CN113360960B - Converter variable digital twinning model construction method considering space charge - Google Patents

Converter variable digital twinning model construction method considering space charge Download PDF

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CN113360960B
CN113360960B CN202110795005.8A CN202110795005A CN113360960B CN 113360960 B CN113360960 B CN 113360960B CN 202110795005 A CN202110795005 A CN 202110795005A CN 113360960 B CN113360960 B CN 113360960B
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杨帆
高三策
吴涛
郝翰学
张相杰
张玉琛
池骋
杨子康
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Abstract

The invention requests to protect a converter variable digital twin model construction method considering space charge. Firstly, determining the distribution position of a sensing device according to the operation condition of a transformer, and correcting a sensing system by a gradual elimination method to obtain a converter transformer sensing network; a converter transformer geometric dimension model is constructed by adopting a BIM technology, and a converter transformer panoramic model is obtained by utilizing an oblique photogrammetry technology; and mapping the sensing data to the conversion flow model. Schottky injection is used as the only source of free particles, and an electric-thermal-force multi-field coupling calculation model under microscopic particles is obtained based on the derivation of space charges. Finally, separating information contained in the BIM based on the API, storing the geometric information into a JSON file model area, and storing the material and attribute information into a JSON file information area; setting a unified identifier associated with a real scene model and a multi-physical field model, and realizing the fusion of the two models by calling key information mutually to finally obtain a complete conversion current transformer twin model.

