Self-adaptive control method and system for sampling primary side current

Abstract

The invention provides a self-adaptive control method and system for primary side current sampling, and the method comprises the steps: collecting the voltage of each primary side winding in a power supply system, the current outputted by each primary side winding, and the bus voltage of a secondary side winding after monitoring that the power supply system is abnormal; processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; respectively processing the voltage of the section of winding closest to the bus of each primary winding and the current output by the corresponding primary winding to obtain the actual power value of the corresponding primary winding; obtaining an abnormal criterion value of the corresponding primary winding based on the power predicted value and the power actual value of each primary winding; and determining whether the corresponding primary winding is abnormal or not according to the abnormal criterion value of each primary winding, and if yes, enabling a control device of the corresponding primary winding to act. According to the invention, abnormal windings can be identified and isolated, and the stability and reliability of a power supply system are improved.

Description

Technical Field

[0001] The present invention relates to the field of power electronics technology, and more specifically, to an adaptive control method and system for primary current sampling. Background Art

[0002] Existing power systems, especially those containing multiple primary windings, often face challenges in current sampling and anomaly detection. In these systems, accurate monitoring and control of current is critical to ensure stable system operation. Traditional current sampling methods often rely on fixed sampling frequencies and simple comparison logic, which may not be flexible or accurate enough when facing complex or dynamically changing power systems. In addition, when an anomaly occurs in the system, such as a voltage surge or a sudden load change, these methods may not be able to identify the source of the problem in a timely and accurate manner, resulting in insufficiently rapid fault handling, affecting the overall performance and safety of the system.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the traditional current sampling method lacks adaptability and cannot dynamically adjust the sampling strategy according to the actual operating status of the system; at the same time, the existing abnormality detection method often takes a long time to determine the abnormality, which may cause processing delays in emergency situations. In addition, when processing multiple primary windings, the prior art may not be able to effectively distinguish the status of each winding, making it difficult to quickly locate and isolate the faulty part when an abnormality occurs. Summary of the invention

[0004] The invention provides an adaptive control method and system for primary current sampling.

[0005] In a first aspect of the present invention, an adaptive control method for primary current sampling is provided, comprising: After detecting an abnormality in the power supply system, the voltage of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding are collected; Processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; The voltage of a section of each primary winding closest to the busbar and the current output by the corresponding primary winding are processed respectively to obtain the actual power value of the corresponding primary winding; Based on the power prediction value and the actual power value of each primary winding, the abnormal criterion value of the corresponding primary winding is obtained; according to the abnormal criterion value of each primary winding, it is determined whether the corresponding primary winding has an abnormality, and if so, the control device action of the corresponding primary winding is executed.

[0006] Further, the power prediction value of each primary winding is obtained by performing the following operations: processing the voltage of each primary winding respectively to obtain the DC component voltage and AC component voltage of the corresponding primary winding; Based on the DC component voltage and the AC component voltage of each primary winding, a composite voltage of the corresponding primary winding is obtained; Based on the composite voltage of all primary windings and the bus voltage, a power prediction value of each primary winding is obtained.

[0007] Further, the DC component voltage and AC component voltage of each primary winding are obtained by performing the following operations: the voltage of each primary winding is processed respectively to obtain the open circuit voltage of the DC component branch and the open circuit voltage of the AC component branch of the corresponding primary winding; Perform Thevenin equivalent on all DC component branches of each primary winding to obtain the DC component voltage of the corresponding primary winding; Thevenin equivalent is performed on all AC component branches of each primary winding to obtain the AC component voltage of the corresponding primary winding.

[0008] Furthermore, the power prediction value of the jth primary winding at the i-th sampling point is The calculation formula is: (1) in, , represent the DC component voltage and AC component voltage of the jth primary winding at the i-th sampling point respectively; represents the bus voltage of the secondary winding at the i-th sampling point; n represents the total number of primary windings in the power system; represents the line impedance between the jth primary winding and the busbar; Represents the line impedance between the busbar and the secondary winding.

[0009] Furthermore, the DC component voltage of the jth primary winding at the i-th sampling point is and AC component voltage The calculation formulas are: (2) (3) (4) in, represents the open circuit voltage of the DC component branch of the jth primary winding; represents the open circuit voltage of the AC component branch of the jth primary winding; represents the equivalent impedance of the DC component branch of the jth primary winding after the Thevenin equivalent; represents the DC component equivalent impedance of the DFIG step-up transformer of the jth primary winding; represents the equivalent impedance of the AC component branch of the jth primary winding after the Thevenin equivalent; represents the equivalent impedance of the AC component of the DFIG step-up transformer of the jth primary winding; Represents the number of DFIGs on the jth primary winding.

