CN113721166A - Dry-type full-sensing intelligent transformer device and management system thereof - Google Patents
Dry-type full-sensing intelligent transformer device and management system thereof Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims abstract description 78
- 238000012423 maintenance Methods 0.000 claims abstract description 16
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 16
- 238000004804 winding Methods 0.000 claims description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 239000000779 smoke Substances 0.000 claims description 6
- 238000007654 immersion Methods 0.000 claims description 5
- 239000013307 optical fiber Substances 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims description 4
- 238000001931 thermography Methods 0.000 claims description 4
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- 238000004364 calculation method Methods 0.000 abstract description 10
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- 238000012545 processing Methods 0.000 description 4
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 3
- 229910052802 copper Inorganic materials 0.000 description 3
- 239000010949 copper Substances 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 229910052742 iron Inorganic materials 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
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- 239000010754 BS 2869 Class F Substances 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
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- 230000005484 gravity Effects 0.000 description 1
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- 230000008447 perception Effects 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
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- 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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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Abstract
The invention relates to a dry-type full-sensing intelligent transformer device and a management system thereof.A transformer body is provided with a plurality of types of electric quantity sensors and environmental parameter sensors, and electric quantity calculation, electric energy quality monitoring and service life prediction of a transformer are carried out according to monitored parameters; the dry-type full-perception intelligent transformer device further comprises a management system which is formed by interconnection of information of the dry-type full-perception intelligent transformer device and the internet of things management cloud platform and the mobile operation and maintenance terminal, monitoring results of the dry-type full-perception intelligent transformer device can be uploaded, operation and maintenance control over the transformer can be achieved through the internet of things management cloud platform, real-time monitoring of key data of the transformer is achieved, the monitoring data are comprehensive, the monitoring speed is high, and the integrated and full-perception monitoring effect is achieved.
Description
Technical Field
The invention relates to the technical field of transformer online monitoring, in particular to a dry-type full-sensing intelligent transformer device and a management system thereof.
Background
The dry distribution transformer is an important element of a medium voltage distribution network, and the healthy operation of equipment directly influences the power supply reliability. In the current domestic market, due to policy guidance, the gravity of most manufacturers is placed at a set of intelligent integrated terminal (TTU), few manufacturers are used for producing and manufacturing intelligent transformers, and the intelligent transformers publicized in the market have single functions and only simply transmit data of the transformers, such as voltage, current and other parameters, so that the display purpose is realized. The intelligent terminal of the transformer has an electric quantity monitoring function, an electric energy quality monitoring function, an environment temperature and humidity monitoring function, a winding temperature monitoring function, a fan linkage control function and the like, monitoring parameters are few, early warning cannot be timely carried out on abnormal conditions of the transformer, and the intelligent terminal of the transformer has a certain analysis and diagnosis function. When the transformer is designed, a sensor and an intelligent terminal need to be researched and arranged on the transformer body according to the principles of equipment integration and primary and secondary fusion, so that the real-time monitoring of key data is realized, the integration and full perception requirements are met, and a method which is disclosed in the aspect of integration design is not available for a while.
Disclosure of Invention
Based on the above situation in the prior art, the present invention aims to provide a dry-type fully-sensing intelligent transformer device and a management system thereof, which realize real-time monitoring of key data of a transformer by arranging multiple types of electrical quantity sensors and environmental parameter sensors on a transformer body, so as to achieve an integrated and fully-sensing monitoring effect.
In order to achieve the above object, according to one aspect of the present invention, there is provided a dry-type fully-sensing intelligent transformer device, including a transformer body, a transformer intelligent terminal module, an electrical quantity monitoring module, an operating state monitoring module, an operating environment monitoring module, and a display module; wherein the content of the first and second substances,
the electric quantity monitoring module, the operation state monitoring module and the operation environment monitoring module are respectively connected with the transformer body and the transformer intelligent terminal module, and are used for monitoring the voltage current, the operation state and the operation environment parameters of the transformer body and outputting the monitored voltage current, the operation state and the operation environment parameters of the transformer body to the transformer intelligent terminal module;
the intelligent terminal module of the transformer calculates according to the received voltage and current to obtain an electrical quantity, and monitors the quality of the electric energy according to the voltage and current and the electrical quantity; monitoring the state according to the received running state and running environment parameters, giving an alarm when the state is abnormal, and performing linkage control on peripheral equipment; calculating according to the electric quantity, the operation state and the operation environment parameters to obtain related parameters of the transformer;
and the output of the intelligent terminal module of the transformer is connected with a display module and is used for outputting the received voltage and current, the operation state and the operation environment parameters, the calculated electric quantity, the calculated electric energy quality parameters and the related parameters of the transformer to the display module for displaying.
