Communication control method and system of intelligent integrated power supply system

Abstract

This application relates to the cross-disciplinary field of power supply and communication control, and discloses a communication control method and system for an intelligent integrated power supply system. The method includes: acquiring real-time load data of the power supply system; performing dual-loop collaborative optimization consisting of a first adjustment loop and a second adjustment loop; the first adjustment loop calculating the deviation between the control loop refresh frequency and the communication data packet transmission timing, and adjusting the refresh frequency when the deviation exceeds a first threshold; the second adjustment loop acquiring the timing information of feedback signals and command signals, verifying timing consistency, and optimizing the communication data packet transmission timing when a preset consistency condition is not met; determining a synchronization configuration scheme and controlling the operation of the power supply system; collecting operating status data to perform stability assessment, synchronously calibrating frequency parameters and / or timing data, and generating calibrated power supply system parameters. This application improves the real-time response capability and operational stability of the power supply system.

Description

Technical Field

[0001] This application relates to the cross-disciplinary fields of power supply and communication control, and in particular to a communication control method and system for an intelligent integrated power supply system. Background Technology

[0002] In an intelligent integrated power system, there is typically a main controller, a communication unit, and multiple power modules operating in parallel. These components form a complete closed-loop control system through the issuance of control commands and the transmission of status feedback information. When the system is under dynamic load changes, the main controller needs to periodically execute the control algorithm to refresh the control commands, while the communication unit needs to intermittently send and receive communication data packets containing control commands and feedback signals according to preset scheduling rules. Together, these two processes determine the system's response speed and steady-state accuracy to load changes. However, existing control and communication mechanisms are usually designed independently. The periodic execution of the control loop and the intermittent transmission of communication data packets are two asynchronous time sequences, lacking an effective coordination mechanism in their operating cycles.

[0003] In actual operation, the aforementioned asynchronous characteristics can lead to various time misalignment problems. On the one hand, random time deviations can easily occur between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence. When this deviation accumulates to a certain extent, the issuance time of control commands cannot be precisely aligned with the actual state of the physical process, or the communication transmission cannot carry the latest control calculation results, thereby reducing the system's real-time response capability to load changes. On the other hand, even if the refresh cycle of the control loop and the transmission cycle of the communication data packets achieve a certain degree of matching at the time source, the entire closed-loop link, from the transmission of command signals through the communication link to the power module for execution, and then from the power module to the acquisition of feedback signals and their return through the network, may still introduce unexpected time delays due to factors such as channel contention, protocol stack processing delays, and module response delays. This can cause the feedback signals and their corresponding command signals to lose consistency in the time dimension, making the controller potentially make incorrect subsequent decisions based on outdated state information.

[0004] Furthermore, even if control or communication parameters are locally optimized through certain means, enabling each component to reach its optimal state under certain conditions, the lack of quantitative verification and a mechanism for solidifying the global synchronization effect often makes it difficult for these local optimizations to work synergistically under complex and variable load conditions. Sometimes, the incoordination between parameters can even lead to output voltage fluctuations exceeding the allowable range. Therefore, how to solve the timing misalignment of control and communication cycles at the source under dynamically changing load conditions, eliminate the end-to-end time delay of the command-feedback link, and verify the physical stability and perform closed-loop calibration of the optimized global solution has become a critical technical problem that urgently needs to be solved in intelligent integrated power supply systems. Summary of the Invention

[0005] To address the aforementioned technical issues, this application provides a communication control method and system for an intelligent integrated power supply system. Under dynamic load changes, the system dynamically matches the control loop refresh frequency with the communication data packet transmission timing through a dual-loop collaborative optimization mechanism, verifies and corrects the time consistency between feedback signals and command signals, and simultaneously achieves synchronous parameter calibration through stability assessment, thereby improving the real-time response capability and control accuracy of the intelligent integrated power supply system.

