Power transformer magnetic field and electrical parameter monitoring method based on digital twinning

Abstract

The invention discloses a power transformer magnetic field and electrical parameter monitoring method based on digital twinning, and the method comprises the following steps: 1, building a simulation model of a transformer through MATLAB / Simulink according to a real object of the transformer; 2, selecting a USB acquisition card as acquisition equipment, and designing a corresponding acquisition program by using Labview; and step 3, selecting SIT as a joint simulation method, adding an alarm module and a digital display module in the joint simulation process to obtain the final magnetic field and electrical parameters of the power transformer based on digital twinning, and testing the accuracy and reliability of the digital twinning platform through a real object field experiment. Reference is provided for applying the digital twinning technology to power equipment fault detection, and the problems of misoperation and failure of a protection device caused by a current electrical quantity measurement method and offline data can be better solved through digital twinning, so that the working condition of a transformer can be better and truly reflected, and the stability of a power system is further maintained.

Description

Technical Field

[0001] This invention relates to the field of power transformer magnetic field and electrical parameter monitoring research, specifically to a method and application method for power transformer magnetic field and electrical parameter monitoring based on digital twins. Background Technology

[0002] The power system is the largest, most complex, technologically intensive, and most costly man-made composite system in the world's industrial history, representing one of the most brilliant achievements in human engineering science. Power transformers, an indispensable piece of equipment in the power system, play a crucial role in its stable operation. When a transformer fails, regardless of its high cost and time-consuming installation, the electrical load on related power lines will be severely affected, potentially leading to safety accidents, forced power outages for public utilities, and business shutdowns. This can result in huge economic losses and even significant social security risks. Therefore, real-time monitoring of transformer operation and early prediction of transformer failures by detecting relevant parameters are crucial for the stability of the power system.

[0003] Current electrical quantity measurement methods primarily utilize the change in electrical quantities after winding deformation to determine the winding condition and thus whether the transformer is abnormal. However, research methods for judging transformer condition based on electrical quantities are not yet mature, resulting in limited winding information obtainable through these measurements. Furthermore, most measured data relies on offline transformer data, but due to the complexity of power systems and the suddenness of anomalies, offline transformer parameters are insufficient to meet the growing demands for power grid safety and stability analysis. Therefore, it is difficult to guarantee that the measured data is within the allowable error range of real data, leading to malfunctions or failures of automatic protection devices, and failing to accurately reflect the transformer's operating condition. Therefore, the development of a more innovative, comprehensive, and accurate method for detecting transformer electrical parameters and magnetic fields is urgently needed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for monitoring the magnetic field and electrical parameters of power transformers based on digital twins. Digital twins can better solve the problems of malfunction and non-operation of protection devices caused by current electrical quantity measurement methods and offline data, thereby better reflecting the working condition of the transformer and maintaining the stability of the power system.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is: a method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twins, the innovation of which is that it includes the following steps.

[0007] The first step was to build a simulation model of the transformer using MATLAB / Simulink, based on the actual transformer.

[0008] The second step is to select a USB data acquisition card as the data acquisition device and design the corresponding data acquisition program using LabVIEW.

[0009] The third step involves selecting SIT as the co-simulation method and adding alarm and digital display modules during the co-simulation process to obtain the final magnetic field and electrical parameters of the power transformer based on digital twins.

[0010] Preferably, the digital twin is based on one of the following digital technologies: intelligent sensor technology, 5G communication, and simulation software, enabling real-time interaction, accurate mapping, and virtual-real iteration from physical to digital. The digital twin is a process of transforming and connecting the real world and virtual space.

[0011] Preferably, the digital twin includes a virtual model module, a physical entity module, and an interactive collaboration module, wherein the physical entity module and the interactive collaboration module exchange data, and the virtual model module and the interactive collaboration module exchange data.

[0012] Preferably, the digital twin platform built based on the digital twin includes the following steps:

[0013] First, a simulation model that can accurately reflect the real object is constructed, and the error rate between the simulation model and the real object is controlled within 10%.

