Mutual inductor control method and device, terminal equipment and storage medium
By simulating the physical transformers in the power system and adjusting the performance data, the problem of low monitoring and management capabilities of power equipment is solved, and the effect of reducing failure rate and operation and maintenance costs is achieved.
Patent Information
- Application Number
- CN202411165055.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-23
- Publication Date
- 2024-12-31
AI Technical Summary
The monitoring and management capabilities of power equipment in existing power systems are low, resulting in high operation and maintenance costs, large manpower investment, low work efficiency and resource utilization, and the inability to monitor all power equipment in real time, making it difficult to avoid sudden failures of power equipment.
By simulating the entity transformer, the initial performance data and transformer model are determined, simulation data is generated, target performance data is adjusted to avoid fault characteristics, and control data is generated to control the entity transformer to ensure that it operates in a safe state.
It effectively reduces the probability of physical transformers failing, reduces the frequency of manual inspection and maintenance, reduces operation and maintenance costs and manpower investment, and improves work efficiency and resource utilization.
Smart Images
Figure CN119226974A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application belong to the field of electric power technology, and in particular, relate to a transformer control method, device, terminal equipment and storage medium. Background Art
[0002] The power system is an electric energy production and consumption system consisting of power plants, power transmission and transformation lines, power distribution stations and power consumption. Its function is to convert primary energy from nature into electric energy through power generation devices, and then supply the electric energy to various users through transmission, transformation and distribution.
[0003] At present, the monitoring and management capabilities of power equipment in the power system are unstable and usually require manual inspections. When the maintenance frequency is high, high operation and maintenance costs and manpower investment are required, and work efficiency and resource utilization are low. In addition, since manual inspections cannot monitor all power equipment in real time, it is difficult to avoid sudden failures of power equipment.
[0004] Therefore, there is an urgent need to improve the operation and maintenance efficiency of power equipment. Summary of the invention
[0005] In view of this, an embodiment of the present application provides a transformer control method, apparatus, terminal device and storage medium, which are used to simulate the transformer model corresponding to the physical transformer before controlling the physical transformer, and control the physical transformer when the simulation data does not meet the fault state, so as to prevent the physical controller from being directly controlled without simulation processing to affect the operation of the physical transformer, thereby improving the operation and maintenance efficiency of the physical transformer.
[0006] A first aspect of an embodiment of the present application provides a mutual inductor control method, including:
[0007] Determining initial performance data of a physical transformer and a transformer model corresponding to the physical transformer;
[0008] Using the mutual inductor model to simulate the initial performance data to generate first simulation data;
[0009] In the case where the first simulation data meets the fault characteristics, generating target performance data according to the initial performance data;
[0010] Using the mutual inductor model to simulate the target performance data to generate second simulation data;
[0011] generating control data matching the target performance data when the second simulation data does not satisfy the fault characteristics;
[0012] The physical transformer is controlled according to the control data.
[0013] A second aspect of an embodiment of the present application provides a transformer control device, including:
[0014] A physical transformer determination module, used to determine initial performance data of a physical transformer and a transformer model corresponding to the physical transformer;
[0015] A first simulation data generating module, configured to simulate the initial performance data using the mutual inductor model to generate first simulation data;
[0016] a target performance data generating module, configured to generate target performance data according to the initial performance data when the first simulation data satisfies the fault characteristics;
[0017] A second simulation data generating module, configured to simulate the target performance data using the mutual inductor model to generate second simulation data;
[0018] A control data generating module, configured to generate control data matching the target performance data when the second simulation data does not satisfy the fault characteristics;
[0019] A control module is used to control the physical transformer according to the control data.
[0020] A third aspect of an embodiment of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the mutual inductor control method as described in the first aspect above is implemented.
[0021] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the mutual inductor control method as described in the first aspect above is implemented.
[0022] A fifth aspect of the embodiments of the present application provides a computer program product. When the computer program product is run on a computer, the computer executes the mutual inductor control method described in the first aspect.
[0023] Compared with the prior art, the embodiments of the present application have the following beneficial effects:
[0024] In an embodiment of the present application, initial performance data of a physical transformer and a transformer model corresponding to the physical transformer are determined; the initial performance data is simulated using the transformer model to generate first simulation data; when the first simulation data meets the fault characteristics, target performance data is generated according to the initial performance data; the target performance data is simulated using the transformer model to generate second simulation data; when the second simulation data does not meet the fault characteristics, control data matching the target performance data is generated; the physical transformer is controlled according to the control data, so that the initial performance data is simulated before the physical transformer is controlled, and when it is determined that the physical transformer will fail when operating in accordance with the initial performance data, the initial performance data is adjusted to the target performance data, and when the second simulation data corresponding to the target performance data does not meet the fault characteristics, the physical transformer is controlled according to the control data matching the target performance data, so as to avoid directly controlling the physical transformer based on the initial performance data, and effectively reduce the probability of failure of the physical transformer. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0026] Figure 1 is a schematic diagram of a mutual inductor control method provided in an embodiment of the present application;
[0027] Figure 2 is a schematic diagram of a mutual inductor control device provided in an embodiment of the present application;
[0028] Figure 3 It is a schematic diagram of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0029] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0030] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.
