation of the transformer in the second embodiment, and the health degree of the transformer is reflected.
Optionally, the fixed contact teeth 302, the flexible current ring 303, the voltage sensor 304 and the conductive bar are fixed into a whole by the insulating sleeve, and an independent current transformer and a voltage transformer are not required to be installed, so that the installation space is greatly saved.
As shown in fig. 1 and 3, the ground in front of the wiring chamber 3 is provided with a guide rail groove 7, the moving tool 1 comprises a bracket 101 for supporting the plug-in type coil 2, the bottom of the bracket 101 is provided with a guide rail wheel 102 which is in sliding connection with the guide rail groove 7, one side of the bracket 101, which is close to the wiring chamber 3, is provided with a limit unit 103, and one side of the bracket 101, which is far away from the wiring chamber 3, is provided with a locking anti-slip unit 104. In this scheme, the guide rail wheel 102 gradually approaches the wiring chamber 3 along the guide rail groove 7 until the support 101 abuts against the limit unit 103, and the positioning process is completed, so that the movable contact 204 can be aligned with the fixed contact 301, and finally the support 101 is locked at a preset position through the locking anti-slip unit 104, so that the bad contact fault of the movable contact 204 and the fixed contact 301 in the operation process of the transformer is avoided.
Example two
The embodiment provides a health evaluation method for the plug-in type internet-of-things dry-type transformer according to the first embodiment, comprising the following steps:
Acquiring rated parameters and real-time parameters;
Wherein the nominal parameters include: the hot spot coefficient Z, the rated capacity Sn of the transformer and the rated temperature rise delta theta e of the transformer;
The real-time parameters include: the insulation temperature sensor 202 acquires an insulation real-time temperature theta t, the monitoring unit 6 acquires a state constant q of the fan 5, the environment temperature sensor 4 acquires an environment real-time temperature theta en, the flexible current loop 303 acquires a current value I, and the voltage sensor 304 acquires a voltage value U;
analog transformer insulation Wen Sheng θ s:
Δθs＝Z×Δθe×(√3×U×I/Sn)q；
Calculating a temperature rise health index K of the transformer:
K＝[Δθs-(θt-θen)]/Δθs；
And correlating the temperature rise health index K of the transformer with a self-defined health level.
In this embodiment, the hot spot coefficient Z, the rated capacity Sn of the transformer, and the rated temperature rise Δθ e of the transformer can be obtained in advance, and then the plug-in type internet-of-things dry-type transformer according to embodiment one obtains the real-time current value I, the voltage value U, and the state constant q of the fan 5, so as to truly simulate the insulation temperature rise Δθs of the transformer. The basic principle is that the temperature rise of the transformer is related to the load rate of the transformer and the running state of the transformer fan. The load rate is equivalent to the ratio of the real-time power to the rated power of the transformer, and the temperature rise of the transformer increases along with the increase of the load rate; when the transformer fan is in a stop working state, the fan state coefficient can be 1.6; when the fan is in a working state, the fan state coefficient can be 2, so that accurate insulation temperature rise can be obtained.
Then, according to the transformer insulation temperature rise delta theta s obtained by simulation calculation, a transformer temperature rise health index K is further calculated, the calculation logic is that the transformer insulation real-time temperature rise (theta t-θen) is obtained according to the insulation real-time temperature theta t and the environment temperature theta en, the difference value of the insulation real-time temperature rise and the simulation temperature rise is calculated, the ratio of the difference value to the simulation temperature rise is defined as the transformer temperature rise health index K, when K < -0.2 >, the transformer temperature rises too high, the transformer is in danger of reducing the insulation life, the transformer temperature rise health index K and the transformer insulation temperature rise delta theta s are in strong association, and the insulation temperature rise is a key life parameter of the transformer, so that the health degree of the transformer can be represented. In addition, the above-mentioned customized health degree level can be classified according to the personal selection of the user, without particular limitation.
The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same, and are not intended to limit the scope of the present invention. All equivalent changes or modifications made in accordance with the essence of the present invention are intended to be included within the scope of the present invention.
