CN114089177B - GIS equipment state evaluation method and system based on space-time backtracking technology - Google Patents
GIS equipment state evaluation method and system based on space-time backtracking technology Download PDFInfo
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- CN114089177B CN114089177B CN202111285754.2A CN202111285754A CN114089177B CN 114089177 B CN114089177 B CN 114089177B CN 202111285754 A CN202111285754 A CN 202111285754A CN 114089177 B CN114089177 B CN 114089177B
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- 238000005516 engineering process Methods 0.000 title claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 131
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000008054 signal transmission Effects 0.000 claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims description 38
- 238000011160 research Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000009792 diffusion process Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 6
- 230000007246 mechanism Effects 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 description 3
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- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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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
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3272—Apparatus, systems or circuits therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1254—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of gas-insulated power appliances or vacuum gaps
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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
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3275—Fault detection or status indication
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- 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
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Abstract
The invention relates to a GIS equipment state evaluation method and system based on a space-time backtracking technology. The method comprises detection space modeling, state evolution time modeling, space-time backtracking of detection data and joint state evaluation based on the space-time backtracking data. The invention 1) can effectively solve the measurement errors caused by different detection points of the GIS and improve the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like. 2) The method can effectively solve the measurement error in the time dimension caused by different signal transmission mechanisms of GIS such as partial discharge, components, humidity, temperature and the like, and improves the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like. 3) The standardized GIS state data space-time backtracking method and tool can be established by a standardized GIS space structure modeling tool, a GIS state time evolution modeling tool and a standardized GIS state data space-time backtracking flow.
Description
Technical Field
The invention belongs to the field of substation operation detection, and relates to a GIS equipment state evaluation method and system based on a space-time backtracking technology.
Background
The novel power grid and extra-high voltage line construction is accelerated, and GIS electrical equipment is widely applied due to excellent insulation and arc extinguishing performance. With the technical progress, in the field of substation operation and maintenance, a series of operation and maintenance tools are developed according to different physical phenomena and observation of the original haircut, and the state of GIS equipment is evaluated from different index dimensions of partial discharge, components, humidity, temperature and the like and from different time granularity. Meanwhile, the space-time backtracking technology based on modeling is greatly developed and applied in the fields of state evolution, positioning tracking and the like, and the functional characteristics of space backtracking and time backtracking can be applied to the wider fields.
The existing transformer substation GIS state evaluation technology has the following defects: 1) GIS is the inside operation of primary equipment, and the tank-shaped high-voltage electrical equipment of internal insulating gas fills, and the associated physical signal of trouble or hidden danger generally can not direct detection, can only detect status signal at the specific position of jar body, and the reliability and the credibility of the status signal that will influence the internal space structure of GIS jar, and detection signal precision and accuracy are not good. 2) The GIS is filled with insulating gas, external metal materials, fault or hidden danger associated partial discharge signals are electromagnetic signals, the electromagnetic signals are mainly conducted along the metal wall, the time interval from the fault signals to detection points is very short, and the attenuation model is mainly determined by the space model; the accompanying signals of faults or hidden dangers such as components, humidity and temperature are mainly conducted along the gas, wherein the component signals are accompanied by chemical reactions which change along with time in the process of conducting, the humidity and temperature signals are accompanied by physical reactions which change along with time in the process of conducting, and the state signals detected at the detection points are distortion signals which are related with time and cannot truly reflect the fault or hidden dangers. 3) The current GIS equipment state research and judgment method is generally based on independent detection data of each specialty such as partial discharge, components, humidity, temperature and the like, the influence of time and space factors is basically ignored in the combined research and judgment of the detection data, and only relatively rough conclusions can be made, which deviate from the current state of a large number of running of the current GIS equipment and the requirements of refined operation and maintenance.
Disclosure of Invention
The invention aims to provide a GIS equipment state evaluation method and system based on a space-time backtracking technology, which can effectively solve measurement errors caused by different detection points of a GIS and improve the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like; the measurement error in the time dimension, which is caused by different signal transmission mechanisms of partial discharge, components, humidity, temperature and the like, of the GIS can be effectively solved, and the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like is improved; the standardized GIS state data space-time backtracking method and tool can be established by a standardized GIS space structure modeling tool, a GIS state time evolution modeling tool and a standardized GIS state data space-time backtracking flow.