[0014] Secondly, the acquisition program is used to obtain the corresponding parameters from the simulation model;

[0015] Finally, the data acquisition program and simulation model communicate with each other to obtain accurate simulation data based on the communication method.

[0016] Preferably, the simulation model and the real object exchange data and commands through bidirectional feedback based on data parameters acquired from the real object; the acquisition program and the real object provide one-way feedback from the real object to the acquisition program based on data acquired by sensors; and the acquisition program and the simulation model communicate and transmit data based on the communication method.

[0017] Preferably, the communication method is a full-duplex communication mode.

[0018] Preferably, the basic parameters of the physical object obtained by the simulation model include geometric parameters and rated parameters. The geometric parameters include the outer length of the iron core, the inner length of the iron core, the distance from the winding to the iron core column, the spacing between windings on the same side, the outer height of the iron core, the inner height of the iron core, the distance from the winding to the yoke, and the thickness of the iron core. The rated parameters include the rated power, rated frequency, primary side rated voltage, secondary side rated voltage, primary side rated current, secondary side rated current, short-circuit voltage percentage, no-load current percentage, number of primary side turns, and number of secondary side turns.

[0019] Preferably, the verification between the simulation model and the physical object includes no-load operation verification, short-circuit operation verification, and load operation verification.

[0020] Compared with the prior art, the present invention has the following beneficial effects.

[0021] The advantages of this invention are as follows: A digital twin platform for a power transformer is constructed. First, a simulation model of the transformer is built using MATLAB / Simulink based on the physical transformer. Then, a USB data acquisition card is selected as the data acquisition device, and a corresponding acquisition program is designed using LabVIEW. Finally, among various co-simulation technologies, SIT (System-In-Time) is selected as the most suitable co-simulation method, and an alarm program is added to the co-simulation program. The accuracy and reliability of the digital twin platform are tested through on-site experiments, providing a reference for the application of digital twin technology in power equipment fault detection. Digital twins can better address the malfunctions and non-operations of protection devices caused by current electrical quantity measurement methods and offline data, thus providing a more realistic reflection of the transformer's operating status and maintaining the stability of the power system. Detailed Implementation

[0022] This invention discloses a digital twin-based method for monitoring the magnetic field and electrical parameters of a power transformer, characterized by the following steps: First, a simulation model of the transformer is built using MATLAB / Simulink based on the physical transformer. Second, a USB data acquisition card is selected as the data acquisition device, and a corresponding data acquisition program is designed using LabVIEW. Third, SIT (Sequential Interaction Technology) is selected as the co-simulation method, and an alarm module and a digital display module are added during the co-simulation process to obtain the final magnetic field and electrical parameters of the power transformer based on the digital twin. The construction of a digital twin platform for a power transformer involves: first, building a simulation model of the transformer using MATLAB / Simulink based on the physical transformer; then, selecting a USB data acquisition card as the data acquisition device and designing a corresponding data acquisition program using LabVIEW; finally, selecting SIT as the most suitable co-simulation method among various co-simulation techniques and adding an alarm program to the co-simulation program. The accuracy and reliability of the digital twin platform were tested through on-site experiments, providing a reference for the application of digital twin technology in power equipment fault detection. Digital twins can better address the malfunctions and failures of protection devices caused by current electrical quantity measurement methods and offline data, thereby providing a more accurate reflection of the transformer's operating status and ultimately maintaining the stability of the power system.

[0023] The aforementioned digital twin, based on one of the following digital technologies—intelligent sensor technology, 5G communication, and simulation software—enables real-time interaction, accurate mapping, and virtual-real iteration from physical to digital. The digital twin is a process of transforming and connecting the real world and virtual space. It includes a virtual model module, a physical entity module, and an interactive collaboration module. Data exchange occurs between the physical entity module and the interactive collaboration module, and between the virtual model module and the interactive collaboration module. A digital twin platform built upon this digital twin includes the following steps: First, constructing a simulation model that accurately reflects the real-world object, with the error rate between the simulation model and the real object controlled within 10%; second, acquiring relevant parameters from the simulation model using a data acquisition program; and finally, communicating data between the acquisition program and the simulation model to obtain accurate simulation data using a communication method.