Claims (3)
1. The health evaluation method is used for a plug-in type internet-of-things dry-type transformer, and the plug-in type internet-of-things dry-type transformer comprises a moving tool, a plug-in type coil and a wiring chamber, wherein the plug-in type coil is loaded at the upper end of the moving tool, and an ambient temperature sensor is installed at one side of the moving tool; the plug-in type coil comprises an iron core, a coil sleeved on the periphery of the iron core and an insulation temperature sensor tightly attached to the wall surface of the coil, a shell is arranged outside the coil, outgoing lines of the coil are coupled with a moving contact arranged on the outer wall of the shell, the inside of the shell is formed by solidifying after being poured by liquid organic silicon resin, and a fan is arranged at the bottom of the shell; the surface of the wiring chamber is provided with a fixed contact for being in plug-in coupling with the movable contact, the fixed contact comprises fixed contact teeth, and a flexible current ring and a voltage sensor which are sleeved outside the fixed contact teeth; the outgoing line of the insulation temperature sensor, the control end of the fan, the environmental temperature sensor, the flexible current ring and the signal output end of the voltage sensor are connected to the input end of the monitoring unit, and the method is characterized by comprising the following steps:
Acquiring rated parameters and real-time parameters;
wherein the nominal parameters include: the hot spot coefficient Z, the rated capacity Sn of the transformer and the rated temperature rise delta theta e of the transformer;
The real-time parameters include: the insulation temperature sensor acquires an insulation real-time temperature theta t, the monitoring unit acquires a state constant q of the fan, the environment temperature sensor acquires an environment real-time temperature theta en, the flexible current loop acquires a current value I, and the voltage sensor acquires a voltage value U; when the fan is in a stop working state, the state coefficient q of the fan is 1.6; when the fan is in a working state, the state coefficient q of the fan is 2;
analog transformer insulation Wen Sheng θ s:
Δθs＝Z×Δθe×(√3×U×I/Sn)q；
Calculating a temperature rise health index K of the transformer:
K＝[Δθs-(θt-θen)]/Δθs；
And correlating the temperature rise health index K of the transformer with a self-defined health level.
2. The health assessment method according to claim 1, wherein said stationary contact teeth, said flexible current loop, said voltage sensor and said conductor bar are fixed as one unit by an insulating sleeve.
3. The health assessment method according to claim 1, wherein a guide rail groove is installed on the ground in front of the wiring chamber, the moving tool comprises a support for supporting the plug-in type coil, guide rail wheels which are in sliding connection with the guide rail groove are arranged at the bottom of the support, a limit unit is arranged on one side, close to the wiring chamber, of the support, and a locking anti-slip unit is arranged on one side, far away from the wiring chamber, of the support.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310971752.1A CN117079926B (en) | 2023-08-03 | 2023-08-03 | Plug-in type Internet of things dry-type transformer and health evaluation method |
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| CN202310971752.1A CN117079926B (en) | 2023-08-03 | 2023-08-03 | Plug-in type Internet of things dry-type transformer and health evaluation method |
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| CN117079926A CN117079926A (en) | 2023-11-17 |
| CN117079926B true CN117079926B (en) | 2024-05-17 |
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| KR101046752B1 (en) * | 2010-06-25 | 2011-07-06 | 한국전력공사 | Transformer life assessment method |
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| CN111784175A (en) * | 2020-07-10 | 2020-10-16 | 西南石油大学 | Distribution transformer risk assessment method and system based on multi-source information |
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| CN113721166A (en) * | 2021-08-25 | 2021-11-30 | 许昌许继软件技术有限公司 | Dry-type full-sensing intelligent transformer device and management system thereof |
-
2023
- 2023-08-03 CN CN202310971752.1A patent/CN117079926B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1819435A (en) * | 2005-04-15 | 2006-08-16 | 李之彦 | Universal digital magnetic suspension device its controlling method and device integrating method thereof |
| CN101001004A (en) * | 2006-01-11 | 2007-07-18 | 上海大佳电器有限公司 | Operation power supply carriage for voltage control cabinet |
| KR101046752B1 (en) * | 2010-06-25 | 2011-07-06 | 한국전력공사 | Transformer life assessment method |
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| CN112464440A (en) * | 2020-11-03 | 2021-03-09 | 江苏核电有限公司 | Dry-type transformer health condition evaluation method based on three-level evaluation model |
| CN113721166A (en) * | 2021-08-25 | 2021-11-30 | 许昌许继软件技术有限公司 | Dry-type full-sensing intelligent transformer device and management system thereof |
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| CN117079926A (en) | 2023-11-17 |
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