[0006] In a first aspect, this application provides a communication control method for an intelligent integrated power supply system, the method comprising: The system acquires real-time load data of the power system, and when the real-time load data meets the preset load change conditions, it performs dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop. The first adjustment loop includes: calculating the deviation between the cycle start time corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence; and when the deviation exceeds a first threshold, adjusting the control loop refresh frequency according to the deviation to generate an adjusted frequency parameter that matches the communication data packet transmission sequence. The second adjustment loop includes: based on the refresh time determined by the adjusted frequency parameters, obtaining the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal; verifying the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information; and optimizing the transmission timing of the communication data packet according to the verification result when the time consistency verification result does not meet the preset consistency condition, thereby generating optimized timing data. A synchronization configuration scheme is determined based on the adjusted frequency parameters and the optimized timing data, and the power system is controlled to operate according to the synchronization configuration scheme. The system collects operating status data of the power system under the synchronous configuration scheme to perform stability evaluation, and when the evaluation result is lower than a preset second threshold, it performs synchronous calibration on at least one of the adjusted frequency parameters and the optimized timing data to generate calibrated power system parameters.

[0007] Secondly, this application provides a communication control system for an intelligent integrated power supply system, the system comprising: The data acquisition module is used to acquire real-time load data of the power system, and when the real-time load data meets the preset load change conditions, to perform dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop. The first adjustment loop module is used to calculate the deviation between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence, and when the deviation exceeds a first threshold, adjust the control loop refresh frequency according to the deviation to generate an adjusted frequency parameter that matches the communication data packet transmission sequence. The second adjustment loop module is used to obtain the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal based on the refresh time determined by the adjusted frequency parameters, verify the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information, and optimize the transmission timing of the communication data packet according to the verification result when the time consistency verification result does not meet the preset consistency condition, and generate optimized timing data. The synchronization configuration module is used to determine a synchronization configuration scheme based on the adjusted frequency parameters and the optimized timing data, and to control the operation of the power system according to the synchronization configuration scheme. The evaluation and calibration module is used to collect the operating status data of the power system under the synchronous configuration scheme, perform stability evaluation, and when the evaluation result is lower than a preset second threshold, perform synchronous calibration on at least one of the adjusted frequency parameters and the optimized timing data to generate calibrated power system parameters.

[0008] Compared with the prior art, the beneficial effects of the present invention are at least as follows: 1. This invention achieves precise alignment of the control loop refresh frequency with the communication data packet transmission timing and effective correction of end-point delays under dynamic load conditions through a dual-loop collaborative optimization mechanism. Specifically, the first adjustment loop calculates the deviation between the start time of the control loop cycle and the planned transmission time of the communication data packet. When the deviation exceeds a first threshold, it dynamically generates a target correction amount using smoothing techniques such as weighted moving averages to adjust the control loop refresh frequency, thereby eliminating asynchronous misalignment between control actions and communication behavior at the time source. Based on this, the second adjustment loop, based on the refresh time adjusted by the first loop, collects the timestamps of the feedback signal and the command signal and calculates the time difference between them. When this time difference exceeds a preset consistency threshold, it uses a proportional trend adjustment mechanism to generate a timing correction amount to optimize the transmission timing of the communication data packet, effectively compensating for the cumulative delays introduced by channel contention and processing delays throughout the entire link from command issuance to status feedback. Thus, control commands are established on real-time and accurate system status feedback, significantly improving the power system's response speed and control accuracy to load fluctuations.

[0009] 2. Furthermore, this invention ensures that the optimized parameters of each of the two loops can work together to achieve the best effect under complex operating conditions through a global verification and solidification mechanism for the synchronization configuration scheme. Synchronization indicators characterizing the degree of frequency synchronization and timing synchronization are extracted from the adjusted frequency parameters and optimized timing data, and compared with real-time consistency requirements including the maximum synchronization error threshold, the maximum time deviation threshold, and the maximum delay jitter threshold. Only when all indicators meet the requirements is the current parameter solidified into the formal synchronization configuration scheme; otherwise, anomaly response strategies, including feedback re-optimization, maintaining the old scheme, or alarm reporting, are initiated. This global verification step enables the system to maintain coordination and consistency between the control network and the communication network under different load modes, avoiding overall performance degradation that may be caused by local parameter optimization, thereby enhancing the operational reliability and collaborative robustness of the intelligent integrated power system under complex operating conditions.