Further, the electrical quantity monitoring module includes:
the low-voltage side voltage sensor is used for acquiring a voltage signal of a low-voltage side;
and the low-voltage side current sensor acquires a current signal of the transformer through the current transformer.
Further, the operation state monitoring module includes:
the optical fiber temperature measuring sensor is used for acquiring the temperature of the transformer winding;
the partial discharge sensor is used for acquiring a partial discharge signal;
the vibration sensor is used for acquiring a vibration signal of the transformer;
the iron core grounding current sensor is used for acquiring an iron core grounding current signal of the transformer;
the thermal imaging sensor is used for acquiring a three-phase cable head temperature signal;
the video sensor is used for acquiring a transformer video signal and confirming door access abnormity, water logging or fire information;
the operating environment monitoring module includes:
the door control sensor is used for acquiring a cabinet door opening signal;
the smoke sensor is used for acquiring smoke signals;
the water immersion sensor is used for acquiring a signal whether the transformer is immersed in water or not;
and the environment temperature and humidity sensor is used for acquiring the temperature and the humidity of the environment.
Further, the electric quantity calculated according to the received voltage and current includes a power value, a power factor value, a frequency value, and a harmonic value.
Further, the electric energy quality monitoring is carried out according to the voltage, the current and the electric quantity, and comprises the steps of monitoring voltage qualification rate, overvoltage, undervoltage, phase loss, voltage loss, power factor out-of-limit, frequency deviation, three-phase unbalance and harmonic content.
Further, the relevant parameters of the transformer include a loss-of-life rate, which is calculated by:
obtaining the average value theta of the temperature of the transformer winding in a preset timeWnAnd an ambient temperature average value theta over a predetermined timen；
According to the average value theta of the temperature of the transformer windingWnAnd ambient temperature average value thetanAnd calculating the hot spot temperature theta by using the hot spot coefficient ZHS；
According to the hot spot temperature thetaHSAnd maximum hot spot temperature θWAnd (5) obtaining the service life loss rate of the transformer.
Further, the life loss rate of the transformer is calculated according to the following formula:
θHS＝Z·(θWn-θn)+θn
wherein, delta is the loss life of the transformer per hour, and the unit is hour; hot spot coefficient Z and maximum hot spot temperature thetaWIs a constant.
Furthermore, the transformer intelligent terminal module is also used for outputting a tripping signal when the temperature and the overload of the transformer winding or the temperature or the humidity of the environment exceed a preset threshold value.
According to another aspect of the invention, a management system of a dry-type full-sensing intelligent transformer device is provided, which comprises the dry-type full-sensing intelligent transformer device, an internet of things management cloud platform and a mobile operation and maintenance terminal; wherein the content of the first and second substances,
the dry-type full-sensing intelligent transformer device is connected with the Internet of things management cloud platform through a first communication network, and a monitoring result is sent to the Internet of things management cloud platform;
the mobile operation and maintenance terminal is connected with the Internet of things management cloud platform through a second communication network of the communication network, and the Internet of things management cloud platform receives a monitoring result and performs operation and maintenance operation;
the dry-type fully-sensing intelligent transformer device comprises the device according to the first aspect of the invention.
Further, the first and second communication networks comprise 4G communication networks.
