A dynamic load regulation control method and system for a high-voltage frequency converter

Abstract

The application discloses a kind of dynamic load regulation control method and system of high-voltage frequency converter, it is related to high-voltage frequency converter relevant field, this method includes: obtaining the distribution information of driven load, and predicting the load dynamic change trend in preset time window;Obtain system configuration information;Based on topological relationship, according to the dynamic change trend obtained by prediction analysis total load demand, and based on the target speed of main frequency converter, establish total load and torque collaborative relationship;According to total load and torque collaborative relationship, carry out dynamic torque distribution, and generate dynamic torque distribution instruction based on the window period of dynamic change trend, wherein, dynamic torque distribution instruction is used to indicate each from frequency converter adjusts torque output in advance before dynamic load actually acts on corresponding motor, it is to solve the technical problem that the existing high-voltage frequency converter regulation control cannot adapt to load dynamic change, torque distribution is unreasonable, reach the technical effect of improving the adaptability and precision of torque output.

Description

Technical Field

[0001] This application relates to the field of high voltage frequency converters, and in particular to a dynamic load regulation and control method and system for high voltage frequency converters. Background Technology

[0002] In the industrial drive field, the dynamic changes in the load driven by high-voltage frequency converters have a crucial impact on the stability, efficiency, and lifespan of the system. Accurate and timely adjustment of dynamic load is a key factor in ensuring smooth industrial production. Currently, the main method for solving the dynamic load adjustment problem of high-voltage frequency converters is to adopt a fixed torque distribution strategy. This involves distributing torque according to a pre-set ratio based on fixed parameters such as the rated power of the master and slave frequency converters to cope with load changes. However, this fixed torque distribution strategy does not consider the actual dynamic changing trend of the load. When the load changes rapidly or experiences complex fluctuations, it cannot adjust the torque output of each frequency converter in a timely and accurate manner. This leads to an unreasonable torque distribution between the master and slave frequency converters, resulting in unstable motor operation, prone to overload or underload, affecting the normal operation and lifespan of the equipment, and also reducing the energy efficiency of the entire drive system.

[0003] Currently, the regulation and control of high-voltage frequency converters suffer from technical problems such as inability to adapt to dynamic load changes and unreasonable torque distribution. Summary of the Invention

[0004] This application provides a dynamic load regulation and control method and system for high-voltage frequency converters. It employs techniques such as acquiring driven load distribution information and predicting the dynamic load change trend within a preset time window, obtaining system configuration information including the master-slave frequency converter topology, analyzing the total load demand based on the topology relationship and predicted trends, establishing a total load-torque coordination relationship with the master frequency converter's target speed, performing dynamic torque allocation based on this relationship, and generating dynamic torque allocation commands to allow each slave frequency converter to adjust its torque output in advance. These techniques solve the technical problems of existing high-voltage frequency converter regulation and control methods, such as inability to adapt to dynamic load changes and unreasonable torque allocation, achieving the technical effect of improving the adaptability and accuracy of torque output.

[0005] This application provides a dynamic load regulation control method for a high-voltage frequency converter, comprising: acquiring the distribution information of the driven load and predicting the dynamic change trend of the load within a preset time window; acquiring system configuration information, the system configuration information including a topology consisting of one master frequency converter and at least one slave frequency converter; based on the topology, analyzing the total load demand according to the predicted dynamic change trend, and establishing a total load and torque coordination relationship based on the target speed of the master frequency converter; performing dynamic torque allocation according to the total load and torque coordination relationship, and generating a dynamic torque allocation command based on the window period of the dynamic change trend, wherein the dynamic torque allocation command is used to instruct each slave frequency converter to adjust its torque output in advance before the dynamic load actually acts on the corresponding motor.

[0006] In a possible implementation, the distribution information of the driven load is obtained, and the dynamic change trend of the load within a preset time window is predicted. The following processing is performed: Based on the source of the dynamic change of the driven load, a sensing network is established, including sensing grid parameters, which are used to define the spatial grid distribution of the monitoring sensing space; sensing parameters of each dimension are obtained using the sensing network and mapped to the sensing grid parameters to identify the distribution parameters of the load and its spatial change vector; according to the operating speed of the system, the spatial change vector is converted into a change sequence on the time axis; based on the change sequence on the time axis, the preset time window is used for extraction and deduction to obtain the dynamic change trend of the load.

[0007] In a possible implementation, a sensing network is established based on the dynamic change source of the driven load. This network includes sensing grid parameters to define the spatial grid distribution of the monitoring sensors. The following processes are performed: upstream generation source and transmission change source are decomposed according to the change source of the driven load to obtain the influence operating parameters of the upstream generation source and transmission change source; sensors are deployed based on the influence operating parameters; and sensing grid parameters are determined according to the acquisition coordinates and range mapping relationship between the sensors and the monitoring source to construct a sensing network covering the load transmission path.

[0008] In a possible implementation, based on the system's operating speed, the spatial change vector is converted into a time-based change sequence, and the following processing is performed: based on the operating speeds of the upstream generating source and the transporting change source, the flight time required for each displacement in the spatial change vector to reach each driving point is calculated; based on the flight time, the discrete displacements in the spatial change vector are connected and sorted in chronological order to construct a time-ordered change sequence, thus obtaining the time-based change sequence.

[0009] In a possible implementation, based on the change sequence on the time axis, the preset time window is used for extraction and deduction to obtain the dynamic change trend of the load, and the following processing is performed: taking the current moment as the time base point, all load change events within the preset time window are extracted from the change sequence on the time axis; dynamic analysis is performed on the extracted load change events to calculate the theoretical torque value required by the corresponding drive point when each event occurs; all theoretical torque values ​​are arranged in chronological order to generate a continuous trend curve about future torque demand, which serves as the dynamic change trend of the load.

[0010] In a possible implementation, based on the topology, the total load demand is analyzed according to the predicted dynamic change trend, and based on the target speed of the main inverter, a total load and torque coordination relationship is established. The following processing is performed: the predicted dynamic change trend is integrated to calculate the total load torque that the drive system needs to overcome within the preset time window; a torque ratio allocation relationship for each slave inverter is established according to the power weight and / or position weight of each slave inverter in the topology; and the total load and torque coordination relationship is obtained based on the total load torque and the torque ratio allocation relationship.

