CN114020075A - Intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions - Google Patents
Intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions Download PDFInfo
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- CN114020075A CN114020075A CN202111227122.0A CN202111227122A CN114020075A CN 114020075 A CN114020075 A CN 114020075A CN 202111227122 A CN202111227122 A CN 202111227122A CN 114020075 A CN114020075 A CN 114020075A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
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Abstract
The invention relates to an intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions, which comprises an intelligent analysis system, a data server and acquisition terminal equipment, wherein the output end of the acquisition terminal equipment is connected with the intelligent analysis service system through the data server; the acquisition terminal equipment is provided with a power supply interface, an optical fiber flange interface, a current acquisition port, a voltage acquisition port, an external temperature acquisition port and an internal temperature acquisition port. The invention has the advantages that: the novel power transformer and the operation and maintenance method can provide distribution data of the operating temperature of the power transformer winding, provide data support for system faults of the operating transformer, and dynamically regulate and control the capacity in real time. The method provides effective support for cost reduction and efficiency improvement of the power system and reasonable regulation and control of power grid energy transmission.
Description
Technical Field
The invention relates to an intelligent transformer system with functions of fault self-diagnosis and transmission power self-regulation and control, and relates to the field of transformers.
Background
The power transformer is one of the most important power equipment of a power system and is the core primary equipment of a power transmission and distribution link. Once a power transformer fails, the economic loss and negative social influence of the power transformer are greatly reduced. In particular, in recent years, the power transmission capacity has been increasing, the voltage class and capacity of the power transformer have been increasing, and the transparency of the operating state of the power transformer has also become important. The existing power transformer can perform real-time evaluation on the health state of the transformer through physical signal monitoring such as temperature, dissolved gas, partial discharge, ultrahigh frequency and the like. However, the insulation state of the transformer is evaluated accurately only by a detection method of dissolved gas as feedback information in the power industry field, and other methods have various limitations and are poor in accuracy. The optical fiber temperature sensor is arranged in the transformer, and the fault of the transformer is reflected by temperature monitoring, so that the method is a more accurate fault identification method. There are also a number of reports on the placement of optical fibers in transformers from retrievable papers and patents. However, most of the current methods only provide temperature data without further analysis methods, and the temperature monitoring technology of various transformers does not provide substantial help for the operation and maintenance of the power system. The invention provides a transformer operation fault self-diagnosis and transformer real-time capacity regulation and control technology based on a transformer winding holographic temperature imaging technology, and provides an intelligent technical means for cost reduction and efficiency improvement of a power system and reasonable regulation and control of transmission of power grid energy.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an intelligent transformer system with the functions of fault self-diagnosis and self-regulation and control of transmission power, and the technical scheme of the invention is as follows:
an intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions comprises an intelligent analysis system, a data server and an acquisition terminal device, wherein the output end of the acquisition terminal device is connected with the intelligent analysis service system through the data server; the intelligent analysis system comprises a transformer winding wire temperature data acquisition and storage module, a winding temperature data holographic presentation module and a transformer load capacity real-time calculation display module; the transformer winding wire temperature data acquisition and storage module is used for acquiring and storing temperature; the winding temperature data holographic presentation module is used for presenting holographic data of temperature; the transformer load capacity real-time calculation display module is used for real-time regulation and control of the transformer load capacity and real-time calculation and display of residual load margin; the acquisition terminal equipment is provided with a power supply interface, an optical fiber flange interface, a current acquisition port, a voltage acquisition port, an external temperature acquisition port and an internal temperature acquisition port, a 220V AC power supply is connected to the power supply interface, the optical fiber flange interface is connected with a built-in temperature measurement optical fiber of a transformer, a current transformer is installed at the current acquisition port, a voltage transformer is installed at the voltage acquisition port, an external surface temperature sensor is installed at the external temperature acquisition port, and an internal medium temperature sensor is installed at the internal temperature acquisition port; the built-in temperature measurement optical fiber comprises an insulation paper tape, a temperature measurement part and a winding copper wire core, wherein the insulation paper tape is coated outside the winding copper wire core, the temperature measurement part is preset in the center of the inside of the winding copper wire core and measures the temperature value of the contact surface of the winding copper wire core and the insulation paper tape, and the temperature measurement part is distributed on the winding copper wire core at equal intervals and monitors the whole length range of the transformer winding in real time.
The temperature measuring component is a point type optical fiber temperature sensor or a distributed temperature measuring optical fiber.