In order to achieve the above purpose, the technical scheme of the invention is as follows: a GIS equipment state evaluation method based on space-time backtracking technology comprises the following steps:
(1) And (3) detecting space modeling: the detection space modeling comprises a GIS space structure modeling tool; when the GIS detection model is designed, a transport detection unit collects a space 3DMax model of equipment from a GIS manufacturer, and a GIS fault key component is marked through a GIS space structure modeling tool; the operation detection unit collects the space position data of the partial discharge detection point from the partial discharge detection unit, and marks the GIS fault partial discharge signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas component detection point from the component detection unit, and marks the GIS fault component signal detection point through the GIS space structure modeling tool; the operation detection unit collects the space position data of the gas humidity detection point from the humidity detection unit, and marks the GIS fault humidity signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas temperature detection point from the temperature detection unit, and marks the GIS fault temperature signal detection point through the GIS space structure modeling tool; according to the space labels, the GIS space structure modeling tool outputs a space matrix for detecting partial discharge, components, humidity and temperature respectively;
(2) Modeling state evolution time: the state evolution time modeling comprises a GIS state time evolution modeling tool; the operation detection unit collects a partial discharge signal conduction principle model from the partial discharge detection unit, and a GIS partial discharge signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas component conversion and diffusion model from the gas component detection unit, and a GIS gas component signal transmission time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas humidity conduction diffusion model from the gas humidity detection unit, and a GIS humidity signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas temperature conduction model from the gas temperature detection unit, and a GIS temperature signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool;
(3) Detecting data time-space backtracking: space-time backtracking of detection data carries out space-time backtracking calculation on homologous detection signals including partial discharge, components, humidity and temperature; the partial discharge detection data and the partial discharge signal transmission time evolution inverse matrix are multiplied by the partial discharge detection space inverse matrix to obtain GIS fault original partial discharge state data; multiplying the component detection data by a component signal transmission time evolution inverse matrix and a component detection space inverse matrix to obtain GIS fault original component state data; multiplying the humidity detection data by a humidity signal conduction time evolution inverse matrix and a humidity detection space inverse matrix to obtain GIS fault original humidity state data; multiplying the temperature detection data by a temperature signal conduction time evolution inverse matrix and a temperature detection space inverse matrix to obtain GIS fault original temperature state data;
(4) And (3) joint state evaluation based on space-time backtracking data: and constructing a GIS state joint research model based on indexes including partial discharge, components, humidity and temperature, applying the original state data of the GIS partial discharge, the components, the humidity and the temperature after time-space backtracking to the GIS state joint research model, and outputting a GIS state value.
The invention also provides a GIS equipment state evaluation system based on the space-time backtracking technology, which comprises a memory, a processor and computer program instructions which are stored on the memory and can be run by the processor, wherein the method steps can be realized when the processor runs the computer program instructions.
Compared with the prior art, the invention has the following beneficial effects: 1) The method can effectively solve measurement errors caused by different detection points of the GIS, and improves the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like. 2) The method can effectively solve the measurement error in the time dimension caused by different signal transmission mechanisms of GIS such as partial discharge, components, humidity, temperature and the like, and improves the signal detection effectiveness of GIS fault partial discharge, components, humidity, temperature and the like. 3) The standardized GIS state data space-time backtracking method and tool can be established by a standardized GIS space structure modeling tool, a GIS state time evolution modeling tool and a standardized GIS state data space-time backtracking flow.
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FIG. 1 is a schematic illustration of a label.
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical scheme of the invention is specifically described below with reference to the accompanying drawings.