[0011] In a possible implementation, dynamic torque allocation is performed based on the total load and torque coordination relationship, and a dynamic torque allocation command is generated based on the window period of the dynamic change trend. The following processes are executed: based on the target speed of the main inverter and the speed-torque characteristic curve, the reference torque value required to maintain the target speed is calculated; the reference torque value of the main inverter is subtracted from the total load torque to obtain the remaining load torque that needs to be shared by each slave inverter; the remaining load torque is matched and decomposed according to the torque ratio allocation relationship to obtain a dynamic torque allocation strategy; the dynamic torque allocation command is generated based on the arrival time of the target load adjustment and the adjustment window period of the current time in the dynamic change trend, combined with the dynamic torque allocation strategy.

[0012] In a possible implementation, based on the power weight and / or position weight of each slave inverter in the topology, a torque ratio allocation relationship for each slave inverter is established, and the following processing is performed: obtaining the power capacity coefficient and / or spatial position coefficient of each slave inverter defined in the topology; constructing an allocation function with power balance as the optimization objective; using the allocation function, combined with the power capacity coefficient and / or spatial position coefficient of each slave inverter, calculating the optimal torque allocation ratio for the optimization objective, and obtaining the torque ratio allocation relationship.

[0013] In a possible implementation, the power capacity coefficient and / or spatial position coefficient of each slave inverter defined in the topology are obtained, and then the following processing is performed: the spatial coordinates of the load mass center are calculated based on the real-time load distribution information; the dynamic load position weight is calculated in real time based on the spatial coordinates and the position of the motor driven by each slave inverter; and the initial spatial position coefficient calculated based on the fixed distance parameter is corrected and adjusted using the dynamic load position weight.

[0014] This application also provides a dynamic load regulation and control system for a high-voltage frequency converter, comprising: a load dynamic change trend prediction module, used to acquire the distribution information of the driven load and predict the load dynamic change trend within a preset time window; a system configuration information acquisition module, used to acquire system configuration information, the system configuration information including a topology consisting of one main frequency converter and at least one slave frequency converter; a coordination relationship establishment module, used to analyze the total load demand based on the topology and the predicted dynamic change trend, and establish a total load and torque coordination relationship based on the target speed of the main frequency converter; and a dynamic torque distribution instruction generation module, used to perform dynamic torque distribution based on the total load and torque coordination relationship, and generate a dynamic torque distribution instruction based on the window period of the dynamic change trend, wherein the dynamic torque distribution instruction is used to instruct each slave frequency converter to adjust its torque output in advance before the dynamic load actually acts on the corresponding motor.

[0015] This application proposes a dynamic load regulation and control method and system for a high-voltage frequency converter. First, it acquires the distribution information of the driven load and predicts the dynamic load change trend within a preset time window. Then, it acquires system configuration information, including a topology consisting of one master frequency converter and at least one slave frequency converter. Next, based on the topology, it analyzes the total load demand according to the predicted dynamic change trend and establishes a total load-torque coordination relationship based on the target speed of the master frequency converter. Finally, it performs dynamic torque allocation based on the total load-torque coordination relationship and generates a dynamic torque allocation command based on the window period of the dynamic change trend. This dynamic torque allocation command instructs each slave frequency converter to adjust its torque output in advance before the dynamic load actually acts on the corresponding motor. This achieves the technical effect of improving the adaptability and accuracy of torque output. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0017] Figure 1 This is a flowchart illustrating a dynamic load regulation and control method for a high-voltage frequency converter provided in an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of the structure of a dynamic load regulation and control system for a high-voltage frequency converter provided in an embodiment of this application.

[0019] Figure labeling: Load dynamic change trend prediction module 10, system configuration information acquisition module 20, collaborative relationship establishment module 30, dynamic torque distribution command generation module 40. Detailed Implementation

[0020] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments; however, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides a dynamic load regulation and control method for a high-voltage frequency converter, such as... Figure 1 As shown, the method includes: Step S100: Obtain the distribution information of the driven load and predict the dynamic change trend of the load within a preset time window.

[0024] Specifically, load distribution information refers to the collection of information such as quantity, weight, and density of the driven load, such as material on a conveyor belt, at different locations, reflecting the spatial distribution of the load. Various types of sensors are installed at key locations in the driven system to acquire load distribution information. For example, pressure sensors can be installed at the beginning, middle, and end of the conveyor belt to measure the pressure exerted by the material on the belt in real time. Pressure data at different locations reflects the load distribution at those locations; for instance, higher pressure at the beginning indicates greater material accumulation there. Alternatively, vision sensors can be installed to analyze the shape and thickness of the material accumulation on the conveyor belt using image recognition technology, thereby determining the load distribution.

[0025] This method combines historical and real-time data to predict dynamic load changes. Specifically, it collects historical data on load changes over a past period and combines it with real-time data acquired from sensors. Time series analysis or machine learning algorithms are then used to learn and analyze the data, uncovering patterns in load changes. This allows for the prediction of dynamic load changes within a preset time window, such as whether the load increases, decreases, or remains stable, and the rate of change. The preset time window is a pre-defined period that defines the time range for predicting dynamic load changes; it can range from a few seconds to tens of seconds in the future, determined based on the specific application scenario and system response requirements.

[0026] In one possible implementation, the distribution information of the driven load is acquired, and the dynamic change trend of the load within a preset time window is predicted. Step S100 further includes step S110, establishing a sensing network based on the sources of dynamic changes in the driven load. This network includes sensing grid parameters used to define the spatial grid distribution of the monitoring sensors. Specifically, the root causes of dynamic changes in the driven load are analyzed, such as uneven ore loading at the beginning of the conveyor belt, or large differences in weight and volume between different batches of ore. Through the analysis of these sources, the areas and parameters that need to be monitored are determined. Based on the size, shape, and characteristics of the dynamic changes in the load of the driven system, the driven system is divided into multiple regular or irregular spatial grids. For example, for a conveyor belt that is 100 meters long and 2 meters wide, it can be divided into 400 grids, with each grid consisting of 1 meter in length and 0.5 meters in width. A unique identifier is defined for each grid, and the parameters to be monitored within each grid, such as pressure, weight, and material height, are determined. Simultaneously, the installation locations of the sensors are planned to ensure that each grid can be effectively monitored.