[0031] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0032] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.
[0033] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.
[0034] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0035] The technical solution of the present application is described below through specific embodiments.
[0036] Reference Figure 1 , shows a schematic diagram of a mutual inductor control method provided in an embodiment of the present application, which may specifically include the following steps:
[0037] Step 101, determining initial performance data of a physical transformer and a transformer model corresponding to the physical transformer;
[0038] The power network can be used to transmit electric energy, such as transmitting the electric energy output by a thermal power generator. The mutual inductor is arranged in the power network and is used to measure the power parameters of the circuit in which it is located. The mutual inductor includes a voltage transformer and a current transformer. Taking the voltage transformer as an example, the power network usually transmits electric energy at a high voltage, and the voltage transformer is used to step down the high voltage to a low voltage for measurement. The specific voltage value of the high voltage of the circuit in which the voltage transformer is located can be obtained by measuring the low voltage. In an embodiment of the present application, the physical mutual inductor is a real mutual inductor specifically arranged in the power network. The mutual inductor model is a virtual model constructed for the physical mutual inductor. The corresponding mutual inductor parameters and operating environment parameters (for example: information related to the circuit to be measured by the physical mutual inductor) can be set for the mutual inductor model to realize the simulation of the physical mutual inductor.
[0039] Since both the voltage transformer and the current transformer are designed based on the principle of electromagnetic induction, the embodiment of the present application is described using the physical transformer as a voltage transformer. Based on the technical solution disclosed in the present application, those skilled in the art can at least partially apply it to the scenario where the physical transformer is a current transformer.
[0040] The physical transformers may be identified to distinguish different physical transformers, and the transformer models corresponding to the physical transformers may be associated.
[0041] Step 102, simulating the initial performance data using the mutual inductor model to generate first simulation data;
[0042] The performance data of the transformer include rated capacity, rated voltage and accuracy. The initial performance data may be the performance data that needs to be simulated. Different initial performance data may have differences in one or more of the rated capacity, rated voltage and accuracy.
[0043] As an example, the initial performance data may be performance data that has not been actually applied. For example, if the performance data of a physical transformer in the power network needs to be adjusted, the initial performance data may be customized. By simulating the initial performance data, the feasibility of adjusting the corresponding physical transformer according to the initial performance data may be verified, and it may be determined whether a failure will occur when adjusting the physical transformer according to the initial performance data.
[0044] As another example, the initial performance data may be the performance data of a physical transformer at a certain historical time. By simulating the historical performance data, the operating state, fault cause, etc. of the physical transformer at the historical time may be analyzed and identified.
[0045] The initial performance data and the transformer model are used for simulation, and the data output by the transformer model is determined as the first simulation data. The first simulation data may include but is not limited to voltage data, and the voltage data may be output in the form of discrete data and / or a curve graph (waveform graph).
[0046] Step 103, generating target performance data according to the initial performance data when the first simulation data meets the fault characteristics;
[0047] If the first simulation data meets the fault characteristics, it means that if the physical transformer operates while matching the initial performance data, a fault will occur. In order to avoid the physical transformer from failing, the initial performance data is modified to obtain the target performance data, and a simulation test is performed on the target performance data.
[0048] In a specific implementation, the rated capacity, rated voltage and accuracy may be preset with corresponding value ranges, and the target performance data may satisfy each value range.
[0049] In practical applications, the above-mentioned value range can be set in advance for each physical transformer, or can be set according to historical relevant data of the physical transformer. The embodiment of the present application does not limit the method for determining the above-mentioned value range.
[0050] Step 104, simulating the target performance data using the mutual inductor model to generate second simulation data;
[0051] The target performance data obtained after adjustment based on the initial performance data and the transformer model are used for simulation to obtain second simulation data, and it is determined whether the physical transformer will fail if the physical transformer is controlled according to the target performance data, thereby determining whether the physical transformer can operate while matching the target performance data.
[0052] Step 105, generating control data matching the target performance data when the second simulation data does not satisfy the fault characteristics;
[0053] If the second simulation data does not meet the fault characteristics, no fault will occur when the physical transformer group operates in a condition matching the target performance data, and control data matching the target performance data is generated. The control data may include one or more control instructions.
[0054] Step 106: Control the physical transformer according to the control data.
[0055] By controlling the physical transformer according to the control data, no malfunction occurs when the physical transformer responds to the control data and operates in a state matching the target performance data.
[0056] In a specific implementation, control data can be sent to a physical transformer by remote transmission to realize control of a remote physical transformer, thereby avoiding the situation in related technologies where the physical transformer can only be operated and controlled manually on site. The embodiments of the present application improve the efficiency of control, operation and maintenance of the physical transformer.