In summary, the invention provides a dry-type fully-sensing intelligent transformer device and a management system thereof, wherein a transformer body is provided with a plurality of types of electric quantity sensors and environmental parameter sensors, and electric quantity calculation, electric energy quality monitoring and transformer service life prediction are carried out according to monitored parameters; the dry-type full-perception intelligent transformer device further comprises a management system which is formed by interconnection of information of the dry-type full-perception intelligent transformer device and the internet of things management cloud platform and the mobile operation and maintenance terminal, monitoring results of the dry-type full-perception intelligent transformer device can be uploaded, operation and maintenance control over the transformer can be achieved through the internet of things management cloud platform, real-time monitoring of key data of the transformer is achieved, the monitoring data are comprehensive, the monitoring speed is high, and the integrated and full-perception monitoring effect is achieved.
Drawings
FIG. 1 is a block diagram of a dry-type fully-sensing intelligent transformer apparatus according to the present invention;
FIG. 2 is a schematic diagram of a transformer intelligent terminal module;
fig. 3 is a schematic diagram of the management system of the dry-type fully-sensing intelligent transformer device according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The technical solution of the present invention will be described in detail below with reference to the accompanying drawings. According to an embodiment of the invention, a dry-type full-sensing intelligent transformer device is provided, which comprises a transformer body, a transformer intelligent terminal module, an electrical quantity monitoring module, an environmental parameter monitoring module and a display module, and the block diagram of the device is shown in fig. 1.
The electric quantity monitoring module and the environmental parameter monitoring module are respectively connected with the transformer body and the transformer intelligent terminal module, and are used for monitoring the voltage current and the environmental parameter of the transformer body and outputting the monitored voltage current and the monitored environmental parameter to the transformer intelligent terminal module. The electric quantity monitoring module comprises sensors for monitoring voltage and current parameters, such as a low-voltage side voltage sensor, a current transformer, an iron core grounding current sensor and the like, wherein the low-voltage side voltage sensor is used for acquiring a voltage signal of a low-voltage side; the current transformer obtains a current signal of the transformer through the current transformer; the iron core grounding current sensor is used for acquiring an iron core grounding current signal of the transformer. The operation state parameter monitoring module comprises an optical fiber temperature measuring sensor, a partial discharge sensor, a vibration sensor, a thermal imaging sensor and a video sensor; the operation environment monitoring module comprises: door access sensors, water immersion sensors, environmental temperature and humidity sensors and the like. The optical fiber temperature measuring sensor is used for acquiring the temperature of the transformer winding; the partial discharge sensor is used for acquiring a partial discharge signal; the vibration sensor is used for acquiring a vibration signal of the transformer; the iron core grounding current sensor is used for acquiring an iron core grounding current signal of the transformer; the thermal imaging sensor is used for acquiring a three-phase cable head temperature signal; the video sensor is used for acquiring a transformer video signal and confirming the door access abnormity or fire information; the door control sensor is used for acquiring a cabinet door opening signal; the smoke sensor is used for acquiring smoke signals; the water immersion sensor is used for acquiring a signal whether the transformer is immersed in water or not; and the environment temperature and humidity sensor is used for acquiring the temperature and the humidity of the environment.