[0024] The simulation model and the real object exchange data and commands through bidirectional feedback based on the data parameters acquired from the real object. The acquisition program and the real object provide one-way feedback from the real object to the acquisition program based on data collected by sensors. The acquisition program and the simulation model communicate and transmit data based on the communication method, which is a full-duplex communication mode.

[0025] The simulation model described above acquires basic parameters of the physical object, including geometric parameters and rated parameters. The geometric parameters include the outer length of the core, the inner length of the core, the distance from the winding to the core column, the spacing between windings on the same side, the outer height of the core, the inner height of the core, the distance from the winding to the yoke, and the core thickness. The rated parameters include rated power, rated frequency, primary-side rated voltage, secondary-side rated voltage, primary-side rated current, secondary-side rated current, short-circuit voltage percentage, no-load current percentage, number of primary-side turns, and number of secondary-side turns. Verification between the simulation model and the physical object includes no-load operation verification, short-circuit operation verification, and load operation verification.

[0026] When the simulation model and the actual physical object operate together, the simulated power transformer's magnetic field and electrical parameters deviate too much from the rated parameters, which can trigger the normal operation of the protection device; it can also predict the subsequent operating status of the actual physical object, thus better reflecting the transformer's working condition.

[0027] Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the invention document are merely illustrative of the principles of the invention. Various changes and modifications can be made to this invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twins, characterized in that: The following steps are included: The first step was to build a simulation model of the transformer using MATLAB / Simulink, based on the actual transformer. The second step is to select a USB data acquisition card as the data acquisition device and design the corresponding data acquisition program using LabVIEW. The third step involves selecting SIT as the co-simulation method and adding alarm and digital display modules during the co-simulation process to obtain the final magnetic field and electrical parameters of the power transformer based on digital twins.

2. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 1, characterized in that: The digital twin is based on one of the following digital technologies: intelligent sensor technology, 5G communication, and simulation software, enabling real-time interaction, accurate mapping, and virtual-real iteration from physical to digital. The digital twin is a process of transforming and connecting the real world and virtual space.

3. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 2, characterized in that: The digital twin includes a virtual model module, a physical entity module, and an interactive collaboration module. Data is exchanged between the physical entity module and the interactive collaboration module, and between the virtual model module and the interactive collaboration module.

4. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 2, characterized in that: The digital twin platform built based on the aforementioned digital twin includes the following steps: First, a simulation model that can accurately reflect the real object is constructed, and the error rate between the simulation model and the real object is controlled within 10%. Secondly, the acquisition program is used to obtain the corresponding parameters from the simulation model; Finally, the data acquisition program and simulation model communicate with each other to obtain accurate simulation data based on the communication method.

5. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 4, characterized in that: The simulation model and the real object exchange data and commands through bidirectional feedback based on the data parameters acquired from the real object. The acquisition program and the real object provide one-way feedback from the real object to the acquisition program based on data collected by sensors. The acquisition program and the simulation model communicate and transmit data based on the communication method.

6. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 5, characterized in that: The communication method is a full-duplex communication mode.

7. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 1, characterized in that: The simulation model obtains basic parameters of the physical object, including geometric parameters and rated parameters. The geometric parameters include the outer length of the iron core, the inner length of the iron core, the distance from the winding to the iron core column, the spacing between windings on the same side, the outer height of the iron core, the inner height of the iron core, the distance from the winding to the yoke, and the thickness of the iron core. The rated parameters include the rated power, rated frequency, primary side rated voltage, secondary side rated voltage, primary side rated current, secondary side rated current, short-circuit voltage percentage, no-load current percentage, number of primary side turns, and number of secondary side turns.

8. The method for monitoring the magnetic field and electrical parameters of a power transformer based on digital twin as described in claim 7, characterized in that: The verification between the simulation model and the physical object includes no-load operation verification, short-circuit operation verification, and load operation verification.