Digital twinning system and method of direct-current power transmission system

Abstract

The invention relates to a digital twin system and method of a direct current power transmission system, and the system comprises a serial port converter which is used for transmitting electric energy metering information to a forward and reverse isolation device; the forward and reverse isolation device is used for transmitting the fault recording information and the electric energy metering information to the digital twin simulation machine; the digital twinborn simulation machine is used for constructing a simulation model of the direct-current power transmission system, realizing data calculation and deduction of the direct-current power transmission system based on the simulation model of the direct-current power transmission system and the acquired electric energy metering information and fault recording information, and outputting deduction data to the digital twinborn upper computer; and the digital twin upper computer is used for performing energy efficiency analysis on the direct-current power transmission system based on the deduction data. According to the method, the requirements of real-time monitoring, historical inversion, virtual deduction and intelligent operation and maintenance decision making of the energy efficiency metering and loss reduction technology can be met, the reliability, economical efficiency and efficiency of operation of the extra-high voltage direct current system are improved, and support is provided for digital management and optimization of a direct current power transmission system.

Description

Technical Field

[0001] The present invention relates to the technical field of power system monitoring and management, and more specifically, to a digital twin system and method for a direct current transmission system. Background Art

[0002] With the continuous growth of energy demand and the expansion of the scale of power systems, UHV DC transmission has gradually attracted widespread attention and application as an efficient, long-distance, and large-capacity power transmission method. However, during long-term operation, DC transmission systems will be affected by various factors such as electrical failures, equipment aging, and environmental impacts, which may lead to problems such as reduced energy efficiency and increased line losses, thereby affecting the reliability and economy of the system. Traditional monitoring and maintenance methods can no longer meet the growing operating requirements of DC transmission systems. Traditional methods mainly rely on manual inspections and offline data analysis, which have problems such as subjectivity of human judgment, lack of real-time performance, and low data processing efficiency. Summary of the invention

[0003] The present invention proposes a digital twin system and method for a direct current transmission system to solve the problem of how to monitor the operation status of the direct current transmission system.

[0004] In order to solve the above problem, according to one aspect of the present invention, a digital twin system of a direct current transmission system is provided, the system comprising:

[0005] The serial port converter is respectively connected to the electric energy metering system in the DC transmission system and is used to transmit the electric energy metering information to the forward and reverse isolation device;

[0006] The forward and reverse isolation device is connected to the fault recording system in the DC transmission system to transmit the fault recording information and electric energy metering information to the digital twin simulator;

[0007] A digital twin simulator is used to construct a DC transmission system simulation model, and based on the DC transmission system simulation model and the acquired electric energy metering information and fault recording information, realize data calculation and deduction of the DC transmission system, and output the deduced data to the digital twin host computer;

[0008] The digital twin host computer is used to perform energy efficiency analysis on the direct current transmission system based on the deduced data.

[0009] Preferably, the serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

[0010] Preferably, the digital twin simulator constructs a power transmission system simulation model, including:

[0011] A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system.

[0012] Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method;

[0013] Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

[0014] Preferably, the digital twin host computer performs energy efficiency analysis on the DC transmission system based on the deduction data, including:

[0015] The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

[0016] Preferably, the digital twin host computer is also used for:

[0017] The energy efficiency analysis results are fed back to the twin model with the help of the model access function to perform loss measurement inversion and invert the optimal system parameters through the minimum loss;

[0018] Preferably, the digital twin host computer is also used for:

[0019] Prediction transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

[0020] According to another aspect of the present invention, a digital twin method based on the digital twin system of the DC transmission system as described above is provided, the method comprising:

[0021] The power metering information is transmitted to the forward and reverse isolation device using a serial port converter;

[0022] The forward and reverse isolation devices are used to transmit the fault recording information and electric energy metering information to the digital twin simulator;

[0023] A DC power transmission system simulation model is constructed using a digital twin simulation machine, and data calculation and deduction of the DC power transmission system is realized based on the DC power transmission system simulation model and the acquired electric energy metering information and fault recording information, and the deduction data is output to the digital twin host computer;

[0024] The digital twin host computer is used to perform energy efficiency analysis on the DC transmission system based on the deduced data.