[0010] Further, the actual power value of each primary winding is obtained by performing the following operations: removing the power frequency component in the current output by each primary winding respectively to obtain the composite current output by the corresponding primary winding; Based on the voltage of a section of the primary winding closest to the busbar and the composite current output by the corresponding primary winding, the actual power value of the corresponding primary winding is obtained.

[0011] Furthermore, the actual power value of the jth primary winding at the i-th sampling point is The calculation formula is: (5) in, It represents the voltage of the section of the winding closest to the busbar of the jth primary winding at the i-th sampling point; represents the number of DFIGs on the jth primary winding; Represents the composite current output by the jth primary winding at the ith sampling point.

[0012] Furthermore, the abnormality criterion value of the jth primary winding is satisfy: (6) Where N represents the total number of sampling points after the fault occurs.

[0013] Further, determining whether the corresponding primary winding is abnormal according to the abnormal criterion value of each primary winding includes: if , then the jth primary winding is abnormal; otherwise, the jth primary winding is not abnormal; where T is the action threshold.

[0014] In a second aspect of the present invention, an adaptive control system for primary current sampling is provided, comprising: The data acquisition module is used to collect the voltage of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding after detecting an abnormality in the power supply system; A power prediction value acquisition module, used for processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; The power actual value acquisition module is used to process the voltage of a section of each primary winding closest to the busbar and the current output by the corresponding primary winding to obtain the power actual value of the corresponding primary winding; The control action module is used to obtain the abnormality criterion value of the corresponding primary winding based on the power prediction value and the actual power value of each primary winding; determine whether the corresponding primary winding has an abnormality according to the abnormality criterion value of each primary winding, and if so, the control device of the corresponding primary winding is actuated.

[0015] The above-mentioned embodiments of the present invention have at least the following beneficial effects: the adaptive control method of the present invention can improve the accuracy and response speed of primary current sampling. By real-time monitoring and processing of the voltage and current of each primary winding, the method can quickly identify abnormal windings and take control measures in time. By comparing the power prediction value and actual value of the primary winding, this method can more accurately determine whether the winding is abnormal, thereby improving the stability and reliability of the system.

[0016] In addition, the adaptive control method of the present invention can also reduce system failures and losses caused by abnormalities. By separating and processing the DC component and AC component voltage of the primary winding, the method can more accurately calculate the power prediction value of each winding. This accurate power prediction helps to quickly determine the abnormal source and take corresponding control measures when an abnormality occurs in the system, thereby avoiding possible misjudgments and processing delays in traditional methods and improving the safety and efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which: Figure 1 A schematic flow chart of an adaptive control method for primary current sampling provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of an adaptive control system for primary current sampling provided by an embodiment of the present invention; Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0019] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0020] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0021] Reference below Figure 1 , Figure 1 FIG. 1 is a flow chart of an adaptive control method for primary current sampling provided by an embodiment of the present invention. Figure 1 As shown, an adaptive control method 100 for primary current sampling includes: Step 101, after detecting an abnormality in the power supply system, collecting the voltage of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding; Step 102, processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; Step 103, respectively processing the voltage of a section of winding of each primary winding closest to the busbar and the current output by the corresponding primary winding to obtain the actual power value of the corresponding primary winding; Step 104, obtaining the abnormality criterion value of the corresponding primary winding based on the power prediction value and the actual power value of each primary winding; determining whether the corresponding primary winding has an abnormality according to the abnormality criterion value of each primary winding, and if so, executing the control device action of the corresponding primary winding.

[0022] Specifically, the method first monitors the voltage of each primary winding in the power supply system, including the DC component voltage and the AC component voltage, and the bus voltage of the secondary winding. The current output by each primary winding is also collected for subsequent power actual value calculation. Here, the collection of voltage and current can be achieved through corresponding sensors, such as using a Hall effect sensor to measure current.

[0023] Preferably, the collected data will be processed by a digital signal processor DSP or a microcontroller MCU. During the processing, a fast Fourier transform FFT algorithm can be used to separate the DC component and the AC component voltage to improve the accuracy of the measurement. In addition, a threshold can be set to determine whether the system is in an abnormal state. For example, when the fluctuation of voltage or current exceeds a preset threshold, the system will be considered to be abnormal.