[0057] In the related art, since the physical transformer is directly controlled according to the control data matching the initial performance data without simulation verification of the initial performance data, it is easy to cause the physical transformer to malfunction. In an embodiment of the present application, initial performance data of a physical transformer and a transformer model corresponding to the physical transformer are determined; the initial performance data is simulated using the transformer model to generate first simulation data; when the first simulation data meets the fault characteristics, target performance data is generated based on the initial performance data; the target performance data is simulated using the transformer model to generate second simulation data; when the second simulation data does not meet the fault characteristics, control data matching the target performance data is generated; the physical transformer is controlled according to the control data, so that the initial performance data is simulated before the physical transformer is controlled, and when it is determined that the physical transformer will fail when operating in accordance with the initial performance data, the initial performance data is adjusted to the target performance data, and when the second simulation data corresponding to the target performance data does not meet the fault characteristics, the physical transformer is controlled according to the control data matching the target performance data, so as to avoid directly controlling the physical transformer based on the initial performance data, thereby effectively reducing the probability of failure of the physical transformer.
[0058] For occasions with higher voltage levels, the capacity of voltage transformers is larger, and its related experiments are more difficult and dangerous. Through simulation experiments, the experimental verification can be completed better at a lower cost, so that the frequency of manual inspections and maintenance can be reduced in fault diagnosis and prediction and manual maintenance work, the operation and maintenance costs and manpower input can be reduced, and work efficiency and resource utilization can be improved.
[0059] In some optional embodiments of the present application, when the first simulation data does not meet the fault characteristics, control data matching the initial performance data is generated, and the physical transformer is controlled according to the control data. When the first simulation data does not meet the fault characteristics, it means that the physical transformer can operate without fault when matching the initial performance data, and control data matching the initial performance data can be generated to control the physical transformer.
[0060] The fault characteristics include steady-state saturation characteristics and transient saturation characteristics; the target performance data can be obtained by adjusting the initial performance data, and the saturation behavior of the physical transformer can be predicted by simulating the target performance data. In some optional embodiments of the present application, the initial performance data includes an initial rated voltage value, and step 103 includes: if the first simulation data meets the steady-state saturation characteristics, determining a target rated voltage greater than the initial rated voltage; generating target performance data based on the target rated voltage; if the first simulation data meets the transient saturation characteristics, determining a target rated voltage less than the initial rated voltage; generating target performance data based on the target rated voltage.
[0061] When other conditions except the rated voltage remain unchanged, a rated voltage that is too small may cause a steady-state saturation fault in the voltage transformer. Therefore, if the first simulation data meets the steady-state saturation characteristics, the target rated voltage is obtained by increasing the initial rated voltage in the initial performance data, and the target performance data is generated based on the target rated voltage. The target performance data is simulated to determine whether the second simulation data still meets the steady-state saturation characteristics.
[0062] When other conditions except the rated voltage remain unchanged, an excessively high rated voltage may cause a steady-state saturation fault in the voltage transformer. Therefore, if the first simulation data meets the transient saturation characteristics, the target rated voltage is obtained by reducing the initial rated voltage in the initial performance data, and the target performance data is generated based on the target rated voltage. The target performance data is simulated to determine whether the second simulation data still meets the transient saturation characteristics.
[0063] The initial rated voltage can be adjusted according to a preset adjustment method (for example, a certain adjustment step is set) to obtain the target rated voltage, and the adjusted target rated voltage needs to meet the above-mentioned value range. For example: the initial performance data can be obtained from the historical performance data of the physical transformer, and the characteristic values of the rated capacity and rated voltage are determined by the historical performance data, and the corresponding value range and adjustment method are determined based on the characteristic values. The characteristic values include but are not limited to the maximum value, the minimum value, and the average value.
[0064] In some optional embodiments of the present application, after generating the first simulation data, the method further includes: performing spectrum analysis on the first simulation data to generate analysis data; if the proportion of the first characteristic harmonic in the analysis data is greater than a proportion threshold, determining that the first simulation data satisfies the steady-state saturation characteristic; if the proportion of the second characteristic harmonic in the analysis data is greater than a proportion threshold, determining that the first simulation data satisfies the transient saturation characteristic; wherein the first characteristic harmonic includes at least one of the 3rd harmonic, the 5th harmonic, and the 7th harmonic; and the second characteristic harmonic includes at least one of the DC harmonic and the 2nd harmonic.
[0065] In an embodiment of the present application, a spectrum analysis can be performed on the first simulation data to determine whether the first simulation data satisfies a steady-state saturation characteristic or a transient saturation characteristic. The analysis data obtained by the spectrum analysis can be determined, and different voltage harmonics and the proportion of each voltage harmonic relative to the fundamental wave (standard frequency) are recorded in the analysis data.
[0066] If the analysis data shows that the proportion of at least one of the 3rd harmonic, 5th harmonic, and 7th harmonic is greater than the proportion threshold, that is, one of the 3rd harmonic, 5th harmonic, and 7th harmonic among various voltage harmonics has the largest proportion, then it is determined that the first simulation data meets the steady-state saturation characteristics.
[0067] If the analysis data shows that the proportion of at least one of DC harmonics and 2nd harmonics is greater than the proportion threshold, that is, one of DC harmonics and 2nd harmonics has the largest proportion among various voltage harmonics, it is determined that the first simulation data meets the transient saturation characteristics.
