Intelligent substation informatization standard system based on digital twinning technology

Abstract

The invention discloses an intelligent substation informatization standard system based on a digital twinning technology, and the system comprises a physical layer which obtains the operation data of a substation in real time through the physical layer, and transmits the operation data to a data transmission layer; the data transmission layer receives the physical layer data, encrypts the physical layer data and transmits the encrypted physical layer data to the virtual layer; the virtual layer comprises a data twinborn model construction module, a simulation analysis module and a big data analysis module, the virtual layer receives the encrypted data of the data transmission layer, constructs a data twinborn model by using the data twinborn model construction module based on the encrypted data, and sends the data twinborn model to the simulation analysis module; and the simulation analysis module and the big data analysis module are used for performing simulation analysis and transmitting an analysis result to the application layer. The digital twinning technology is introduced, comprehensive monitoring, intelligent control and optimized operation of the transformer substation are achieved, the automation level, safety and operation efficiency of the transformer substation are improved, meanwhile, the virtual layer adopts modular design and an extensible framework, and rapid access of new equipment and functions is supported.

Description

Technical Field

[0001] The present invention relates to the field of power technology, and in particular, to an intelligent substation informatization standard system based on digital twin technology. Background Art

[0002] A substation, as a core component of the power system, is mainly responsible for performing necessary transformations on voltage and current, receiving and reasonably distributing electric energy. Inside a power plant, such a substation is usually called a step-up substation, and its key role is to step up the electric energy generated by the generator to ensure that the electric power can be stably and efficiently transmitted to the high-voltage power grid to meet the requirements of long-distance transmission and distribution.

[0003] To ensure the safe and stable operation of the substation, inspection is a crucial daily task. The on-duty personnel need to conduct regular inspections, carefully observe the appearance of the equipment, and check for any abnormal conditions such as color changes and debris accumulation. At the same time, they also need to pay attention to whether the indication of the meter needle is normal, whether the sound of the equipment is abnormal, and whether there is an abnormal smell. When permitted, they also need to touch the equipment to check whether its temperature is within the specified range. In addition, measuring the changes in the operating parameters of electrical equipment during operation is also an important means to judge the equipment status. However, with the rapid development of power technology, the challenges faced by traditional substation informatization systems are becoming increasingly prominent, such as insufficient automation level, difficult-to-guarantee security, and high operation and maintenance costs. To solve these problems, it is particularly urgent to develop a new intelligent substation informatization standard system based on digital twin technology. Summary of the Invention

[0004] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the specification of this application, to avoid obscuring the purpose of this part, the abstract, and the title, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides an intelligent substation informatization standard system based on digital twin technology to solve the problems of low automation level, poor security, and high operation and maintenance costs of traditional substation informatization systems.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent substation informatization standard system based on digital twin technology, including:

[0008] A physical layer, which obtains the operation data of the substation in real time through the physical layer and sends it to the data transmission layer;

[0009] The data transmission layer receives the physical layer data, performs encryption processing, and transmits the encrypted data to the virtual layer;

[0010] The virtual layer includes a data twin model construction module, a simulation analysis module, and a big data analysis module. The virtual layer receives the encrypted data from the data transmission layer, constructs a data twin model using the data twin model construction module based on the encrypted data, and performs simulation analysis using the simulation analysis module and the big data analysis module, and transmits the analysis results to the application layer.

[0011] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the physical layer includes,

[0012] The physical layer includes a device module, a sensor module, and an edge computing device;

[0013] The operation data of the device module is collected in real time by the sensor module, and the operation data of the device module is transmitted to the edge computing device. The edge computing device receives the data collected by the sensor module and performs processing and analysis;

[0014] The edge computing device sends the processed and analyzed data to the transmission layer, and transmits it to the virtual layer through the transmission layer.

[0015] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the data transmission layer receives the physical layer data and performs encryption processing including,

[0016] The data transmission layer includes an industrial Ethernet module and a data encryption module;

[0017] The data transmission layer receives the physical layer data through the industrial Ethernet module, performs data encryption processing on the physical layer data using the data encryption module, and the encrypted data is then transmitted to the virtual layer through the industrial Ethernet module.

[0018] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the virtual layer includes,

[0019] The output end of the data twin model construction module is connected to the input end of the simulation analysis module, and the output end of the simulation analysis module is connected to the input end of the big data analysis module.