Description

Converter variable digital twinning model construction method considering space charge
Technical Field
The invention belongs to a digital twin modeling method for power equipment, and particularly relates to the field of modeling of internal and external real scenes and multiple physical fields of a converter transformer.
Background
The power industry is the economic development life pulse of China, and in recent years, china vigorously develops extra-high voltage direct current transmission engineering, and converter transformers play an important role here. The working principle of the ring current transformer is complex, multiple physical fields inside the equipment are complex, great influence can be generated among the multiple physical fields, and the voltage level of the current converting transformer is high, the size is large, so that the overhauling, operation and maintenance work of the current converting transformer is lack of comprehensiveness and timeliness. The application of the digital twinning in the power industry production mainly has the following two aspects: one is power equipment management. The risk of equipment running is reduced, and the running reliability of the equipment is improved; and secondly, electric power system scheduling. The digital twin real-time data is utilized to achieve the purposes of reducing the resource transfer cost and improving the energy use efficiency.
The digital twin is a technology for connecting a physical entity and a digital model through a platform and simulating the full life cycle of the physical entity by means of history, real-time data, algorithms and the like, and has the characteristics of being bidirectional, continuous, open and interconnected. The method can integrate various physical information inside and outside the equipment, establish comprehensive mapping to the physical entity world in the digital virtual world, quickly reflect the current running condition of the physical entity in real time, analyze and correct the digital model in real time according to the recorded sensor data and historical data, and achieve the whole life cycle management of the physical entity. The digital twinning technology of the converter transformer establishes a one-to-one digital twinning body for the converter transformer by using the ultra-strong timeliness of the digital twinning and the health management and predictive maintenance functions of equipment, and fully ensures the safety of the converter transformer working under high voltage due to the characteristics of quick response and real-time analysis.
However, in the power industry, the digital twinning technology is still in the primary stage, and the main problems are that: the multidimensional high-fidelity twin model of the electric power equipment is lacked, the complete digital twin model needs various factors including various physical fields and operating environments inside the equipment, and the realization difficulty of the model is far greater than that of a physical model in the traditional simulation.
Disclosure of Invention
The present invention is directed to solving the above problems of the prior art. A method for constructing a converter variable digital twin model considering space charge is provided. The technical scheme of the invention is as follows:
a method for constructing a converter variable digital twin model considering space charge comprises the following steps:
firstly, determining the distribution position of a sensing device according to the operation condition of a transformer, and correcting a sensing system by a gradual elimination method to obtain a converter transformer sensing network; constructing a converter transformer geometric dimension Model by adopting a BIM (Building Information Model) technology, and obtaining a converter transformer panoramic Model by utilizing an oblique photogrammetry technology; mapping the sensing data to the conversion flow model;
adopting Schottky injection as the only source of free particles, and obtaining an electric-thermal-force multi-field coupling calculation model under microscopic particles based on the derivation of space charges;
finally, separating out information contained in the BIM based on the API, storing the geometric information into a JSON file model area, and storing the material and attribute information into a JSON file information area; setting a unified identifier associated with a real scene model and a multi-physical field model, and realizing the fusion of the two models by calling key information mutually to finally obtain a complete conversion current transformer twin model.
Furthermore, the distribution position of the sensing devices is determined according to the operation condition of the transformer, and the initial arrangement position of the sensing devices is determined by an effective independent method.
Further, the sensing system is corrected through a gradual elimination method, and one or more positions which have the least or less contribution to the objective function are removed from the rest of all the selectable positions of the sensor each time until only the required number of the selectable positions or the maximum off-diagonal element reaches a preset value, so that the converter transformer sensing network is finally obtained;
further, the constructing of the converter transformer geometric dimension model by using the BIM technology specifically includes:
1) Selecting a proper station position from different positions and angles according to the field condition, and performing multiple scanning to integrally cover the working surface;
2) After target paper is pasted on the periphery of the wall, a three-dimensional laser scanner is erected to scan each part of the structure in sequence;
3) Performing operations such as point cloud station splicing, point cloud data extraction, coordinate system conversion, point cloud denoising and classification, point cloud output and format conversion and the like in software;
4) And importing the files in the format of rcp or rcs into software, and extracting coordinates of key points to obtain the actually scanned and corrected structure BIM model.
Further, the obtaining of the real-scene data of the converter transformer by using the oblique photogrammetry technology specifically includes: the method comprises the steps of completing matching of live-action data and a geometric twin model based on coordinate conversion and achieving space-time consistency, mapping a converter variable digital twin model with monitoring data to obtain a converter variable digital twin model fusing geometry and live action, wherein the oblique photogrammetry technology is to acquire abundant transformer top surface and side-looking high-resolution textures by synchronously acquiring images from a vertical view angle, four oblique views and five different view angles.
Further, the obtaining of the electric-thermal-force multi-field coupling calculation model under the microscopic particles by using schottky injection as the only source of the free particles and based on the derivation of space charges specifically comprises:
considering space charge influence on the traditional coupling mode, and adopting Schottky injection as the only source of free particles; further deducing the distribution of space charge based on electromagnetic methods such as Poisson equation, current continuity theorem, conservation equation and the like, and then establishing a space charge moving path under temperature-field intensity-flow velocity to obtain an electric-heat-force multi-field coupling calculation model under the consideration of microscopic particles.
And (3) converting the Poisson equation (1-1) and the known boundary voltage condition into an equivalent variational form (1-2), and converting into a matrix form (1-3) when the Poisson equation and the known boundary voltage condition are applied to a calculation model. The solution of equation (1-1) with boundary conditions is known from the variation principle of the poisson equation as a function of the minimum value of equation (1-3). Obtaining a final expression balance equation (1-4) for calculating the potential of each point in the model;