[0068] In an embodiment of the present application, the process of determining whether the second simulation data satisfies the steady-state saturation characteristics or the transient saturation characteristics is similar to the above-mentioned process of determining whether the first simulation data satisfies the steady-state saturation characteristics or the transient saturation characteristics. The difference is that the analysis data is obtained by performing spectral analysis on the second simulation data, which will not be repeated here.
[0069] In some optional embodiments of the present application, after generating the second simulation data, the method further includes: when the second simulation data satisfies the fault characteristics, updating the target performance data according to the fault characteristics, and returning to the step of simulating the target performance data using the mutual inductor model.
[0070] When the second simulation data meets the fault characteristics, it indicates that the target performance data still needs to be adjusted, and the target performance data is updated in a preset manner, for example: further increasing or decreasing the target rated voltage to obtain a new target rated voltage to update the target performance data, and returning to step 104, so as to gradually adjust the target performance data and determine better target performance data.
[0071] In an embodiment of the present application, target performance data including a target rated voltage is determined based on an initial rated voltage, and when the physical transformer is controlled according to control data matching the target performance data, the rated voltage of the physical transformer during operation is made to be the target rated voltage. In a specific implementation, the rated voltage of the physical transformer can be adjusted by adjusting the rated capacity in the physical transformer, that is, the control data is used to control the rated capacity of the physical transformer.
[0072] In some optional embodiments of the present application, the method also includes: using the transformer model to simulate multiple preset accuracy levels to generate third simulation data corresponding to each preset accuracy level; determining the optional accuracy level corresponding to the third simulation data that does not meet the fault characteristics; controlling the physical transformer to measure the preset power supply according to each optional accuracy level to generate measurement data; determining the target accuracy level according to the difference between the measurement data and the standard data corresponding to the preset power supply; and controlling the physical transformer according to the target accuracy level.
[0073] In practical applications, the accuracy level of the voltage transformer (for example, the accuracy can be 0.1, 0.2, 0.5, 1.0, etc.) and the rated voltage will jointly affect its operating stability. Therefore, when adjusting the accuracy of the voltage transformer, it is also necessary to ensure that the voltage transformer will not fail. Therefore, the corresponding third simulation data can be obtained by simulating multiple preset accuracy levels, and the optional accuracy level corresponding to the third simulation data that does not meet the fault characteristics can be screened out, indicating that when the voltage transformer is operated at the optional accuracy level, no failure will occur, and then the target accuracy level of the physical transformer operation can be determined in the optional accuracy level. The preset power supply can be the power supply of the circuit where the physical transformer is located. The physical transformer is controlled to measure the preset power supply according to each optional accuracy level, generate measurement data, compare the difference between the measurement data and the standard data, and determine the target accuracy level according to the difference corresponding to different accuracy levels. After determining the target accuracy level, the physical transformer is controlled according to the target accuracy level so that the physical transformer works at the target accuracy level to improve the measurement accuracy of the voltage transformer.
[0074] In some optional embodiments of the present application, determining the target accuracy level according to the difference between the measured data and the preset standard data includes:
[0075] For each of the optional accuracy levels, calculate the mean error between the measurement data and the standard data corresponding to each of the preset power supplies; determine the optional accuracy level corresponding to the minimum value of the mean error as the target accuracy level.
[0076] In practical applications, the voltage value output by the preset power supply can be adjusted to obtain different standard data. For each optional accuracy level, the error value between the measured data and the standard data is determined when the physical transformer measures different preset voltages, and the average value of the error values corresponding to each different preset power supply is calculated as the error mean. The minimum error mean value indicates that when the physical transformer is operated at this optional accuracy level, the measurement error of the preset power supply is the smallest. Therefore, the optional accuracy level corresponding to the minimum error mean value can be determined as the target accuracy level, and then the physical transformer can be controlled to operate at the target accuracy level to reduce the measurement error of the voltage transformer.
[0077] In some optional embodiments of the present application, the transformer model is deployed in a remote device; the remote device is connected to a plurality of the physical transformers, and the initial performance data is collected by sensors between the remote device and the physical transformers.
[0078] The simulation environment can be set up by following the steps below. The simulation environment consists of the above remote devices and physical transformers:
[0079] (1) Modeling:
[0080] Use simulation tools to build a simulation model of the voltage transformer. In this model, the behavior and characteristics of the voltage transformer are simulated, and the CAN bus communicates through the MODBUS protocol to achieve mutual communication with the sensor.
[0081] (2) Hardware design and construction:
[0082] Select sensors suitable for the application scenario, and design measurement circuits and communication interface circuits according to the working principles of the sensors, including analog circuits, ADC conversion circuits, CAN controllers, etc. Convert circuit design drawings into actual hardware systems to build the hardware foundation of remote devices.
[0083] (3) Software Development and Programming:
[0084] Select the development platform and tools, use computer programming language to write programs, implement the functions of voltage measurement, data processing, and Modbus-CAN communication protocol, determine the appropriate Modbus and CAN communication library files, and integrate them into the development environment.
[0085] (4) Signal simulation
[0086] In the simulation environment, it is necessary to simulate the differential signal voltage amplitude, which is the basis of CAN communication. When the two signal lines CAN_H and CAN_L are static, they are both around 2.5V, indicating logic 1, which is called recessive state; when CAN_H is higher than CAN_L, it indicates logic 0, which is called dominant state.