[0020] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the virtual layer data twin model construction module includes,

[0021] The virtual layer receives the encrypted data from the data transmission layer, decrypts it to obtain decrypted data, integrates the decrypted data with the historical maintenance records of substation equipment, and constructs a digital twin model corresponding to the physical entity in the virtual space based on the integrated dataset.

[0022] Based on the operation data of the substation obtained in real time from the physical layer, the digital twin model is updated and adjusted in real time.

[0023] Based on the digital twin model, the simulation analysis module is used to simulate various operation scenarios and conditions of substation equipment and output simulation results. The simulation results are compared with the operation data of the substation obtained in real time from the physical layer and the historical data of the substation through the big data analysis module. If the gap between the simulation results and the operation data of the substation obtained in real time from the physical layer and the historical data of the substation exceeds the set threshold, the fault detection mechanism is triggered and an analysis result is generated.

[0024] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the triggered fault detection mechanism includes,

[0025] The digital twin model analyzes the data exceeding the threshold and transmits the data exceeding the threshold to the physical layer for verification. If it is a substation equipment fault, a fault information report is generated through the big data analysis module according to the simulation results of the simulation analysis module and the historical maintenance records.

[0026] If it is a digital twin model fault, based on the search space of the learning rate, batch size, and regularization weight parameters of the digital twin model, the random search algorithm is used to randomly select parameter combinations, and the parameter combinations are used to train the digital twin model to obtain the best parameter combination.

[0027] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein: the virtual layer simulation analysis module and the big data analysis module include,

[0028] The simulation analysis module includes a real-time simulation module, a fault simulation module, and a parameter optimization module;

[0029] The big data analysis module includes a data collection module, a data storage module, and a data analysis module;

[0030] The big data analysis module transmits the analysis result to the application layer.

[0031] As a preferred solution of the intelligent substation informatization standard system based on digital twin technology of the present invention, wherein:

[0032] The big data analysis module transmits the analysis result to the application layer including,

[0033] The application layer receives the analysis results of the big data analysis module in the virtual layer, organizes them, and sends them to the user interface layer. Based on the analysis results, real-time fault diagnosis and early warning are carried out on the informatization standard system of the intelligent substation;

[0034] The user interface layer receives the data from the application layer and visually displays it to the user;

[0035] There are bidirectional connections between each of the physical layer, data transmission layer, virtual layer, application layer, and user interface layer.

[0036] In a third aspect, the present invention provides a computing device, including:

[0037] A memory and a processor;

[0038] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the informatization standard system of the intelligent substation based on the digital twin technology are implemented.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the informatization standard system of the intelligent substation based on the digital twin technology are implemented.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention introduces the digital twin technology to achieve comprehensive monitoring, intelligent control, and optimized operation of the substation, improving the automation level, safety, and operation efficiency of the substation. At the same time, the present invention also has advantages such as full life cycle support, efficient operation and maintenance, strong security, and good sustainability, providing strong support for the informatization and intelligent development of the power industry. The virtual layer adopts a modular design and an extensible architecture, supporting the rapid access of new devices and functions. When new devices or functions need to be added, only the corresponding modules need to be added in the virtual layer to achieve rapid integration and deployment. At the same time, the virtual layer also has good flexibility and can be customized and configured according to actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0042] Figure 1Schematic diagram of the overall process of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0043] Figure 2 Schematic diagram of the physical layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0044] Figure 3 Schematic diagram of the data transmission layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0045] Figure 4 Schematic diagram of the virtual layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0046] Figure 5 Schematic diagram of the application layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0047] Figure 6 Schematic diagram of the user interface layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention;

[0048] Figure 7 Schematic diagram of the connection method of each layer of the intelligent substation informatization standard system based on digital twin technology according to an embodiment of the present invention. Detailed implementation manners

[0049] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will describe the specific implementation manners of the present invention in detail with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0050] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0051] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that can be included in at least one implementation manner of the present invention. The "in one embodiment" appearing in different places in this specification does not all refer to the same embodiment, nor is it an individual or alternative embodiment that is mutually exclusive with other embodiments.