The winding of the transformer is of a cylindrical structure, a straight line where the geometric centers of the windings of all layers are located is taken as a Z axis, and the temperature T of the winding of the transformer can be expressed as follows by utilizing a cylindrical coordinate system: wherein t is time, theta is an angle value in a cylindrical coordinate system, z represents the longitudinal position of the winding, and the coordinate corresponding to one cake at the bottom of the transformer winding is taken as an origin; because the size of each cake of winding is fixed, the radius r in the cylindrical coordinate system is a constant value.
When current flows through the winding of the transformer, heat is generated; measuring the temperature of a transformer winding in real time through an optical fiber temperature sensor arranged in the winding, and constructing a transformer winding temperature distribution cloud chart according to spatial relation of all temperature data; according to the 6 ℃ rule of the transformer, the cloud picture area with relatively high temperature is inevitably higher in insulation risk; adopting a relative temperature change gradient parameter as a fault parameter; assuming that the temperature value of one point of the winding is T0, selecting the position temperature values of the upper left side, the upper right side and the lower left side, the lower right side, the lower left side and the lower left side as T1, T2, T3, T4, T5, T6, T7 and T8 respectively; the gradient coefficient over time Δ t is defined as:
eta = (T1-T0)/delta T + (T2-T0)/delta T + (T3-T0)/delta T + (T4-T0)/delta T + (T5-T0)/delta T + (T6-T0)/delta T + (T7-T0)/delta T + (T8-T0)/delta T; and the eta value is an initial set value, and when the real-time value is greater than the initial set value, high-temperature fault early warning is carried out.
The transformer operation load regulation and control method is obtained by operation of an analysis module based on a transformer holographic temperature field and a transformer real-time power value, and the specific implementation process is as follows:
(1) and dividing each phase winding of the transformer into three sections according to a longitudinal parameter z, wherein if the highest position of the winding corresponds to Zmax, the first section is [0, Zmax/3], the second section is [ Zmax/3,2Zmax/3], and the third section is [2Zmax/3, Zmax ].
(2) Respectively scanning holographic temperature field data of three-phase windings of the transformer in sections to obtain a temperature maximum value corresponding to each section in a winding temperature body of each phase;
(3) obtaining position parameters of each phase of winding corresponding to the maximum temperature values of the three sections through a formula, and establishing a relational database of current, voltage, temperature, angle and height of the transformer winding;
(4) and comparing the obtained temperature value with the temperature threshold value, and when the obtained temperature value is greater than or equal to the temperature threshold value, locking the voltage and current values by the system to determine the maximum load of the transformer.
(5) And calculating the residual load which can be applied by the transformer according to the temperature value measured in real time.
The invention has the advantages that: the novel power transformer and the operation and maintenance method can provide distribution data of the operating temperature of the power transformer winding, provide data support for system faults of the operating transformer, and dynamically regulate and control the capacity in real time. The method provides effective support for cost reduction and efficiency improvement of the power system and reasonable regulation and control of power grid energy transmission.
Drawings
Fig. 1 is a schematic view of the main structure of the present invention.
FIG. 2 is a cross-sectional view of the built-in temperature measuring fiber of FIG. 1.
FIG. 3 is a schematic diagram of an embodiment of a holographic image of the transformer temperature of the present invention.
Fig. 4 is a schematic structural diagram of the intelligent analysis system in fig. 1.
Detailed Description
The invention will be further described with reference to specific embodiments, and the advantages and features of the invention will become apparent as the description proceeds. These examples are illustrative only and do not limit the scope of the present invention in any way. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention, and that such changes and modifications may be made without departing from the spirit and scope of the invention.
