CN113344325A - Intelligent load management analysis method and device for transformer - Google Patents
Intelligent load management analysis method and device for transformer Download PDFInfo
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Abstract
The invention discloses a method and a device for intelligently managing and analyzing load of a transformer, wherein the method comprises the following steps: obtaining an operating load, an operating temperature and environmental parameters of a transformer based on related sensors arranged on the transformer; obtaining the hot circuit state information of the operation of the transformer; calculating by using a transformer winding hot spot temperature calculation model based on the transformer operation hot circuit state information, the transformer operation load, the transformer operation temperature and the environmental parameters to obtain hot spot temperature and line oil temperature difference indexes of the transformer; and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result. In the embodiment of the invention, the condition of the transformer can be analyzed in real time, personnel control is not needed, and the safety and reliability are improved.
Description
Technical Field
The invention relates to the technical field of power transformation management, in particular to a method and a device for intelligently managing and analyzing load of a transformer.
Background
The power transformer is the most widely used equipment in the power grid, and once the power transformer stops operating due to a fault, the safe operation of the whole power grid is threatened. Particularly, as the voltage level of a power grid is improved and the power supply demand is increased, the voltage level and the capacity of the transformer are increased, the intensity of a leakage magnetic field of the transformer is increased along with the increase of the capacity of the transformer, the eddy current loss and the stray loss generated by the transformer are increased, and finally, the problem of overheating of a winding can be caused. In the prior art, the temperature of the winding cannot be monitored in real time, and data such as the winding temperature and the like obtained by monitoring cannot be analyzed in a related manner, so that the safety problem of the transformer in the operation process is solved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides the intelligent load management and analysis method and device of the transformer, which can realize real-time analysis of the condition of the transformer, do not need personnel control and improve the safety and reliability.
In order to solve the technical problem, an embodiment of the present invention provides a method for intelligently managing and analyzing a load of a transformer, where the method includes:
obtaining an operating load, an operating temperature and environmental parameters of a transformer based on related sensors arranged on the transformer;
obtaining the hot circuit state information of the operation of the transformer;
calculating by using a transformer winding hot spot temperature calculation model based on the transformer operation hot circuit state information, the transformer operation load, the transformer operation temperature and the environmental parameters to obtain hot spot temperature and line oil temperature difference indexes of the transformer;
and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
Optionally, the obtaining of the operating load, the operating temperature, and the environmental parameter of the transformer based on the related sensors disposed on the transformer includes:
arranging temperature sensors in the upper and lower oil pipe walls of a radiator of the transformer, arranging an environmental data acquisition sensor outside the transformer and arranging an operation load acquisition sensor inside the transformer;
and acquiring data based on the set temperature sensor, the operating load acquisition sensor and the environmental data acquisition sensor to obtain the operating load, the operating temperature and the environmental parameters of the transformer.
Optionally, the environmental data acquisition sensor includes a wind speed sensor, an illumination sensor and an environmental temperature sensor;
the environmental data includes wind speed data, lighting data, and ambient temperature data.
Optionally, the obtaining the hot circuit state information of the transformer operation includes:
reading and obtaining the hot circuit state information of the operation of the transformer based on the communication between the transformer and a telemechanical system;
the hot circuit state information comprises three-phase high, medium and low voltages of the transformer, current information, oil ejection temperature values and on-load switch gear signals.
Optionally, the calculating based on the thermal circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameter by using a transformer winding hot spot temperature calculation model to obtain the hot spot temperature and the line oil temperature difference index of the transformer includes:
inputting the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters into a transformer winding hot spot temperature calculation model;
and the transformer winding hot spot temperature calculation model calculates the hot spot temperature and the line oil temperature difference by utilizing the hot circuit state information of the operation of the transformer, the operation load, the operation temperature and the environmental parameters of the transformer to obtain the hot spot temperature and the line oil temperature difference indexes of the transformer.
Optionally, after the step of calculating by using a transformer winding hot spot temperature calculation model based on the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature, and the environmental parameter, and obtaining the hot spot temperature of the transformer and the line oil temperature difference index, the method further includes:
and controlling a cooling system of the transformer to work or cut off based on the hot spot temperature and the line oil temperature difference index of the transformer.
