CN113128086A - Method and system for quickly estimating real-time hot spot temperature of transformer - Google Patents
Method and system for quickly estimating real-time hot spot temperature of transformer Download PDFInfo
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Abstract
The invention discloses a method and a system for quickly estimating the real-time hot spot temperature of a transformer, wherein the method comprises the following steps: analyzing the heat transfer process of the transformer to obtain the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer; obtaining heat source calorific capacity influence factors and a calculation method; establishing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer, and acquiring a change rule of the heat dissipation efficiency of the transformer along with the various parameters; establishing a transformer hot spot temperature estimation model based on the heat source heat productivity influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters; and monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model. The embodiment of the invention improves the operation speed and realizes real-time monitoring of the temperature rise and the running state in the transformer.
Description
Technical Field
The application relates to the technical field of electric power, in particular to a method and a system for quickly estimating the real-time hot spot temperature of a transformer.
Background
The transformer winding hot spot temperature is an important index for evaluating the aging speed and the insulation strength of the oil paper insulation system, and although a numerical analysis method based on a fluid dynamics model can give two-dimensional information of the distribution of the temperature field in the transformer, the algorithm has high complexity and long calculation time, so that the real-time monitoring of the transformer hot spot temperature on site is not facilitated. Therefore, the transformer hot spot temperature estimation method which is high in calculation speed, good in real-time performance and suitable for practical engineering application is an important basis for evaluating the load capacity of the transformer.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and provides a method and a system for quickly estimating the real-time hot spot temperature of a transformer, so that the operation speed is increased, and the real-time monitoring of the internal temperature rise and the running state of the transformer is realized.
The embodiment of the invention provides a method for quickly estimating the real-time hot spot temperature of a transformer, which comprises the following steps:
analyzing the heat transfer process of the transformer to obtain the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
constructing a heat source composition and generation mechanism based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
establishing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer, and acquiring a change rule of the heat dissipation efficiency of the transformer along with the various parameters;
establishing a transformer hot spot temperature estimation model based on the heat source heat productivity influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
and monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model.
The acquiring of the simulation parameters of the heat transfer process and the temperature rise characteristic inside the transformer comprises the following steps:
the method comprises the steps of collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or more, and forming simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer.
The heat source in the transformer comprises: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
The method for constructing the coupling relation of various heat transmission modes of all parts of the transformer and acquiring the change rule of the heat dissipation efficiency of the transformer along with the multiple parameters comprises the following steps:
aiming at the characteristic that an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer influence each other, calculating the transient temperature rise of a winding of the oil-immersed transformer by adopting an analytical method;
solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding;
the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
The step of establishing a transformer hot spot temperature estimation model based on the heat source calorific value influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with the multiple parameters comprises the following steps:
establishing a two-dimensional axisymmetric model of the oil-immersed power transformer, and determining the velocity field distribution of the power transformer oil based on a finite volume method of a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field;
based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
Correspondingly, the embodiment of the invention also provides a system for quickly estimating the real-time hot spot temperature of the transformer, which comprises the following steps:
the analysis module is used for analyzing the heat transfer process of the transformer and acquiring simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
the construction module is used for constructing a heat source composition and generation mechanism based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
the coupling module is used for constructing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer and acquiring a change rule of the heat dissipation efficiency of the transformer along with the parameters;
the modeling module is used for establishing a transformer hot spot temperature estimation model based on the heat source calorific value influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
and the monitoring module is used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model.
The analysis module is used for collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or above, and simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer are formed.
The heat source in the transformer comprises: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
The coupling module is used for calculating the transient temperature rise of the winding of the oil-immersed transformer by adopting an analytical method aiming at the characteristic of mutual influence of an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer; solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding; the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
The construction module is used for establishing a two-dimensional axial symmetry model of the oil-immersed power transformer, and determining the velocity field distribution of the power transformer oil based on a finite volume method of a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field; based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
Compared with the prior art, the heat source calorific value calculation method is provided by analyzing the heat transfer process and the temperature rise characteristic in the transformer, analyzing the composition and the generation mechanism of the heat source, and combining the calorific value influence factors. And then analyzing the coupling relation of various heat transfer modes of each part of the transformer, clarifying the change rule of the heat dissipation efficiency of the transformer along with factors such as oil viscosity, load loss, wind speed and the like, further establishing a hot point temperature estimation model of the transformer, optimizing the algorithm of the hot point temperature estimation model, and further improving the operation speed, thereby realizing real-time monitoring of the internal temperature rise and the operation state of the transformer.