[0025] Preferably, the serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

[0026] Preferably, the construction of a power transmission system simulation model using a digital twin simulation machine comprises:

[0027] A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system.

[0028] Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method;

[0029] Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

[0030] Preferably, the using of the digital twin host computer to perform energy efficiency analysis on the DC transmission system based on the deduction data includes:

[0031] The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

[0032] Preferably, the method further comprises:

[0033] By using the digital twin host computer and the model access function, the energy efficiency analysis results are fed back to the twin model to perform loss measurement inversion and invert the optimal system parameters through the minimum loss.

[0034] Preferably, the method further comprises:

[0035] Utilizing the digital twin host computer, predictive transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

[0036] The present invention provides a digital twin system and method for a DC transmission system, including: a serial port converter for transmitting electric energy metering information to a forward and reverse isolation device; a forward and reverse isolation device for transmitting fault recording information and electric energy metering information to a digital twin simulator; a digital twin simulator for constructing a DC transmission system simulation model, and realizing data calculation and deduction of the DC transmission system based on the DC transmission system simulation model and the acquired electric energy metering information and fault recording information, and outputting the deduced data to a digital twin host computer; a digital twin host computer for performing energy efficiency analysis on the DC transmission system based on the deduced data. The present invention overcomes the limitations of traditional monitoring and maintenance methods by constructing a software and hardware platform, and can meet the real-time monitoring, historical inversion, virtual deduction and intelligent operation and maintenance decision-making requirements of energy efficiency metering and loss reduction technology, improve the reliability, economy and efficiency of the operation of the UHV DC system, and provide effective technical support for the digital management and optimization of the DC transmission system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0038] Figure 1 A schematic structural diagram of a digital twin system 100 of a direct current transmission system according to an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of a process for collecting fault recording information according to an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of a process of a digital twin method for a direct current transmission system according to an embodiment of the present invention;

[0041] Figure 4 4 is a flow chart of a digital twin method 400 for a direct current transmission system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0043] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0044] As an emerging concept integrating simulation modeling, data acquisition, real-time analysis and other technologies, digital twin can provide a new idea for intelligent monitoring and management of DC transmission systems. Therefore, the present invention provides a digital twin system and method for a DC transmission system.

[0045] Figure 1 FIG. 1 is a schematic diagram of the structure of a digital twin system 100 of a DC power transmission system according to an embodiment of the present invention. Figure 1 As shown, the digital twin system of the DC transmission system provided by the embodiment of the present invention overcomes the limitations of traditional monitoring and maintenance methods by building a software and hardware platform, and can meet the real-time monitoring, historical inversion, virtual deduction and intelligent operation and maintenance decision-making requirements of energy efficiency metering and loss reduction technology, improve the reliability, economy and efficiency of the operation of the UHV DC system, and provide effective technical support for the digital management and optimization of the DC transmission system. The digital twin system 100 of the DC transmission system provided by the embodiment of the present invention includes: a serial port converter 101, a forward and reverse isolation device 102, a digital twin simulator 103 and a digital twin host computer 104.

[0046] Preferably, the serial port converter 101 is respectively connected to the electric energy metering system in the DC transmission system, and is used to transmit the electric energy metering information to the forward and reverse isolation device.

[0047] Preferably, the forward and reverse isolation device 102 is connected to a fault recording system in the DC transmission system, and is used to transmit the fault recording information and electric energy metering information to the digital twin simulation machine.

[0048] Preferably, the digital twin simulation machine 103 is used to construct a simulation model of a DC transmission system, and implement data calculation and deduction of the DC transmission system based on the simulation model of the DC transmission system and the acquired electric energy metering information and fault recording information, and output the deduced data to the digital twin host computer.