Optionally, the analysis is performed on the hot spot temperature and the line oil temperature difference index of the transformer based on a preset transformer dynamic load intelligent model, and an analysis result is obtained, including:
and inputting the hot spot temperature and line oil temperature difference indexes of the transformer into the preset intelligent transformer dynamic load model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset intelligent transformer dynamic load model to obtain an analysis result.
Optionally, the analyzing the hot spot temperature and the line oil temperature difference index of the transformer by using the prior experience in the preset transformer dynamic load intelligent model includes:
and performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis on the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model.
Optionally, the analysis result includes a current transformer load safe operation time analysis result, an N-1 safe operation time analysis result, a 1.5 times rated load safe operation time analysis result, and a 30-minute safe load analysis result.
In addition, the embodiment of the invention also comprises an intelligent load management and analysis device of the transformer, which comprises:
a first obtaining module: the system comprises a sensor module, a control module and a control module, wherein the sensor module is used for obtaining the operating load, the operating temperature and the environmental parameters of a transformer based on relevant sensors arranged on the transformer;
a second obtaining module: the system comprises a control module, a control module and a control module, wherein the control module is used for obtaining the hot circuit state information of the operation of the transformer;
a calculation module: the transformer winding hot spot temperature calculation model is used for calculating based on the hot circuit state information of the transformer operation, the operation load, the operation temperature and the environment parameters of the transformer, and obtaining hot spot temperature and line oil temperature difference indexes of the transformer;
an analysis module: and the intelligent analysis module is used for analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
In the embodiment of the invention, the related calculation of the winding temperature can be carried out in real time according to the related data of the transformer, and the related analysis is carried out, so that the reliable operation of the transformer is ensured to the maximum extent under the condition that the transformer has N-1 or other overload, the maximum time that the transformer can operate with minimum damage is provided, and the time support is provided for the first-aid repair of equipment; and in the analysis process, personnel control is not needed, and the safety and reliability are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for analyzing intelligent load management of a transformer according to an embodiment of the present invention;
fig. 2 is a schematic structural composition diagram of an intelligent load management analysis device for a transformer in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an intelligent load management and analysis method for a transformer according to an embodiment of the present invention.
As shown in fig. 1, a method for intelligently managing and analyzing a load of a transformer includes:
s11: obtaining an operating load, an operating temperature and environmental parameters of a transformer based on related sensors arranged on the transformer;
in a specific implementation process of the present invention, the obtaining of the operating load, the operating temperature, and the environmental parameter of the transformer based on the related sensors disposed on the transformer includes: arranging temperature sensors in the upper and lower oil pipe walls of a radiator of the transformer, arranging an environmental data acquisition sensor outside the transformer and arranging an operation load acquisition sensor inside the transformer; and acquiring data based on the set temperature sensor, the operating load acquisition sensor and the environmental data acquisition sensor to obtain the operating load, the operating temperature and the environmental parameters of the transformer.
Further, the environment data acquisition sensor comprises a wind speed sensor, an illumination sensor and an environment temperature sensor; the environmental data includes wind speed data, lighting data, and ambient temperature data.
Specifically, the required sensors are arranged in or on the periphery of the transformer, for example, a stabilizing sensor is arranged in an upper oil pipe and a lower oil pipe of a radiator of the transformer, an environmental data acquisition sensor is arranged outside the transformer, and an operation load acquisition sensor is arranged inside the transformer; then respectively acquiring the operation load, the operation temperature and the environmental parameters of the transformer through a temperature sensor, an operation load acquisition sensor and an environmental data acquisition sensor; the environment data acquisition sensor comprises a wind speed sensor, an illumination sensor and an environment temperature sensor; the environmental data includes wind speed data, lighting data, and ambient temperature data.
S12: obtaining the hot circuit state information of the operation of the transformer;
in a specific implementation process of the present invention, the obtaining of the hot circuit state information of the transformer operation includes: reading and obtaining the hot circuit state information of the operation of the transformer based on the communication between the transformer and a telemechanical system; the hot circuit state information comprises three-phase high, medium and low voltages of the transformer, current information, oil ejection temperature values and on-load switch gear signals.