[0052] The present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally in a non-general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0053] Meanwhile, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper, lower, inner, and outer" is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0054] Unless otherwise clearly specified and defined in the present invention, the terms "mounted, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0055] Embodiment 1

[0056] Referring to Figures 1-7 , an embodiment of the present invention provides an information standard system for a smart substation based on digital twin technology, including:

[0057] S100: The physical layer, which obtains the operation data of the substation in real time through the physical layer and sends it to the data transmission layer; the schematic diagram of the physical layer is shown in Figure 2;

[0058] Preferably, the physical layer includes a device module, a sensor module, and an edge computing device;

[0059] In the embodiment of the present application, the device module includes a transformer, a circuit breaker, and a switchgear, and the sensor module includes a temperature sensor, a current sensor, and a vibration sensor;

[0060] In another embodiment, the device module may include other types of power equipment, such as capacitors, reactors, or lightning arresters, etc., to meet the specific needs of different substations; the sensor module can also be expanded or replaced according to specific application scenarios and monitoring requirements. For example, humidity sensors, pressure sensors, or gas sensors can be added to provide more comprehensive and accurate monitoring data;

[0061] Preferably, the operation data of the device module is collected in real time by the sensor module, and the operation data of the device module is transmitted to the edge computing device. The edge computing device receives the data collected by the sensor module and processes and analyzes it;

[0062] Preferably, the edge computing device sends the processed and analyzed data to the transport layer and transmits it to the virtual layer through the transport layer;

[0063] In the embodiment of the present application, the operation data of the substation includes information such as the design drawings of the physical layer devices, the actual operation data, and the historical maintenance records, etc.; the design drawings are the basic information of the substation devices, including the structure, size, wiring method, etc. of the devices, and are used to accurately simulate the physical characteristics of the devices in the virtual environment; the actual operation data includes the real-time operation parameters of the devices, such as current, voltage, temperature, vibration, etc.; the historical maintenance records include information such as the maintenance history, fault records, and replaced parts of the devices;

[0064] After obtaining the operation data of the substation, preprocess the operation data of the substation. The preprocessing includes multiple links such as data cleaning, data integration, and data conversion. Use data cleaning to remove errors, interference, and redundant information in the data to ensure the accuracy and reliability of the data; use data integration to integrate data from different sensors and different time points to form a complete data set for comprehensively understanding the operation status and performance of the devices; use data conversion to convert the data into a format suitable for analysis and processing, such as converting the design drawings into a digital model.

[0065] S102: Data transport layer. The data transport layer receives the physical layer data and performs encryption processing, and transmits the encrypted data to the virtual layer; The schematic diagram of the data transport layer is shown in Figure 3;

[0066] Preferably, the data transport layer includes an industrial Ethernet module and a data encryption module;

[0067] Preferably, the data transport layer receives the physical layer data through the industrial Ethernet module, uses the data encryption module to perform data encryption processing on the physical layer data, and the encrypted data is then transmitted to the virtual layer through the industrial Ethernet module;

[0068] Specifically, the data transmission layer receives the data sent by the physical layer through the industrial Ethernet module. The data transmission layer will perform data verification to ensure that the received data is complete, correct, and timely. After that, using an advanced data encryption module, the verified data is encrypted to prevent the data from being illegally intercepted or tampered with during transmission. The encrypted data is then transmitted again through the industrial Ethernet module to ensure the secure transmission of the data to the virtual layer. During the data transmission process, the data transmission layer will monitor the transmission status of the data in real time and trigger the processing mechanism in a timely manner when an abnormal situation occurs. At the same time, the data transmission layer will record the detailed logs of the data transmission for subsequent data auditing, fault troubleshooting, and system optimization. The entire data transmission process not only ensures the security and integrity of the data but also provides a strong guarantee for the stable operation of the intelligent substation informatization standard system;

[0069] In another embodiment, data encryption technologies include AES, RSA, ECC, and quantum encryption, etc. Taking AES as an example, the AES encryption technology uses the symmetric key encryption method, that is, the same key is used for encryption and decryption. When the data transmission layer receives the substation operation data from the physical layer, the AES encryption module will divide these data according to the block size specified by the AES algorithm and perform multiple rounds of substitution and permutation operations on each data block. These operations transform the original data into seemingly random ciphertext through complex mathematical transformations, thereby preventing the data from being illegally accessed or tampered with during transmission. After encryption, the encrypted data and the key will be securely transmitted to the virtual layer through the industrial Ethernet module for analysis and processing by the upper-layer applications.

