A method for constructing a digital twin model framework for DC GIL

Abstract

The present invention discloses a method for constructing a digital twin model framework for DC GIL, including constructing a cross-time stage model framework throughout the entire life cycle and a cross-space scale equipment digital model framework based on a "segment" layer, and integrating and interconnecting the constructed model frameworks to obtain a digital twin model framework for DC GIL. The digital twin model framework for DC GIL constructed using the method of the present invention can monitor the complex operating status of DC GIL in real time, provide safer, more accurate, and efficient computing and analysis technical support for power grid operation, and realize the full life cycle management of DC GIL.

Description

Technical Field

[0001] The present invention belongs to the fields of information technology and computer technology, and relates to a method for constructing a digital twin model framework for a direct current GIL. Background Art

[0002] With the advancement of information technology and computer technology, the process of digitalization in various industries is accelerating, and digital transformation has become the only way for the future development of my country's economy and society. Digital power grid has become a hot topic in research in the past two years, and digital twin technology is an effective way to realize digital power grid.

[0003] GIL, the full name of which is Gas Insulated Transmission Lines, is commonly used as a power transmission channel from underground plants to the ground. GIL is part of the transmission line. In order to facilitate the installation of power transmission equipment indoors, GIL is connected by pipes. If the environment is not clean enough and the cleaning is not done properly during the equipment manufacturing and installation process, there will be dust residue in the pipes, which will cause discharge failures during equipment operation. In addition, the vibration of GIL caused by the external environment may also cause friction at the conductor joints and produce conductive particles. Secondly, in order to ensure that the conductor busbar is in the center of the pipeline, the equipment is fixed with supporting insulators. If the quality of the insulator is slightly flawed (such as cracks or bubbles), it is very likely to reduce its insulation performance, cause discharge, and cause accidents. Therefore, it is necessary to monitor the operating status of GIL in real time to ensure the safety of the power grid.

[0004] Digital twin technology makes full use of physical models, sensor data, operation history and other data, integrates multi-physical quantity, multi-time scale, and multi-physical scale simulation processes, reflects the complex operating status of actual power systems and equipment, and provides safer, more accurate and efficient computing and analysis technical support for power grid operation.

[0005] The digital twin of power equipment is an important prerequisite for realizing the digitalization of power grids. Its realization can greatly improve the economy and reliability of equipment throughout its life cycle. Therefore, it is very necessary to carry out in-depth research on the key technologies of digital twin of power equipment. Summary of the invention

[0006] The purpose of the present invention is to provide a method for constructing a digital twin model framework for DC GIL. The constructed model can monitor the complex operating status of DC GIL in real time, provide safer, more accurate and efficient computing and analysis technical support for power grid operation, and realize the full life cycle management of DC GIL.

[0007] The technical solution adopted in the present invention is a method for constructing a digital twin model framework for DC GIL, including constructing a cross-time stage model framework throughout the entire life cycle and a cross-spatial scale equipment digital model framework based on the "segment" layer, and integrating and interconnecting the constructed model frameworks to obtain a digital twin model framework for DC GIL.

[0008] Among them, building a cross-time stage model framework throughout the entire life cycle includes analyzing the different requirements for models at each stage of the equipment life cycle, proposing a mechanism for the simultaneous transmission of physical entities and digital models at each stage, establishing a cross-stage system of production-testing-operation and maintenance, analyzing the content and main mechanism of information storage in digital models, and studying the separation methods of single components or units during manufacturing and testing to achieve barrier-free flow of information and data.

[0009] In the process of constructing a cross-time stage model framework throughout the entire life cycle, the time scale is divided according to the natural equipment production stage, namely the three parts of production stage-test stage-operation and maintenance stage.

[0010] In the process of constructing a cross-time stage model framework throughout the entire life cycle, after the time scale division is completed, the information transmission of different stages is completed simultaneously by physical model and digital model. The digital model contains implicit information that is ignored in many existing systems, such as the residual stress of pot-type insulators and local micro defects during the test process.

[0011] The physical fields in the physical model in the production stage include chemical calculations, stress calculations, electric field calculations and thermal field calculations. The physical fields in the physical model in the test stage include electric field calculations, flow field calculations, stress calculations and thermal field calculations. The physical fields in the physical model in the operation and maintenance stage include electric field calculations, flow field calculations, stress calculations, thermal field calculations, equipment surface charge calculations and aging calculations.

[0012] In the process of constructing a cross-time stage model framework throughout the entire life cycle, after the time scale division is completed, the assembly of digital models of different stages is completed in the form of life and death units, so that the model can run through the three stages of production-testing-operation and maintenance.

[0013] Constructing a cross-space scale equipment digital model framework based on the "segment" layer includes analyzing the requirements of different physical fields for models, proposing to add a "segment" layer between units and components, establishing a four-level model of equipment-unit-"segment"-component, analyzing the division scale and method of the "segment" layer, studying the relationship and construction mode of the "segment" layer, units and components, and constructing a transmission mechanism for loads and calculation results between different levels.