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 flowchart of a method for fast estimation of a real-time hot spot temperature of a transformer according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for rapidly estimating a real-time hot spot temperature of a transformer according to 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.
Specifically, fig. 1 shows a flowchart of a method for rapidly estimating a real-time hot spot temperature of a transformer in an embodiment of the present invention, which specifically includes:
s101, analyzing the heat transfer process of the transformer to obtain the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
the method for acquiring the simulation parameters of the heat transfer process and the temperature rise characteristic inside the transformer comprises the following steps: the method comprises the steps of collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or more, and forming simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer.
S102, constructing a heat source composition and generation mechanism based on the heat transfer process and the temperature rise characteristic simulation parameters in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
here, the heat source in the transformer includes: the method comprises the following steps of calculating the loss of a switch cabinet, the loss of a cable, solar radiation heat, the heat productivity of electrical equipment and the like: Δ Pb ═ Pbk +0.8Pbd, where: delta Pb-heat loss of the transformer (kW), no-load loss of the Pbk-transformer (kW), short-circuit loss of the Pbd-transformer (kW).
S103, constructing a coupling relation of various heat transfer modes of all parts of the transformer based on the heat transfer process and the temperature rise characteristic simulation parameters in the transformer, and acquiring a change rule of the heat dissipation efficiency of the transformer along with multiple parameters;
the method for constructing the coupling relation of various heat transfer modes of all parts of the transformer and acquiring the change rule of the heat dissipation efficiency of the transformer along with the multiple parameters comprises the following steps: aiming at the characteristic that an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer influence each other, calculating the transient temperature rise of a winding of the oil-immersed transformer by adopting an analytical method; solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding; the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
Aiming at the characteristic that an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer influence each other, the embodiment of the invention adopts an analytic method to calculate the transient temperature rise of the winding of the oil-immersed transformer, can calculate the winding hot point temperature and the layer oil temperature more accurately, and solves the temperature field of the natural oil circulation power transformer by using a finite volume method, and can calculate the temperature distribution of the winding of the transformer better; the two-dimensional temperature field of the oil-immersed transformer is analyzed and processed by the multi-physical-field coupling calculation method based on the non-average heat source, and the method is more suitable for analysis than an average heat source method; in the specific implementation process, a streamline windward format finite element method is adopted for multi-physical-field coupling calculation, the method is good in adaptability, and the result is basically consistent with the calculation result of Fluent software. Because the whole oil circuit of transformer is not even to the distribution of winding oil flow, the heat dissipation process in winding region has received the influence for the winding temperature rise produces the change. The temperature rise of the transformer winding is accurately calculated and analyzed, and the winding area temperature and the oil flow under the electromagnetic-heat-flow weak coupling can be obtained.
S104, establishing a transformer hot spot temperature estimation model based on the heat source heat productivity influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
the step of establishing a transformer hot spot temperature estimation model based on the heat source calorific value influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with the multiple parameters comprises the following steps: establishing a two-dimensional axisymmetric model of the oil-immersed power transformer, and determining the velocity field distribution of the power transformer oil based on a finite volume method of a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field; based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
And S105, monitoring the internal temperature rise and the running state of the transformer in real time based on the transformer hotspot temperature estimation model.
The top layer oil temperature point prediction model based on error prediction compensation of a kernel 1 extreme learning machine (kernel) is established by combining the advantages of the semi-physical model and the data driving model, and the accuracy of the model is higher than that of a single semi-physical model and a single data driving model. Then, a prediction model of the top-layer oil temperature interval of the transformer based on KELM and Bootstrap methods is established, the upper limit value and the lower limit value of the model prediction interval can be respectively used as a conservative estimation value and an optimistic estimation value of the top-layer oil temperature of the transformer, and the conservative estimation value is more suitable for guiding the operation of the transformer.