[0087] (5) System integration and debugging:
[0088] Connect the designed hardware to the development board or embedded system to ensure that all components can work properly. Write test programs to verify whether the Modbus-CAN communication protocol is implemented correctly and ensure that data can be correctly transmitted between devices. Debug the entire simulation system (including remote devices and physical transformers), including circuit stability, sensor accuracy, and communication protocol reliability.
[0089] (6) Functional verification and performance testing:
[0090] Ensure that the voltage transformer can accurately measure voltage and transmit data to other devices through communication protocols. Test the performance of the voltage transformer, including accuracy, response speed, temperature stability and other indicators.
[0091] (7) System deployment and application:
[0092] Build a CAN communication network to ensure that the voltage transformer simulation equipment can communicate with other equipment monitoring systems, data acquisition systems, etc.
[0093] Implement the Modbus-CAN communication protocol stack, including the implementation of Modbus function codes, encapsulation and parsing of CAN frames, etc.
[0094] Through the above method, the remote device is connected to the physical mutual inductor through the sensor, and the simulation model of the physical mutual inductor is deployed in the remote device.
[0095] Among them, the above sensors include voltage sensors and temperature sensors. The voltage sensor can sense the measured voltage and convert it into a usable output signal. It can track and collect the high-speed changing AC and DC voltage signals, perform spectrum analysis on more complex voltage waveforms, and transmit the collected data to the real-time monitoring and control components of the simulation environment through the communication network. The voltage sensor measures the AC level and / or DC voltage level. The input of the voltage sensor technology is the voltage itself, and the output can be an analog voltage signal, a switch, an audible signal, an analog current level, a frequency, and a frequency modulated output. The voltage sensor technology provides a sine or pulse train as an output for spectrum analysis, and others can produce amplitude modulation, pulse width modulation or frequency modulation output.
[0096] Temperature sensors can convert temperature into usable output signals. The temperature sensor uses the working principle of thermocouples to intelligently collect voltage transformer temperature in real time, and transmits the collected temperature data to the real-time monitoring and control components deployed in remote devices through the communication network. Temperature sensor technology senses temperature and converts it into a usable output signal. By integrating thermocouple sensors, thermistor sensors, resistance temperature detectors and IC temperature sensors, the IC temperature sensor includes both analog output and digital output, it improves the accuracy of voltage transformer temperature collection and ensures the normal operation of the voltage transformer.
[0097] The sensor transmits the collected data voltage, temperature and analysis report to the real-time monitoring and control components through the constructed Modbus-CAN communication network.
[0098] The real-time detection and control component has the following functions:
[0099] (1) The detected voltage and temperature values and analysis reports are transmitted to the control module via the Modbus-CAN communication network. The control module uses the obtained values, detection reports and analysis reports to remotely control the voltage transformer via the Modbus-CAN communication network.
[0100] (2) Use the linear regression model to establish the mapping relationship between current and voltage, and calculate the voltage value based on the measured current. Through regression analysis, establish the voltage curve, reduce the noise interference of the power equipment in the system through the least squares method, and use the large amount of voltage data collected from the power equipment to reduce the error in voltage accuracy. Basic error verification is the core content of voltage transformer detection. The basic error is calculated by comparing the difference between the standard voltage source and the output voltage of the voltage transformer under test. During the verification process, the accuracy of the standard voltage source should be ensured and the verification method should be followed. If the basic error exceeds the allowable range, the voltage transformer should be adjusted or replaced. The frequency characteristics of the voltage transformer reflect its measurement performance at different frequencies. In the frequency characteristic verification, the voltage transformer should be tested using standard voltage sources of different frequencies, and the changes in the output voltage should be recorded. By analyzing the test results, it is determined whether the voltage transformer meets the specified frequency characteristic requirements.
[0101] Linear range verification is used to verify the measurement accuracy of voltage transformers under different input voltages. During the verification process, standard voltage sources with different amplitudes should be used to test the voltage transformer and record the changes in the output voltage. By analyzing the test results, it is determined whether the voltage transformer meets the specified linear range requirements.
[0102] Phase difference verification is used to measure the phase difference between the output voltage of the voltage transformer and the standard voltage source. During the verification process, the voltage transformer should be tested with a phase meter and the phase difference data should be recorded. By analyzing the test results, it can be determined whether the voltage transformer meets the specified phase difference requirements.
[0103] Load characteristic verification is used to verify the measurement performance of the voltage transformer under different loads. During the verification process, the voltage transformer should be tested with loads of different resistance values, and the changes in the output voltage should be recorded. By analyzing the test results, it is determined whether the voltage transformer meets the specified load characteristic requirements. Insulation resistance verification is used to evaluate the insulation performance of the voltage transformer. During the verification process, the voltage transformer should be tested with an insulation resistance tester and the insulation resistance value should be recorded. By analyzing the test results, it is determined whether the voltage transformer meets the specified insulation resistance requirements.