[0014] In the process of constructing a cross-spatial scale equipment digital model framework based on the "segment" layer, when dividing the spatial scale, on the basis of the original three levels of "equipment-unit-component", it is proposed to add a "segment" layer between units and components to adapt to the calculation requirements of different physical fields.

[0015] In the process of constructing a cross-spatial scale equipment digital model framework based on the "segment" layer, after the spatial scale division is completed, the division scale of the "segment" layer fully considers the model requirements of different physical fields. The "segment" layer is a component-level assembly. The component level has basin-type insulators or three-pillar insulators as core components, and also includes conductive rods, shells, insulating gas, grounding busbars and particle collectors.

[0016] In the process of constructing a cross-spatial scale equipment digital model framework based on the "segment" layer, after the spatial scale division is completed, a "tree-like" hierarchical structure is formed with sub-model technology as the core. The components are sub-models of the "segment" layer, and the "segment" structure is a sub-model of the unit. The units are interconnected in a sub-model manner to form a device.

[0017] The beneficial effect of the present invention is that by constructing a cross-time stage model framework throughout the entire life cycle and a cross-space scale equipment digital model framework based on the "segment" layer, the two constructed model frameworks are integrated and interconnected, and the obtained digital twin model for DC GIL can monitor the complex operating status of DC GIL in real time, realize the digitization of the power grid, and provide safer, more accurate and efficient computing and analysis technical support for the operation of the power grid, which can greatly improve the economy and reliability of the entire life cycle of DC GIL. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a stage division diagram of the time dimension in a method for constructing a digital twin model framework for a DC GIL according to the present invention;

[0019] Figure 2 It is a scale division diagram of the space dimension in a method for constructing a digital twin model framework for a DC GIL according to the present invention;

[0020] Figure 3 It is a data interaction pattern diagram in a digital twin model framework construction method for DC GIL of the present invention. DETAILED DESCRIPTION

[0021] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] The present invention provides a method for constructing a digital twin model framework for DC GIL, including constructing a cross-time stage model framework throughout the entire life cycle and a cross-space scale equipment digital model framework based on a "segment" layer, integrating and interconnecting the constructed model frameworks, and then performing simulation and status evaluation.

[0023] To construct a model framework across time stages throughout the life cycle, see Figure 1 , including analyzing the different requirements for models at different stages of the equipment life cycle, proposing a mechanism for the simultaneous transmission of physical entities and digital models at each stage, establishing a cross-stage system of production-testing-operation and maintenance, analyzing the content and main mechanisms of information storage in digital models, and studying the separation methods of single components or units during manufacturing and testing to achieve barrier-free flow of information and data.

[0024] In the process of constructing a cross-time stage model framework throughout the entire life cycle, the time scale is divided according to the natural equipment production stage, namely the three parts of production stage, test stage and operation and maintenance stage.

[0025] After the time scale division is completed, there are two difficulties in data transmission. One is the need to transmit between different stages, and the other is the data transmission and reflection of the assembly process. For the first problem, the information transmission of different stages is completed by transmitting the physical model and the digital model at the same time. The digital model contains many implicit information ignored in the existing system, such as the residual stress of the basin insulator and the local micro defects in the test process. For the second problem, the assembly of digital models at different stages is completed in the form of life and death units, so that the model can run through the three stages of production-testing-operation and maintenance.

[0026] The physical fields in the physical model in the production stage include chemical calculations, stress calculations, electric field calculations and thermal field calculations. The physical fields in the physical model in the test stage include electric field calculations, flow field calculations, stress calculations and thermal field calculations. The physical fields in the physical model in the operation and maintenance stage include electric field calculations, flow field calculations, stress calculations, thermal field calculations, equipment surface charge calculations and aging calculations.

[0027] The calculations involved in the three models are performed using COMSOL simulation software. A reduced-order model is constructed for each stage. The calculation method used is the finite element calculation method, model establishment, mesh division, boundary condition setting, and finally simulation calculation.

[0028] Construct a digital model framework for devices across spatial scales based on the "segment" layer, see Figure 2 , including analyzing the requirements of different physical fields for models, proposing to add a "segment" layer between units and components, establishing a four-level model of equipment-unit-"segment"-component, analyzing the division scale and method of the "segment" layer, studying the relationship and construction mode of the "segment" layer, units and components, and constructing a transmission mechanism for loads and calculation results between different levels.

[0029] In the process of constructing a cross-spatial scale equipment digital model framework based on the "segment" layer, when dividing the spatial scale, on the basis of the original three levels of "equipment-unit-component", it is proposed to add a "segment" layer between units and components to adapt to the calculation requirements of different physical fields.

[0030] After the spatial scale division is completed, there are two problems after the equipment is divided into four layers. One is the division scale of the "segment" layer, and the other is how to realize the subordinate relationship between different layers.