The method comprises the steps of utilizing top layer oil temperature data monitored on line and adopting Particle Swarm Optimization (PSO) algorithm to reversely solve the thermal resistance of the top layer oil temperature to the environment by a transformer heat dissipation efficiency calculation method based on a reverse solution thermal resistance method, and evaluating the heat dissipation capacity of the transformer according to the ratio of actual thermal resistance to factory thermal resistance and the variation trend of the actual thermal resistance so as to find the variation of the transformer heat dissipation efficiency in time and provide auxiliary information for the operation and maintenance of a heat dissipation system of the transformer.
Specifically, the optimal switching time of the standby transformer can be solved by using a PSO algorithm based on a transformer double-period control strategy, so that the thermal life loss can be reduced, and the economic operation of the transformer can be guaranteed.
Specifically, fig. 2 shows a schematic structural diagram of a system for rapidly estimating a real-time hot spot temperature of a transformer in an embodiment of the present invention, where the system includes:
the analysis module is used for analyzing the heat transfer process of the transformer and acquiring simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
the construction module is used for constructing a heat source composition and generation mechanism based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
the coupling module is used for constructing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer and acquiring a change rule of the heat dissipation efficiency of the transformer along with the parameters;
the modeling module is used for establishing a transformer hot spot temperature estimation model based on the heat source calorific value influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
and the monitoring module is used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model.
Specifically, the analysis module is used for collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or more, and forming simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer.
Specifically, the heat source in the transformer comprises: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
Specifically, the coupling module is used for calculating the transient temperature rise of the winding of the oil-immersed transformer by adopting an analytical method according to the characteristic that an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer influence each other; solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding; the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
Specifically, the construction module is used for establishing a two-dimensional axisymmetric model of the oil-immersed power transformer, and determining the velocity field distribution of the power transformer oil based on a finite volume method in a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field; based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
Specifically, the monitoring module establishes a top layer oil temperature point prediction model based on kernel 1 extreme 1earning machine (kernel) error prediction compensation by combining the advantages of the semi-physical model and the data driving model, and the precision of the model is higher than that of a single semi-physical model and a single data driving model. Then, a prediction model of the top-layer oil temperature interval of the transformer based on KELM and Bootstrap methods is established, the upper limit value and the lower limit value of the model prediction interval can be respectively used as a conservative estimation value and an optimistic estimation value of the top-layer oil temperature of the transformer, and the conservative estimation value is more suitable for guiding the operation of the transformer. The method comprises the steps of utilizing top layer oil temperature data monitored on line and adopting Particle Swarm Optimization (PSO) algorithm to reversely solve the thermal resistance of the top layer oil temperature to the environment by a transformer heat dissipation efficiency calculation method based on a reverse solution thermal resistance method, and evaluating the heat dissipation capacity of the transformer according to the ratio of actual thermal resistance to factory thermal resistance and the variation trend of the actual thermal resistance so as to find the variation of the transformer heat dissipation efficiency in time and provide auxiliary information for the operation and maintenance of a heat dissipation system of the transformer. Specifically, the optimal switching time of the standby transformer can be solved by using a PSO algorithm based on a transformer double-period control strategy, so that the thermal life loss can be reduced, and the economic operation of the transformer can be guaranteed.
Compared with the prior art, the heat source calorific value calculation method is provided by analyzing the heat transfer process and the temperature rise characteristic in the transformer, analyzing the composition and the generation mechanism of the heat source, and combining the calorific value influence factors. And then analyzing the coupling relation of various heat transfer modes of each part of the transformer, clarifying the change rule of the heat dissipation efficiency of the transformer along with factors such as oil viscosity, load loss, wind speed and the like, further establishing a hot point temperature estimation model of the transformer, optimizing the algorithm of the hot point temperature estimation model, and further improving the operation speed, thereby realizing real-time monitoring of the internal temperature rise and the operation state of the transformer.
The above embodiments of the present invention are described in detail, and the principle and the implementation manner of the present invention should be described herein by using specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; 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. A method for rapidly estimating the temperature of a real-time hot spot of a transformer is characterized by comprising the following steps:
analyzing the heat transfer process of the transformer to obtain the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
constructing a heat source composition and generation mechanism based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
establishing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer, and acquiring a change rule of the heat dissipation efficiency of the transformer along with the various parameters;
establishing a transformer hot spot temperature estimation model based on the heat source heat productivity influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
and monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model.
2. The method for fast estimation of real-time hot spot temperature of transformer according to claim 1, wherein said obtaining simulation parameters of heat transfer process and temperature rise characteristics inside transformer comprises:
the method comprises the steps of collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or more, and forming simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer.