Figure BDA0003162359640000031
Figure BDA0003162359640000032
Figure BDA0003162359640000033
wherein the content of the first and second substances,
Figure BDA0003162359640000034
for each point potential value of space charge, [ K ]]Is a total coefficient matrix (i.e., a total stiffness matrix), [ f []Is the result of the global synthesis of the local matrices.
[K][Φ]=[f] (1-4)
Further, after obtaining the electric-thermal-force multi-field coupling calculation model, the method further comprises the following steps: simplifying a single converter transformer component, and assembling the partition component to the converter transformer integral digital twin model by utilizing a multi-dimensional data transmission technology and different grid scale heterogeneous mappings.
Further, the separating information contained in the BIM model based on the API, storing the geometric information in the JSON file model region, and storing the material and attribute information in the JSON file information region specifically includes:
geometric information, material information and attribute information of the BIM model are separated based on an API (Application Programming Interface), the geometric information is converted into an OBJ format file and stored in a model area of the JSON file, the material information and the attribute information are stored in an information area of the JSON file, and separation and calling of the model information are achieved.
Further, the setting of the unified identifier associates the real-world model and the multi-physical-field model, and realizes fusion of the two models by calling key information each other, so as to finally obtain a complete conversion transformer twin model, which specifically includes:
setting three kinds of information related to the unified identifier, extracting geometric information of a JSON file model area through API by utilizing the objLoader, calling for three-dimensional live-action modeling, and constructing a twin model of geometric and live-action dimensions; extracting geometric information, materials and attribute information of the JSON file through an API (application programming interface) to form a twin model with multiple physical dimensions; and finally, associating data of the two twin models based on the uniform identifier to realize fusion of the two models to obtain the final twin model.
The invention has the following advantages and beneficial effects:
(1) A conversion variable digital twin model implementation method and a data mapping method which are integrated with geometric real scene dimensions and multiple physical field dimensions are provided, and a conversion variable digital twin model which is oriented to conversion flow design and operation and maintenance requirements and can be digitally delivered is realized.
(2) A multi-physical-field dimension twin model construction method for support state data twin and a multi-dimension data transmission method and different grid scale heterogeneous mapping method are provided, and the configuration modeling of the converter transformer component-integral twin model is achieved.
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Fig. 1 is a flow chart of a method for constructing a twin model of a converter variable number taking space charge into account according to a preferred embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described in detail and clearly with reference to the accompanying drawings. The described embodiments are only some of the embodiments of the present invention.
The technical scheme for solving the technical problems is as follows:
as shown in fig. 1, a method for constructing a converter variable digital twin model considering space charge includes the steps of:
1) Determining the distribution position of the sensing device according to the operation condition of the transformer, and correcting a sensing system by a gradual elimination method to obtain a converter transformer sensing network; a converter transformer geometric dimension model is constructed by adopting a BIM technology, and a converter transformer panoramic model is obtained by utilizing an oblique photogrammetry technology; further mapping the conversion flow change model by the sensing data;
2) Considering that the converter transformer has strong coupling characteristics, adopting Schottky injection as the only source of free particles under the condition of considering space charge, and obtaining an electric-thermal-force multi-field coupling calculation model under microscopic particles based on the derivation of the space charge;
3) Separating information contained in the BIM based on API, storing geometric information into a JSON file model region, and storing material and attribute information into a JSON file information region; setting a unified identifier associated with a real scene model and a multi-physical field model, and realizing the fusion of the two models by calling key information mutually to finally obtain a complete conversion current transformer twin model.
Preferably, the initial arrangement position of the sensing device is determined by an effective independent method, and then a multi-field sensing network system is corrected by a gradual elimination method to obtain a scheme of the converter transformer sensing network; constructing a geometric dimension twin model of a converter transformer (comprising a body, a sleeve, a wire outlet device and a radiator) based on a BIM technology;
preferably, real scene data of the converter transformer is obtained by utilizing an oblique photogrammetry technology, the matching of the real scene data and a geometric twin model is completed based on the space-time consistency of coordinate conversion, and the converter transformer model is further mapped by monitoring data to obtain a converter transformer digital twin model fusing geometry and real scene;
preferably, the converter transformer has strong coupling characteristics, space charge influence is considered in the conventional coupling mode, and Schottky injection is used as the only source of free particles. Further deducing the distribution of space charge based on an electromagnetic method such as a Poisson equation, a current continuity theorem, a conservation equation and the like, namely establishing a space charge moving path under temperature-field intensity-flow velocity to obtain an electric-heat-force multi-field coupling calculation model under the consideration of microscopic particles;
preferably, simplifying a single converter transformer component, and assembling the partition component to the converter transformer integral digital twin model by utilizing a multi-dimensional data transmission technology and different grid scale heterogeneous mappings;
preferably, geometric information, material information and attribute information of the BIM model are separated based on the API, the geometric information is converted into an OBJ format file and stored into a model area of the JSON file, and the material information and the attribute information are stored into an information area of the JSON file, so that the separation and calling of the model information can be realized;
preferably, the unified identifier is set to be associated with three kinds of information, and the objLoader is used for extracting geometric information of the JSON file model area through an API (application program interface) for calling three-dimensional live-action modeling to construct a twin model of geometric and live-action dimensions. And extracting geometric information, material and attribute information of the JSON file through an API (application programming interface) to form a twin model with multiple physical dimensions. And finally, associating data of the two twin models based on the uniform identifier to realize fusion of the two models to obtain the final twin model.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.
The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.