[0070] S104: The virtual layer. The virtual layer includes a data twin model construction module, a simulation analysis module, and a big data analysis module. The virtual layer receives the encrypted data from the data transmission layer. Based on the encrypted data, the data twin model construction module is used to construct a data twin model, and the simulation analysis module and the big data analysis module are used to perform simulation analysis and transmit the analysis results to the application layer. The schematic diagram of the virtual layer is shown in Figure 4;

[0071] It should be noted that the data twin technology is used in the data twin model. The data twin technology is a technology that uses the real-time data of physical devices to construct a digital model corresponding to the physical entity in the virtual space, which can reflect the state, behavior, and performance of physical devices in real time and predict their future development trends. Through the data twin technology, the equipment in the substation can be monitored and managed throughout its life cycle, realizing the intelligent control, fault warning and diagnosis, and operation optimization of the equipment. The data twin technology provides strong support for the informatization and intelligent development of the substation, improving the automation level, security, and operation efficiency of the substation;

[0072] Preferably, the output end of the data twin model construction module is connected to the input end of the simulation analysis module, and the output end of the simulation analysis module is connected to the input end of the big data analysis module;

[0073] Preferably, the virtual layer receives the encrypted data of the data transmission layer, decrypts it to obtain the decrypted data, integrates the decrypted data with the historical maintenance records of the substation equipment, and constructs a data twin model corresponding to the physical entity in the virtual space based on the integrated data set;

[0074] Preferably, based on the operation data of the substation obtained in real time by the physical layer, the data twin model is updated and adjusted in real time;

[0075] Specifically, the data twin model construction module includes data twin model construction, data twin model update, and data twin model verification. The model construction is based on information such as the design drawings, actual operation data, and historical maintenance records of the physical layer equipment to construct an accurate digital twin model. The data twin model not only includes the geometric structure of the equipment but also the physical characteristics and behavior patterns of the equipment. With the operation and maintenance of the physical layer equipment, the digital twin model needs to be updated in real time to reflect the latest state of the equipment, including information such as equipment parameter adjustment, fault repair, and equipment upgrade. The data twin model verification is to ensure the accuracy of the digital twin model. Model verification needs to be carried out regularly. By comparing with the actual operation data of the physical layer equipment, the accuracy and reliability of the model are evaluated, and adjustments and optimizations are made as needed;

[0076] Preferably, based on the data twin model, the simulation analysis module is used to simulate various operation scenarios and conditions of the substation equipment and output the simulation results. The simulation results are compared with the operation data of the substation obtained in real time by the physical layer and the historical data of the substation through the big data analysis module. If the gap between the simulation results and the operation data of the substation obtained in real time by the physical layer and the historical data of the substation exceeds the set threshold, the fault detection mechanism is triggered and an analysis result is generated;

[0077] Preferably, the data twin model analyzes the data exceeding the threshold and transmits the data exceeding the threshold to the physical layer for verification. If it is a fault of the substation equipment, a fault information report is generated through the big data analysis module according to the simulation results of the simulation analysis module and the historical maintenance records;

[0078] In the embodiments of the present application, the fault information report includes the time, location, and type of the fault, and details the specific data leading to the fault detection, such as the parameter values exceeding the threshold, relevant waveform diagrams, etc., as well as the timestamp information of these data. Combining the simulation results and historical records, the fault information report analyzes the possible causes of the fault, such as equipment aging, operation errors, or external factors, evaluates the actual impact of the fault on the operation of the substation, including the possible power outage scope, duration, and potential impact on the equipment life, and proposes targeted fault handling suggestions based on the above fault analysis, including emergency repair measures, equipment replacement suggestions, and operation improvement plans, etc.;

[0079] Preferably, if it is a data twin model fault, based on the search space of the learning rate, batch size, and regularization weight parameter of the data twin model, use the random search algorithm to randomly select parameter combinations, train the data twin model with the parameter combinations, and obtain the optimal parameter combination;

[0080] Specifically, preset the search space of the key hyperparameters. The learning rate determines the step size of the weight update during the training process of the model. If it is too large, it may lead to unstable training. If it is too small, the training process may be too slow. The batch size determines the number of samples used in each iteration, which affects the generalization ability and training speed of the model. The regularization weight parameter is used to control the fitting degree of the model to the training data to avoid overfitting. Use the random search algorithm to randomly select multiple parameter combinations from the defined search space. The randomness ensures that the algorithm can cover different regions in the search space, thereby finding a wider range of potential optimal solutions. Use these randomly selected parameter combinations to train the data twin model. During the training process, monitor the performance of the model, such as accuracy, recall, or loss function value, etc., to evaluate the performance of the model under the current parameter combination. After multiple iterative trainings, compare the performance of the model under different parameter combinations, and select the parameter combination with the best performance as the optimal parameter combination. This optimal parameter combination can ensure that the data twin model reaches the optimal state in terms of accuracy and stability;