[0027] Step S120: The sensing network is used to acquire sensing parameters in various dimensions, which are then mapped to the sensing grid parameters to identify the load distribution parameters and their spatial variation vector. Specifically, various sensors installed in the sensing network collect multi-dimensional sensing parameters such as pressure, weight, and material height from each grid in real time. The sensors convert the collected physical signals into electrical signals and transmit them to the data acquisition system. The data acquisition system amplifies and filters the electrical signals before converting them into digital signals. The collected sensing parameters in each dimension are mapped to the corresponding sensing grid parameters according to the grid identifier. For example, the pressure value of each grid is stored in the database record corresponding to that grid. By comparing and analyzing the parameters collected at different times, the spatial variation vector of the load within each grid is calculated. This variation vector can represent the amount and direction of change of the load in the horizontal and vertical directions.

[0028] Step S130: Based on the system's operating speed, the spatial change vector is converted into a time-sequence change sequence. Specifically, the system's operating speed is acquired in real time using an encoder or other speed measuring device mounted on the drive motor. For example, the encoder can output pulse signals; by calculating the number of pulses per unit time and combining this with the encoder's resolution, the system's operating speed can be calculated. Based on the system's operating speed and the size of the spatial grid, a spatial-temporal correspondence is established, and the spatial change vector of the load within each grid is converted into a time-sequence change sequence according to the system's operating direction and temporal order. For example, if the system's operating speed is 1 m / s and the length of one grid is 0.8 meters, then the load change within that grid will affect the next grid within 0.8 seconds.

[0029] Step S140: Based on the change sequence on the time axis, the dynamic change trend of the load is obtained by extraction and deduction using the preset time window. Specifically, a time window is set according to the actual application requirements and the system response time. For example, if it is necessary to predict load changes 5 seconds in advance so that the system has enough time to adjust, then the time window can be set to 5 seconds. Data within the most recent preset time window is extracted from the change sequence on the time axis, and time series analysis algorithms or machine learning algorithms are used to process and analyze the data. By learning from historical and current data, the patterns of load changes are discovered, thereby predicting the dynamic change trend of the load in the future, such as whether the load increases, decreases, or remains stable, and the rate of change.

[0030] In one possible implementation, a sensing network is established based on the dynamic sources of change in the driven load. This network includes sensing grid parameters to define the spatial grid distribution of the monitoring sensors. Step S110 further includes step S111, which decomposes the upstream generation source and the transport change source according to the source of change in the driven load, obtaining the influence parameters of the upstream generation source and the transport change source. Specifically, taking a material conveying system in industrial production as an example, assuming the driven load is material on a conveyor belt, various data during system operation are first collected, including material delivery records, conveyor belt operation logs, equipment fault records, etc. Through on-site observation, communication with operators, and data analysis, potential sources of material load changes are determined. For example, analysis reveals that uneven material delivery, conveyor belt speed fluctuations, and material accumulation or scattering during transport can all lead to load changes.

[0031] The identified sources of load variation are decomposed into upstream generation sources and transport variation sources. Upstream generation sources mainly refer to the generation and preparation stages of materials before they enter the conveying system, such as material production equipment and feeding devices. Transport variation sources are factors that affect the load during material transport, such as the conveyor belt drive motor, tensioning device, and support rollers. For example, in the aforementioned material conveying system, the unstable operation of the material feeding device is an upstream generation source; fluctuations in the conveyor belt drive motor speed and changes in friction between the conveyor belt and rollers are transport variation sources.

[0032] For both upstream generation sources and conveying variation sources, the operating parameters affecting load changes are determined. For upstream generation sources, such as feeders, the influencing parameters include feeding speed, feeding rate, and feeding frequency. For conveying variation sources, such as conveyor belt drive motors, the influencing parameters include motor speed, torque, and power. The relationship between these parameters and load changes is quantified through experimental testing, theoretical analysis, and historical data mining. For example, by changing the feeder's feeding speed, the changes in material load on the conveyor belt are measured, and a mathematical model between feeding speed and load is established.

[0033] Step S112: Deploy sensors based on the influencing operating parameters. Specifically, select sensors capable of measuring these parameters according to the determined influencing operating parameters. For example, a flow sensor can be selected for the feeder's feeding speed; a speed sensor can be selected for the conveyor belt drive motor's rotational speed; and a tension sensor can be selected for the conveyor belt's tension, etc. Determine the sensor installation locations based on the distribution and characteristics of the influencing operating parameters within the system. For parameter measurement from upstream sources, sensors should be installed close to where materials are generated and prepared. For example, a flow sensor should be installed at the feeder's outlet to accurately measure the feed rate. For parameter measurement from sources of conveying variation, sensors should be installed in locations that directly reflect the impact of parameter changes on the load. For example, a speed sensor should be installed on the output shaft of the conveyor belt drive motor, and a tension sensor should be installed at a critical support point of the conveyor belt.

[0034] Step S113: Based on the acquisition coordinates and range mapping relationship between the sensors and the monitoring sources, determine the sensing grid parameters and construct a sensing network covering the load transfer path. Specifically, determine the acquisition coordinates and range mapping relationship between each sensor and the monitored load change source. Acquisition coordinates refer to the spatial position coordinates of the sensor in the system, and the range mapping relationship refers to the range of load changes that the sensor can effectively monitor. For example, for a pressure sensor installed on a conveyor belt, its acquisition coordinates are the sensor's installation position on the conveyor belt, and the range mapping relationship is the conveyor belt area within a certain radius centered on the sensor. Through experiments and theoretical analysis, determine the effective monitoring range of each sensor to ensure there are no blind spots between sensors and avoid excessive overlap.