[0104] (3) The voltage transformer voltage control uses the voltage value detected by the detection module to control the current size to control the voltage. The basic idea of hysteresis current control is to give a three-phase current signal and compare it with the three-phase current measured by the current sensor. The difference is used to control the power switch through the hysteresis comparator to make the actual current value track the reference current value. The hysteresis current passing through the voltage transformer controls the power and then controls the voltage size.
[0105] Real-time control, regulation and protection of voltage transformers. Voltage transformers monitor the operating status of voltage transformers in real time through sensors and data processing units, including voltage, current, temperature and other parameters. According to different power systems and operating requirements, the output of voltage transformers is automatically adjusted to keep them working stably within the set range. Once an abnormality or failure of the voltage transformer is found, an early warning signal is immediately triggered and protective measures such as local power outages are taken.
[0106] The remote device also has an intelligent fault diagnosis and prediction component, which has the following functions:
[0107] (1) Receive voltage, current, temperature and other data from sensors. Based on the received data, perform data analysis and processing on the collected data. Set thresholds on the voltage, current and temperature data. If the collected data is lower than or higher than the threshold, diagnose it as a fault. If the operating state of the inductor transformer is unstable, diagnose it as a fault. The fault information is transmitted to the user through the bus. The user can take corresponding measures based on the alarm information. Design a user interaction interface to facilitate users to view the operating state and fault information of the voltage transformer.
[0108] (2) Collect data such as voltage, current, and temperature of industrial equipment through sensors, track devices that exceed the data set threshold, and use regression analysis to determine whether the device is in a stable operating state. The data curve is obtained through regression analysis. If the data curve is a relatively parallel line, it is temporarily shelved. If the data curve is a curve with large up and down fluctuations, or a straight line with a large absolute slope, the device is defined as a faulty device, find the possible fault nodes, and transmit the fault information to the user interface.
[0109] (3) The diagnosed voltage transformer status and diagnostic report are transmitted to the management terminal via the Modbus-CAN communication network. The management terminal uses the Modbus-CAN communication network to remotely control the voltage transformer based on the obtained voltage transformer status and diagnostic report.
[0110] The above Modbus-CAN communication network is specifically to build a CAN communication network to ensure that the voltage transformer simulation equipment can communicate with other equipment monitoring systems and data acquisition systems. The Modbus protocol can be converted to the CAN bus to achieve communication between the bus and the equipment. The outstanding reliability, real-time and flexibility of CAN bus data communication, as well as the long remote transmission distance of the CAN bus, the CAN node has the function of automatically shutting down the bus and cutting off its connection with the bus in the case of serious errors, ensuring that other operations on the bus are not affected, etc., to improve the remote monitoring and management capabilities of the voltage transformer.
[0111] A protocol conversion module is provided between the remote device and the sensor to ensure the normal operation of the Modbus-CAN communication network. Specifically, a Modbus input data frame or a Modbus output data frame includes an address, an operation code, and a plurality of Modbus data elements, and a cyclic redundancy check code (CRC) is added thereto.
[0112] When the protocol conversion module converts the received CAN input data frame into a Modbus output data frame, the address of the Modbus output data frame is generated based on the CAN identifier in the CAN input data frame; multiple Modbus data units of the Modbus output data frame are generated based on the multiple CAN data units in the CAN input data frame; an operation code of the Modbus output data frame and a transmission purpose that conforms to the CAN input data frame are generated; multiple data units of the Modbus output data frame are generated based on the multiple CAN data units in the input data frame; the operation code of the Modbus output data frame is generated to conform to the CRC code of the Modbus input data frame; the generated address, multiple generated Modbus data units, the generated operation code, and the generated CRC code are sequentially combined in accordance with the Modbus format, thereby outputting the Modbus output data frame.
[0113] When converting the received Modbus input data frame into a CAN output data frame, the protocol conversion module maps the address in the Modbus input data frame to the CAN identifier of the CAN output data frame; maps multiple Modbus data units in the Modbus input data frame into multiple CAN data units; calculates the number of bytes of multiple Modbus data units in the Modbus input data and defines the calculated data as the data length code of the CAN output data frame, thereby generating a CAN output data frame.
[0114] The above operations realize the communication between Modbus and CAN bus and the interaction between the mutual inductor and the remote device.
[0115] In some optional embodiments of the present application, the remote device can also communicate with a power generation device in the power network (such as the thermal power generator mentioned above). The remote device can send request information to the power generation device based on the working status of the physical transformer so that the power generation device can either control the operating status of the physical transformer in the power network, or send control instructions to the power generation device to adjust the power transmission in the power network based on the operating status of the physical transformer.
[0116] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0117] Reference Figure 2 , shows a schematic diagram of a transformer control device provided in an embodiment of the present application, which may specifically include a determination module 201, a first simulation data generation module 202, a target performance data generation module 203, a second simulation data generation module 204, a control data generation module 205, and a control module 206, wherein:
[0118] A physical transformer determination module 201, used to determine initial performance data of a physical transformer and a transformer model corresponding to the physical transformer;
[0119] A first simulation data generating module 202, configured to simulate the initial performance data using the transformer model to generate first simulation data;
[0120] A target performance data generating module 203, configured to generate target performance data according to the initial performance data when the first simulation data meets the fault characteristics;
[0121] A second simulation data generating module 204, configured to simulate the target performance data using the transformer model to generate second simulation data;
[0122] A control data generating module 205, configured to generate control data matching the target performance data when the second simulation data does not satisfy the fault characteristics;
[0123] The control module 206 is used to control the physical transformer according to the control data.