[0049] Preferably, the digital twin host computer 104 is used to perform energy efficiency analysis on the direct current transmission system based on the deduced data.

[0050] Preferably, the serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

[0051] Preferably, the digital twin simulator constructs a power transmission system simulation model, including:

[0052] A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system.

[0053] Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method;

[0054] Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

[0055] Preferably, the digital twin host computer performs energy efficiency analysis on the DC transmission system based on the deduction data, including:

[0056] The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

[0057] Preferably, the digital twin host computer is also used for:

[0058] With the help of the model access function, the energy efficiency analysis results are fed back to the twin model to perform loss measurement inversion and invert the optimal system parameters through the minimum loss.

[0059] Preferably, the digital twin host computer is also used for:

[0060] Prediction transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

[0061] In the present invention, the DC power transmission system energy efficiency digital system consists of a screen cabinet 1 and a screen cabinet 2. The screen cabinet 1 is a data isolation and acquisition center, and the shielding cabinet 1 is provided with: a forward and reverse isolation device, a serial port converter and a digital twin simulator. The screen cabinet 2 is a data analysis and result display center, and the shielding cabinet 2 is provided with: a digital twin host computer and a display.

[0062] In the present invention, in order to collect electric energy and record faults, the digital twin system needs to be connected with the electric energy metering system and the fault recording system. Figure 2 As shown, in the present invention, the electric energy metering system transmits the electric energy metering information to the serial port converter through the electric energy metering serial port line, and the serial port converter then transmits the electric energy metering information to the input end network port of the forward and reverse isolation device through the output network cable. The fault recording system transmits the fault recording information to the input end network port of the forward and reverse isolation device through the fault recording system network cable. The wiring scheme meets the needs of electric energy collection and fault recording.

[0063] In the present invention, the forward and reverse isolation devices are used to ensure the security of information transmission. The forward and reverse isolation devices receive power metering information and fault recording information through the communication interface for data upload and command download, and transmit the data to the input network port of the digital twin simulator through the export network cable. The power cord supplies power to the device in the panel cabinet 1, and the timing circuit provides a time synchronization signal. The forward and reverse isolation devices can ensure that the digital twin simulator will not affect the fault recording and power metering systems when collecting information, and ensure the safe isolation when the digital twin simulator is uploaded to the host computer.

[0064] In the present invention, a digital twin simulator is used for energy efficiency measurement. Specifically, the digital twin simulator first establishes a high-precision simulation model of the power equivalent circuit of the DC transmission system, and constructs a digital space a priori data set for loss measurement of the DC transmission system based on the fixed parameters of the system; then, based on the simulation model and the digital space a priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin element parameters are determined by the digital twin system model parameter optimization method to ensure the parameter requirements of the real-time deduction and inversion calculation of the digital twin; finally, based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model for full mapping of the physical space based on deep learning is constructed. Since the entire transmission system contains linear and nonlinear high-coupling mapping relationships, these relationships can be used to deduce the remaining data of the system based on any known data within a certain dimensional limit. The fully mapped digital twin model can realize the calculation and deduction of transmission system data on the basis of a high-precision simulation model and real-time data collection, and input the data into the digital twin host computer.

[0065] In the present invention, the energy consumption model is digitized and visualized using a digital twin host computer. The digital twin host computer is equipped with visual interactive software, which performs data storage, user management, visual presentation and advanced analysis applications after receiving data from the digital twin simulator.

[0066] The visualization includes:

[0067] Real-time monitoring visualization, including: real-time monitoring of DC transmission system, one-stop display of the DC transmission system operating status, component loss ratio, subsystem / submodule operating data, component real-time operating status monitoring and component real-time energy consumption monitoring, grid topology, power transmission and equipment operating status, etc.

[0068] Energy efficiency analysis visualization, including: The core of energy efficiency measurement is to display the system loss deduced by the energy consumption model, including energy consumption distribution statistics, curve analysis, energy consumption indicators, etc. Energy efficiency analysis shows the energy consumption and distribution of components and systems by components.