Claims (8)

1. A method for constructing a converter variable digital twin model considering space charge is characterized by comprising the following steps of:
firstly, determining the distribution position of a sensing device according to the operation condition of a transformer, and correcting a sensing system by a gradual elimination method to obtain a converter transformer sensing network; constructing a converter transformer geometric dimension model by adopting a BIM building information model technology, and obtaining a converter transformer panoramic model by utilizing an oblique photogrammetry technology; mapping the sensing data to the conversion flow model;
adopting Schottky injection as the only source of free particles, and obtaining an electric-thermal-force multi-field coupling calculation model under microscopic particles based on the derivation of space charges;
finally, separating information contained in the BIM based on the API, storing the geometric information into a JSON file model area, and storing the material and attribute information into a JSON file information area; setting a unified identifier associated live-action model and a multi-physical-field model, and realizing the fusion of the two models by calling key information mutually to finally obtain a complete conversion current transformer twin model;
the setting of the unified identifier is associated with the real-world model and the multi-physical-field model, the fusion of the two models is realized by mutually calling key information, and finally, a complete conversion current transformer twin model is obtained, which specifically comprises the following steps:
setting three kinds of information related to the unified identifier, extracting geometric information of a JSON file model area through API (application program interface) by utilizing the objLoader, calling for three-dimensional live-action modeling, and constructing a twin model of geometric and live-action dimensions; extracting geometric information, materials and attribute information of the JSON file through an API (application programming interface) to form a twin model with multiple physical dimensions; and finally, associating data of the two twin models based on the uniform identifier to realize fusion of the two models to obtain a final twin model.
2. The method for constructing the converter variable digital twin model considering the space charge according to claim 1, wherein the determining of the distribution positions of the sensing devices according to the operation conditions of the transformer is performed by determining the initial arrangement positions of the sensing devices through an effective independent method.
3. The method as claimed in claim 2, wherein the step-by-step elimination method is used to modify the sensing architecture, and the sensing architecture is removed from the rest of all the selectable positions of the sensor, so as to remove one or more positions that contribute least or less to the objective function, until only the required number of selectable positions or the maximum off-diagonal element reaches the preset value, thereby obtaining the converter transformer sensing network.
4. The method for constructing the converter transformer digital twin model based on the space charge calculation of claim 3, wherein the constructing of the converter transformer geometric dimension model by using the BIM building information model technology specifically includes:
1) Selecting a proper station position from different positions and angles according to the field condition, and performing multiple scanning to integrally cover the working surface;
2) After target paper is pasted on the periphery of the wall, a three-dimensional laser scanner is erected to scan each part of the structure in sequence;
3) Carrying out point cloud station splicing, point cloud data extraction, coordinate system conversion, point cloud denoising and classification, point cloud output and format conversion operation in software;
4) And importing the files in the format of rcp or rcs into software, and extracting coordinates of key points to obtain the actually scanned and corrected structure BIM model.
5. The method for constructing a converter variable digital twin model considering space charge according to claim 4, wherein the obtaining of converter variable live-action data by oblique photogrammetry specifically comprises: the method comprises the steps of completing matching of live-action data and a geometric dimension model based on coordinate conversion and achieving space-time consistency, mapping a converter variable digital twin model of monitoring data to obtain a converter variable digital twin model fusing geometry and live action, wherein the oblique photogrammetry technology is to acquire abundant transformer top surface and side-looking high-resolution textures by synchronously acquiring images from a vertical view angle, four oblique views and five different view angles.
6. The method for constructing the converter variable digital twin model considering space charge according to claim 5, wherein the obtaining of the micro-particle electric-thermal-force multi-field coupling calculation model based on the derivation of space charge by using Schottky injection as the only source of free particles specifically comprises:
considering space charge influence on the traditional coupling mode, and adopting Schottky injection as the only source of free particles; further deducing the distribution of space charge based on a Poisson equation, a current continuity theorem and a conservation equation, namely establishing a space charge moving path under temperature-field intensity-flow velocity to obtain an electric-thermal-force multi-field coupling calculation model under the consideration of microscopic particles;
converting Poisson equation (1-1) and known boundary voltage conditions into equivalent variational forms (1-2), and converting into matrix forms (1-3) when applied to a calculation model; the solution of the equation (1-1) containing the boundary condition is a function of the minimum value of the equation (1-3) according to the variation principle of the Poisson equation; obtaining a final expression balance equation (1-4) for calculating the potential of each point in the model;
Figure FDA0004016970900000031
Figure FDA0004016970900000032
Figure FDA0004016970900000033
wherein the content of the first and second substances,
Figure FDA0004016970900000034
for each point potential value of space charge, [ K ]]Is a total coefficient matrix (i.e., a total stiffness matrix), [ f []Is the result of the global synthesis of the local matrix;
[K][Φ]=[f](1-4)。
7. the method for constructing a converter variable digital twin model considering space charge according to claim 6, wherein after obtaining the electric-thermal-force multi-field coupling calculation model, the method further comprises the following steps: simplifying a single converter transformer component, and assembling the partition component to the converter transformer integral digital twin model by utilizing a multi-dimensional data transmission technology and different grid scale heterogeneous mappings.
8. The method of claim 7, wherein the separating information contained in the BIM model based on the API, storing the geometric information in a JSON file model region, and storing the material and attribute information in the JSON file information region specifically comprises:
and separating the geometric information, the material information and the attribute information of the BIM based on an API (application programming interface), converting the geometric information into an OBJ format file, storing the OBJ format file into a model area of the JSON file, and storing the material information and the attribute information into an information area of the JSON file to realize separation and calling of the model information.
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