The intelligent terminal module of the transformer calculates according to the received voltage and current to obtain an electrical quantity, and monitors the quality of the electric energy according to the voltage and current and the electrical quantity; monitoring the state according to the received running state and running environment parameters, giving an alarm when the state is abnormal, and performing linkage control on peripheral equipment; and calculating according to the electric quantity, the operation state and the operation environment parameters to obtain related parameters of the transformer. Fig. 2 is a schematic diagram of the transformer intelligent terminal module, which uses a processor as a core device and is used for implementing functions of calculation, condition monitoring, and the like; the device also comprises a voltage acquisition module and a current acquisition module, which are used for acquiring voltage and current; the opening module and the opening module are respectively used for receiving and outputting opening and opening signals, a power supply module for supplying power and a serial port module for communication. The intelligent terminal module of the transformer can obtain information such as transformer winding temperature, iron core temperature, cable head temperature, partial discharge, vibration and the like according to the received running state parameters, and alarms and carries out linkage control on the fan and the circuit breaker in an abnormal state; calculating according to the received environment parameters to obtain transformer operation environment parameters such as water immersion, fire, door access abnormality and the like, and alarming and performing linkage control on the water pump in an abnormal state; and calculating according to the electric quantity parameter, the running state parameter and the running environment parameter to obtain the load rate, the loss and the service life loss rate of the transformer. The electric quantity obtained by calculation may include a power value, a power factor value, a frequency value, and a harmonic value. The electric energy quality monitoring is carried out according to the voltage, the current and the electric quantity, and can comprise the steps of monitoring the voltage qualification rate, the overvoltage, the undervoltage, the phase loss, the voltage loss, the power factor out-of-limit, the frequency deviation, the three-phase unbalance and the harmonic content. The calculation of each electrical quantity and the monitoring of the power quality are common calculation methods and monitoring methods in the field, and are not described herein again. And calculating according to the received parameters to obtain the service life loss rate of the transformer. The life prediction of the transformer in the embodiment adopts a 6-degree rule, that is, the aging rate is doubled every time the temperature is increased by 6 degrees. The calculation is performed once every predetermined time, which may be, for example, 1 hour, and the specific calculation method is as follows:
obtaining the average value theta of the temperature of the transformer winding in a preset timeWnAnd an ambient temperature average value theta over a predetermined timen；
According to the average value theta of the temperature of the transformer windingWnAnd ambient temperature average value thetanAnd calculating the hot spot temperature theta by using the hot spot coefficient ZHS；
According to the hot spot temperature thetaHSAnd maximum hot spot temperature θWAnd (5) obtaining the service life loss rate of the transformer.
The life loss rate of the transformer is calculated according to the following formula:
wherein, delta is the loss life of the transformer per hour, and the unit is hour; maximum hot spot temperature θWAlso constant, set according to the transformer insulation rating, for example, 145 ℃ class F and 170 ℃ class H. If theta is greater than thetaHS≤θWThe lost lifetime per hour is 1 hour. ThetaHSThe calculation process of (2) is as follows:
ΔθWn,r＝θWn-θn
ΔθHS,r＝Z·ΔθWn,r
θHS＝ΔθHS,r+θn
wherein, Delta thetaWn,rIs the average temperature rise, Delta theta, of the windingHS,rFor the hot spot temperature rise, according to the above formula:
θHS＝Z·(θWn-θn)+θn
the hot spot coefficient Z is a constant, is related to a transformer material process, and can be set according to a temperature rise experiment, and if no temperature rise experiment data exists, the default is 1.25.
And the output of the intelligent terminal module of the transformer is connected with a display module and used for outputting the received voltage, current and environmental parameters, the calculated electric quantity, electric energy quality parameters and the service life loss rate of the transformer to the display module for displaying. The intelligent terminal module of the transformer is also used for outputting a tripping signal when the temperature and the overload of the transformer winding or the temperature or the humidity of the environment exceed a preset threshold value. And, can be with intelligent terminal module and fan and water pump interconnect to when above-mentioned parameter surpassed preset threshold value, report an emergency and ask for help or increased vigilance, and according to the condition of reporting an emergency and ask for help or increased vigilance linkage fan and water pump action. The intelligent terminal module of the transformer can also calculate load rate, copper consumption and iron consumption according to monitoring data. The fan is started when the temperature of any phase winding or the temperature of the iron core exceeds a preset threshold value so as to achieve the purpose of cooling the transformer; the water pump starts when monitoring that there is the water logging information, prevents that the transformer body from soaking.
(1) Calculating load factor of distribution transformer
Distribution transformation A phase load rate betaa：
βa＝(Sa*(CT1/CT2)/(Sn/3))*100％
Distribution transformation B phase load rate betab：
βb＝(Sb*(CT1/CT2)/(Sn/3))*100％
Distribution transformation C phase load rate betac：
βc＝(Sc*(CT1/CT2)/(Sn/3))*100％
Distribution load factor β:
β＝(S*(CT1/CT2)/(Sn/3))*100％
wherein beta isa、βb、βcBeta is three-phase load rate and total load rate respectively; sa、Sb、ScS is three-phase apparent power and total apparent power respectively, CT1 and CT2 are primary transformation ratio and secondary transformation ratio of current transformer, S isnIs the rated capacity of the transformer.
