CN112597628B - Method and system for estimating temperature rise of transformer - Google Patents
Method and system for estimating temperature rise of transformer Download PDFInfo
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Abstract
The invention discloses a method and a system for estimating temperature rise of a transformer, wherein the method comprises the following steps: analyzing the internal temperature influence factors of the transformer to obtain parameters representing the thermal characteristics and the load capacity of the transformer; building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of transformer internal temperature distribution under various load constraint conditions, and acquiring the influence of various load influence factors on the transformer internal temperature field distribution; establishing a transformer hot spot temperature rapid estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model; and predicting the key temperature inside the transformer based on the hot spot temperature model. According to the embodiment of the invention, the result of the transformer thermal circuit model is optimized, and the prediction precision of the key temperature in the transformer is further improved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and a system for estimating temperature rise of a transformer.
Background
Thermal characteristics are the most significant factors affecting equipment performance or life under normal load capacity conditions. The internal temperature of the transformer is an important parameter for representing the thermal characteristics and the load capacity of the transformer, and accurate and real-time estimation of the hot spot temperature of the winding of the transformer is a premise and a basis for effectively evaluating the thermal characteristics of the transformer and the influence of the thermal characteristics on the service life or the material performance of the transformer under an overload condition, so that early warning can be provided for the load capacity risk of the transformer. In the aspect of transformer hot spot temperature estimation, a numerical analysis method has the problems of long operation time and large calculation amount, and a hot circuit model method has the problem of low prediction precision. Therefore, it is difficult to combine the real-time performance and the accuracy of the calculation of the hot spot temperature of the transformer by only one diagnosis method.
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 estimating the temperature rise of a transformer, which are used for optimizing the result of a thermal circuit model of the transformer and further improving the prediction precision of the key temperature in the transformer.
The embodiment of the invention provides a method for estimating temperature rise of a transformer, which comprises the following steps:
analyzing the internal temperature influence factors of the transformer to obtain parameters representing the thermal characteristics and the load capacity of the transformer;
building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of transformer internal temperature distribution under various load constraint conditions, and acquiring the influence of various load influence factors on the transformer internal temperature field distribution;
establishing a transformer hot spot temperature rapid estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model;
and predicting the key temperature inside the transformer based on the hot spot temperature model.
The method for establishing the transformer hot spot temperature rapid estimation model based on the analysis result of the transformer heat transfer process comprises the following steps:
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;
constructing a coupling relation of various heat transfer modes of each part of the transformer based on the simulation parameters of the heat transfer process and the temperature rise characteristic in the transformer, and acquiring a change rule of the heat dissipation efficiency of the transformer along with multiple parameters;
and establishing a transformer hot spot temperature rapid 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 predicting of the key temperature inside the transformer based on the hot spot temperature model comprises the following steps:
and monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature quick estimation model.
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 the winding of the oil immersed transformer by adopting an analytic 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 establishment of the transformer hot spot temperature rapid 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 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 estimating the temperature rise of the transformer, which comprises the following steps:
the analysis module is used for analyzing the internal temperature influence factors of the transformer and acquiring parameters representing the thermal characteristics and the load capacity of the transformer;
the numerical analysis module is used for building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of the internal temperature distribution of the transformer under various load constraint conditions, and acquiring the influence of various load influence factors on the internal temperature field distribution of the transformer;
the estimation module is used for establishing a transformer hot spot temperature quick estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model;
and the prediction module is used for predicting the key temperature in the transformer based on the hot spot temperature model.
The estimation module constructs a heat source composition and generation mechanism based on the heat transfer process and the temperature rise characteristic simulation parameters in the transformer, and obtains 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 rapid 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 prediction module is also used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature quick estimation model.
Compared with the prior art, the method has the advantages that the requirement for accurately predicting the transformer hot spot temperature in real time is met, and the fast and accurate estimation of the transformer hot spot temperature and the temperature rise characteristic is realized by combining a numerical analysis method and a hot path model method. Firstly, a transformer temperature field simulation model is built through a numerical analysis method, the specific information of the internal temperature distribution of the transformer under various load constraint conditions is obtained, and the influence of various load influence factors on the internal temperature field distribution of the transformer is obtained. And then establishing a transformer hot spot temperature rapid estimation model according to the analysis result of the heat transfer process of the transformer, inputting the numerical analysis result of the temperature field of the transformer under the action of the multi-load influence factor condition into the hot spot temperature model, optimizing the result of the transformer hot circuit model, and further improving the prediction precision of the key temperature in 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 estimating a temperature rise of a transformer according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for estimating a temperature rise 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.