Specifically, the transformer is communicated with a telemechanical system, and then the hot circuit state information of the operation of the transformer in the telemechanical system is read, wherein the hot circuit state information mainly comprises three-phase high, medium and low voltage, current information, oil-jacking temperature values and on-load switch gear signals of the transformer.
S13: calculating by using a transformer winding hot spot temperature calculation model based on the transformer operation hot circuit state information, the transformer operation load, the transformer operation temperature and the environmental parameters to obtain hot spot temperature and line oil temperature difference indexes of the transformer;
in a specific implementation process of the present invention, the calculating based on the thermal circuit state information of the transformer operation, the operation load, the operation temperature and the environmental parameter of the transformer by using a transformer winding hot spot temperature calculation model to obtain the hot spot temperature and the line oil temperature difference index of the transformer includes: inputting the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters into a transformer winding hot spot temperature calculation model; and the transformer winding hot spot temperature calculation model calculates the hot spot temperature and the line oil temperature difference by utilizing the hot circuit state information of the operation of the transformer, the operation load, the operation temperature and the environmental parameters of the transformer to obtain the hot spot temperature and the line oil temperature difference indexes of the transformer.
Specifically, the transformer winding hot spot temperature calculation model is a model preset according to actual conditions, and is a model preset on a common transformer winding hot spot temperature calculation model according to factors such as the environment and the load of a transformer, hot circuit state information of transformer operation, the operation load, the operation temperature and environment parameters need to be input into the transformer winding hot spot temperature calculation model, and then hot spot temperature and line oil temperature difference calculation is carried out on the transformer winding hot spot temperature calculation model by using the hot circuit state information of transformer operation, the operation load, the operation temperature and the environment parameters, so as to obtain hot spot temperature and line oil temperature difference indexes of the transformer.
Further, after the step of calculating by using a transformer winding hot spot temperature calculation model based on the hot circuit state information of the transformer operation, the operation load, the operation temperature and the environmental parameters of the transformer, and obtaining the hot spot temperature and the line oil temperature difference index of the transformer, the method further comprises the following steps: and controlling a cooling system of the transformer to work or cut off based on the hot spot temperature and the line oil temperature difference index of the transformer.
Specifically, after the hot spot temperature and the line oil temperature difference index of the transformer are calculated and obtained through the transformer winding hot spot temperature calculation model, the cooling system of the transformer can be controlled to work according to the hot spot temperature and the line oil temperature difference index of the transformer, and cooling is provided for the transformer; or cutting off work to reduce energy consumption; when the hot spot temperature and the line oil temperature difference index of the transformer are higher than preset safety values, a cooling system of the transformer is controlled to work, so that the transformer is rapidly cooled, the temperature of a transformer winding is effectively controlled, the transformer winding is prevented from being overheated, and the running risk of the transformer is increased; when the hot spot temperature of the transformer and the line oil temperature difference index temperature are smaller than a certain value, the cooling system can be controlled to cut off if the cooling system of the transformer works at the moment, so that the service life of the cooling system can be effectively prolonged, and the loss of the cooling system is reduced.
S14: and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
In a specific implementation process of the present invention, the analyzing the hot spot temperature and line oil temperature difference index of the transformer based on the preset transformer dynamic load intelligent model to obtain an analysis result, including: and inputting the hot spot temperature and line oil temperature difference indexes of the transformer into the preset intelligent transformer dynamic load model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset intelligent transformer dynamic load model to obtain an analysis result.
Further, the analyzing the hot spot temperature and the line oil temperature difference index of the transformer by using the prior experience in the preset transformer dynamic load intelligent model includes: and performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis on the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model.
Further, the analysis results comprise a current transformer load safe operation time analysis result, an N-1 safe operation time analysis result, a 1.5 times rated load safe operation time analysis result and a 30-minute safe load analysis result.
Specifically, the preset transformer dynamic load intelligent model is generally a deep learning model or a machine learning model, relevant training is performed through relevant historical relevant data according to different transformers, and a convergent model is trained; inputting the hot spot temperature and line oil temperature difference indexes of the transformer into a preset transformer dynamic load intelligent model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model to obtain an analysis result; performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis according to hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in a preset transformer dynamic load intelligent model; the analysis results mainly comprise the current transformer load safe operation time analysis result, the N-1 safe operation time analysis result, the 1.5 times rated load safe operation time analysis result and the 30-minute safe load analysis result.