[0081] Preferably, the simulation analysis module includes a real-time simulation module, a fault simulation module, and a parameter optimization module;

[0082] The big data analysis module includes a data acquisition module, a data storage module, and a data analysis module;

[0083] The big data analysis module transmits the analysis results to the application layer;

[0084] It should be noted that by integrating data twin technology, simulation analysis, and big data analysis, it has brought significant improvements to the informatization and intelligent development of substations. The construction of the data twin model can accurately simulate the real-time status and behavior of substation equipment in the virtual space, which provides a reliable basis for subsequent analysis and decision-making. Then, through the simulation analysis module, various operation scenarios and conditions are simulated to timely discover potential problems, and through the big data analysis module, a comparison is made with real-time operation data and historical data to accurately judge the fault situation. Once data exceeding the threshold is detected, the system can quickly activate the fault detection mechanism and generate a detailed fault information report, providing specific fault information and treatment suggestions for maintenance personnel. This not only improves the efficiency of fault handling but also reduces the impact of faults on substation operation. In addition, for the faults of the data twin model itself, a random search algorithm is used for parameter tuning to ensure that the model reaches the optimal state in terms of accuracy and stability. This automated parameter optimization method not only reduces the need for manual intervention but also improves the robustness and adaptability of the model.

[0085] S106: Application layer. The application layer receives the analysis results of the big data analysis module in the virtual layer, organizes them, and sends them to the user interface layer. Based on the analysis results, real-time fault diagnosis and early warning are carried out for the intelligent substation informatization standard system. The schematic diagram of the application layer is shown in Figure 5.

[0086] In the embodiment of this application, the application layer includes a real-time monitoring module, an intelligent control module, a fault early warning and diagnosis module, and an operation optimization module.

[0087] The application layer plays an important role in the intelligent substation informatization standard system. The application layer receives the analysis results of the big data analysis module in the virtual layer, and through the real-time monitoring module, intelligent control module, fault early warning and diagnosis module, and operation optimization module, it conducts all-round management and optimization of the substation. The application layer can real-time monitor the operation status of substation equipment, achieve intelligent control, timely discover and warn of potential faults, and at the same time provide operation optimization suggestions, so as to ensure the efficient, safe, and intelligent operation of the substation.

[0088] S108: User interface layer. The user interface layer receives data from the application layer and visually displays it to the user. The schematic diagram of the user interface layer is shown in Figure 6.

[0089] In the embodiment of this application, the user interface layer includes an interaction function and a visual interface.

[0090] Specifically, in the intelligent substation informatization standard system, the user interface layer is responsible for receiving data from the application layer and converting it into intuitive and easy-to-understand graphics, charts, and reports, which are presented to the user through interactive functions and visual interfaces. The user interface layer provides a friendly user interface, enabling users to conveniently monitor the real-time status of the substation, receive fault warning information, and interact efficiently with the system, thereby achieving intelligent management and control of the substation;

[0091] Preferably, there are bidirectional connections between each of the physical layer, data transmission layer, virtual layer, application layer, and user interface layer; the connection diagrams of each layer are as Figure 7 shown;

[0092] It should be noted that in the intelligent substation informatization standard system, the bidirectional connection design between the physical layer, data transmission layer, virtual layer, application layer, and user interface layer greatly improves the flexibility and response speed of the system. This design enables real-time interaction and feedback between each layer, ensuring accurate data transmission and efficient processing; through the bidirectional connection, the system can respond in real time to changes in the status of physical layer devices, adjust control strategies in a timely manner, achieve rapid fault warning and diagnosis, thereby improving the operation efficiency and safety of the substation; at the same time, the user interface layer can also receive data from the application layer in real time and present it to the user through a visual interface, providing an intuitive and convenient monitoring and management experience.