[0124] In some optional embodiments of the present application, the initial performance data includes an initial rated voltage value, the fault characteristics include a steady-state saturation characteristic and a transient saturation characteristic; the target performance data generating module 203 includes:
[0125] An initial rated voltage first regulating submodule, configured to determine a target rated voltage greater than the initial rated voltage if the first simulation data satisfies a steady-state saturation characteristic; and generate target performance data based on the target rated voltage;
[0126] The second initial rated voltage adjustment submodule is used to determine a target rated voltage that is less than the initial rated voltage if the first simulation data meets the transient saturation characteristics; and generate target performance data based on the target rated voltage.
[0127] In some optional embodiments of the present application, the device further includes:
[0128] A spectrum analysis module, used for performing spectrum analysis on the first simulation data to generate analysis data;
[0129] A steady-state saturation characteristic judgment module, configured to determine that the first simulation data satisfies the steady-state saturation characteristic if the proportion of the first characteristic harmonic in the analysis data is greater than a proportion threshold;
[0130] A transient saturation characteristic judgment module, configured to determine that the first simulation data satisfies the transient saturation characteristic if the proportion of the second characteristic harmonic in the analysis data is greater than a proportion threshold;
[0131] The first characteristic harmonic includes at least one of the third harmonic, the fifth harmonic, and the seventh harmonic; the second characteristic harmonic includes at least one of the direct current harmonic and the second harmonic.
[0132] In some optional embodiments of the present application, the device further includes:
[0133] The target performance data updating module is used to update the target performance data according to the fault characteristics and call the second simulation data generating module 204 when the second simulation data meets the fault characteristics.
[0134] In some optional embodiments of the present application, the device further includes:
[0135] A third simulation data generating module, configured to use the mutual inductor model to simulate a plurality of preset accuracy levels, and generate third simulation data corresponding to each preset accuracy level;
[0136] An optional accuracy level determination module, used to determine an optional accuracy level corresponding to the third simulation data that does not meet the fault characteristics;
[0137] A measurement data generation module, used to control the physical transformer to measure the preset power supply according to various optional accuracy levels to generate measurement data;
[0138] A target accuracy level determination module, used to determine the target accuracy level according to the difference between the measured data and the standard data corresponding to the preset power supply;
[0139] The control module is further configured to control the physical transformer according to the target accuracy level.
[0140] In some optional embodiments of the present application, the target accuracy level determination module includes:
[0141] An error mean calculation submodule, used for calculating the error mean between the measurement data and the standard data corresponding to each of the preset power supplies for each of the optional accuracy levels;
[0142] The target accuracy level determination submodule is used to determine the optional accuracy level corresponding to the minimum value of the error mean as the target accuracy level.
[0143] In some optional embodiments of the present application, the transformer model is deployed in a remote device; the remote device is connected to a plurality of the physical transformers, and the initial performance data is collected by sensors between the remote device and the physical transformers.
[0144] An embodiment of the present application provides a mutual inductor control device, and by using the device, each step in the aforementioned method embodiments can be implemented.
[0145] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment part.
[0146] Reference Figure 3 , shows a schematic diagram of a terminal device provided in an embodiment of the present application. Figure 3 As shown, the terminal device 300 in the embodiment of the present application includes: a processor 310, a memory 320, and a computer program 321 stored in the memory 320 and executable on the processor 310. When the processor 310 executes the computer program 321, the steps in each embodiment of the above-mentioned mutual inductor control method are implemented, for example Figure 1 Alternatively, when the processor 310 executes the computer program 321, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 2 The functions of modules 201 to 206 are shown.
[0147] Exemplarily, the computer program 321 may be divided into one or more modules / units, which are stored in the memory 320 and executed by the processor 310 to complete the present application. The one or more modules / units may be a series of computer program instruction segments that can perform specific functions, and the instruction segments may be used to describe the execution process of the computer program 321 in the terminal device 300. For example, the computer program 321 may be divided into a determination module, a first simulation data generation module, a target performance data generation module, a second simulation data generation module, a control data generation module, and a control module, and the specific functions of each module are as follows:
[0148] A physical transformer determination module, used to determine initial performance data of a physical transformer and a transformer model corresponding to the physical transformer;
[0149] A first simulation data generating module, configured to simulate the initial performance data using the mutual inductor model to generate first simulation data;
[0150] a target performance data generating module, configured to generate target performance data according to the initial performance data when the first simulation data satisfies the fault characteristics;
[0151] A second simulation data generating module, configured to simulate the target performance data using the mutual inductor model to generate second simulation data;
[0152] A control data generating module, configured to generate control data matching the target performance data when the second simulation data does not satisfy the fault characteristics;
[0153] A control module is used to control the physical transformer according to the control data.