[0024] It should be noted that in this embodiment, the power prediction value of each primary winding is obtained by processing the voltage of each primary winding and the bus voltage. This is achieved by calculating the composite voltage of the DC component voltage and the AC component voltage of each primary winding, and then combining it with the bus voltage.

[0025] Specifically, the calculation of the DC component voltage and the AC component voltage can be achieved through the Thevenin equivalent circuit model, in which the equivalent impedance and the open circuit voltage can be obtained by measuring the circuit parameters. The composite voltage is the vector sum of the DC component voltage and the AC component voltage.

[0026] Preferably, in order to improve the accuracy of power prediction, a dynamically adjusted algorithm can be used to adapt to different load conditions and system states. For example, an adaptive filter can be used to dynamically adjust the weights of the DC component and the AC component to adapt to real-time changing system conditions.

[0027] It should be noted that, in this embodiment, the actual power value of the corresponding primary winding is obtained by respectively processing the voltage of a section of the winding of each primary winding closest to the busbar and the current output by the corresponding primary winding.

[0028] Specifically, this step involves real-time sampling of the voltage and current of the primary winding, and then obtaining the actual power value through mathematical operations. The voltage and current sampling here can be achieved through high-precision sensors and data acquisition systems.

[0029] Preferably, in order to reduce measurement errors, synchronous sampling technology can be used to ensure that the sampling moments of voltage and current are consistent. In addition, software algorithms can be used to compensate for errors caused by non-ideal characteristics of sensors, such as using a Kalman filter to estimate and compensate for these errors.

[0030] In some embodiments, the power prediction value of each primary winding is obtained by performing the following operations: processing the voltage of each primary winding respectively to obtain the DC component voltage and the AC component voltage of the corresponding primary winding; Based on the DC component voltage and the AC component voltage of each primary winding, a composite voltage of the corresponding primary winding is obtained; Based on the composite voltage of all primary windings and the bus voltage, a power prediction value of each primary winding is obtained.

[0031] It should be noted that this embodiment describes in detail an adaptive control method for primary current sampling. This method processes the voltage of each primary winding to obtain a DC component voltage and an AC component voltage, and then calculates a composite voltage to ultimately obtain a power prediction value for each primary winding.

[0032] Specifically, the method first processes the voltage of each primary winding to separate the DC component voltage and the AC component voltage. The DC component voltage reflects the stable part of the voltage, while the AC component voltage contains the voltage fluctuation information. Through this separation, the power output of each primary winding can be predicted more accurately.

[0033] Preferably, the separation of the DC component voltage and the AC component voltage can be achieved by a low-pass filter and a high-pass filter to filter out the AC component and the DC component respectively. In addition, more advanced signal processing techniques, such as wavelet transform, can also be used to more accurately separate the DC and AC components.

[0034] Furthermore, the calculation of the composite voltage is to superimpose the DC component voltage and the AC component voltage in a certain ratio. This ratio can be adjusted according to the actual system characteristics and requirements to ensure that the composite voltage can reflect the actual voltage of the primary winding as accurately as possible.

[0035] Preferably, in order to improve the accuracy of the composite voltage calculation, a real-time adjustment algorithm can be used to dynamically adjust the weights of the DC and AC components according to the current working state of the system. For example, when the system load changes, the weights can be automatically adjusted by the algorithm to adapt to the new working conditions.

[0036] Furthermore, the power prediction value is calculated by multiplying the composite voltage of each primary winding by the bus voltage and then by the corresponding line impedance. This calculation process involves the basic theory of circuits, that is, the relationship between voltage and current.

[0037] Preferably, in order to improve the accuracy of power prediction, advanced mathematical models and algorithms, such as artificial neural networks, can be used to predict power values. This method can automatically adjust the prediction model to adapt to system changes by learning historical data and system responses.

[0038] In some embodiments, the DC component voltage and AC component voltage of each primary winding are obtained by performing the following operations: the voltage of each primary winding is processed respectively to obtain the open circuit voltage of the DC component branch and the open circuit voltage of the AC component branch of the corresponding primary winding; Perform Thevenin equivalent on all DC component branches of each primary winding to obtain the DC component voltage of the corresponding primary winding; Thevenin equivalent is performed on all AC component branches of each primary winding to obtain the AC component voltage of the corresponding primary winding.

[0039] It should be noted that this embodiment describes in detail how to obtain the DC component voltage and AC component voltage of the primary winding through the Thevenin equivalent method. Thevenin equivalent method is a circuit analysis method that simplifies a complex circuit into a combination of a single voltage source and a resistor to facilitate calculation and analysis.