[0093] The above is a schematic solution of an intelligent substation informatization standard system based on digital twin technology in this embodiment. It should be noted that the technical solution of the device for calculating the cumulative climbing height belongs to the same concept as the technical solution of the above intelligent substation informatization standard system based on digital twin technology. For the details not described in detail in the technical solution of the device for calculating the cumulative climbing height in this embodiment, reference can be made to the description of the technical solution of the above intelligent substation informatization standard system based on digital twin technology.

[0094] This embodiment also provides a computing device applicable to the calculation of the cumulative climbing height, including:

[0095] A memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the intelligent substation informatization standard system based on digital twin technology as proposed in the above embodiment.

[0096] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the intelligent substation informatization standard system based on digital twin technology as proposed in the above embodiment.

[0097] The storage medium proposed in this embodiment and the information standard system of the intelligent substation based on the digital twin technology proposed in the above embodiment belong to the same inventive concept. For the technical details not described in detail in this embodiment, reference can be made to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0098] From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general-purpose hardware. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes a contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disc of a computer, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments of the present invention.

[0099] Embodiment 2

[0100] Referring to Table 1, an embodiment of the present invention provides an information standard system of an intelligent substation based on the digital twin technology. In order to verify its beneficial effects, experimental results are provided.

[0101] The information standard system based on the digital twin technology is applied to a certain substation, and the relevant data of the system successfully detecting equipment failures and automatically giving fault warnings and adjustments within a certain period of time are recorded.

[0102] The virtual layer receives the encrypted data from the data transmission layer. After decrypting and integrating the historical maintenance records of the substation equipment, it constructs a data twin model, uses the simulation analysis module to simulate the operation scenarios of the substation equipment, and compares the simulation results with the real-time and historical operation data of the substation obtained from the physical layer.

[0103] The system finds that there is a large gap between the operation data of a certain transformer and the simulation results, exceeding the preset threshold. Therefore, a fault detection mechanism is triggered. The data twin model deeply analyzes the data exceeding the threshold and transmits these data to the physical layer for verification. The verification result shows that it is an actual equipment failure, that is, the temperature of the transformer rises abnormally.

[0104] Based on historical maintenance records and simulation results, the big data analysis module generates a detailed fault information report and sends it to the user interface layer through the application layer for display. The report includes the fault time, location, type, as well as possible causes and impacts. The system automatically adjusts the operating parameters of the transformer, such as reducing the load and increasing heat dissipation, to slow down the development of the fault. Compared with traditional manual adjustment, the system's automatic adjustment is completed within seconds, greatly improving the adjustment speed and efficiency.

[0105] When a fault is detected in the virtual layer and it is verified with the physical layer that it is not a device fault, the system detects a decrease in the prediction accuracy of the digital twin model, with a large deviation from the actual device operating state.

[0106] Based on the search space of the learning rate, batch size, and regularization weight parameters of the digital twin model, the system uses a random search algorithm to randomly select parameter combinations. These parameter combinations are used to train the digital twin model, and the performance metrics of each training are recorded. After multiple iterative trainings, the system selects the parameter combination with the optimal performance as the best parameter combination.

[0107] Table 1 Results of Parameter Adjustment of the Digital Twin Model

[0108] Key parameters Value before adjustment Value after adjustment Learning rate 0.01 0.003 Batch size 128 64 Regularization weight 0.003 0.005

[0109] During the self-optimization process of the digital twin model, based on the search space of key parameters such as the learning rate, batch size, and regularization weight of the digital twin model, the system uses a random search algorithm to randomly select multiple groups of parameter combinations. These parameter combinations are then used to train the digital twin model, and the performance metrics of each training, such as prediction accuracy and loss function value, are recorded. Through multiple iterative trainings, the system can evaluate the impact of different parameter combinations on the model performance and select the parameter combination with the optimal performance as the best parameter combination.

[0110] As shown in Table 1, after system optimization, the key parameters of the digital twin model have been adjusted. The learning rate has been adjusted from 0.01 to 0.003, the batch size has been reduced from 128 to 64, and the regularization weight has been increased from 0.003 to 0.005. These adjustments aim to improve the prediction accuracy and generalization ability of the model, making it more accurately reflect the actual operating state of the device.

[0111] Therefore, when the virtual layer detects a decrease in the prediction accuracy of the digital twin model, the system can automatically activate the model self-optimization mechanism to improve the model performance by adjusting key parameters. This self-optimization ability not only ensures the high-precision prediction of the digital twin model but also improves the intelligent level and operating efficiency of the entire intelligent substation informatization standard system.