[0035] Based on the coordinate and range mapping relationship between the sensors and the monitoring source, the load transfer path is divided into multiple sensing grids. A unique identifier is defined for each sensing grid, and its corresponding sensor number and monitoring parameters are recorded. All sensing grids and their related information are integrated to construct a sensing network covering the load transfer path. Through this sensing network, load information within each sensing grid is acquired in real time, and load changes along the entire load transfer path are monitored and analyzed.

[0036] In one possible implementation, based on the system's operating speed, the spatial change vector is converted into a time-sequence change sequence. Step S130 further includes step S131, calculating the flight time required for each displacement in the spatial change vector to reach each driving point based on the operating speeds of the upstream generating source and the conveying change source. Specifically, it is assumed that the material generated by the upstream generating source flows into the conveying system at a certain speed, and the conveying change source transports the material from one location to another at its own speed. For each displacement in the spatial change vector, based on the distance between its location and each driving point, and the operating speeds of the upstream generating source and the conveying change source, the time required for that displacement to reach each driving point is calculated using the formula: Flight Time = Distance / Speed.

[0037] Step S132: Based on the flight time, the discrete displacements in the spatial change vector are connected and sorted in chronological order to construct a time-ordered change sequence, thus obtaining the change sequence on the time axis. Specifically, based on the calculated flight time of each displacement to each drive point, a time tag is created for each displacement to record its arrival time at different drive points. All displacements are sorted according to their time tags, starting from the earliest arrival time at the drive point, and the displacements are connected sequentially. A linked list or array in a data structure can be used to store these time-ordered displacements. The sorted displacements are plotted on the time axis in chronological order, with the horizontal axis representing time and the vertical axis representing the magnitude of the displacement, such as the value of parameters like material thickness and density, thereby constructing a change sequence on the time axis. This change sequence demonstrates the change of load over time.

[0038] In one possible implementation, based on the change sequence on the time axis, the preset time window is used for extraction and deduction to obtain the dynamic change trend of the load. Step S140 further includes step S141, using the current moment as the time base point, extracting all load change events within the preset time window in the change sequence on the time axis. Specifically, the current moment is obtained by the system real-time clock and is the starting reference point for the entire analysis process. Using the current moment as the reference, all load change events within the preset time window in the future are extracted from the time axis. These load change events can be increases, decreases, sudden changes, etc., in the load. The occurrence of an event is determined by detecting changes in the load value in the change sequence. For example, when the change in the load value exceeds a set threshold, a load change event is considered to have occurred.

[0039] Step S142 involves performing a dynamic analysis on the extracted load change events, calculating the theoretical torque value required at the corresponding drive point for each event. Specifically, based on the system's physical structure and working principle, a dynamic relationship between the load and the drive point torque is established. For example, in a simple rotating machinery system, the load torque can be expressed as the product of the moment of inertia and angular acceleration. The theoretical torque required at the drive point, in addition to overcoming the load torque, also needs to account for other factors such as frictional torque.

[0040] For each extracted load change event, its relevant parameters are obtained, such as load magnitude, rate of change, and duration. These parameters can be directly read from the change sequence on the time axis or obtained through further calculation. For example, the rate of load change can be obtained by calculating the difference and time interval between adjacent data points in the load change sequence. Substituting the relevant parameters of the load change event into the established dynamic relationship, the theoretical torque value required at the corresponding drive point when each event occurs is calculated.

[0041] Step S143: Arrange all theoretical torque values ​​in chronological order to generate a continuous trend curve representing the future torque demand, as the dynamic trend of the load change. Specifically, arrange all calculated theoretical torque values ​​in chronological order. Since load change events may occur discretely, interpolation is required to generate a continuous trend curve. For example, using linear interpolation, the torque value at the intermediate moment between two adjacent theoretical torque values ​​is calculated based on the time interval and torque difference, thus filling the gaps between data points. Plot the sorted and interpolated data on the x-axis (time) and the theoretical torque value on the y-axis to create a continuous curve. This curve shows the change in the drive point torque demand over time within a preset future time window, i.e., the dynamic trend of the load change.

[0042] Step S200: Obtain system configuration information, which includes the topology consisting of one main frequency converter and at least one slave frequency converter.

[0043] Specifically, the system configuration information is obtained by reading a configuration file pre-stored in the control system's storage device. The configuration file records information such as the model, parameters, communication addresses, and topological connections between the main and slave frequency converters. For example, the configuration file might show that the system uses one main frequency converter from Company A and two slave frequency converters from Company B. The main frequency converter is connected to the two slave frequency converters via Ethernet. The main frequency converter's communication address is 192.168.1.1, the first slave frequency converter's address is 192.168.1.2, and the second slave frequency converter's address is 192.168.1.3. During system startup or initialization, the control system automatically reads this configuration file and parses out the necessary information. Based on the connection descriptions in the configuration file, the electrical connection methods and control relationships between the main and slave frequency converters are determined. For example, the main frequency converter interacts with the slave frequency converter via a communication bus. The main frequency converter is responsible for sending control commands and receiving status information from the slave frequency converter. The slave frequency converter adjusts its own output parameters according to the commands of the main frequency converter, forming an organic whole to coordinate the control of motor operation.

[0044] Step S300: Based on the topological relationship, analyze the total load demand according to the predicted dynamic change trend, and establish the total load and torque coordination relationship based on the target speed of the main frequency converter.

[0045] Specifically, based on the connection method between the master and slave frequency converters and the motors in the topology and the driving capacity of each motor, combined with the predicted dynamic load change trend, the total load capacity required in the entire driven system is calculated. That is, the total load required to meet production requirements at a specific moment. For example, if the topology shows that the master frequency converter drives one motor and two slave frequency converters drive two other motors respectively, and the rated power and efficiency of each motor are known, the total power required at a future moment is predicted based on the load change trend, and then the total load demand is calculated.

[0046] Using the target speed of the main inverter as a benchmark, and combining the mechanical characteristics of the motor and the parameters of the driven system, a mathematical model is established to describe the relationship between the total load and the output torque of each inverter. For example, based on the torque-speed characteristic equation of the motor and parameters such as the transmission ratio, the magnitude and proportional relationship of the torque that the main and slave inverters should output in order to maintain the target speed of the main inverter under different total load conditions are derived, i.e., the total load and torque coordination relationship.