[0040] Specifically, the open circuit voltage of the DC component branch and the AC component branch are two key parameters of the Thevenin equivalence. The open circuit voltage refers to the voltage across the circuit when no load is connected. The open circuit voltage of the DC component branch reflects the voltage level of the DC voltage source, while the open circuit voltage of the AC component branch reflects the voltage level of the AC voltage source.

[0041] Preferably, in order to obtain the open circuit voltage more accurately, a high-precision voltage measuring device can be used and the measurement can be performed under no-load conditions. In addition, the measurement results can be calibrated by software algorithms to eliminate the influence of environmental factors and equipment errors.

[0042] Specifically, the Thevenin equivalent process includes calculating equivalent impedance and equivalent voltage. Equivalent impedance is the combination of all resistors in the circuit and can be calculated using circuit analysis methods such as node analysis or loop analysis. Equivalent voltage is the voltage drop across the equivalent impedance.

[0043] Preferably, in order to simplify the calculation process, circuit simulation software can be used to perform the Thevenin equivalent calculation. These software can automatically calculate the equivalent impedance and equivalent voltage, greatly improving the efficiency and accuracy of the analysis.

[0044] Furthermore, the Thevenin equivalent of the AC component branch also involves the calculation of equivalent impedance and equivalent voltage. Unlike the DC component, the impedance of the AC component is a complex number, including resistance and reactance.

[0045] In some embodiments, once it is determined that a primary winding is abnormal by monitoring and comparing the power prediction value with the actual value, the control device associated with the primary winding will perform a predetermined action. When the system detects that the abnormal criterion value exceeds the preset threshold, indicating that the jth primary winding is abnormal, the system will automatically perform a series of control actions, which may include cutting off the power supply to the abnormal winding to ensure safety, triggering the alarm system to notify the operator, redistributing the load to maintain system performance, automatically switching to the backup winding to maintain continuous power supply, recording the details of the abnormal event for subsequent analysis and fault diagnosis, or attempting to self-repair or limit the performance of the abnormal winding until the problem is resolved. All of these control actions are implemented by programming on a digital signal processor (DSP) or a microcontroller (MCU) to ensure real-time response and safe operation of the system.

[0046] Preferably, in order to more accurately process the AC component, a frequency response analysis method can be used to calculate the equivalent impedance. In addition, the equivalent voltage of the AC component can also be obtained by experimental measurement to verify the result of the simulation calculation.

[0047] In some embodiments, the power prediction value of the jth primary winding at the i-th sampling point is The calculation formula is: (1) in, , represent the DC component voltage and AC component voltage of the jth primary winding at the i-th sampling point respectively; represents the bus voltage of the secondary winding at the i-th sampling point; n represents the total number of primary windings in the power system; represents the line impedance between the jth primary winding and the busbar; Represents the line impedance between the busbar and the secondary winding.

[0048] It should be noted that this embodiment describes how to calculate the power prediction value of the jth primary winding at the ith sampling point, which is obtained by multiplying the DC component voltage and the AC component voltage with the corresponding bus voltage and then summing them.

[0049] Specifically, the DC component voltage and AC component voltage are obtained by performing Thevenin equivalent on the primary winding voltage. The bus voltage refers to the bus voltage of the secondary winding, which participates in the power calculation together with the primary winding voltage. The line impedance refers to the impedance between the primary winding and the bus, which affects the flow of current and the transmission of power.

[0050] Preferably, the calculation of the DC component voltage and the AC component voltage can be achieved by digital signal processing technology, such as using fast Fourier transform FFT to separate the DC and AC components. The bus voltage can be measured by a high-precision voltage sensor, and the line impedance can be obtained by measuring circuit parameters.

[0051] More specifically, each parameter in the calculation formula needs to be accurately measured and calculated. The DC component voltage and AC component voltage can be obtained through the above-mentioned Thevenin equivalent, the bus voltage can be measured by a voltage sensor, and the line impedance can be calculated by circuit analysis software.

[0052] Preferably, in order to improve the accuracy of the calculation, a real-time data acquisition and processing system can be used to obtain these parameters. In addition, a machine learning algorithm can be used to predict the change of line impedance to adapt to different working conditions and load changes.

[0053] Furthermore, the power prediction value calculation result will be used to compare with the actual measured power value to determine whether there is an abnormality. This comparison can be achieved by setting a threshold. When the difference between the predicted value and the actual value exceeds the threshold, the system will consider that there is an abnormality.