[0112] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered by the scope of the claims of the present invention.

Claims

1. A smart substation information standard system based on digital twin technology, characterized in that: include: A physical layer, through which the operation data of the substation is acquired in real time and sent to the data transmission layer; A data transmission layer, the data transmission layer receives the physical layer data and performs encryption processing, and transmits the encrypted data to the virtual layer; A virtual layer, wherein the virtual layer includes a data twin model construction module, a simulation analysis module and a big data analysis module. The virtual layer receives the encrypted data of the data transmission layer, and based on the encrypted data, uses the data twin model construction module to build a data twin model, and uses the simulation analysis module and the big data analysis module to perform simulation analysis and transmit the analysis results to the application layer.

2. The smart substation information standard system based on digital twin technology according to claim 1 is characterized in that: The physical layer includes, The physical layer includes a device module, a sensor module and an edge computing device; The sensor module is used to collect the operation data of the device module in real time, and the operation data of the device module is transmitted to the edge computing device. The edge computing device receives the data collected by the sensor module and performs processing and analysis. The edge computing device sends the processed and analyzed data to the transport layer, and transmits it to the virtual layer through the transport layer.

3. The smart substation information standard system based on digital twin technology according to claim 1 is characterized in that: The data transmission layer receives the physical layer data and performs encryption processing, including: The data transmission layer includes an industrial Ethernet module and a data encryption module; The data transmission layer receives the physical layer data through the industrial Ethernet module, performs data encryption processing on the physical layer data using the data encryption module, and then transmits the encrypted data to the virtual layer through the industrial Ethernet module.

4. The smart substation information standard system based on digital twin technology as claimed in claim 3 is characterized in that: The virtual layer includes, The output end of the data twin model construction module is connected to the input end of the simulation analysis module, and the output end of the simulation analysis module is connected to the input end of the big data analysis module.

5. The smart substation information standard system based on digital twin technology as claimed in claim 4 is characterized in that: The virtual layer data twin model building modules include: The virtual layer receives the encrypted data of the data transmission layer, decrypts it and obtains the decrypted data, integrates the decrypted data with the historical maintenance records of the substation equipment, and builds a data twin model corresponding to the physical entity in the virtual space based on the integrated data set; Based on the operation data of the substation acquired in real time at the physical layer, the data twin model is updated and adjusted in real time; Based on the data twin model, a simulation analysis module is used to simulate various operating scenarios and conditions of substation equipment and output simulation results. The simulation results are compared with the operating data of the substation and the historical data of the substation obtained in real time by the physical layer through the big data analysis module. If the difference between the simulation results and the operating data of the substation and the historical data of the substation obtained in real time by the physical layer exceeds the set threshold, the fault detection mechanism is triggered and the analysis results are generated.

6. The smart substation information standard system based on digital twin technology as claimed in claim 5 is characterized in that: The trigger fault detection mechanism includes: The data twin model analyzes the data exceeding the threshold and transmits the data exceeding the threshold to the physical layer for verification. If it is a substation equipment failure, a fault information report is generated through the big data analysis module based on the simulation results of the simulation analysis module and historical maintenance records; If the data twin model fails, a random search algorithm is used to randomly select parameter combinations based on the learning rate, batch size, and search space of regularization weight parameters of the data twin model, and the data twin model is trained with the parameter combinations to obtain the optimal parameter combination.

7. The smart substation information standard system based on digital twin technology according to claim 4 or 6, characterized in that: Virtual layer simulation analysis module and big data analysis module include: The simulation analysis module includes a real-time simulation module, a fault simulation module and a parameter optimization module; The big data analysis module includes a data acquisition module, a data storage module and a data analysis module; The big data analysis module transmits the analysis results to the application layer.

8. The smart substation information standard system based on digital twin technology as claimed in claim 7 is characterized in that: The big data analysis module transmits the analysis results to the application layer including: The application layer receives the analysis results of the big data analysis module of the virtual layer and organizes and sends them to the user interface layer. Based on the analysis results, the application layer performs real-time fault diagnosis and early warning on the smart substation information standard system; A user interface layer, which receives data from the application layer and displays it visually to the user; Each layer of the physical layer, data transmission layer, virtual layer, application layer and user interface layer is bidirectionally connected.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the smart substation information standard system based on digital twin technology as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, can implement the steps of the smart substation information standard system based on digital twin technology as described in any one of claims 1 to 7.

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