3. The method for fast estimation of real-time hot spot temperature of transformer according to claim 2, wherein the heat source in the transformer comprises: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
4. The method according to claim 3, wherein the step of constructing a coupling relationship among a plurality of heat transfer modes of each part of the transformer and obtaining a rule of variation of the heat dissipation efficiency of the transformer with a plurality of parameters comprises:
aiming at the characteristic that an electromagnetic field, a temperature field and a fluid field of the oil-immersed transformer influence each other, calculating the transient temperature rise of a winding of the oil-immersed transformer by adopting an analytical method;
solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding;
the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
5. The method for rapidly estimating the real-time hot spot temperature of the transformer according to claim 4, wherein the step of establishing a transformer hot spot temperature estimation model based on the heat source heat productivity influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with the multiple parameters comprises the following steps:
establishing a two-dimensional axisymmetric model of the oil-immersed power transformer, and determining the velocity field distribution of the power transformer oil based on a finite volume method of a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field;
based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
6. A system for fast estimation of real-time hot spot temperature of a transformer, the system comprising:
the analysis module is used for analyzing the heat transfer process of the transformer and acquiring simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer;
the construction module is used for constructing a heat source composition and generation mechanism based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring heat source calorific value influence factors and a calculation method;
the coupling module is used for constructing a coupling relation of various heat transfer modes of all parts of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristics in the transformer and acquiring a change rule of the heat dissipation efficiency of the transformer along with the parameters;
the modeling module is used for establishing a transformer hot spot temperature estimation model based on the heat source calorific value influence factors and the calculation method and the change rule of the transformer heat dissipation efficiency along with multiple parameters;
and the monitoring module is used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature estimation model.
7. The system for rapidly estimating the temperature of the real-time hot spot of the transformer according to claim 6, wherein the analysis module is used for collecting machine accounts, temperature rise test data and load condition information of the transformer with the voltage of 110kV or more, and forming simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer.
8. The system for fast estimation of real-time hot spot temperature of transformer according to claim 7, wherein the heat source in said transformer comprises: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
9. The system for rapidly estimating the real-time hot spot temperature of the transformer according to claim 8, wherein the coupling module is configured to calculate the transient temperature rise of the winding of the oil-immersed transformer by an analytic method according to the characteristics of the mutual influence of the electromagnetic field, the temperature field, and the fluid field of the oil-immersed transformer; solving the temperature field of the natural oil circulation power transformer by using a finite volume method, and calculating the temperature distribution of a transformer winding; the method is used for analyzing a two-dimensional temperature field of the oil-immersed transformer based on a non-average heat source multi-physical field coupling calculation method, and the multi-physical field coupling calculation is carried out by adopting a streamline windward format finite element method.
10. The system for rapidly estimating the real-time hot-spot temperature of the transformer according to claim 9, wherein the structural modeling module is configured to build a two-dimensional axisymmetric model of the oil-immersed power transformer, and determine the velocity field distribution of the power transformer oil based on a finite volume method in a QUICK format according to a simulation control equation and boundary conditions of a transformer flow field; based on multi-field coupling of an electromagnetic field, a flow field and a temperature field in the power transformer, a whole field coupling method is adopted, a numerical calculation model of the temperature field of the power transformer is analyzed, and a transformer hot spot temperature estimation model is determined.
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| CN114297899A (en) * | 2021-12-30 | 2022-04-08 | 国网河南省电力公司电力科学研究院 | Method and system for predicting temperature rise of switch cabinet contact |
| CN115563897A (en) * | 2022-10-13 | 2023-01-03 | 南京电力设计研究院有限公司 | A Transformer State Evaluation Method Based on Digital Twin |
| CN116341240A (en) * | 2023-03-21 | 2023-06-27 | 正泰电气股份有限公司 | Method for determining temperature change of dry-type transformer and computer readable storage medium |
| CN116413541A (en) * | 2023-03-28 | 2023-07-11 | 国网山东省电力公司德州供电公司 | Transformer state sensing method based on digital twin and closed loop optimization |
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| CN114297899A (en) * | 2021-12-30 | 2022-04-08 | 国网河南省电力公司电力科学研究院 | Method and system for predicting temperature rise of switch cabinet contact |
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