[0054] Preferably, in order to improve the response speed and accuracy of the system, an adaptive control algorithm can be used to dynamically adjust the threshold. In addition, the prediction model can be optimized through historical data analysis to improve the accuracy and efficiency of anomaly detection.

[0055] In some embodiments, the DC component voltage of the jth primary winding at the i-th sampling point is and AC component voltage The calculation formulas are: (2) (3) (4) in, represents the open circuit voltage of the DC component branch of the jth primary winding; represents the open circuit voltage of the AC component branch of the jth primary winding; represents the equivalent impedance of the DC component branch of the jth primary winding after the Thevenin equivalent; represents the DC component equivalent impedance of the DFIG step-up transformer of the jth primary winding; represents the equivalent impedance of the AC component branch of the jth primary winding after the Thevenin equivalent; represents the equivalent impedance of the AC component of the DFIG step-up transformer of the jth primary winding; Represents the number of DFIGs on the jth primary winding.

[0056] It should be noted that this embodiment describes in detail how to calculate the DC component voltage and the AC component voltage. These voltages are obtained through the Thevenin equivalent circuit model and are used to further calculate the power prediction value.

[0057] Specifically, the calculation of DC component voltage and AC component voltage involves the open circuit voltage and equivalent impedance in the Thevenin equivalent circuit. The open circuit voltage refers to the voltage when there is no load at both ends of the circuit, and the equivalent impedance is the combination of all resistances and reactances in the circuit. These parameters can be obtained through circuit analysis software or experimental measurement.

[0058] Preferably, in order to improve the accuracy of the measurement, high-precision measuring equipment can be used and the measurement can be performed under controlled laboratory conditions. In addition, the behavior of the circuit can be simulated by circuit simulation software to verify the accuracy of the measurement results.

[0059] It should be noted that, in this implementation, the calculation formulas for the DC component voltage and the AC component voltage involve multiple parameters, including the open circuit voltage, the equivalent impedance, and the impedance of the DFIG step-up transformer.

[0060] Specifically, the calculation of these parameters requires detailed circuit design knowledge and measurement techniques. The open circuit voltage can be obtained by disconnecting the circuit load and measuring the voltage across the two ends. The equivalent impedance can be calculated by circuit analysis methods, such as using the node voltage method or the loop current method.

[0061] Preferably, in order to improve the efficiency and accuracy of the calculation, automated circuit analysis tools can be used. These tools can quickly calculate the open circuit voltage and equivalent impedance, and can handle complex circuit designs. In addition, machine learning algorithms can be used to predict changes in circuit parameters to adapt to different operating conditions.

[0062] It should be noted that, in this implementation, the DC component voltage and AC component voltage of each primary winding can be obtained through the above calculation formula, and these voltages are the basis for subsequent power prediction value calculation.

[0063] Specifically, the calculated DC component voltage and AC component voltage will be used to calculate the power prediction value. This step is crucial because it directly affects the accuracy of power prediction.

[0064] Preferably, in order to ensure the reliability of the calculation results, a redundant calculation strategy can be adopted, that is, the same parameter is calculated independently by different methods or devices, and then the results are compared to ensure consistency. In addition, the measurement equipment can be calibrated regularly to ensure the accuracy of long-term measurements.

[0065] In some embodiments, the actual power value of each primary winding is obtained by performing the following operations: removing the power frequency component in the current output by each primary winding respectively to obtain the composite current output by the corresponding primary winding; Based on the voltage of a section of the primary winding closest to the busbar and the composite current output by the corresponding primary winding, the actual power value of the corresponding primary winding is obtained.

[0066] Specifically, the current output by the primary winding contains multiple frequency components, among which the power frequency component is the main operating frequency, but it may not be the abnormal situation we want to analyze. After removing the power frequency component, we get a composite current, which contains other frequency components besides the power frequency, which may be related to the abnormal situation.

[0067] Preferably, the removal of the power frequency component can be achieved by a band-stop filter, which can be designed to only block the passage of a specific frequency, such as the power frequency, while allowing the passage of currents of other frequencies. In addition, digital signal processing techniques, such as fast Fourier transform FFT, can also be used to separate components of different frequencies.

[0068] Furthermore, the voltage of the winding closest to the busbar refers to the voltage of the winding closest to the busbar in the primary winding. This voltage, together with the composite current, can be used to calculate the actual power value through the power formula.