[0047] In one possible implementation, based on the topological relationship, the total load demand is analyzed according to the predicted dynamic change trend, and a coordination relationship between the total load and torque is established based on the target speed of the main frequency converter. Step S300 further includes step S310, which involves performing an integral operation on the predicted dynamic change trend to calculate the total load torque that the drive system needs to overcome within the preset time window. Specifically, the dynamic change trend is a trend curve. A suitable function model, such as a polynomial function or exponential function, is selected for fitting based on the data points on the trend curve using a data fitting method. The integration interval is determined by the preset time window. Assuming the preset time window is from t1 to t2, the integration operation is to integrate the function of the load torque demand within the time interval [t1, t2]. Based on the determined function expression and integration interval, the integral formula is used for calculation, and the result is the total load torque that the drive system needs to overcome within the preset time window.

[0048] Step S320: Establish the torque proportional allocation relationship for each slave frequency converter based on its power weight and / or position weight in the topology. Specifically, determine the power weight based on the rated power or actual operating power of the motor connected to each slave frequency converter. Motors with higher rated power have stronger driving capabilities and can bear a larger proportion of torque allocation. Determine the position weight based on the influence of the position of the controlled equipment in the system on the load. For example, in a conveyor belt system, the position weight of motors closer to the material inlet can be set higher, while the position weight of motors farther from the material inlet can be lower. The specific position weight can be adjusted based on practical experience and system simulation results. The torque proportional allocation relationship for each slave frequency converter can be established solely based on power weight or position weight, or a weighted average method can be used to combine power weight and position weight to establish the torque proportional allocation relationship based on the combined weight, where the weight is proportional to the torque proportional allocation.

[0049] Step S330: Obtain the total load and torque coordination relationship based on the total load torque and the torque proportional distribution relationship. Specifically, calculate the torque to be allocated to each slave inverter based on the total load torque and the torque proportional distribution relationship. The calculation formula is: Torque to be allocated to each slave inverter = Torque proportional distribution relationship × Total load torque.

[0050] The target speed of the main frequency converter affects the operating state of the entire drive system. When establishing the total load and torque coordination relationship, it is essential to ensure that the torque allocated to each slave frequency converter meets the target speed requirements of the main frequency converter. For example, if the target speed of the main frequency converter is high, the torque allocation to each slave frequency converter needs to be appropriately increased to ensure that the system has sufficient power to maintain that speed. Combining the allocated torque of each slave frequency converter with the operating parameters of the main frequency converter, such as target speed and output torque, forms a complete total load and torque coordination relationship. This relationship guides the coordinated control of the main and slave frequency converters during actual operation, ensuring stable and efficient operation of the system under different load conditions.

[0051] In one possible implementation, based on the power weight and / or position weight of each slave inverter in the topology, a torque proportional distribution relationship is established for each slave inverter. Step S320 further includes step S321, obtaining the power capacity coefficient and / or spatial position coefficient of each slave inverter defined in the topology. Specifically, the topology records key parameters such as the rated power and maximum power of the motors connected to each slave inverter. The power capacity coefficient is determined based on the rated power of the motor; that is, the power capacity coefficient of each slave inverter is equal to the ratio of the rated power of that inverter to the sum of the rated power of all slave inverters. The spatial position coefficient is related to the physical position of the equipment controlled by each slave inverter in the system. In some systems with strict requirements for load distribution, such as long-distance conveyor belt systems, the load borne by motors at different positions is different, and the spatial position coefficient can be determined through on-site measurement, simulation analysis, and other methods.

[0052] Step S322: Construct an allocation function with power balance as the optimization objective. Specifically, power balance refers to ensuring that the torque allocated to each slave inverter during torque distribution enables the entire system to operate efficiently and stably, avoiding situations where some motors are overloaded while others are lightly loaded. Based on the power capacity coefficient and / or spatial location coefficient, an allocation function is constructed. The goal of the allocation function is to coordinate the power output of each slave inverter with its power capacity and / or spatial location, thereby achieving power balance.

[0053] Step S323: Using the allocation function, combined with the power capacity coefficient and / or spatial location coefficient of each slave inverter, calculate the optimal torque allocation ratio for the optimization objective, and obtain the torque allocation ratio relationship. Specifically, an optimization algorithm is used to find the torque allocation ratio that best balances the power of the allocation function. Taking gradient descent as an example, the torque allocation ratio is first initialized by randomly generating a set of initial values, while setting the learning rate and the number of iterations. In each iteration, the gradient of the allocation function with respect to the torque allocation ratio is calculated, and then the torque allocation ratio is updated according to the gradient descent formula. The iteration process is repeated until a preset number of iterations is reached or the value of the allocation function converges to a small range. After iterative calculation, the optimal torque allocation ratio for the optimization objective is obtained, thereby establishing the torque allocation ratio relationship for each slave inverter.

[0054] In one possible implementation, after obtaining the power capacity coefficient and / or spatial position coefficient of each slave inverter defined in the topology, step S320 further includes step S324, calculating the spatial coordinates of the load mass center based on the real-time acquired load distribution information. Specifically, taking a load distributed on a two-dimensional plane as an example, the load is divided into several parts, and for each part, its mass and position coordinates in the plane are known. Specifically, each part is first numbered sequentially, and for each part corresponding to the number, it has its own mass, as well as horizontal and vertical coordinates in the two-dimensional plane. To find the horizontal coordinates of the entire load mass center, firstly, the mass of each part is multiplied by its own horizontal coordinate, and then the products of all parts are added together to obtain a sum; next, the masses of all parts are added together to obtain the sum of the masses of all parts; finally, the sum of the previously obtained products is divided by the sum of the masses, and the result is the horizontal coordinates of the entire load mass center. Similarly, when calculating the vertical coordinates of the entire load's center of mass, we first multiply the mass of each part by its own vertical coordinate, then sum the products of all parts; the calculation method for the total mass remains unchanged; finally, we divide the sum of the vertical product by the total mass to obtain the vertical coordinates of the entire load's center of mass. The principle is similar for three-dimensional space.