The embodiment of the invention relates to a method for estimating the temperature rise of a transformer, which comprises the following steps: analyzing internal temperature influence factors of the transformer to obtain parameters representing the thermal characteristics and the load capacity of the transformer; building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of transformer internal temperature distribution under various load constraint conditions, and acquiring the influence of various load influence factors on the transformer internal temperature field distribution; establishing a transformer hot spot temperature rapid estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model; and predicting the key temperature inside the transformer based on the hot spot temperature model.
Specifically, fig. 1 shows a flowchart of a method for estimating a temperature rise of a transformer in an embodiment of the present invention, which specifically includes:
s101, analyzing internal temperature influence factors of the transformer to obtain parameters representing the thermal characteristics and the load capacity of the transformer;
s102, building a transformer temperature field simulation model based on a numerical analysis method, obtaining specific information of transformer internal temperature distribution under various load constraint conditions, and obtaining the influence of various load influence factors on the transformer internal temperature field distribution;
s103, establishing a transformer hot spot temperature fast estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model;
the establishing of the transformer hot spot temperature fast estimation model based on the analysis result of the transformer heat transfer process comprises the following steps: 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 rapid 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.
Here, the heat source in the transformer includes: switchgear losses, cable losses, solar radiant heat, electrical equipment heating value, and the like.
The method for constructing the coupling relation of various heat transfer modes of each part of the transformer and acquiring the change rule of the heat dissipation efficiency of the transformer along with 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 the winding of the oil immersed transformer by adopting an analytic 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 to perform 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.
The establishment of the transformer hot spot temperature rapid 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.
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 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.
S104, predicting the key temperature inside the transformer based on the hot spot temperature model;
and S105, monitoring the internal temperature rise and the running state of the transformer in real time based on the transformer hot spot temperature rapid estimation model.
Specifically, the temperature rise and the running state inside the transformer are monitored in real time based on a transformer hot spot temperature rapid estimation model.
In the implementation of the invention, the advantages of a semi-physical model and a data driving model can be combined, a top layer oil temperature point prediction model based on kernel 1 extreme learning machine (KELM) error prediction compensation is established, 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.
In the implementation of the invention, the heat dissipation efficiency calculation method of the transformer based on the reverse heat resistance solving method is adopted, the heat resistance of the top oil temperature to the environment is reversely solved by utilizing the top oil temperature data monitored on line and adopting a Particle Swarm Optimization (PSO) algorithm, and the heat dissipation capacity of the transformer is evaluated according to the ratio of the actual heat resistance to the factory heat resistance and the variation trend of the actual heat resistance, so that the variation of the heat dissipation efficiency of the transformer can be found in time, and auxiliary information is provided 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 system for estimating a temperature rise of a transformer in an embodiment of the present invention, where the system includes:
the analysis module is used for analyzing the internal temperature influence factors of the transformer and acquiring parameters representing the thermal characteristics and the load capacity of the transformer;
the numerical analysis module is used for building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of the internal temperature distribution of the transformer under various load constraint conditions, and acquiring the influence of various load influence factors on the internal temperature field distribution of the transformer;
the estimation module is used for establishing a transformer hot spot temperature quick estimation model based on analysis results of the transformer heat transfer process, and inputting the transformer temperature field numerical analysis results under the action of multiple load influence factors into the hot spot temperature model;
and the prediction module is used for predicting the key temperature in the transformer based on the hot spot temperature model.
The estimation module constructs a heat source composition and generation mechanism based on the heat transfer process and the temperature rise characteristic simulation parameters in the transformer, and obtains 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 fast 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.
The prediction module is also used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature rapid estimation model.
