CN112736895A - Method and system for regulating and optimizing transformer load - Google Patents
Method and system for regulating and optimizing transformer load Download PDFInfo
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- CN112736895A CN112736895A CN202011382786.XA CN202011382786A CN112736895A CN 112736895 A CN112736895 A CN 112736895A CN 202011382786 A CN202011382786 A CN 202011382786A CN 112736895 A CN112736895 A CN 112736895A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a method and a system for regulating and optimizing transformer load, wherein the method comprises the following steps: obtaining factors influencing the load capacity of the transformer, and constructing an optimization model based on the factors influencing the load capacity; acquiring environmental parameters of a transformer, temperature rise characteristic parameters of the hot spot temperature and operation parameters; inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model; calculating a load rate safety lifting space under the current operation working condition based on the optimization model; and improving the capacity utilization rate of the transformer based on the safe lifting space. According to the embodiment of the invention, the space in which the load rate of the transformer can be safely increased under the current operation condition is calculated, the operation capacity utilization rate of the transformer is increased, and abnormal overload of part of the transformer caused by unreasonable load redistribution during power grid tidal current fluctuation is avoided.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and a system for regulating and optimizing transformer load.
Background
The transformer load capacity refers to the actual capacity which can be output by the transformer within a certain time, and is an important index for evaluating the safety margin and the operation capacity of a power grid. The planning and construction of a power grid need a certain period of time, the load rate of part of transformers possibly is in a higher level due to the rapid access of a large number of power loads, when the load of the transformers is increased, the direct-current loss of windings is increased rapidly, the balance of heat generation and heat dissipation is broken, the internal temperature of equipment is increased, and the safety and reliability of power supply of the power grid are threatened. Therefore, how to regulate and control the transformer load to meet the demand of social power consumption avoids the influence of overload operation on the equipment safety and the service life, and becomes a problem that needs to be solved by power grid operation and maintenance management personnel. At present, the load regulation and control of the transformer mainly depends on the field experience of operation and maintenance personnel, the residual load capacity of the transformer cannot be quantitatively judged, and once power flow fluctuation of a power grid occurs, abnormal overload of the transformer can be caused due to unreasonable load redistribution. Therefore, accurate and effective transformer load regulation and control measures based on the transformer characteristic parameters are yet to be further developed.
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 regulating and optimizing transformer load, which are used for calculating the space in which the load rate of a transformer can be safely improved under the current operating condition, improving the operating capacity utilization rate of the transformer and avoiding abnormal overload of part of the transformer caused by unreasonable load redistribution during power grid tidal current fluctuation.
The embodiment of the invention provides a method for regulating and optimizing transformer load, which comprises the following steps:
obtaining factors influencing the load capacity of the transformer, and constructing an optimization model based on the factors influencing the load capacity;
acquiring environmental parameters of a transformer, temperature rise characteristic parameters of the hot spot temperature and operation parameters;
inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
calculating a load rate safety lifting space under the current operation working condition based on the optimization model;
and improving the capacity utilization rate of the transformer based on the safe lifting space.
Factors of the transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
The construction of the optimization model based on the load capacity factors comprises the following steps:
the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
The construction of the transformer hot spot temperature estimation model 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;
and 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.
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.
Correspondingly, the invention also provides a system for regulating and optimizing the load of the transformer, which comprises:
the construction module is used for acquiring factors influencing the load capacity of the transformer and constructing an optimization model based on the factors influencing the load capacity;
the monitoring module is used for acquiring environmental parameters of the transformer, temperature rise characteristic parameters of the hotspot temperature and operation parameters;
the input module is used for inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
the processing module is used for calculating a load rate safety lifting space under the current operation working condition based on the optimization model; and improving the capacity utilization rate of the transformer based on the safe lifting space.
Factors of the transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
The construction of the optimization model based on the load capacity factors comprises the following steps:
the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
The construction of the transformer hot spot temperature estimation model 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;
and 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.
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.
Compared with the prior art, the method and the device are based on the transformer hot spot temperature and temperature rise characteristics and real-time monitoring of the micro meteorological parameters and the transformer operation parameters of the transformer substation, a single transformer load regulation and optimization method is provided, the space where the load rate of the transformer can be safely improved under the current operation working condition is calculated, the operation capacity utilization rate of the transformer is improved, and abnormal overload of part of the transformer caused by unreasonable load redistribution during power grid tidal current fluctuation is avoided.
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 optimizing transformer load regulation according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for regulating and optimizing transformer load 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.
The embodiment of the invention relates to a method for regulating and optimizing transformer load, which comprises the following steps: obtaining factors influencing the load capacity of the transformer, and constructing an optimization model based on the factors influencing the load capacity; acquiring environmental parameters of a transformer, temperature rise characteristic parameters of the hot spot temperature and operation parameters; inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model; calculating a load rate safety lifting space under the current operation working condition based on the optimization model; and improving the capacity utilization rate of the transformer based on the safe lifting space.
Specifically, fig. 1 shows a flowchart of a method for regulating and optimizing a transformer load in an embodiment of the present invention, which specifically includes:
s101, obtaining factors influencing the load capacity of the transformer, and constructing an optimization model based on the factors influencing the load capacity;
factors of the transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
Here, the construction of the optimization model based on the load capacity factors includes: the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
In a specific implementation process, the construction of the transformer hot spot temperature estimation model comprises the following steps:
s111, analyzing the heat transfer process of the transformer to obtain 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.