Referring to fig. 1 to 4, the present invention relates to an intelligent transformer system with functions of fault self-diagnosis and self-regulation of transmission power, which includes an intelligent analysis system 1, a data server 2 and an acquisition terminal device 3, wherein an output end of the acquisition terminal device 3 is connected with the intelligent analysis service system 1 through the data server 2; the intelligent analysis system 1 comprises a transformer winding wire temperature data acquisition and storage module 13, a winding temperature data holographic presentation module 14 and a transformer load capacity real-time calculation and display module 15; the transformer winding wire temperature data acquisition and storage module 13 is used for acquiring and storing temperature; the winding temperature data holographic representation module 14 is used for holographic data representation of temperature; the transformer load capacity real-time calculation display module 15 is used for real-time regulation and control of the transformer load capacity and real-time calculation and display of the residual load margin; the acquisition terminal equipment 3 is provided with a power supply interface, an optical fiber flange interface, a current acquisition port, a voltage acquisition port, an external temperature acquisition port and an internal temperature acquisition port, a 220V AC power supply 4 is connected to the power supply interface, the optical fiber flange interface is connected with a built-in temperature measurement optical fiber 5 of a transformer, a current transformer 6 is installed at the current acquisition port, a voltage transformer 7 is installed at the voltage acquisition port, an external surface temperature sensor 8 is installed at the external temperature acquisition port, and an internal medium temperature sensor 9 is installed at the internal temperature acquisition port; the built-in temperature measurement optical fiber comprises an insulating paper tape 10, a temperature measurement part 11 and a winding copper wire core 12, wherein the insulating paper tape 10 is coated outside the winding copper wire core 12, the temperature measurement part 11 is preset in the center of the winding copper wire core 12 and measures the temperature value of the contact surface of the winding copper wire core and the insulating paper tape 10, and the temperature measurement part is distributed on the winding copper wire core 12 at equal intervals and monitors the full length range of the transformer winding in real time. The transformer with the structure can directly measure the temperature of the winding copper wire in the operation process, and the problem that the temperature measurement of the insulating inner layer is inaccurate due to the temperature measurement of the outer side of the insulating paper tape is avoided. Compared with the existing mode of laying the optical fiber sensor on the surface of the transformer winding, the optical fiber temperature sensor is directly arranged inside the winding copper wire core, the measured temperature value avoids the radiation interference of heat dissipation of oil flow and a heat source around a measuring area, and the temperature value of the insulating contact surface of the winding copper wire core and oil paper can be accurately measured.
The temperature measuring component 11 is a point type optical fiber temperature sensor or a distributed temperature measuring optical fiber.
The winding of the transformer is of a cylindrical structure, a straight line where the geometric centers of the windings of all layers are located is taken as a Z axis, and the temperature T of the winding of the transformer can be expressed as follows by utilizing a cylindrical coordinate system: wherein t is time, theta is an angle value in a cylindrical coordinate system, z represents the longitudinal position of the winding, and the coordinate corresponding to one cake at the bottom of the transformer winding is taken as an origin; because the size of each cake of winding is fixed, the radius r in the cylindrical coordinate system is a constant value.
When current flows through the winding of the transformer, heat is generated; measuring the temperature of the transformer winding in real time through an optical fiber temperature sensor arranged in the winding, and constructing a transformer winding temperature distribution cloud chart (shown in figure 3) according to the spatial relationship of all temperature data; according to the 6 ℃ rule of the transformer, the cloud picture area with relatively high temperature is inevitably higher in insulation risk; adopting a relative temperature change gradient parameter as a fault parameter; assuming that the temperature value of one point of the winding is T0, selecting the position temperature values of the upper left side, the upper right side and the lower left side, the lower right side, the lower left side and the lower left side as T1, T2, T3, T4, T5, T6, T7 and T8 respectively; the gradient coefficient over time Δ t is defined as: eta = (T1-T0)/delta T + (T2-T0)/delta T + (T3-T0)/delta T + (T4-T0)/delta T + (T5-T0)/delta T + (T6-T0)/delta T + (T7-T0)/delta T + (T8-T0)/delta T; the eta value is initially set to be 2, and when the real-time value is larger than the initial set value, high-temperature fault early warning is carried out.
The transformer operation load regulation and control method is obtained by operation of an analysis module based on a transformer holographic temperature field and a transformer real-time power value, and the specific implementation process is as follows:
(1) and dividing each phase winding of the transformer into three sections according to a longitudinal parameter z, wherein if the highest position of the winding corresponds to Zmax, the first section is [0, Zmax/3], the second section is [ Zmax/3,2Zmax/3], and the third section is [2Zmax/3, Zmax ].
(2) Respectively scanning holographic temperature field data of three-phase windings of the transformer in sections to obtain a temperature maximum value corresponding to each section in a winding temperature body of each phase; taking the first phase winding of the transformer as an example, three maximum temperature values T1-1, T1-2 and T1-3 can be obtained;
(3) obtaining position parameters of each phase of winding corresponding to the maximum temperature values of the three sections through a formula, and establishing a relational database of current, voltage, temperature, angle and height of the transformer winding; obtaining position parameters theta 1-1, theta 1-2, theta 1-3, Z1-1, Z1-2 and Z1-3 of each phase winding corresponding to maximum temperature values T1-1, T1-2 and T1-3 according to a formula; and establishing a relational database of transformer winding current and voltage, T1-1, T1-2, T1-3, theta 1-1, theta 1-2, theta 1-3, Z1-1, Z1-2 and Z1-3.