[0010] 3. Furthermore, this invention further translates timing-level synchronization optimization into a tangible improvement in power supply quality through stability assessment and closed-loop calibration based on physical output effects. During system operation according to the synchronization configuration scheme, voltage fluctuation monitoring data from key nodes such as the main output bus are collected, and fluctuation amplitude and frequency characteristic parameters are extracted. A tiered comprehensive evaluation method is used to generate a quantified stability index. When this stability index falls below a preset second threshold, calibration amounts applied to the adjusted frequency parameters and optimized timing data are determined according to a mapping rule based on level-determined step size and feature-determined direction, thus completing the ultimate feedback closed loop from timing logic optimization to physical output stability. Through this multi-level, interconnected closed-loop optimization system, this invention ultimately achieves a comprehensive improvement in the real-time response capability, control accuracy, and long-term operational stability of the intelligent integrated power supply system under dynamic load changes. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating the steps of a communication control method for an intelligent integrated power supply system according to an embodiment of this application. Figure 2 This is a schematic diagram comparing the convergence of frequency-timing deviation under sudden load changes in the embodiments of this application; Figure 3 This is a schematic diagram illustrating the consistency verification and optimization effect of the second adjustment loop feedback-instruction time in the embodiments of this application; Figure 4 This is a structural diagram of the communication control system of an intelligent integrated power system according to an embodiment of this application. Detailed Implementation

[0013] This application provides a communication control method and system for an intelligent integrated power supply system. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or device 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 units not explicitly listed or inherent to such processes, methods, products, or devices.

[0014] It should be noted that the following embodiments are used to explain the technical solutions of the present invention, and not to limit the scope of protection of the present invention. Equivalent substitutions, conventional modifications, or combinations made by those skilled in the art to the following embodiments without departing from the concept of the present invention should all fall within the scope of protection of the present invention.

[0015] Example 1: In one embodiment, the present invention provides a communication control method for an intelligent integrated power system. The method can be applied to an intelligent integrated power system including a main controller, a communication unit, and multiple power modules. The main controller is used to perform load change judgment, control loop parameter adjustment, communication timing optimization, synchronization configuration generation, stability assessment, and parameter calibration. The communication unit is used to send and receive communication data packets according to the scheduling rules issued by the main controller. The power modules are used to perform operations such as voltage regulation, current regulation, power distribution, current sharing control, module activation or deactivation according to control commands, and to feed back operating status information to the main controller.

[0016] For ease of understanding, the specific process of the embodiments of the present invention will be described below, such as... Figure 1 The communication control method of the intelligent integrated power supply system shown includes: The system acquires real-time load data of the power system and performs dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop when the real-time load data meets the preset load change conditions.

[0017] The first adjustment loop includes: calculating the deviation between the cycle start time corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence; and when the deviation exceeds a first threshold, adjusting the control loop refresh frequency according to the deviation to generate an adjusted frequency parameter that matches the communication data packet transmission sequence.

[0018] The calculation of the deviation between the cycle start time corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence includes: obtaining the cycle start time corresponding to the current value of the control loop refresh frequency and the planned transmission time corresponding to the current value of the communication data packet transmission sequence; performing time alignment comparison between the cycle start time and the planned transmission time, calculating the time difference between the two, and using the time difference as the deviation between the cycle start time corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence.

[0019] The adjustment of the control loop refresh frequency based on the deviation value includes: when the deviation value exceeds a preset first threshold, calculating a target correction amount that matches the timing of communication data packet transmission based on the magnitude and direction of the deviation value, and adjusting the control loop refresh frequency based on the target correction amount to generate the adjusted frequency parameters.

[0020] Specifically, in order to solve the problem of random time misalignment caused by the lack of a coordination mechanism between the periodic refresh of the control loop and the intermittent transmission of communication data packets in existing power systems, this invention provides a technical solution for quantitative comparison and dynamic adjustment based on a specific time point. In specific implementation, this method first initiates a dual-loop collaborative optimization mechanism consisting of a first adjustment loop and a second adjustment loop under high dynamic load scenarios, wherein the first adjustment loop focuses on solving the rhythm matching problem of control and communication from the time source.

[0021] In a specific embodiment, the "cycle start time" of the control loop refresh frequency is explicitly defined as the starting edge time of the control logic executing a new round of state acquisition and calculation, while the "planned transmission time" of the communication data packet transmission sequence refers to the moment when the communication protocol stack plans to send the data packet outward according to the preset schedule. The current values ​​of the above two times are obtained, and time alignment comparison is performed. This comparison operation is not a simple comparison of size, but requires placing the cycle start time of the control loop and the most recent planned transmission time of the communication data packet on the same time axis and calculating the absolute time difference between the two. This is used as a deviation value to quantitatively characterize the degree of asynchrony between the control action and the communication behavior. Once this deviation value exceeds the preset first threshold, it means that the current timing misalignment has exceeded the system's allowable asynchronous tolerance. If it is not adjusted in time, it will cause the control command to be unable to synchronize with the actual state of the physical process, or the communication transmission to be unable to carry the latest control results.