[0055] Step S325: Calculate the dynamic load position weight in real time based on the spatial coordinates and the positions of each motor driven by the frequency converter. Specifically, obtain the motor coordinate information from the system design drawings, and calculate the distance from the load mass center to each motor based on the spatial coordinates of the load mass center and the motor position coordinates. The dynamic load position weight can be calculated based on the reciprocal of the distance or other distance-related functions to ensure that the motor closer to the load mass center bears a greater load weight.

[0056] Step S326: The initial spatial position coefficients calculated based on fixed distance parameters are corrected and adjusted using the dynamic load position weights. Specifically, the initial spatial position coefficients are calculated based on fixed distance parameters, which are determined during system design and installation, without considering changes in real-time load distribution. A weighted average method is used to correct and adjust the initial spatial position coefficients according to the dynamic load position weights, resulting in the corrected spatial position coefficients.

[0057] Step S400: Based on the total load and torque coordination relationship, perform dynamic torque distribution and generate a dynamic torque distribution instruction based on the window period of the dynamic change trend. The dynamic torque distribution instruction is used to instruct each slave frequency converter to adjust the torque output in advance before the dynamic load actually acts on the corresponding motor.

[0058] Specifically, based on the relationship between total load and torque, the total torque demand is allocated to the main inverter and each slave inverter according to a certain allocation strategy. For example, a load-proportion-based allocation method can be used, distributing the total torque according to the proportion of load borne by each motor; or an optimization algorithm can be used to optimize the torque allocation while meeting system performance requirements, such as making the load rate of each motor as balanced as possible. Based on the window period of dynamic change trends and combined with the dynamic torque allocation results, specific control commands are generated. These commands contain the torque value that each slave inverter needs to adjust, as well as the adjustment time information. For example, the torque adjustment command can be encapsulated into a data frame through a communication protocol and sent to each slave inverter. The command indicates that at a certain future time, the slave inverter should adjust the output torque to a specified value to adapt to the dynamic changes in load.

[0059] In one possible implementation, dynamic torque allocation is performed based on the total load and torque coordination relationship, and a dynamic torque allocation command is generated based on the window period of the dynamic change trend. Step S400 further includes step S410, calculating the reference torque value required to maintain the target speed based on the speed-torque characteristic curve, according to the target speed of the main frequency converter. Specifically, the speed-torque characteristic curve describes the relationship between the torque that the motor driven by the main frequency converter can output or needs to input at different speeds. This curve is obtained through experimental testing. In the experiment, the motor is mounted on a specific test platform, and different loads are applied to the motor using equipment such as a dynamometer, while the motor's operating speed is adjusted by the frequency converter. The torque values ​​corresponding to the stable operation of the motor at different speeds are recorded, and these data are plotted as a curve to obtain the speed-torque characteristic curve.

[0060] Once the target speed is set for the main frequency converter, the torque value at the corresponding speed is retrieved from the pre-stored speed-torque characteristic curve. If the target speed is between the measurement points of the characteristic curve, the interpolation method can be used for calculation.

[0061] Step S420: Subtract the reference torque value of the main frequency converter from the total load torque to obtain the remaining load torque that needs to be shared by all slave frequency converters. Specifically, the remaining load torque shared by all slave frequency converters is equal to the total load torque minus the reference torque value of the main frequency converter.

[0062] Step S430: The remaining load torque is matched and decomposed according to the torque ratio distribution relationship to obtain a dynamic torque distribution strategy. Specifically, the torque distribution ratio is multiplied by the remaining load torque, and the remaining load torque is decomposed to obtain the torque that each slave inverter should bear, i.e., the dynamic torque distribution strategy.

[0063] Step S440: Based on the adjustment window period between the arrival time of the target regulated load and the current time in the dynamic change trend, and in conjunction with the dynamic torque distribution strategy, the dynamic torque distribution command is generated. Specifically, the interval between the arrival time of the target regulated load and the current time in the dynamic change trend is the adjustment window period. According to the adjustment window period and the dynamic torque distribution strategy, the dynamic torque distribution command is generated, which includes the torque value that each slave inverter needs to output and the time curve of torque change. For example, to ensure the system smoothly reaches the new torque distribution state within the adjustment window period, a trapezoidal acceleration / deceleration curve can be used to control the torque change. In the initial stage, the output torque of each slave inverter is gradually increased with a certain acceleration; in the middle stage, the torque is kept stable; and as the arrival time of the target regulated load approaches, the torque change rate is gradually decreased with a certain deceleration to ensure a smooth system transition. The control system sends the generated dynamic torque distribution command to each slave inverter, and the slave inverter adjusts its own output torque according to the command.

[0064] This application's embodiments employ techniques such as acquiring driven load distribution information and predicting the dynamic change trend of the load within a preset time window, acquiring system configuration information including the master-slave inverter topology, analyzing the total load demand based on the topology relationship and the predicted trend, establishing a total load and torque coordination relationship based on the master inverter's target speed, performing dynamic torque allocation based on this relationship, generating dynamic torque allocation commands, and allowing each slave inverter to adjust its torque output in advance. These techniques solve the technical problems of existing high-voltage inverter regulation and control being unable to adapt to dynamic load changes and having unreasonable torque allocation, achieving the technical effect of improving the adaptability and accuracy of torque output.

[0065] In the above text, refer to Figure 1 A dynamic load regulation and control method for a high-voltage frequency converter according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2 A dynamic load regulation and control system for a high-voltage frequency converter according to an embodiment of the present invention is described.

[0066] A dynamic load regulation and control system for a high-voltage frequency converter according to an embodiment of the present invention addresses the technical problems of existing high-voltage frequency converter regulation and control systems, such as inability to adapt to dynamic load changes and unreasonable torque distribution, thereby improving the adaptability and accuracy of torque output. The dynamic load regulation and control system for a high-voltage frequency converter includes: a load dynamic change trend prediction module 10, a system configuration information acquisition module 20, a cooperative relationship establishment module 30, and a dynamic torque distribution command generation module 40.