In the embodiment of the invention, the related calculation of the winding temperature can be carried out in real time according to the related data of the transformer, and the related analysis is carried out, so that the reliable operation of the transformer is ensured to the maximum extent under the condition that the transformer has N-1 or other overload, the maximum time that the transformer can operate with minimum damage is provided, and the time support is provided for the first-aid repair of equipment; and in the analysis process, personnel control is not needed, and the safety and reliability are improved.
Example two
Referring to fig. 2, fig. 2 is a schematic structural composition diagram of an intelligent load management analysis apparatus for a transformer according to an embodiment of the present invention.
As shown in fig. 2, an apparatus for intelligently managing and analyzing a load of a transformer, the apparatus comprising:
the first obtaining module 21: the system comprises a sensor module, a control module and a control module, wherein the sensor module is used for obtaining the operating load, the operating temperature and the environmental parameters of a transformer based on relevant sensors arranged on the transformer;
in a specific implementation process of the present invention, the obtaining of the operating load, the operating temperature, and the environmental parameter of the transformer based on the related sensors disposed on the transformer includes: arranging temperature sensors in the upper and lower oil pipe walls of a radiator of the transformer, arranging an environmental data acquisition sensor outside the transformer and arranging an operation load acquisition sensor inside the transformer; and acquiring data based on the set temperature sensor, the operating load acquisition sensor and the environmental data acquisition sensor to obtain the operating load, the operating temperature and the environmental parameters of the transformer.
Further, the environment data acquisition sensor comprises a wind speed sensor, an illumination sensor and an environment temperature sensor; the environmental data includes wind speed data, lighting data, and ambient temperature data.
Specifically, the required sensors are arranged in or on the periphery of the transformer, for example, a stabilizing sensor is arranged in an upper oil pipe and a lower oil pipe of a radiator of the transformer, an environmental data acquisition sensor is arranged outside the transformer, and an operation load acquisition sensor is arranged inside the transformer; then respectively acquiring the operation load, the operation temperature and the environmental parameters of the transformer through a temperature sensor, an operation load acquisition sensor and an environmental data acquisition sensor; the environment data acquisition sensor comprises a wind speed sensor, an illumination sensor and an environment temperature sensor; the environmental data includes wind speed data, lighting data, and ambient temperature data.
The second obtaining module 22: the system comprises a control module, a control module and a control module, wherein the control module is used for obtaining the hot circuit state information of the operation of the transformer;
in a specific implementation process of the present invention, the obtaining of the hot circuit state information of the transformer operation includes: reading and obtaining the hot circuit state information of the operation of the transformer based on the communication between the transformer and a telemechanical system; the hot circuit state information comprises three-phase high, medium and low voltages of the transformer, current information, oil ejection temperature values and on-load switch gear signals.
Specifically, the transformer is communicated with a telemechanical system, and then the hot circuit state information of the operation of the transformer in the telemechanical system is read, wherein the hot circuit state information mainly comprises three-phase high, medium and low voltage, current information, oil-jacking temperature values and on-load switch gear signals of the transformer.
The calculation module 23: the transformer winding hot spot temperature calculation model is used for calculating based on the hot circuit state information of the transformer operation, the operation load, the operation temperature and the environment parameters of the transformer, and obtaining hot spot temperature and line oil temperature difference indexes of the transformer;
in a specific implementation process of the present invention, the calculating based on the thermal circuit state information of the transformer operation, the operation load, the operation temperature and the environmental parameter of the transformer by using a transformer winding hot spot temperature calculation model to obtain the hot spot temperature and the line oil temperature difference index of the transformer includes: inputting the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters into a transformer winding hot spot temperature calculation model; and the transformer winding hot spot temperature calculation model calculates the hot spot temperature and the line oil temperature difference by utilizing the hot circuit state information of the operation of the transformer, the operation load, the operation temperature and the environmental parameters of the transformer to obtain the hot spot temperature and the line oil temperature difference indexes of the transformer.