[0022] To solve this technical problem, when the deviation value exceeds the limit, the target correction amount is calculated based on its magnitude and direction of change. This calculation process follows a preset closed-loop adjustment logic, which aims to eliminate the deviation quickly and smoothly.

[0023] Specifically, firstly, a basic correction amount is determined based on the difference between the calculated deviation value and a preset first threshold. The magnitude of this basic correction amount is positively correlated with the size of the difference, and its direction of action is opposite to the direction of deviation change. As a quantifiable implementation method, the specific value of the basic correction amount is determined based on the preset interval in which the deviation exceeds the first threshold. The range of the excess amount is pre-divided into multiple consecutive intervals, and a fixed adjustment step size is configured for each interval. These step sizes are pre-calibrated during the system design phase based on parameters such as the sampling period of the control loop and the transmission interval of communication data packets. For example, when the excess amount is in a smaller first interval, a fine-tuning step size is used, which corresponds to extending or shortening the control loop refresh period by a reference time unit. This reference time unit is usually taken as the minimum time granularity of the system or the number of communication packets. Based on the basic time slice of the packet; when the excess is in a larger second interval, a medium adjustment step size is used, and its adjustment range is several times that of the fine adjustment step size; when the excess exceeds a higher third threshold, a maximum single adjustment step size is used, which is limited to the maximum adjustment range allowed by the system to prevent new oscillations caused by excessive single adjustment; through this hierarchical mapping method, the magnitude of the basic correction amount is positively correlated with the size of the excess, and the adjustment action has a clear and repeatable quantitative basis; among them, the first interval and the second interval described above are exemplary divisions, and more or fewer intervals can be divided according to system requirements in actual implementation. The reference time unit, the multiple relationship between the fine adjustment step size and the medium adjustment step size, and the absolute value of the maximum single adjustment step size are all pre-calibrated through simulation during system design and do not need to be calculated in real time during method execution.

[0024] To avoid system oscillations or new timing jitters caused by a single large adjustment, the base correction amount is not used directly. Instead, a historical buffer queue that records the most recent deviation values ​​is maintained. After obtaining the current base correction amount, it is merged with the data in this historical queue. One feasible fusion method is to perform a weighted moving average on the recent correction amount sequence, including the current base correction amount, giving more weight to recent data to obtain a smooth correction amount. This smooth correction amount reflects the current deviation trend and suppresses drastic jumps caused by occasional disturbances.

[0025] Finally, this smoothing correction is superimposed on the current control loop refresh frequency to generate the adjusted frequency parameters, ensuring that subsequent refresh edges of the control loop can smoothly converge to the predetermined time point for the transmission of communication data packets, thus achieving precise alignment.

[0026] like Figure 2 The diagram shows a comparison of the deviation convergence between the traditional fixed-frequency scheme and the first adjustment loop of this invention under load change conditions. Figure 2This indicates that after a sudden load change, the deviation value of the traditional solution continues to oscillate and is difficult to converge to below the first threshold within a reasonable time. However, the first adjustment loop of the present invention can quickly sense the deviation and dynamically adjust the control refresh frequency, so that the deviation value converges to below the first threshold within about 150 milliseconds, which significantly improves the matching speed between the control cycle and the communication cycle.

[0027] The second adjustment loop includes: based on the refresh time determined by the adjusted frequency parameters, obtaining the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal; verifying the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information; and optimizing the timing of communication data packet transmission based on the verification result when the timing consistency verification result does not meet the preset consistency condition, thereby generating optimized timing data.

[0028] The verification of the time consistency between the feedback signal and the command signal includes: acquiring the feedback signal at the refresh time determined by the adjusted frequency parameters, and obtaining the feedback timestamp of the feedback signal and the command timestamp of the command signal; performing time alignment comparison between the feedback timestamp and the command timestamp, calculating the time difference between the two, and using the time difference as the verification result of time consistency.

[0029] The optimization of the communication data packet transmission timing includes: determining whether the time difference in the time consistency verification result exceeds a preset consistency threshold; if the time difference exceeds the preset consistency threshold, determining the timing correction amount of the communication data packet transmission timing based on the time difference, and adjusting the communication data packet transmission timing based on the timing correction amount to generate optimized timing data.