(2) Loss monitoring
Short-circuit loss (short-circuit impedance (%)) transformer rated capacity Sn；
Copper power consumption is equal to distribution transformation load rate beta2Short circuit loss h;
the iron power consumption is equal to no-load loss for operation hours;
the power consumption is equal to the power consumption of copper and the power consumption of iron;
wherein the short-circuit impedance and the no-load loss can be found out on the name plate of the transformer.
According to another embodiment of the invention, a management system of a dry-type fully-sensing intelligent transformer device is provided, and a schematic configuration diagram of the system is shown in fig. 3, and the system includes the dry-type fully-sensing intelligent transformer device, an internet of things management cloud platform, and a mobile operation and maintenance terminal. The dry-type full-sensing intelligent transformer device is connected with the Internet of things management cloud platform through a first communication network, and a monitoring result is sent to the Internet of things management cloud platform; the mobile operation and maintenance terminal is connected with the Internet of things management cloud platform through a second communication network of the communication network, and the Internet of things management cloud platform receives a monitoring result and performs operation and maintenance operation; the dry-type full sensing intelligent transformer device comprises the device according to the first embodiment of the invention. Wherein the first and second communication networks comprise 4G communication networks.
In the management system, the unique identity identification code of the intelligent terminal module of the transformer can be registered to the IOT management cloud platform, user and equipment information is bound to the IOT management cloud platform, asset management on the transformer is achieved, when the sensing equipment is connected to the transformer body, the transformer body automatically creates equipment account information, the online state of the equipment is monitored in real time, and the equipment account and the online state are uploaded to the IOT management cloud platform; the running state and real-time data of the transformer can be checked through a local man-machine, a cloud end and a mobile end, and operation and maintenance operations such as constant value switching and switching are carried out.
In summary, the present invention relates to a dry-type fully-sensing intelligent transformer device and a management system thereof, wherein a transformer body is provided with a plurality of types of electrical quantity sensors and environmental parameter sensors, and electrical quantity calculation, power quality monitoring and life prediction of a transformer are performed according to monitored parameters; the dry-type full-perception intelligent transformer device further comprises a management system which is formed by interconnection of information of the dry-type full-perception intelligent transformer device and the internet of things management cloud platform and the mobile operation and maintenance terminal, monitoring results of the dry-type full-perception intelligent transformer device can be uploaded, operation and maintenance control over the transformer can be achieved through the internet of things management cloud platform, real-time monitoring of key data of the transformer is achieved, the monitoring data are comprehensive, the monitoring speed is high, and the integrated and full-perception monitoring effect is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting the protection scope thereof, and although the present invention has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that after reading the present invention, they can make various changes, modifications or equivalents to the specific embodiments of the present invention, but these changes, modifications or equivalents are within the protection scope of the appended claims.
Claims (10)
1. A dry-type full-sensing intelligent transformer device is characterized by comprising a transformer body, a transformer intelligent terminal module, an electric quantity monitoring module, an operation state monitoring module, an operation environment monitoring module and a display module; wherein the content of the first and second substances,
the electric quantity monitoring module, the operation state monitoring module and the operation environment monitoring module are respectively connected with the transformer body and the transformer intelligent terminal module, and are used for monitoring the voltage current, the operation state and the operation environment parameters of the transformer body and outputting the monitored voltage current, the operation state and the operation environment parameters of the transformer body to the transformer intelligent terminal module;
the intelligent terminal module of the transformer calculates according to the received voltage and current to obtain an electrical quantity, and monitors the quality of the electric energy according to the voltage and current and the electrical quantity; monitoring the state according to the received running state and running environment parameters, giving an alarm when the state is abnormal, and performing linkage control on peripheral equipment; calculating according to the electric quantity, the operation state and the operation environment parameters to obtain related parameters of the transformer;
and the output of the intelligent terminal module of the transformer is connected with a display module and is used for outputting the received voltage and current, the operation state and the operation environment parameters, the calculated electric quantity, the electric energy quality monitoring result and the related parameters of the transformer to the display module for displaying.