Specifically, the transformer winding hot spot temperature calculation model is a model preset according to actual conditions, and is a model preset on a common transformer winding hot spot temperature calculation model according to factors such as the environment and the load of a transformer, hot circuit state information of transformer operation, the operation load, the operation temperature and environment parameters need to be input into the transformer winding hot spot temperature calculation model, and then hot spot temperature and line oil temperature difference calculation is carried out on the transformer winding hot spot temperature calculation model by using the hot circuit state information of transformer operation, the operation load, the operation temperature and the environment parameters, so as to obtain hot spot temperature and line oil temperature difference indexes of the transformer.
Further, after the step of calculating by using a transformer winding hot spot temperature calculation model based on the hot circuit state information of the transformer operation, the operation load, the operation temperature and the environmental parameters of the transformer, and obtaining the hot spot temperature and the line oil temperature difference index of the transformer, the method further comprises the following steps: and controlling a cooling system of the transformer to work or cut off based on the hot spot temperature and the line oil temperature difference index of the transformer.
Specifically, after the hot spot temperature and the line oil temperature difference index of the transformer are calculated and obtained through the transformer winding hot spot temperature calculation model, the cooling system of the transformer can be controlled to work according to the hot spot temperature and the line oil temperature difference index of the transformer, and cooling is provided for the transformer; or cutting off work to reduce energy consumption; when the hot spot temperature and the line oil temperature difference index of the transformer are higher than preset safety values, a cooling system of the transformer is controlled to work, so that the transformer is rapidly cooled, the temperature of a transformer winding is effectively controlled, the transformer winding is prevented from being overheated, and the running risk of the transformer is increased; when the hot spot temperature of the transformer and the line oil temperature difference index temperature are smaller than a certain value, the cooling system can be controlled to cut off if the cooling system of the transformer works at the moment, so that the service life of the cooling system can be effectively prolonged, and the loss of the cooling system is reduced.
The analysis module 24: and the intelligent analysis module is used for analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
In a specific implementation process of the present invention, the analyzing the hot spot temperature and line oil temperature difference index of the transformer based on the preset transformer dynamic load intelligent model to obtain an analysis result, including: and inputting the hot spot temperature and line oil temperature difference indexes of the transformer into the preset intelligent transformer dynamic load model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset intelligent transformer dynamic load model to obtain an analysis result.
Further, the analyzing the hot spot temperature and the line oil temperature difference index of the transformer by using the prior experience in the preset transformer dynamic load intelligent model includes: and performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis on the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model.
Further, the analysis results comprise a current transformer load safe operation time analysis result, an N-1 safe operation time analysis result, a 1.5 times rated load safe operation time analysis result and a 30-minute safe load analysis result.
Specifically, the preset transformer dynamic load intelligent model is generally a deep learning model or a machine learning model, relevant training is performed through relevant historical relevant data according to different transformers, and a convergent model is trained; inputting the hot spot temperature and line oil temperature difference indexes of the transformer into a preset transformer dynamic load intelligent model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model to obtain an analysis result; performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis according to hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in a preset transformer dynamic load intelligent model; the analysis results mainly comprise the current transformer load safe operation time analysis result, the N-1 safe operation time analysis result, the 1.5 times rated load safe operation time analysis result and the 30-minute safe load analysis result.
In the embodiment of the invention, the related calculation of the winding temperature can be carried out in real time according to the related data of the transformer, and the related analysis is carried out, so that the reliable operation of the transformer is ensured to the maximum extent under the condition that the transformer has N-1 or other overload, the maximum time that the transformer can operate with minimum damage is provided, and the time support is provided for the first-aid repair of equipment; and in the analysis process, personnel control is not needed, and the safety and reliability are improved.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
In addition, the above detailed description is given to the method and apparatus for intelligent load management and analysis of a transformer according to the embodiments of the present invention, and a specific example should be used herein to explain the principle and implementation manner of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An intelligent load management analysis method for a transformer is characterized by comprising the following steps:
obtaining an operating load, an operating temperature and environmental parameters of a transformer based on related sensors arranged on the transformer;
obtaining the hot circuit state information of the operation of the transformer;
calculating by using a transformer winding hot spot temperature calculation model based on the transformer operation hot circuit state information, the transformer operation load, the transformer operation temperature and the environmental parameters to obtain hot spot temperature and line oil temperature difference indexes of the transformer;
and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
2. The intelligent load management method according to claim 1, wherein the obtaining of the operating load, the operating temperature and the environmental parameters of the transformer based on the related sensors disposed on the transformer comprises:
arranging temperature sensors in the upper and lower oil pipe walls of a radiator of the transformer, arranging an environmental data acquisition sensor outside the transformer and arranging an operation load acquisition sensor inside the transformer;
and acquiring data based on the set temperature sensor, the operating load acquisition sensor and the environmental data acquisition sensor to obtain the operating load, the operating temperature and the environmental parameters of the transformer.