[0030] Specifically, to address the issue that the first adjustment loop can only achieve rhythm matching between control refresh and communication transmission at the source, but cannot eliminate the cumulative time misalignment throughout the entire link from instruction issuance to status feedback, this invention introduces a feedback verification and communication timing reverse optimization mechanism based on the actual execution time in the second adjustment loop. The operating logic of the second adjustment loop is that even if the start of the control loop cycle and the transmission plan of the communication data packet are aligned at the time source, the entire process of instruction signal transmission through the communication link, load response generating feedback signal and returning may still introduce unexpected time delays due to factors such as channel contention and processing delays. Such time delays cannot be perceived and corrected by forward adjustment of the control frequency alone. Therefore, it is necessary to establish a closed-loop path that calibrates the communication timing from the execution result.

[0031] In specific implementation, the second adjustment loop first determines the accurate refresh time based on the adjusted frequency parameters generated by the first adjustment loop. This refresh time is the starting point for the control loop to execute a new round of logical operations according to the new frequency parameters. At this determined refresh time, the feedback signal output by the control loop is synchronously acquired, and the feedback timestamp carried by the feedback signal is obtained. This feedback timestamp is a precise time mark marked when the feedback signal is physically generated or when the first byte is transmitted. Correspondingly, the instruction timestamp of the instruction signal that has a logical causal relationship with the feedback signal is obtained. This instruction timestamp is the time mark attached when the upper-level control module issues the instruction.

[0032] Subsequently, a time alignment comparison is performed. The feedback timestamp and the instruction timestamp are placed under the same time base, and the time difference between them is calculated. This time difference is defined as the verification result of time consistency. It quantifies the degree of deviation from the ideal synchronization state in the complete closed-loop delay experienced by an instruction from its intended issuance to the system's confirmation of its execution status feedback. After verification, it is determined whether the time difference exceeds a preset consistency threshold. This threshold is a synchronization tolerance set according to the power system response speed requirements. If the time difference in the verification result exceeds the preset consistency threshold, it indicates that there is an unacceptable loss of synchronization between the instruction and the feedback. Even with alignment at the control and communication sources, timing slack has still occurred at the execution end. In this case... The timing correction amount for the transmission timing of communication data packets is determined based on the magnitude and direction of the time difference. This correction amount is determined using a preset proportional-trend adjustment mechanism, taking the time difference and its trend as input and outputting a compensation value that affects the transmission timing. First, the difference between the time difference obtained in this verification and a preset consistency threshold is calculated, serving as the error basis for adjustment. Based on this error basis, a proportional adjustment component is generated according to a preset proportional coefficient. The amplitude of this component is positively correlated with the magnitude of the error basis, and its direction follows the negative feedback principle: if the feedback signal is lagging, a negative adjustment component is generated to reduce the transmission interval; if the feedback signal is leading, a positive adjustment component is generated to increase the transmission interval.

[0033] Meanwhile, to avoid the system frequently adjusting back and forth near the threshold boundary, a trend-aware mechanism is introduced to continuously monitor the changing trend of the time difference. When it is determined that the time difference is continuously developing towards the outside of the threshold, for example, when the lag increases repeatedly, an additional trend adjustment component related to the trend intensity will be superimposed on the proportional adjustment component to speed up the correction. When the time difference returns to the inside of the threshold, the trend component is automatically canceled, and only the proportional adjustment component is retained for fine correction.

[0034] As a quantifiable implementation method, the value of the trend adjustment component is determined based on the number of times the time difference continuously moves out of the threshold, i.e., the number of consecutive exceedances. A counter is pre-set to record the number of consecutive exceedances. Whenever the time consistency verification result calculated within a control cycle exceeds the preset consistency threshold, and the direction of the exceedance is the same as the previous one, such as both being lagging or both being leading, the counter is incremented by 1. If the direction changes or the time difference falls back to within the threshold, the counter is cleared.