[0069] Preferably, in order to improve the accuracy of calculation, high-precision voltage and current sensors can be used to acquire data. At the same time, synchronous sampling technology can be used to ensure that voltage and current data are collected at the same time point, thereby improving the accuracy of power calculation.

[0070] It should be noted that, in this implementation, the actual power value obtained through the above steps will be used to compare with the predicted power value to determine whether there is an abnormality.

[0071] Specifically, the actual power value is calculated by multiplying voltage by current. This calculation process can be implemented on a digital signal processor DSP or a microcontroller MCU through programming.

[0072] Preferably, in order to improve the real-time performance and response speed of the system, a real-time operating system RTOS can be used to manage data acquisition and processing tasks. In addition, a threshold can be set to determine whether the difference between the actual power value and the predicted value exceeds the normal range, thereby quickly identifying abnormal situations.

[0073] In some embodiments, the actual power value of the jth primary winding at the i-th sampling point is The calculation formula is: (5) in, It represents the voltage of the section of the winding closest to the busbar of the jth primary winding at the i-th sampling point; represents the number of DFIGs on the jth primary winding; Represents the composite current output by the jth primary winding at the ith sampling point.

[0074] It should be noted that this embodiment describes in detail how to calculate the actual power value of the jth primary winding at the ith sampling point, which is achieved by multiplying the voltage of a winding section closest to the busbar by the output composite current.

[0075] Specifically, the voltage of a section of winding closest to the busbar refers to the voltage of the section of winding closest to the busbar in the primary winding. The composite current refers to the current remaining after removing the power frequency component, which contains other frequency components that may indicate abnormal conditions.

[0076] Preferably, in order to ensure the accuracy of the measurement, high-precision voltage and current sensors can be used and ensure that they are sampled at the same time point. In addition, the collected data can be filtered and calibrated through software algorithms to eliminate the influence of noise and measurement errors.

[0077] It should be noted that, in this implementation, the calculation formula for the actual power value involves the voltage and composite current of the jth primary winding at the i-th sampling point.

[0078] Specifically, this calculation process can be implemented on a digital signal processor DSP or a microcontroller MCU by programming. The sampled values ​​of voltage and current will be input into the processor, and the actual power value will be obtained by performing multiplication operation.

[0079] Preferably, in order to improve the real-time performance and accuracy of the calculation, a high-speed analog-to-digital converter ADC can be used to obtain the digital values ​​of the voltage and current. At the same time, digital signal processing technology, such as fast Fourier transform FFT, can be used to separate and process the voltage and current signals.

[0080] Furthermore, the calculation result of the actual power value is compared and analyzed with the power prediction value. If the difference between the two exceeds a preset threshold, it can be considered that an abnormality may occur in the primary winding.

[0081] Preferably, in order to improve the accuracy of anomaly detection, a statistical method or a machine learning algorithm can be used to determine the threshold. In addition, the anomaly detection algorithm can be optimized by real-time monitoring and analyzing historical data to adapt to different working conditions and system changes.

[0082] In some embodiments, the abnormality criterion value of the jth primary winding is satisfy: (6) Where N represents the total number of sampling points after the fault occurs.

[0083] Specifically, the abnormality criterion value is calculated by a formula, which involves a power prediction value and a power actual value. The power prediction value is a calculation prediction based on voltage and current, while the power actual value is the power actually measured.

[0084] Preferably, in order to ensure the accuracy of the calculation, a high-precision measuring device can be used to obtain the values ​​of voltage and current. At the same time, a reasonable sampling frequency can be set to ensure that reliable data can be obtained under different load conditions.

[0085] More specifically, the total number of sampling points N refers to the total number of times the system performs sampling after an anomaly is detected. This value can be set based on the system's response time and the accuracy requirements of anomaly detection.

[0086] Preferably, in order to improve the real-time performance of anomaly detection, an event-triggered sampling mechanism may be used, that is, sampling is started immediately when an abnormal signal is detected, rather than at fixed time intervals, so that an abnormal situation can be responded to more quickly.

[0087] Furthermore, the calculation result of the abnormality criterion value is compared with a preset threshold value. If the abnormality criterion value exceeds the threshold value, it can be considered that an abnormality has occurred in the primary winding.

[0088] Furthermore, in order to improve the accuracy of anomaly detection, adaptive threshold setting can be used, that is, dynamically adjusting the threshold according to the system's operating status and historical data. In addition, a variety of sensor data and signal processing techniques, such as wavelet transform or neural network, can be combined to improve the performance of anomaly detection.