(4) Comparing the size relationship of T1-1, T1-2 and T1-3 with a temperature threshold (the threshold can be set), and when the T1-1, the T1-2 and the T1-3 are greater than or equal to the temperature threshold, locking the voltage and current values by the system, and determining the maximum load of the transformer.
(5) And calculating the residual load which can be applied by the transformer according to the T1-1, T1-2 and T1-3 temperature values measured in real time.
The relation between the maximum operation load and the temperature of the initial transformer can be obtained by operating the transformer with the winding provided with the temperature measuring optical fiber for one year, the load margin of the transformer can be inferred by the holographic distribution of the temperature of the winding of the transformer when the transformer operates in the future, the residual capacity value of the transformer can be accurately quantified through the load margin, and data support is provided for operation and maintenance personnel of a power system.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. An intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions is characterized by comprising an intelligent analysis system, a data server and acquisition terminal equipment, wherein the output end of the acquisition terminal equipment is connected with the intelligent analysis service system through the data server; the intelligent analysis system comprises a transformer winding wire temperature data acquisition and storage module, a winding temperature data holographic presentation module and a transformer load capacity real-time calculation display module; the transformer winding wire temperature data acquisition and storage module is used for acquiring and storing temperature; the winding temperature data holographic presentation module is used for presenting holographic data of temperature; the transformer load capacity real-time calculation display module is used for real-time regulation and control of the transformer load capacity and real-time calculation and display of residual load margin; the acquisition terminal equipment is provided with a power supply interface, an optical fiber flange interface, a current acquisition port, a voltage acquisition port, an external temperature acquisition port and an internal temperature acquisition port, a 220V AC power supply is connected to the power supply interface, the optical fiber flange interface is connected with a built-in temperature measurement optical fiber of a transformer, a current transformer is installed at the current acquisition port, a voltage transformer is installed at the voltage acquisition port, an external surface temperature sensor is installed at the external temperature acquisition port, and an internal medium temperature sensor is installed at the internal temperature acquisition port; the built-in temperature measurement optical fiber comprises an insulation paper tape, a temperature measurement part and a winding copper wire core, wherein the insulation paper tape is coated outside the winding copper wire core, the temperature measurement part is preset in the center of the inside of the winding copper wire core and measures the temperature value of the contact surface of the winding copper wire core and the insulation paper tape, and the temperature measurement part is distributed on the winding copper wire core at equal intervals and monitors the whole length range of the transformer winding in real time.
2. The intelligent transformer system with the functions of fault self-diagnosis and power transmission self-regulation and control as claimed in claim 1, wherein the temperature measurement component is a point-type optical fiber temperature sensor or a distributed temperature measurement optical fiber.
3. The intelligent transformer system with the functions of fault self-diagnosis and self-regulation and control of transmitted power according to claim 1 or 2, wherein the windings of the transformer are of a cylindrical structure, a straight line where the geometric centers of the windings of all layers are located is taken as a Z axis, and a cylindrical coordinate system is utilized to express the temperature T of the windings of the transformer as follows: wherein t is time, theta is an angle value in a cylindrical coordinate system, z represents the longitudinal position of the winding, and the coordinate corresponding to one cake at the bottom of the transformer winding is taken as an origin; because the size of each cake of winding is fixed, the radius r in the cylindrical coordinate system is a constant value.
4. An intelligent transformer system with fault self-diagnosis and self-regulation and control functions for transmitting power according to claim 3, wherein when current flows through the windings of the transformer, heat is generated; measuring the temperature of a transformer winding in real time through an optical fiber temperature sensor arranged in the winding, and constructing a transformer winding temperature distribution cloud chart according to spatial relation of all temperature data; according to the 6 ℃ rule of the transformer, the cloud picture area with relatively high temperature is inevitably higher in insulation risk; adopting a relative temperature change gradient parameter as a fault parameter; assuming that the temperature value of one point of the winding is T0, selecting the position temperature values of the upper left side, the upper right side and the lower left side, the lower right side, the lower left side and the lower left side as T1, T2, T3, T4, T5, T6, T7 and T8 respectively; the gradient coefficient over time Δ t is defined as:
eta = (T1-T0)/delta T + (T2-T0)/delta T + (T3-T0)/delta T + (T4-T0)/delta T + (T5-T0)/delta T + (T6-T0)/delta T + (T7-T0)/delta T + (T8-T0)/delta T; and the eta value is an initial set value, and when the real-time value is greater than the initial set value, high-temperature fault early warning is carried out.