[0035] The magnitude of the trend adjustment component has a positive stepwise relationship with the number of consecutive limit exceedances. Specifically, multiple consecutive limit exceedance intervals are preset, and a preset additional adjustment step size is configured for each interval. For example, when the number of consecutive limit exceedances is in the first interval, the trend adjustment component takes a basic additional step size to slightly accelerate the correction speed. When the number of consecutive limit exceedances reaches the second interval, the trend adjustment component takes a medium additional step size, and its adjustment range is several times the basic additional step size. When the number of consecutive limit exceedances exceeds the third threshold, the trend adjustment component takes a maximum additional step size, which is limited to the maximum single compensation range allowed by the system to prevent over-adjustment. The specific values ​​of the above additional step sizes and the interval divisions are pre-calibrated through experiments or simulations during the system design phase, and can be configured according to the response characteristics of the power supply system and the delay jitter range of the communication network.

[0036] After determining the trend adjustment component, it is directly superimposed with the aforementioned proportional adjustment component to obtain the final time series correction amount. When the time difference returns to within the threshold, i.e., when the continuous over-limit counter is cleared, the trend adjustment component is automatically reset to zero, and only the proportional adjustment component is retained for fine correction. Through the above-mentioned graded additional step size mechanism based on the number of continuous over-limits, the value of the trend adjustment component has a clear quantitative basis, which can provide sufficient compensation when continuously deteriorating, and avoid overreaction during transient disturbances.

[0037] Finally, the timing corrections calculated above are applied to the transmission schedule of communication data packets according to the preset allocation rules, updating their planned transmission intervals or transmission offsets, thereby generating optimized timing data.

[0038] like Figure 3 The diagram illustrates the optimization effect of the second adjustment loop of the present invention on the time consistency of the feedback signal and the command signal. The left side shows the result before optimization, where the delay fluctuations of the feedback signal and the command signal are large, and the time deviation between the two frequently exceeds the preset consistency threshold of 0.5ms. The right side shows the result after optimization by the second adjustment loop, where the timing of the communication data packet transmission is dynamically corrected, the delay jitter is significantly reduced, and the time deviation is basically controlled within the threshold, effectively ensuring that the control command is based on real-time feedback.

[0039] Based on the adjusted frequency parameters and optimized timing data, a synchronization configuration scheme is determined, and the power system operation is controlled according to the synchronization configuration scheme.

[0040] The process of determining the synchronization configuration scheme includes: extracting synchronization indicators that characterize the degree of frequency synchronization and the degree of timing synchronization based on the adjusted frequency parameters and optimized timing data; determining whether the synchronization indicators meet the preset real-time consistency requirements; and generating a synchronization configuration scheme if the synchronization indicators meet the real-time consistency requirements.

[0041] The real-time consistency requirement includes at least one of the following performance index thresholds: the maximum synchronization error threshold between control units or power modules in the power system; the maximum time deviation threshold between control commands and feedback signals; and the maximum delay jitter threshold for data packet transmission in the communication network.

[0042] Specifically, to address the issue that while the optimized control frequency parameters and communication timing parameters of the two loops may match in local areas, the lack of a global synchronization effect verification and scheme solidification mechanism may lead to the system failing to achieve optimal overall coordination under complex operating conditions, this invention introduces a synchronization configuration scheme generation and verification stage. The core function of this stage is to treat the adjusted frequency parameters output by the first adjustment loop and the optimized timing data output by the second adjustment loop as an organic whole, extract quantitative indicators that can comprehensively evaluate the global synchronization state of the system, and use these as the basis for final scheme confirmation and operation control. This ensures that under dynamic loads, not only is the timing of individual stages optimized, but the control and communication networks of the entire system also achieve a coordinated and consistent real-time synchronization state.

[0043] In practical implementation, synchronization indicators characterizing the degree of frequency synchronization and timing synchronization are first extracted based on the adjusted frequency parameters and optimized timing data. The frequency synchronization indicator measures the matching accuracy between the actual refresh cycle of the control loop and the planned transmission time of the communication data packets. It can be obtained by statistically analyzing the distribution characteristics of the deviation between the start time of the control loop cycle and the planned transmission time of the communication data packets within a certain time window. For example, the mean of this deviation is calculated to reflect the static offset of the system deviation, and its standard deviation is calculated to reflect the degree of synchronization jitter. The timing synchronization indicator measures the alignment quality of the command signal and the feedback signal on the time axis. It can be obtained by statistically analyzing the characteristics of the time difference sequence of the time consistency verification results in the second adjustment loop, and can also include the mean and fluctuation range of this time difference. These two indicators, from different dimensions, jointly characterize the synchronization performance of the entire power system on the most critical control-communication link.