2. The apparatus of claim 1, wherein the electrical quantity monitoring module comprises:
the low-voltage side voltage sensor is used for acquiring a voltage signal of a low-voltage side;
and the low-voltage side current sensor acquires a current signal of the transformer through the current transformer.
3. The apparatus of claim 2, wherein the operating condition monitoring module comprises:
the optical fiber temperature measuring sensor is used for acquiring the temperature of the transformer winding;
the partial discharge sensor is used for acquiring a partial discharge signal;
the vibration sensor is used for acquiring a vibration signal of the transformer;
the iron core grounding current sensor is used for acquiring an iron core grounding current signal of the transformer;
the thermal imaging sensor is used for acquiring a three-phase cable head temperature signal;
the video sensor is used for acquiring a transformer video signal and confirming door access abnormity, water logging or fire information;
the operating environment monitoring module includes:
the access control sensor is used for acquiring an opening signal of the transformer cabinet door;
the smoke sensor is used for acquiring smoke signals;
the water immersion sensor is used for acquiring a signal whether the transformer is immersed in water or not;
and the environment temperature and humidity sensor is used for acquiring the temperature and the humidity of the environment.
4. The apparatus of claim 3, wherein the electrical quantities calculated from the received voltage and current comprise power values, power factor values, frequency values, and harmonic values.
5. The apparatus of claim 4, wherein the monitoring of the quality of the electric energy according to the voltage, current and electric quantity comprises monitoring of voltage qualification rate, overvoltage, undervoltage, open phase, voltage loss, power factor out-of-limit, frequency deviation, three-phase unbalance and harmonic content.
6. The apparatus of claim 5, wherein the relevant parameters of the transformer comprise a loss-of-life ratio calculated by:
obtaining the average value theta of the temperature of the transformer winding in a preset timeWnAnd an ambient temperature average value theta over a predetermined timen；
According to the average value theta of the temperature of the transformer windingWnAnd ambient temperature average value thetanAnd calculating the hot spot temperature theta by using the hot spot coefficient ZHS；
According to the hot spot temperature thetaHSAnd maximum hot spot temperature θWAnd (5) obtaining the service life loss rate of the transformer.
7. The apparatus of claim 6, wherein the loss-of-life ratio of the transformer is calculated according to the following formula:
θHS＝Z·(θWn-θn)+θn
where, δ is the loss life per hour of the transformerThe bit is hour; hot spot coefficient Z and maximum hot spot temperature thetaWIs a constant.
8. The apparatus of claim 7, wherein the transformer intelligent terminal module is further configured to output a trip signal when a temperature of a transformer winding, an overload, or a temperature or humidity of an environment exceeds a preset threshold.
9. A management system of a dry-type full-sensing intelligent transformer device is characterized by comprising the dry-type full-sensing intelligent transformer device, an Internet of things management cloud platform and a mobile operation and maintenance terminal; wherein the content of the first and second substances,
the dry-type full-sensing intelligent transformer device is connected with the Internet of things management cloud platform through a first communication network, and a monitoring result is sent to the Internet of things management cloud platform;
the mobile operation and maintenance terminal is connected with the Internet of things management cloud platform through a second communication network of the communication network, and the Internet of things management cloud platform receives a monitoring result and performs operation and maintenance operation;
the dry-type fully-sensing intelligent transformer device comprises the device as claimed in any one of claims 1 to 8.
10. The system of claim 9, wherein the first and second communication networks comprise 4G communication networks.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114265321A (en) * | 2021-12-03 | 2022-04-01 | 许昌许继软件技术有限公司 | Based on intelligent station room environmental monitoring coordinated control system |
| CN117079926A (en) * | 2023-08-03 | 2023-11-17 | 广东省建工设计院有限公司 | Plug-in type Internet of things dry-type transformer and health evaluation method |
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| CN117079926A (en) * | 2023-08-03 | 2023-11-17 | 广东省建工设计院有限公司 | Plug-in type Internet of things dry-type transformer and health evaluation method |
| CN117079926B (en) * | 2023-08-03 | 2024-05-17 | 广东省建工设计院有限公司 | Plug-in type Internet of things dry-type transformer and health evaluation method |
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