[0089] In some embodiments, determining whether a corresponding primary winding is abnormal according to an abnormality criterion value of each primary winding includes: , then the jth primary winding is abnormal; otherwise, the jth primary winding is not abnormal; where T is the action threshold.

[0090] It should be noted that this embodiment describes a method for determining whether an abnormality occurs in the primary winding based on an abnormality criterion value. This method determines the state of the primary winding by comparing the abnormality criterion value with a preset action threshold.

[0091] Specifically, the abnormal criterion value is calculated based on the difference between the power prediction value and the power actual value. The action threshold is a pre-set threshold used to determine whether control measures need to be taken.

[0092] Preferably, the action threshold can be set according to the safety requirements of the system and historical operation data. For example, a reasonable threshold value can be set according to the criterion value when an abnormality occurred in the past.

[0093] It should be noted that, in this implementation, if the abnormality criterion value is greater than the action threshold, it is determined that the j-th primary winding has an abnormality.

[0094] Specifically, this determination process can be implemented by programming, such as an algorithm running on a microcontroller or a digital signal processor. When it is detected that the abnormal criterion value exceeds a threshold, the algorithm will trigger a corresponding control device.

[0095] Preferably, in order to improve the response speed of the system, a real-time operating system RTOS can be used to manage the abnormality detection and response process. In addition, multiple different threshold values ​​can be set to distinguish abnormal situations of different degrees.

[0096] It should be noted that, in this implementation, if the abnormality criterion value is less than or equal to the action threshold, it is determined that no abnormality occurs in the j-th primary winding.

[0097] Specifically, this determination is based on the comparison result of the abnormality determination value calculated in real time with the preset threshold value. The determination that no abnormality has occurred means that the system can continue to operate normally without taking additional control measures.

[0098] Preferably, in order to reduce the possibility of misjudgment, multiple anomaly detection algorithms can be used and their results can be comprehensively analyzed. For example, statistical analysis and machine learning techniques can be combined to improve the accuracy of the judgment. In addition, the threshold value can be updated regularly to adapt to changes in the system and improve the system's adaptive ability.

[0099] The above-mentioned embodiments of the present invention have the following beneficial effects: The adaptive control method of the present invention can improve the monitoring and response capabilities of the power supply system under abnormal conditions. By collecting the voltage and current of the primary winding and the bus voltage of the secondary winding in real time, the method can quickly predict and actually measure the power of each primary winding. By comparing the predicted value with the actual value, this method can accurately determine which windings have abnormalities, thereby timely triggering the corresponding control device for processing. Such a processing mechanism can not only reduce the risk of system failure, but also improve the operating efficiency and reliability of the system.

[0100] In addition, the adaptive control method of the present invention can also improve the accuracy of the power prediction of the primary winding through accurate voltage and current processing. By separating the voltage of the DC component and the AC component and performing the Thevenin equivalent, the method can more accurately calculate the power prediction value of each winding. This accurate power prediction helps to quickly determine the abnormal source and take corresponding control measures when an abnormality occurs in the system, thereby avoiding possible misjudgments and processing delays in traditional methods and improving the safety and efficiency of the system.

[0101] like Figure 2 As shown, in some embodiments, an adaptive control system 200 for primary current sampling includes: The data acquisition module 201 is used to collect the voltage 202 of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding after detecting an abnormality in the power supply system; A power prediction value acquisition module 203 is used to process the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; The power actual value acquisition module 204 is used to process the voltage of a section of each primary winding closest to the busbar and the current output by the corresponding primary winding to obtain the power actual value of the corresponding primary winding; The control action module 205 is used to obtain the abnormality criterion value of the corresponding primary winding based on the power prediction value and the actual power value of each primary winding; determine whether the corresponding primary winding is abnormal according to the abnormality criterion value of each primary winding, and if so, execute the control device action of the corresponding primary winding.

[0102] It can be understood that the modules described in the adaptive control system 200 for primary current sampling are similar to those described in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the adaptive control method for primary current sampling are also applicable to the adaptive control system 200 for primary current sampling and the modules contained therein, and will not be described in detail here.

[0103] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0104] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0105] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0106] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0107] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. An adaptive control method for primary current sampling, characterized in that: include: After detecting an abnormality in the power supply system, the voltage of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding are collected; Processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; The voltage of a section of each primary winding closest to the busbar and the current output by the corresponding primary winding are processed respectively to obtain the actual power value of the corresponding primary winding; Based on the power prediction value and the actual power value of each primary winding, an abnormality criterion value of the corresponding primary winding is obtained; According to the abnormality criterion value of each primary winding, it is determined whether the corresponding primary winding has an abnormality. If so, the control device of the corresponding primary winding is executed.