5. The intelligent transformer system with the functions of fault self-diagnosis and transmission power self-regulation and control as claimed in claim 3, wherein the operation load regulation and control method of the transformer is obtained by operation of an analysis module based on a transformer holographic temperature field and a transformer real-time power value, and the specific implementation process is as follows:
(1) and dividing each phase winding of the transformer into three sections according to a longitudinal parameter z, wherein if the highest position of the winding corresponds to Zmax, the first section is [0, Zmax/3], the second section is [ Zmax/3,2Zmax/3], and the third section is [2Zmax/3, Zmax ].
(2) Respectively scanning holographic temperature field data of three-phase windings of the transformer in sections to obtain a temperature maximum value corresponding to each section in a winding temperature body of each phase;
(3) obtaining position parameters of each phase of winding corresponding to the maximum temperature values of the three sections through a formula, and establishing a relational database of current, voltage, temperature, angle and height of the transformer winding;
(4) comparing the obtained temperature value with the temperature threshold value, and when the obtained temperature value is greater than or equal to the temperature threshold value, locking the voltage and current values by the system to determine the maximum load of the transformer;
(5) and calculating the residual load which can be applied by the transformer according to the temperature value measured in real time.
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| CN202111227122.0A CN114020075A (en) | 2021-10-21 | 2021-10-21 | Intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions |
| CN202210787387.4A CN115079755A (en) | 2021-10-21 | 2022-07-04 | Intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions |
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| CN202111227122.0A CN114020075A (en) | 2021-10-21 | 2021-10-21 | Intelligent transformer system with fault self-diagnosis and transmission power self-regulation functions |
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| CN115508654A (en) * | 2022-10-26 | 2022-12-23 | 云南电网有限责任公司电力科学研究院 | Transformer capacity detection method, system, device and storage medium |
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| CN202938928U (en) * | 2012-11-22 | 2013-05-15 | 武陟县电业总公司 | On-line detection system for transformer winding temperature |
| CN105391168A (en) * | 2015-11-17 | 2016-03-09 | 国家电网公司 | Transformer load real-time control method |
| CN205691688U (en) * | 2016-06-02 | 2016-11-16 | 重庆大学 | A kind of hot-spot temperature of transformer on-Line Monitor Device |
| CN205940803U (en) * | 2016-08-12 | 2017-02-08 | 浙江江山变压器股份有限公司 | Transformer winding temperature remote monitoring device based on thing networking |
| CN107402338A (en) * | 2016-05-20 | 2017-11-28 | 国网天津市电力公司 | Cable electrical failure analysis methods based on distributed optical fiber temperature measurement |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR100476982B1 (en) * | 2003-03-17 | 2005-03-18 | 삼일변압기 주식회사 | System for fault diagnosing of transformer and method thereof |
| CN102221651B (en) * | 2011-03-11 | 2015-05-27 | 太原理工大学 | Fault on-line diagnosis and early warning method of flameproof dry-type transformer for mine |
| CN103713210A (en) * | 2013-11-01 | 2014-04-09 | 天津工业大学 | Dry power transformer monitoring and diagnosis system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202938928U (en) * | 2012-11-22 | 2013-05-15 | 武陟县电业总公司 | On-line detection system for transformer winding temperature |
| CN105391168A (en) * | 2015-11-17 | 2016-03-09 | 国家电网公司 | Transformer load real-time control method |
| CN107402338A (en) * | 2016-05-20 | 2017-11-28 | 国网天津市电力公司 | Cable electrical failure analysis methods based on distributed optical fiber temperature measurement |
| CN205691688U (en) * | 2016-06-02 | 2016-11-16 | 重庆大学 | A kind of hot-spot temperature of transformer on-Line Monitor Device |
| CN205940803U (en) * | 2016-08-12 | 2017-02-08 | 浙江江山变压器股份有限公司 | Transformer winding temperature remote monitoring device based on thing networking |
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