[0067] The load dynamic change trend prediction module 10 is used to acquire the distribution information of the driven load and predict the load dynamic change trend within a preset time window; the system configuration information acquisition module 20 is used to acquire system configuration information, which includes a topology consisting of one main inverter and at least one slave inverter; the coordination relationship establishment module 30 is used to analyze the total load demand based on the topology and the predicted dynamic change trend, and establish a total load and torque coordination relationship based on the target speed of the main inverter; the dynamic torque distribution instruction generation module 40 is used to perform dynamic torque distribution based on the total load and torque coordination relationship, and generate a dynamic torque distribution instruction based on the window period of the dynamic change trend, wherein the dynamic torque distribution instruction is used to instruct each slave inverter to adjust the torque output in advance before the dynamic load actually acts on the corresponding motor.

[0068] The detailed description of the specific configuration of the load dynamic change trend prediction module 10 is explained as follows: As mentioned above, the module acquires the distribution information of the driven load and predicts the load dynamic change trend within a preset time window. The load dynamic change trend prediction module 10 may further include: a sensing network establishment unit for establishing a sensing network based on the dynamic change source of the driven load, including sensing grid parameters for defining the monitoring sensing spatial grid distribution; a parameter mapping unit for acquiring sensing parameters of each dimension using the sensing network, mapping them to the sensing grid parameters, and identifying the load distribution parameters and their spatial change vectors; a vector conversion unit for converting the spatial change vectors into a change sequence on the time axis according to the system's operating speed; and an extraction and deduction unit for extracting and deducing based on the change sequence on the time axis using the preset time window to obtain the load dynamic change trend.

[0069] Specifically, a sensing network is established based on the dynamic change sources of the driven load. This network includes sensing grid parameters used to define the spatial grid distribution of the monitoring sensors. The sensing network establishment unit may further include: a source decomposition subunit for decomposing upstream generation sources and transmission change sources according to the change sources of the driven load, and obtaining the influence operating parameters of the upstream generation sources and transmission change sources; a sensor deployment subunit for deploying sensors based on the influence operating parameters; and a sensing grid parameter determination subunit for determining the sensing grid parameters according to the acquisition coordinates and range mapping relationship between the sensors and the monitoring sources, and constructing a sensing network covering the load transmission path.

[0070] Specifically, based on the system's operating speed, the spatial change vector is converted into a time-sequence change sequence. The vector conversion unit may further include: a flight time calculation subunit for calculating the flight time required for each displacement in the spatial change vector to reach each driving point based on the operating speeds of the upstream generating source and the transporting change source; and a change sequence construction subunit for connecting and sorting the discrete displacements in the spatial change vector according to the time sequence based on the flight time, thereby constructing a time-ordered change sequence and obtaining the time-sequence change sequence.

[0071] Specifically, based on the change sequence on the time axis, the load dynamic change trend is obtained by extraction and deduction using the preset time window. The extraction and deduction unit may further include: a load change event extraction subunit, which uses the current moment as the time base point to extract all load change events within the preset time window from the change sequence on the time axis; a dynamic analysis subunit, which performs dynamic analysis on the extracted load change events and calculates the theoretical torque value required by the corresponding drive point when each event occurs; and a trend curve generation subunit, which arranges all theoretical torque values ​​in chronological order to generate a continuous trend curve about future torque demand as the load dynamic change trend.

[0072] The detailed description of the specific configuration of the collaborative relationship establishment module 30 is explained as follows: As mentioned above, based on the topology, the total load demand is analyzed according to the predicted dynamic change trend, and based on the target speed of the main inverter, a collaborative relationship between the total load and torque is established. The collaborative relationship establishment module 30 may further include: an integral operation unit for performing integral operation on the predicted dynamic change trend to calculate the total load torque that the drive system needs to overcome within the preset time window; a torque ratio allocation relationship establishment unit for establishing the torque ratio allocation relationship of each slave inverter according to the power weight and / or position weight of each slave inverter in the topology; and a total load and torque collaborative relationship acquisition unit for obtaining the total load and torque collaborative relationship according to the total load torque and the torque ratio allocation relationship.

[0073] The specific configuration of the dynamic torque distribution instruction generation module 40 is described in detail below: As mentioned above, dynamic torque distribution is performed based on the total load and torque coordination relationship, and a dynamic torque distribution instruction is generated based on the window period of the dynamic change trend. The dynamic torque distribution instruction generation module 40 may further include: a reference torque value calculation unit for calculating the reference torque value required to maintain the target speed based on the speed-torque characteristic curve of the main inverter; a remaining load torque calculation unit for subtracting the reference torque value of the main inverter from the total load torque to obtain the remaining load torque that needs to be shared by each slave inverter; a matching decomposition unit for matching and decomposing the remaining load torque according to the torque ratio distribution relationship to obtain a dynamic torque distribution strategy; and a dynamic torque distribution instruction generation unit for generating the dynamic torque distribution instruction based on the arrival time of the target adjustment load and the adjustment window period of the current time in the dynamic change trend, combined with the dynamic torque distribution strategy.

[0074] Specifically, based on the power weights and / or position weights of each slave inverter in the topology, a torque proportional allocation relationship is established for each slave inverter. The torque proportional allocation relationship establishment unit may further include: a coefficient acquisition subunit for acquiring the power capacity coefficients and / or spatial position coefficients of each slave inverter defined in the topology; an allocation function construction subunit for constructing an allocation function with power balance as the optimization objective; and a torque allocation ratio calculation subunit for using the allocation function, combined with the power capacity coefficients and / or spatial position coefficients of each slave inverter, to calculate the optimal torque allocation ratio for the optimization objective, thereby obtaining the torque proportional allocation relationship.

[0075] The torque proportional distribution relationship establishment unit may further include: a spatial coordinate calculation subunit for calculating the spatial coordinates of the load mass center based on the real-time acquired load distribution information; a dynamic load position weight calculation subunit for calculating the dynamic load position weight in real time based on the spatial coordinates and the position of the motor driven by each slave frequency converter; and a spatial position coefficient correction subunit for correcting and adjusting the initial spatial position coefficient calculated based on the fixed distance parameter using the dynamic load position weight.