[0044] Subsequently, the extracted synchronization indicators are compared and judged with the preset real-time consistency requirements. These real-time consistency requirements consist of one or more specific performance indicator thresholds, which are set according to the strictness of the specific application scenarios served by the power system. Among them, the maximum synchronization error threshold between each control unit or power module in the power system refers to the maximum allowable action time deviation between multiple control loops or multiple power modules operating in parallel in the system when coordinating output. This threshold ensures the current sharing and voltage sharing effect of the system in parallel operation. The maximum time deviation threshold between control commands and feedback signals refers to the maximum allowable time difference from the issuance of a control command to the receipt of its corresponding status feedback. This threshold directly determines the upper limit of the closed-loop response speed of the system to load changes. The maximum delay jitter threshold for data packet transmission in the communication network refers to the threshold that the peak value of the delay time fluctuation of communication data packets during end-to-end transmission on the network cannot exceed. This threshold ensures the predictability of timing logic.

[0045] During the comparison and judgment, all extracted synchronization indicators can be compared with their corresponding thresholds one by one. If all the indicators involved in the judgment fall within their allowable range, it is determined that they meet the real-time consistency requirements. Once it is determined that the requirements are met, the adjusted frequency parameters generated by the first adjustment loop and the optimized timing data generated by the second adjustment loop are bound together and solidified into a specific synchronization configuration scheme. This synchronization configuration scheme is then loaded and executed by the system controller as the basis for controlling the operation of the power supply system for a period of time.

[0046] If the synchronization indicators do not meet the real-time consistency requirements, i.e., at least one indicator exceeds its corresponding threshold range, it indicates that the current dual-loop optimization parameters have not yet met the synchronization requirements at the global level, and the system will not solidify the current parameters as a synchronization configuration scheme. In this case, a preset exception response strategy can be executed, which may include at least one of the following processing methods: The first processing method is to use the currently unmet synchronization indicator information as a deviation reference and feed it back to the first and second adjustment loops respectively, triggering a new round of parameter adjustment and communication timing optimization, forming an iterative closed loop of evaluation, feedback, and re-optimization until the extracted synchronization indicators meet the real-time consistency requirements; the second processing method is... If a valid synchronization configuration scheme has been verified in the previous operating history, the system will maintain the execution of that valid scheme to ensure that the power system can continue to operate with verified reliable parameters even if a better synchronization state is not achieved. The third approach is to generate an alarm signal containing information on non-compliant indicators and report the alarm signal to the upper-level monitoring system or local logs, prompting maintenance personnel or upper-level scheduling logic to pay attention to the current load conditions or system status so as to make manual intervention or adjust the load strategy. Through the above-mentioned anomaly response strategies, the process of determining the synchronization configuration scheme is logically formed into a complete closed loop, ensuring that the system has a clear processing path regardless of the synchronization state.

[0047] The system collects operating status data of the power system under the synchronous configuration scheme to perform stability assessment. When the assessment result is lower than the preset second threshold, at least one of the adjusted frequency parameters and optimized timing data is synchronously calibrated to generate calibrated power system parameters.

[0048] The stability assessment includes: collecting voltage fluctuation monitoring data at key nodes of the power system according to the synchronization configuration scheme; analyzing the voltage fluctuation monitoring data to extract characteristic parameters representing the amplitude and frequency of voltage fluctuations; determining the degree of influence on the stability of the power system based on the characteristic parameters, and generating stability indicators based on the degree of influence on stability.

[0049] The process of generating calibrated power system parameters includes: determining whether the stability index is lower than a preset second threshold; if the stability index is lower than the second threshold, determining the calibration amount for the adjusted frequency parameters and / or optimized timing data based on the degree of stability impact; and synchronously calibrating the adjusted frequency parameters and / or optimized timing data according to the calibration amount to generate calibrated power system parameters.

[0050] Specifically, in order to address the issue that although the aforementioned synchronous configuration scheme achieves precise alignment of control and communication at the timing logic level, its effect on improving the physical stability of the final output of the power system has not been verified by actual operation, and therefore the adjusted parameters may not be fully adapted to the dynamic characteristics of the real load, this invention introduces a stability assessment and synchronous calibration link based on operating status feedback. The core function of this link is to put the timing synchronization scheme into actual operation, and by monitoring the voltage fluctuation, the most direct physical characteristic of the power system, to reverse verify and finely correct the final adaptation effect of the parameters generated by the dual loop, thereby forming a complete closed loop from timing synchronization to physical stability.