Specifically, the prediction module establishes a top layer oil temperature point prediction model based on error prediction compensation of a kernel 1 extreme learning machine (kernel) by combining the advantages of a semi-physical model and a 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 a 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 method has the advantages that the requirement for accurately predicting the transformer hot spot temperature in real time is met, and the fast and accurate estimation of the transformer hot spot temperature and the temperature rise characteristic is realized by combining a numerical analysis method and a hot path model method. Firstly, a transformer temperature field simulation model is built through a numerical analysis method, the specific information of the internal temperature distribution of the transformer under various load constraint conditions is obtained, and the influence of various load influence factors on the internal temperature field distribution of the transformer is obtained. And then establishing a transformer hot spot temperature rapid estimation model according to the analysis result of the heat transfer process of the transformer, inputting the numerical analysis result of the temperature field of the transformer under the action of the multi-load influence factor condition into the hot spot temperature model, optimizing the result of the transformer hot circuit model, and further improving the prediction precision of the key temperature in 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 by using specific embodiments, and the description of the above 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, the specific embodiments and the application range may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (6)
1. A method of temperature rise estimation of a transformer, the method comprising:
analyzing internal temperature influence factors of the transformer to obtain parameters representing the thermal characteristics and the load capacity of the transformer;
building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of transformer internal temperature distribution under various load constraint conditions, and acquiring the influence of various load influence factors on the transformer internal temperature field distribution;
establishing a transformer hot spot temperature rapid estimation model based on analysis results of a transformer heat transfer process, and inputting numerical analysis results of a transformer temperature field under the action of multiple load influence factors into the hot spot temperature model;
predicting the key temperature in the transformer based on the hot spot temperature model;
the method for establishing the transformer hot spot temperature rapid estimation model based on the analysis result of the transformer heat transfer process comprises the following steps:
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;
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 rapid 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 transfer modes of each part of the transformer and acquiring the change rule of the heat dissipation efficiency of the transformer along with 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 the winding of the oil immersed transformer by adopting an analytic 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;
analyzing a two-dimensional temperature field of the oil-immersed transformer by a non-average heat source-based multi-physical field coupling calculation method, and performing multi-physical field coupling calculation by adopting a streamline windward format finite element method;
the establishment of the transformer hot spot temperature rapid 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.
2. The method of transformer temperature rise estimation according to claim 1, wherein the predicting transformer internal key temperatures based on the hot spot temperature model comprises:
and monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature quick estimation model.
3. The method of transformer temperature rise estimation according to claim 2, characterized in that the heat source in the transformer is constituted by: loss of switch cabinet, loss of cable, solar radiation heat and heat productivity of electrical equipment.
4. A system for temperature rise estimation of a transformer, the system comprising:
the analysis module is used for analyzing the internal temperature influence factors of the transformer and acquiring parameters representing the thermal characteristics and the load capacity of the transformer;
the numerical analysis module is used for building a transformer temperature field simulation model based on a numerical analysis method, acquiring specific information of the internal temperature distribution of the transformer under various load constraint conditions, and acquiring the influence of various load influence factors on the internal temperature field distribution of the transformer;
the estimation module is used for establishing a transformer hot spot temperature rapid estimation model based on the analysis result of the transformer heat transfer process and inputting the numerical analysis result of the transformer temperature field under the action of the multi-load influence factor condition into the hot spot temperature model;
the prediction module is used for predicting the key temperature in the transformer based on the hot spot temperature model;
the method for establishing the transformer hot spot temperature rapid estimation model based on the analysis result of the transformer heat transfer process comprises the following steps:
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 fast 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;
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;
analyzing a two-dimensional temperature field of the oil-immersed transformer by a non-average heat source-based multi-physical field coupling calculation method, and performing multi-physical field coupling calculation by adopting a streamline windward format finite element method;
the establishment of the transformer hot spot temperature rapid 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.
5. The system for estimating the temperature rise of the transformer according to claim 4, wherein the estimation module constructs a heat source forming and generating mechanism based on the heat transfer process and the temperature rise characteristic simulation parameters inside the transformer, and obtains 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 rapid 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.
6. The system for temperature rise estimation of a transformer of claim 5, further comprising: the prediction module is also used for monitoring the temperature rise and the running state in the transformer in real time based on the transformer hot spot temperature rapid estimation model.
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