[0076] The dynamic load regulation and control system for a high-voltage frequency converter provided in this embodiment of the invention can execute the dynamic load regulation and control method for a high-voltage frequency converter provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0077] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0078] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A dynamic load regulation and control method for a high-voltage frequency converter, characterized in that, include: Obtain the distribution information of the driven load and predict the dynamic change trend of the load within a preset time window; Obtain system configuration information, which includes a topology consisting of one master inverter and at least one slave inverter; Based on the aforementioned topological relationship, the total load demand is analyzed according to the predicted dynamic change trend, and a coordinated relationship between total load and torque is established based on the target speed of the main frequency converter. Based on the total load and torque coordination relationship, dynamic torque allocation is performed, and a dynamic torque allocation instruction is generated based on the window period of the dynamic change trend. The dynamic torque allocation instruction is used to instruct each slave frequency converter to adjust the torque output in advance before the dynamic load actually acts on the corresponding motor. Specifically, based on the aforementioned topological relationship, the total load demand is analyzed according to the predicted dynamic change trend, and based on the target speed of the main frequency converter, a coordinated relationship between total load and torque is established, including: The predicted dynamic change trend is integrated to calculate the total load torque that the drive system needs to overcome within the preset time window. Based on the power weight and position weight of each slave inverter in the topology, establish the torque ratio distribution relationship of each slave inverter. Based on the total load torque and the torque ratio distribution relationship, the total load and torque coordination relationship is obtained; Specifically, based on the total load and torque coordination relationship, dynamic torque allocation is performed, and dynamic torque allocation instructions are generated based on the window period of the dynamic change trend, including: Based on the target speed of the main frequency converter, and using the speed-torque characteristic curve, calculate the reference torque value required to maintain the target speed. Subtracting the reference torque value of the main frequency converter from the total load torque yields the remaining load torque that needs to be shared by all slave frequency converters. The remaining load torque is matched and decomposed according to the torque ratio distribution relationship to obtain a dynamic torque distribution strategy; Based on the arrival time of the target load and the adjustment window period of the current time in the dynamic trend, the dynamic torque distribution command is generated in conjunction with the dynamic torque distribution strategy.

2. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 1, characterized in that, Obtain the distribution information of the driven load and predict the dynamic change trend of the load within a preset time window, including: Based on the dynamic change sources of the driven load, a sensing network is established, which includes sensing grid parameters to define the grid distribution of the monitoring sensing space. The sensory network is used to obtain sensory parameters in various dimensions, which are then mapped to the sensory grid parameters to identify the load distribution parameters and their spatial variation vector. Based on the system's operating speed, the spatial change vector is converted into a temporal change sequence; Based on the change sequence on the time axis, the preset time window is used to extract and extrapolate, thereby obtaining the dynamic change trend of the load.

3. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 2, characterized in that, Based on the dynamic changes of the driven load, a sensing network is established, including sensing grid parameters used to define the grid distribution of the monitoring sensing space, including: Based on the source of change in the driven load, the upstream generation source and the transmission change source are decomposed to obtain the operating parameters affected by the upstream generation source and the transmission change source. Sensors are deployed based on the aforementioned influencing operating parameters; Based on the mapping relationship between the acquisition coordinates and range of the sensors and monitoring sources, the parameters of the sensing grid are determined, and a sensing network covering the load transmission path is constructed.

4. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 3, characterized in that, Based on the system's operating speed, the spatial change vector is converted into a temporal change sequence, including: Based on the operating speeds of the upstream generating source and the transporting change source, calculate the flight time required for each displacement in the spatial change vector to reach each driving point; Based on the flight time, the discrete displacements in the spatial change vector are connected and sorted in chronological order to construct a change sequence ordered by time, thus obtaining the change sequence on the time axis.

5. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 3, characterized in that, Based on the change sequence on the time axis, the dynamic change trend of the load is obtained by extracting and extrapolating using the preset time window, including: Using the current moment as the time base point, extract all load change events within the preset time window in the future from the change sequence on the time axis; Perform dynamic analysis on the extracted load change events and calculate the theoretical torque value required at the corresponding drive point when each event occurs. All theoretical torque values ​​are arranged in chronological order to generate a continuous trend curve for future torque demand, which serves as the dynamic trend of the load change.

6. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 1, characterized in that, Based on the power weight and position weight of each slave inverter in the aforementioned topology, establish the torque proportional distribution relationship of each slave inverter, including: Obtain the power capacity coefficient and spatial location coefficient of each slave inverter defined in the topology; Construct an allocation function with power balance as the optimization objective; Using the allocation function, combined with the power capacity coefficient and spatial location coefficient of each slave frequency converter, the optimal torque allocation ratio of the optimization objective is calculated, and the torque allocation relationship is obtained.

7. The dynamic load regulation and control method for a high-voltage frequency converter according to claim 6, characterized in that, After obtaining the power capacity coefficient and spatial location coefficient of each slave inverter defined in the topology, the process further includes: Calculate the spatial coordinates of the load quality center based on the real-time load distribution information; Based on the spatial coordinates and the positions of the motors driven by each frequency converter, the dynamic load position weight is calculated in real time. The dynamic load position weights are used to correct and adjust the initial spatial position coefficients calculated based on fixed distance parameters.

8. A dynamic load regulation and control system for a high-voltage frequency converter, characterized in that, The system is used to implement the dynamic load regulation and control method for a high-voltage frequency converter according to any one of claims 1-7, the system comprising: The load dynamic change trend prediction module is used to obtain the distribution information of the driven load and predict the load dynamic change trend within a preset time window. The system configuration information acquisition module is used to acquire system configuration information, which includes a topology consisting of one main frequency converter and at least one slave frequency converter. The collaborative relationship establishment module is used to analyze the total load demand based on the topological relationship and the predicted dynamic change trend, and to establish a collaborative relationship between the total load and torque based on the target speed of the main frequency converter. The dynamic torque distribution instruction generation module is used to perform dynamic torque distribution based on the total load and torque coordination relationship, and generate dynamic torque distribution instructions based on the window period of the dynamic change trend. The dynamic torque distribution instructions are used to instruct each slave frequency converter to adjust the torque output in advance before the dynamic load actually acts on the corresponding motor.

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