[0069] Advanced analytics applications include:

[0070] Inversion twin visualization, including: using the model access function to feed back the energy efficiency analysis results to the twin model, realizing the inversion of loss measurement, and inverting the optimal system parameters through the minimum loss.

[0071] Simulation prediction visualization includes: performing prediction transfer learning based on encoder-decoder to build parameter prediction and loss prediction models, and training based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and performing simulation prediction based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the direct current transmission system.

[0072] Combination Figure 3 As shown, in the present invention, the process of performing energy efficiency digital twin based on the digital twin system of the DC transmission system includes:

[0073] Step 1: The electric energy metering system transmits the electric energy metering information to the serial port converter through the electric energy metering serial port line, and the serial port converter then transmits the electric energy metering information to the input end network port of the forward and reverse isolation device through the output network cable, and the fault recording system transmits the fault recording information to the input end network port of the forward and reverse isolation device through the fault recording system network cable;

[0074] Step 2: The forward and reverse isolation device receives the electric energy metering information and fault recording information through the communication interface for data uploading and command downloading, and transmits the data to the input network port of the digital twin simulation machine through the export network cable;

[0075] Step 3: The digital twin simulator calculates and deduce the DC transmission system data, and inputs the deduced data into the digital twin host computer;

[0076] Step 4: The digital twin host computer digitizes the energy consumption model and visualizes it on the display.

[0077] The digital twin system of the UHV DC system provided by the present invention can collect data in real time by connecting the electric energy metering system and the wave recording system; in the simulator, a high-precision simulation model consisting of a power equivalent circuit of the DC transmission system is established, and a loss metering digital twin model based on deep learning and full mapping of the physical space is constructed based on the optimal values ​​of the twin element parameters, so that the transmission system data calculation and deduction are realized on the basis of the high-precision simulation model and real-time data collection; the digital twin host computer is equipped with interactive software, which performs data storage, user management and advanced analysis application visualization after receiving the data from the digital twin simulator, supports the formulation of intelligent operation and maintenance decisions, and can provide effective technical support for the digital management and optimization of the DC transmission system.

[0078] Figure 4 FIG. 4 is a flow chart of a digital twin method 400 for a DC power transmission system according to an embodiment of the present invention. Figure 4As shown, the digital twin method 400 of the digital twin system based on the DC transmission system as described above provided in an embodiment of the present invention starts from step 401. In step 401, the electric energy metering information is transmitted to the forward and reverse isolation device using a serial port converter.

[0079] In step 402, the fault recording information and electric energy metering information are transmitted to the digital twin simulation machine using the forward and reverse isolation device.

[0080] In step 403, a simulation model of a DC power transmission system is constructed using a digital twin simulation machine, and data calculation and deduction of the DC power transmission system are implemented based on the simulation model of the DC power transmission system and the acquired electric energy metering information and fault recording information, and the deduced data is output to a digital twin host computer.

[0081] Preferably, the construction of a power transmission system simulation model using a digital twin simulation machine comprises:

[0082] A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system.

[0083] Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method;

[0084] Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

[0085] In step 404, a digital twin host computer is used to perform energy efficiency analysis on the DC transmission system based on the deduced data.

[0086] Preferably, the using of the digital twin host computer to perform energy efficiency analysis on the DC transmission system based on the deduction data includes:

[0087] The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

[0088] Preferably, the method further comprises:

[0089] By using the digital twin host computer and the model access function, the energy efficiency analysis results are fed back to the twin model to perform loss measurement inversion and invert the optimal system parameters through the minimum loss.

[0090] Preferably, the method further comprises:

[0091] Utilizing the digital twin host computer, predictive transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

[0092] Preferably, the serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

[0093] The digital twin method 400 of the DC transmission system of the embodiment of the present invention corresponds to the digital twin system 100 of the DC transmission system of another embodiment of the present invention, and will not be described in detail here.