3. The intelligent load management method according to claim 2, wherein the environmental data collection sensor comprises a wind speed sensor, a light sensor and an environmental temperature sensor;
the environmental data includes wind speed data, lighting data, and ambient temperature data.
4. The method for intelligent load management according to claim 1, wherein the obtaining of the hot-circuit status information of the transformer operation comprises:
reading and obtaining the hot circuit state information of the operation of the transformer based on the communication between the transformer and a telemechanical system;
the hot circuit state information comprises three-phase high, medium and low voltages of the transformer, current information, oil ejection temperature values and on-load switch gear signals.
5. The intelligent load management method according to claim 1, wherein the obtaining of the hot spot temperature and line oil temperature difference index of the transformer based on the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters by using a transformer winding hot spot temperature calculation model comprises:
inputting the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters into a transformer winding hot spot temperature calculation model;
and the transformer winding hot spot temperature calculation model calculates the hot spot temperature and the line oil temperature difference by utilizing the hot circuit state information of the operation of the transformer, the operation load, the operation temperature and the environmental parameters of the transformer to obtain the hot spot temperature and the line oil temperature difference indexes of the transformer.
6. The intelligent load management method according to claim 1, wherein after the step of obtaining the hot spot temperature and line-oil temperature difference index of the transformer based on the hot circuit state information of the transformer operation, the operation load of the transformer, the operation temperature and the environmental parameters by using a transformer winding hot spot temperature calculation model, the method further comprises:
and controlling a cooling system of the transformer to work or cut off based on the hot spot temperature and the line oil temperature difference index of the transformer.
7. The intelligent load management method according to claim 1, wherein the analyzing hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result comprises:
and inputting the hot spot temperature and line oil temperature difference indexes of the transformer into the preset intelligent transformer dynamic load model, and analyzing the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset intelligent transformer dynamic load model to obtain an analysis result.
8. The intelligent load management method according to claim 7, wherein the analyzing the hot-spot temperature and line-oil temperature difference indicators of the transformer by using a priori experience in the preset intelligent transformer dynamic load model comprises:
and performing current transformer load safe operation time analysis, N-1 safe operation time analysis, 1.5 times rated load safe operation time analysis and 30-minute safe load analysis on the hot spot temperature and line oil temperature difference indexes of the transformer by using prior experience in the preset transformer dynamic load intelligent model.
9. The intelligent load management method according to claim 7, wherein the analysis results include a current transformer load safe operation time analysis result, an N-1 safe operation time analysis result, a 1.5 times rated load safe operation time analysis result, and a 30-minute safe load analysis result.
10. An intelligent management and analysis device for load of a transformer, which is characterized by comprising:
a first obtaining module: the system comprises a sensor module, a control module and a control module, wherein the sensor module is used for obtaining the operating load, the operating temperature and the environmental parameters of a transformer based on relevant sensors arranged on the transformer;
a second obtaining module: the system comprises a control module, a control module and a control module, wherein the control module is used for obtaining the hot circuit state information of the operation of the transformer;
a calculation module: the transformer winding hot spot temperature calculation model is used for calculating based on the hot circuit state information of the transformer operation, the operation load, the operation temperature and the environment parameters of the transformer, and obtaining hot spot temperature and line oil temperature difference indexes of the transformer;
an analysis module: and the intelligent analysis module is used for analyzing the hot spot temperature and line oil temperature difference indexes of the transformer based on a preset transformer dynamic load intelligent model to obtain an analysis result.
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