As shown in FIG. 2, the GIS equipment state evaluation method based on the space-time backtracking technology comprises the following specific implementation steps of detecting space modeling, state evolution time modeling, space-time backtracking of detection data and joint state evaluation based on the space-time backtracking data:
(1) And detecting a space modeling link. The detection space modeling node comprises a standardized GIS space structure modeling tool. When the GIS detection model is designed, a transport detection unit collects a space 3DMax model of equipment from a GIS manufacturer, and a GIS fault key component is marked through a GIS space structure modeling tool; the operation detection unit collects the space position data of the partial discharge detection point from the partial discharge detection unit, and marks the GIS fault partial discharge signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas component detection point from the component detection unit, and marks the GIS fault component signal detection point through the GIS space structure modeling tool; the operation detection unit collects the space position data of the gas humidity detection point from the humidity detection unit, and marks the GIS fault humidity signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas temperature detection point from the temperature detection unit, and marks the GIS fault temperature signal detection point through the GIS space structure modeling tool; according to the space labels, the GIS space structure modeling tool outputs the partial discharge, the components, the humidity and the temperature detection space matrixes respectively. As shown in fig. 1.
(2) And a state evolution time modeling link. The state evolution time modeling node comprises a standardized GIS state time evolution modeling tool. The operation detection unit collects a partial discharge signal conduction principle model from the partial discharge detection unit, and a GIS partial discharge signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas component conversion and diffusion model from the gas component detection unit, and a GIS gas component signal transmission time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas humidity conduction diffusion model from the gas humidity detection unit, and a GIS humidity signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas temperature conduction model from the gas temperature detection unit, and a GIS temperature signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool.
(3) And detecting a data space-time backtracking link. And the detection data space-time backtracking node performs space-time backtracking calculation on homologous detection signals such as partial discharge, components, humidity, temperature and the like. The partial discharge detection data and the partial discharge signal transmission time evolution inverse matrix are multiplied by the partial discharge detection space inverse matrix to obtain GIS fault original partial discharge state data; multiplying the component detection data by a component signal transmission time evolution inverse matrix and a component detection space inverse matrix to obtain GIS fault original component state data; multiplying the humidity detection data by a humidity signal conduction time evolution inverse matrix and a humidity detection space inverse matrix to obtain GIS fault original humidity state data; and multiplying the temperature detection data by a temperature signal conduction time evolution inverse matrix and a temperature detection space inverse matrix to obtain GIS fault original temperature state data.
(4) And a joint state evaluation link based on space-time backtracking data. According to related standards and regulations of the power industry, a GIS state joint research and judgment model based on indexes such as partial discharge, components, humidity and temperature is constructed, and the GIS partial discharge, component, humidity and temperature original state data after time-space backtracking is applied to the GIS state joint research and judgment model to output a GIS state value.
The invention also provides a GIS equipment state evaluation system based on the space-time backtracking technology, which comprises a memory, a processor and computer program instructions which are stored on the memory and can be run by the processor, wherein the method steps can be realized when the processor runs the computer program instructions.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (2)
1. A GIS equipment state evaluation method based on a space-time backtracking technology is characterized by comprising the following steps:
(1) And (3) detecting space modeling: the detection space modeling comprises a GIS space structure modeling tool; when the GIS detection model is designed, a transport detection unit collects a space 3DMax model of equipment from a GIS manufacturer, and a GIS fault key component is marked through a GIS space structure modeling tool; the operation detection unit collects the space position data of the partial discharge detection point from the partial discharge detection unit, and marks the GIS fault partial discharge signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas component detection point from the component detection unit, and marks the GIS fault component signal detection point through the GIS space structure modeling tool; the operation detection unit collects the space position data of the gas humidity detection point from the humidity detection unit, and marks the GIS fault humidity signal detection point through a GIS space structure modeling tool; the operation detection unit collects the space position data of the gas temperature detection point from the temperature detection unit, and marks the GIS fault temperature signal detection point through the GIS space structure modeling tool; according to the space labels, the GIS space structure modeling tool outputs a space matrix for detecting partial discharge, components, humidity and temperature respectively;
(2) Modeling state evolution time: the state evolution time modeling comprises a GIS state time evolution modeling tool; the operation detection unit collects a partial discharge signal conduction principle model from the partial discharge detection unit, and a GIS partial discharge signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas component conversion and diffusion model from the gas component detection unit, and a GIS gas component signal transmission time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas humidity conduction diffusion model from the gas humidity detection unit, and a GIS humidity signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool; the operation detection unit collects a gas temperature conduction model from the gas temperature detection unit, and a GIS temperature signal conduction time evolution matrix is constructed through a GIS state time evolution modeling tool;
(3) Detecting data time-space backtracking: space-time backtracking of detection data carries out space-time backtracking calculation on homologous detection signals including partial discharge, components, humidity and temperature; the partial discharge detection data and the partial discharge signal transmission time evolution inverse matrix are multiplied by the partial discharge detection space inverse matrix to obtain GIS fault original partial discharge state data; multiplying the component detection data by a component signal transmission time evolution inverse matrix and a component detection space inverse matrix to obtain GIS fault original component state data; multiplying the humidity detection data by a humidity signal conduction time evolution inverse matrix and a humidity detection space inverse matrix to obtain GIS fault original humidity state data; multiplying the temperature detection data by a temperature signal conduction time evolution inverse matrix and a temperature detection space inverse matrix to obtain GIS fault original temperature state data;
(4) And (3) joint state evaluation based on space-time backtracking data: and constructing a GIS state joint research model based on indexes including partial discharge, components, humidity and temperature, applying the original state data of the GIS partial discharge, the components, the humidity and the temperature after time-space backtracking to the GIS state joint research model, and outputting a GIS state value.