2. The adaptive control method for primary current sampling according to claim 1, characterized in that: The power prediction value of each primary winding is obtained by performing the following operations: processing the voltage of each primary winding respectively to obtain the DC component voltage and AC component voltage of the corresponding primary winding; Based on the DC component voltage and the AC component voltage of each primary winding, a composite voltage of the corresponding primary winding is obtained; Based on the composite voltage of all primary windings and the bus voltage, a power prediction value of each primary winding is obtained.

3. The adaptive control method for primary current sampling according to claim 2, characterized in that: The DC component voltage and AC component voltage of each primary winding are obtained by performing the following operations: the voltage of each primary winding is processed respectively to obtain the open circuit voltage of the DC component branch and the open circuit voltage of the AC component branch of the corresponding primary winding; Perform Thevenin equivalent on all DC component branches of each primary winding to obtain the DC component voltage of the corresponding primary winding; Thevenin equivalent is performed on all AC component branches of each primary winding to obtain the AC component voltage of the corresponding primary winding.

4. The adaptive control method for primary current sampling according to claim 3, characterized in that: The power prediction value of the jth primary winding at the i-th sampling point The calculation formula is: （1） in, , represent the DC component voltage and AC component voltage of the jth primary winding at the i-th sampling point respectively; represents the bus voltage of the secondary winding at the i-th sampling point; n represents the total number of primary windings in the power system; represents the line impedance between the jth primary winding and the busbar; Represents the line impedance between the busbar and the secondary winding.

5. The adaptive control method for primary current sampling according to claim 4, characterized in that: The DC component voltage of the jth primary winding at the i-th sampling point and AC component voltage The calculation formulas are: （2） （3） （4） in, represents the open circuit voltage of the DC component branch of the jth primary winding; represents the open circuit voltage of the AC component branch of the jth primary winding; represents the equivalent impedance of the DC component branch of the jth primary winding after the Thevenin equivalent; represents the DC component equivalent impedance of the DFIG step-up transformer of the jth primary winding; represents the equivalent impedance of the AC component branch of the jth primary winding after the Thevenin equivalent; represents the equivalent impedance of the AC component of the DFIG step-up transformer of the jth primary winding; Represents the number of DFIGs on the jth primary winding.

6. The adaptive control method for primary current sampling according to claim 5, characterized in that: The actual power value of each primary winding is obtained by performing the following operations: the power frequency component in the current output by each primary winding is removed respectively to obtain the composite current output by the corresponding primary winding; Based on the voltage of a section of the primary winding closest to the busbar and the composite current output by the corresponding primary winding, the actual power value of the corresponding primary winding is obtained.

7. The adaptive control method for primary current sampling according to claim 6, characterized in that: The actual power value of the jth primary winding at the i-th sampling point The calculation formula is: （5） in, It represents the voltage of the section of the winding closest to the busbar of the jth primary winding at the i-th sampling point; represents the number of DFIGs on the jth primary winding; Represents the composite current output by the jth primary winding at the ith sampling point.

8. The adaptive control method for primary current sampling according to claim 7, characterized in that: Abnormal criterion value of the jth primary winding satisfy: （6） Where N represents the total number of sampling points after the fault occurs.

9. The adaptive control method for primary current sampling according to claim 8, characterized in that: Determine whether the corresponding primary winding is abnormal based on the abnormal criterion value of each primary winding, including: , then the jth primary winding is abnormal; otherwise, the jth primary winding is not abnormal; where T is the action threshold.

10. An adaptive control system for primary current sampling, characterized in that: include: The data acquisition module is used to collect the voltage of each primary winding in the power supply system, the current output by each primary winding, and the bus voltage of the secondary winding after detecting an abnormality in the power supply system; A power prediction value acquisition module, used for processing the voltage of each primary winding and the bus voltage to obtain a power prediction value of each primary winding; The power actual value acquisition module is used to process the voltage of a section of each primary winding closest to the busbar and the current output by the corresponding primary winding to obtain the actual power value of the corresponding primary winding; A control action module, used for obtaining an abnormality criterion value of a corresponding primary winding based on a power prediction value and an actual power value of each primary winding; Whether an abnormality occurs in the corresponding primary winding is determined according to the abnormality criterion value of each primary winding. If an abnormality occurs in the corresponding primary winding, the control device of the corresponding primary winding is activated.

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