[0031] For the first problem, the requirements of different physical fields for the model are fully considered. The "segment" layer is a component-level assembly. The component-level has basin insulators or three-pillar insulators as core components, and also includes conductive rods, shells, insulating gas, grounding busbars and particle collectors. The structural characteristics of GIL itself lead to a large number of identical "segment" structures in the equipment. Taking the "segment" layer as the core is more conducive to the realization of multi-physical field calculations.

[0032] For the second problem, a "tree-like" hierarchical structure is formed with sub-model technology as the core. The components are sub-models of the "segment" layer, and the "segment" structure is a sub-model of the unit. The units are interconnected in the form of sub-models to form a device, see Figure 3 .

[0033] A digital twin model framework for DC GIL is constructed, which specifically includes constructing a "one graph for equipment" model based on the spatiotemporal topological structure of the equipment. According to the hierarchical topological structure of the equipment, the graph data structure expression method at the spatial level of the equipment is studied, so as to integrate the status of units, components and key positions, and clarify their positions and subordinate relationships.

[0034] Analyze the complex spatiotemporal dependencies of data during equipment operation, study the storage and expression of time series data in graph structured data to achieve efficient spatiotemporal fusion of data, and establish a "one-picture-for-equipment" model that reflects the entire structure and history of DC GIL.

[0035] Construct a graph convolutional neural network model for spatiotemporal multidimensional data. For the DC GIL "one graph for equipment" model, introduce graph convolutional neural networks for data processing, study methods to make the graph topology structure translation invariant, introduce pooling operators and study their construction mechanism to reduce model complexity. Based on the spatiotemporal characteristics of graph data, study the construction mechanism of convolution operators, and establish a graph convolutional neural network model in combination with pooling operators. Study the sample library construction mode for training and verification models, and finally complete equipment structure optimization, status assessment and life prediction through data analysis to achieve full life cycle management of equipment.

Claims

1. A method for constructing a digital twin model framework for DC GIL, characterized in that: This includes building a cross-time stage model framework throughout the entire life cycle and a cross-space scale equipment digital model framework based on the "segment" layer, integrating and interconnecting the two constructed model frameworks to obtain a digital twin model framework for DC GIL; Building a cross-time stage model framework throughout the entire life cycle includes analyzing the different requirements for models at each stage of the equipment life cycle, proposing a mechanism for the simultaneous transmission of physical entities and digital models at each stage, establishing a cross-stage system of production-testing-operation and maintenance, analyzing the content and main mechanism of information storage in digital models, and studying the separation methods of single components or units during manufacturing and testing to achieve barrier-free flow of information and data; In the process of constructing a cross-time stage model framework throughout the entire life cycle, the time scale is divided according to the natural equipment production stage, namely the three parts of production stage-test stage-operation and maintenance stage; In the process of constructing a cross-time stage model framework throughout the entire life cycle, after the time scale division is completed, the information transmission of different stages is completed by simultaneously transmitting the physical model and the digital model. The digital model contains a lot of implicit information that is ignored in the existing system, including the residual stress of the pot insulator and the local micro defects in the test process; The physical fields in the physical model of the production stage include chemical calculation, stress calculation, electric field calculation and thermal field calculation; the physical fields in the physical model of the test stage include electric field calculation, flow field calculation, stress calculation and thermal field calculation; the physical fields in the physical model of the operation and maintenance stage include electric field calculation, flow field calculation, stress calculation, thermal field calculation, equipment surface charge calculation and aging calculation; In the process of building a cross-time stage model framework throughout the entire life cycle, after the time scale division is completed, the assembly of digital models of different stages is completed in the form of life and death units, so that the model can run through the three stages of production-testing-operation and maintenance; Constructing a cross-space scale equipment digital model framework based on the "segment" layer includes analyzing the requirements of different physical fields for models, proposing to add a "segment" layer between units and components, establishing a four-level model of equipment-unit-"segment"-component, analyzing the division scale and method of the "segment" layer, studying the relationship and construction mode of the "segment" layer, units and components, and constructing a transmission mechanism for loads and calculation results between different levels; In the process of constructing a cross-space scale equipment digital model framework based on the "segment" layer, when dividing the spatial scale, on the basis of the original three levels of "equipment-unit-component", it is proposed to add a "segment" layer between units and components to adapt to the calculation requirements of different physical fields; In the process of constructing the cross-space scale equipment digital model framework based on the "segment" layer, after the spatial scale division is completed, the division scale of the "segment" layer fully considers the needs of different physical fields for the model. The "segment" layer is a component-level assembly. The component level takes the basin insulator or three-pillar insulator as the core component, and also includes the conductive rod, shell, insulating gas, ground bus and particle collector. In the process of constructing a cross-spatial scale equipment digital model framework based on the "segment" layer, after the spatial scale division is completed, a "tree-like" hierarchical structure is formed with sub-model technology as the core. The components are sub-models of the "segment" layer, and the "segment" structure is a sub-model of the unit. The units are interconnected in a sub-model manner to form a device.

Images