2. A GIS device status evaluation system based on a spatio-temporal backtracking technique, comprising a memory, a processor and computer program instructions stored on the memory and executable by the processor, the processor being capable of implementing the method steps of claim 1 when the computer program instructions are executed by the processor.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831307A (en) * | 2012-05-31 | 2012-12-19 | 山东电力集团公司青岛供电公司 | Three-dimensional GIS (Geographic Information System) technology based power grid visualization system and method |
| CN104638764A (en) * | 2015-01-22 | 2015-05-20 | 国家电网公司 | Intelligent state diagnosis and overhauling system for power distribution network equipment |
| CN107145616A (en) * | 2016-11-29 | 2017-09-08 | 云南电网有限责任公司文山供电局 | A kind of GIS device 3D animation method for diagnosing faults |
| CN107831422A (en) * | 2017-11-02 | 2018-03-23 | 广东电网有限责任公司电力科学研究院 | A kind of GIS equipment partial discharge diagnostic method and system |
| CN107895068A (en) * | 2017-10-31 | 2018-04-10 | 刘长银 | GIS gas-insulated state evaluating methods based on variable weight and combination membership function |
| JP2019125187A (en) * | 2018-01-17 | 2019-07-25 | 株式会社東芝 | Method for manufacturing gas-insulated switchgear, method for installing gas-insulated switchgear, support device for installing gas-insulated switchgear, and method for supporting installation of gas-insulated switchgear |
-
2021
- 2021-11-02 CN CN202111285754.2A patent/CN114089177B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831307A (en) * | 2012-05-31 | 2012-12-19 | 山东电力集团公司青岛供电公司 | Three-dimensional GIS (Geographic Information System) technology based power grid visualization system and method |
| CN104638764A (en) * | 2015-01-22 | 2015-05-20 | 国家电网公司 | Intelligent state diagnosis and overhauling system for power distribution network equipment |
| CN107145616A (en) * | 2016-11-29 | 2017-09-08 | 云南电网有限责任公司文山供电局 | A kind of GIS device 3D animation method for diagnosing faults |
| CN107895068A (en) * | 2017-10-31 | 2018-04-10 | 刘长银 | GIS gas-insulated state evaluating methods based on variable weight and combination membership function |
| CN107831422A (en) * | 2017-11-02 | 2018-03-23 | 广东电网有限责任公司电力科学研究院 | A kind of GIS equipment partial discharge diagnostic method and system |
| JP2019125187A (en) * | 2018-01-17 | 2019-07-25 | 株式会社東芝 | Method for manufacturing gas-insulated switchgear, method for installing gas-insulated switchgear, support device for installing gas-insulated switchgear, and method for supporting installation of gas-insulated switchgear |
Non-Patent Citations (1)
| Title |
|---|
| 基于温度变化特征的GIL状态辨识系统研究;李洪涛;丁然;赵科;梁睿;乔宇娇;高鹏;;高压电器(第06期);全文 * |
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Inventor after: Shen Xielin Inventor after: Peng Weiwen Inventor after: Qian Yuanquan Inventor before: Shen Xielin Inventor before: Peng Weiwen Inventor before: Qian Yuanquan |