[0094] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0095] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise therein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of said means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

[0096] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A digital twin system of a direct current transmission system, characterized in that: The system comprises: The serial port converter is connected to the electric energy metering system in the DC transmission system and is used to transmit the electric energy metering information to the forward and reverse isolation device; The forward and reverse isolation device is connected to the fault recording system in the DC transmission system to transmit the fault recording information and electric energy metering information to the digital twin simulator; A digital twin simulator is used to construct a DC transmission system simulation model, and based on the DC transmission system simulation model and the acquired electric energy metering information and fault recording information, realize data calculation and deduction of the DC transmission system, and output the deduced data to the digital twin host computer; The digital twin host computer is used to perform energy efficiency analysis on the direct current transmission system based on the deduced data.

2. The system according to claim 1, characterized in that The serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

3. The system according to claim 1, characterized in that The digital twin simulator constructs a transmission system simulation model, including: A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system. Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method; Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

4. The system according to claim 1, characterized in that The digital twin host computer performs energy efficiency analysis on the DC transmission system based on the deduced data, including: The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

5. The system according to claim 1, characterized in that The digital twin host computer is also used for: With the help of the model access function, the energy efficiency analysis results are fed back to the twin model to perform loss measurement inversion and invert the optimal system parameters of the DC transmission system through the minimum loss.

6. The system according to claim 1, characterized in that The digital twin host computer is also used for: Prediction transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

7. A digital twin method of a digital twin system of a direct current transmission system according to any one of claims 1 to 6, characterized in that: The method comprises: The power metering information is transmitted to the forward and reverse isolation device using a serial port converter; The forward and reverse isolation devices are used to transmit the fault recording information and electric energy metering information to the digital twin simulator; A DC power transmission system simulation model is constructed using a digital twin simulation machine, and data calculation and deduction of the DC power transmission system is realized based on the DC power transmission system simulation model and the acquired electric energy metering information and fault recording information, and the deduction data is output to the digital twin host computer; The digital twin host computer is used to perform energy efficiency analysis on the DC transmission system based on the deduced data.

8. The method according to claim 7, characterized in that The serial port converter, forward and reverse isolation device and digital twin simulation machine are arranged in a first shielding cabinet, and the digital twin host computer is arranged in a second shielding cabinet.

9. The method according to claim 7, characterized in that: The use of a digital twin simulation machine to construct a power transmission system simulation model includes: A simulation model is established based on the power equivalent circuit of the DC transmission system, and a digital spatial priori dataset for DC transmission system loss measurement is constructed based on the fixed parameters of the system. Based on the simulation model and the digital spatial priori data set for loss measurement of the DC transmission system, the optimal values ​​of the twin component parameters are determined by a digital twin system model parameter optimization method; Based on the optimal values ​​of the twin element parameters, a loss measurement digital twin model based on deep learning and full mapping of physical space is constructed.

10. The method according to claim 7, characterized in that The using of the digital twin host computer to perform energy efficiency analysis on the DC transmission system based on the deduced data includes: The energy consumption and energy consumption distribution of the DC transmission system and components are analyzed based on the deduced data; wherein the deduced data include: the operating status of the DC transmission system, the proportion of component losses, the operating data of each subsystem, the real-time operating status of the components, the real-time energy consumption of the components, the grid topology, power transmission and the operating status of the equipment.

11. The method according to claim 7, characterized in that The method further comprises: By using the digital twin host computer and the model access function, the energy efficiency analysis results are fed back to the twin model to perform loss measurement inversion and invert the optimal system parameters through the minimum loss.

12. The method according to claim 7, characterized in that The method further comprises: Utilizing the digital twin host computer, predictive transfer learning is performed based on the encoder-decoder to construct parameter prediction and loss prediction models, and training is performed based on historical deduction data within a preset time period to obtain trained parameter prediction and loss prediction optimization models, and simulation prediction is performed based on the trained parameter prediction and loss prediction optimization models; wherein the simulation prediction includes: parameter prediction and energy consumption prediction of components of the DC transmission system.

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