S112, 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).
S113, 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.
S114, 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.
S102, acquiring environmental parameters of a transformer, temperature rise characteristic parameters of a hot spot temperature and operation parameters;
s103, inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
s104, calculating a load rate safety lifting space under the current operation working condition based on the optimization model;
and S105, improving the capacity utilization rate of the transformer based on the safe lifting space.
In the embodiment of the invention, parameters required to be monitored are intelligently optimized aiming at the transformer load, a transformer load intelligent management terminal is manufactured in a trial mode, and a technical route, a system architecture and a development process developed by a transformer load intelligent management system are determined; meanwhile, a high-precision and rapid estimation model algorithm of the power transformer hot spot temperature and a transformer overload capacity evaluation technology are integrated in the transformer load intelligent management system in a program code mode, so that the intellectualization and the refinement of transformer load regulation are realized. And finally, developing a transformer load management terminal and a data management platform, automatically analyzing and calculating the operation capacity lifting space of the monitored transformer, evaluating the risk of the parallel operation of the transformers N-1, reasonably distributing the transmission capacity of each transformer on the premise of ensuring the safety of the transformers N-1, and searching and applying an economically-operated transformer load management strategy on the premise of ensuring the safe operation of the transformers.
Specifically, fig. 2 shows a schematic structural diagram of a system for regulating and optimizing transformer load in an embodiment of the present invention, where the system includes:
the construction module is used for acquiring factors influencing the load capacity of the transformer and constructing an optimization model based on the factors influencing the load capacity;
the monitoring module is used for acquiring environmental parameters of the transformer, temperature rise characteristic parameters of the hotspot temperature and operation parameters;
the input module is used for inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
the processing module is used for calculating a load rate safety lifting space under the current operation working condition based on the optimization model; and improving the capacity utilization rate of the transformer based on the safe lifting space.
Specifically, the factors of the transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
Specifically, the constructing of the optimization model based on the load capacity factors includes: the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
Specifically, the construction of the transformer hot spot temperature estimation model 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;
and 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.
Specifically, the constructing of the coupling relationship among the multiple heat transfer modes of each part of the transformer and the obtaining of the rule of the variation of the heat dissipation efficiency of the transformer along with the multiple parameters includes:
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.
Compared with the prior art, the method and the device are based on the transformer hot spot temperature and temperature rise characteristics and real-time monitoring of the micro meteorological parameters and the transformer operation parameters of the transformer substation, a single transformer load regulation and optimization method is provided, the space where the load rate of the transformer can be safely improved under the current operation working condition is calculated, the operation capacity utilization rate of the transformer is improved, and abnormal overload of part of the transformer caused by unreasonable load redistribution during power grid tidal current fluctuation is avoided.
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 optimizing transformer load regulation, the method comprising:
obtaining factors influencing the load capacity of the transformer, and constructing an optimization model based on the factors influencing the load capacity;
acquiring environmental parameters of a transformer, temperature rise characteristic parameters of the hot spot temperature and operation parameters;
inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
calculating a load rate safety lifting space under the current operation working condition based on the optimization model;
and improving the capacity utilization rate of the transformer based on the safe lifting space.
2. The method of transformer load regulation optimization of claim 1, wherein the factors of transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
3. The method of transformer load regulation optimization of claim 2, wherein the building an optimization model based on load capacity factors comprises:
the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
4. The method of transformer load regulation optimization of claim 3, wherein the constructing of the transformer hot spot temperature estimation model comprises:
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;
and 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.
5. The method of claim 4, wherein the constructing the coupling relationship among the plurality of heat transfer modes of each part of the transformer and obtaining the rule of the variation of the heat dissipation efficiency of the transformer with the 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.
6. A system for transformer load regulation optimization, the system comprising:
the construction module is used for acquiring factors influencing the load capacity of the transformer and constructing an optimization model based on the factors influencing the load capacity;
the monitoring module is used for acquiring environmental parameters of the transformer, temperature rise characteristic parameters of the hotspot temperature and operation parameters;
the input module is used for inputting the environmental parameters, the temperature rise characteristic parameters and the operation parameters into the optimization model;
the processing module is used for calculating a load rate safety lifting space under the current operation working condition based on the optimization model; and improving the capacity utilization rate of the transformer based on the safe lifting space.
7. The system for transformer load regulation optimization of claim 6, wherein the factors of transformer load capacity include: meteorological conditions, hot spot temperature, initial load.
8. The system for transformer load regulation optimization of claim 7, wherein the building an optimization model based on load capacity factors comprises:
the transformer hot spot temperature estimation model and the transformer overload capacity evaluation model are integrated in the transformer load intelligent management system in a program code mode and are used for realizing the intellectualization and the refinement of transformer load regulation and control.
9. The system for transformer load regulation optimization of claim 8, wherein the construction of the transformer hot spot temperature estimation model comprises:
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;
and 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.
10. The system for transformer load regulation optimization according to claim 9, wherein the 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.
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