[0154] The terminal device 300 may be a remote device in the aforementioned embodiments, and the remote device may be a computing device such as a desktop computer, a cloud server, etc. The terminal device 300 may include, but is not limited to, a processor 310 and a memory 320. Those skilled in the art will appreciate that Figure 3 It is only an example of the terminal device 300 and does not constitute a limitation of the terminal device 300. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 300 may also include input and output devices, network access devices, buses, etc.
[0155] The processor 310 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0156] The memory 320 may be an internal storage unit of the terminal device 300, such as a hard disk or memory of the terminal device 300. The memory 320 may also be an external storage device of the terminal device 300, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 300. Further, the memory 320 may also include both an internal storage unit of the terminal device 300 and an external storage device. The memory 320 is used to store the computer program 321 and other programs and data required by the terminal device 300. The memory 320 may also be used to temporarily store data that has been output or is to be output.
[0157] An embodiment of the present application also discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the mutual inductor control method as described in the above-mentioned embodiments is implemented.
[0158] The embodiment of the present application further discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the mutual inductor control method as described in the above-mentioned embodiments is implemented.
[0159] The embodiment of the present application further discloses a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the mutual inductor control method described in the above-mentioned embodiments.
[0160] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application is described in detail with reference to the above-mentioned embodiments, a person skilled in the art should understand that the technical solutions described in the above-mentioned embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.
Claims
1. A transformer control method, characterized in that: include: Determining initial performance data of a physical transformer and a transformer model corresponding to the physical transformer; Using the mutual inductor model to simulate the initial performance data to generate first simulation data; In the case where the first simulation data meets the fault characteristics, generating target performance data according to the initial performance data; Using the mutual inductor model to simulate the target performance data to generate second simulation data; generating control data matching the target performance data when the second simulation data does not satisfy the fault characteristics; The physical transformer is controlled according to the control data.
2. The method according to claim 1, characterized in that The initial performance data includes an initial rated voltage value, and the fault characteristics include a steady-state saturation characteristic and a transient saturation characteristic; The step of determining target performance data according to the initial performance data when the first simulation data meets the fault characteristics includes: If the first simulation data satisfies the steady-state saturation characteristic, determining a target rated voltage greater than the initial rated voltage; and generating target performance data based on the target rated voltage; If the first simulation data meets the transient saturation characteristics, a target rated voltage that is less than the initial rated voltage is determined; and target performance data is generated based on the target rated voltage.
3. The method according to claim 2, characterized in that After generating the first simulation data, the method further includes: Performing spectrum analysis on the first simulation data to generate analysis data; If the proportion of the first characteristic harmonic in the analysis data is greater than the proportion threshold, it is determined that the first simulation data meets the steady-state saturation characteristic; If the proportion of the second characteristic harmonic in the analysis data is greater than the proportion threshold, it is determined that the first simulation data meets the transient saturation characteristic; The first characteristic harmonic includes at least one of the third harmonic, the fifth harmonic, and the seventh harmonic; the second characteristic harmonic includes at least one of the direct current harmonic and the second harmonic.
4. The method according to claim 2 or 3, characterized in that: After generating the second simulation data, the method further includes: In the case where the second simulation data meets the fault characteristics, the target performance data is updated according to the fault characteristics, and the step of simulating the target performance data using the mutual inductor model is returned to.
5. The method according to claim 1, characterized in that The method further comprises: The mutual inductor model is used to simulate multiple preset accuracy levels to generate third simulation data corresponding to each preset accuracy level; Determine an optional accuracy level corresponding to the third simulation data that does not meet the fault characteristics; Controlling the physical transformer to measure the preset power supply according to each optional accuracy level to generate measurement data; Determining a target accuracy level according to a difference between the measured data and the standard data corresponding to the preset power supply; The physical transformer is controlled according to the target accuracy level.
6. The method according to claim 1, characterized in that Determining the target accuracy level according to the difference between the measured data and the preset standard data includes: For each of the optional accuracy levels, calculating a mean error between the measurement data and the standard data corresponding to each of the preset power sources; The optional accuracy level corresponding to the minimum value of the mean error is determined as the target accuracy level.
7. The method according to claim 1, characterized in that The mutual inductor model is deployed on a remote device; the remote device is connected to a plurality of the physical mutual inductors, and the initial performance data is collected by sensors between the remote device and the physical mutual inductors.
8. A transformer control device, characterized in that: include: A physical transformer determination module, used to determine initial performance data of a physical transformer and a transformer model corresponding to the physical transformer; A first simulation data generating module, configured to simulate the initial performance data using the mutual inductor model to generate first simulation data; a target performance data generating module, configured to generate target performance data according to the initial performance data when the first simulation data satisfies the fault characteristics; A second simulation data generating module, configured to simulate the target performance data using the mutual inductor model to generate second simulation data; A control data generating module, configured to generate control data matching the target performance data when the second simulation data does not satisfy the fault characteristics; A control module is used to control the physical transformer according to the control data.
9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the mutual inductor control method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the mutual inductor control method according to any one of claims 1 to 7 is implemented.