[0051] In practical implementation, the power system is first controlled according to the fixed synchronization configuration scheme. Under this operating state, voltage fluctuation monitoring data is collected at key nodes of the power system. Key nodes refer to monitoring points sensitive to voltage stability and representative of the system's power supply quality, typically including the main output bus junction point and the power input terminals of the core loads. The collected voltage fluctuation monitoring data is a sequence of instantaneous voltage values ​​changing over time, directly reflecting the actual stability of the power output under the current control and communication coordination scheme. Subsequently, this voltage fluctuation monitoring data is analyzed to extract characteristic parameters representing the amplitude and frequency of voltage fluctuations. Among these, the amplitude of the fluctuation... The voltage fluctuation characteristic parameters can be obtained by calculating the maximum deviation and average deviation of the instantaneous voltage value relative to the rated value, while the fluctuation frequency characteristic parameter can be obtained by counting the number of times the voltage deviation exceeds a preset tolerance range per unit time. These two characteristic parameters, from the dimensions of fluctuation intensity and frequency, jointly characterize the instability of the current voltage output. Based on this, these extracted characteristic parameters are input into a preset stability evaluation logic to generate a quantitative stability index. This stability evaluation logic adopts a hierarchical comprehensive evaluation method. First, multiple severity ranges are preset for the voltage fluctuation amplitude characteristic. For example, the voltage deviation... The percentage deviation from the rated value is divided into three ranges: slight deviation, moderate deviation, and severe deviation. Simultaneously, multiple severity ranges are preset for the frequency characteristics of voltage fluctuations; for example, the number of times the limit is exceeded per unit time is divided into three ranges: low-frequency fluctuation, medium-frequency fluctuation, and high-frequency fluctuation. Then, based on the amplitude and frequency characteristics calculated from the current actual data collection, the severity range they fall into is determined. Finally, based on a preset two-dimensional evaluation mapping relationship, a comprehensive stability index is determined by the combination of amplitude severity and frequency severity. For example, one feasible mapping relationship is: when the amplitude falls into the slight deviation range and the frequency falls into the low-frequency fluctuation range, the system is judged to be in a stable state. When the system is in a highly stable state, it is quantified into a fixed high-stability index value, such as 90 points, according to a preset mapping relationship. When the amplitude falls into a severely deviated range or the frequency falls into a high-frequency fluctuation range, or both deteriorate simultaneously, the system is determined to be in a low-stability state, and quantified into a fixed low-stability index value, such as 40 points. All other cases are determined to be in a moderately stable state, and quantified into a fixed moderately stable index value, such as 70 points. The above specific values ​​are only examples, and can be pre-calibrated according to the stability requirements of the power supply system in actual implementation. Through the above-mentioned hierarchical comprehensive evaluation, the originally vague comprehensive process is transformed into a clear operation of determining the index by looking up a table according to a preset range.

[0052] After generating the stability index, it is compared with a preset second threshold. This second threshold is the minimum stability requirement set to ensure the safe operation of electrical equipment. If the result shows that the stability index is lower than the second threshold, it indicates that although the timing synchronization scheme has met the time alignment standard, there are still unacceptable fluctuations in the physical output, and the synchronization parameters need to be fine-tuned and calibrated according to the actual physical effect. At this time, based on the stability index level obtained from the current evaluation and the combination of characteristic parameters that lead to this level, the calibration amount is determined according to the preset mapping rule. This mapping rule combines qualitative causal analysis with quantitative step size, and its specific operation is as follows: First, a set of calibration step sizes corresponding to the stability index level is preset. For example, when the stability index is in a low stability state, a larger calibration step size is used to achieve rapid correction; when the stability index is in a medium stability state, a smaller calibration step size is used to avoid over-adjustment; when the stability index is in a high stability state, the calibration step size is zero, that is, no adjustment is made. Here, the calibration step size is a dimensionless adjustment amplitude reference value, which is used to generate specific adjustment amounts for frequency parameters and time series data respectively.

[0053] After determining the calibration step size, the target parameters and adjustment direction of the calibration effect are determined based on causal correlation analysis. It should be noted that the final generated calibration quantities are of two types: frequency / cycle calibration quantities, which act on the refresh frequency or refresh cycle of the control loop; the two are equivalent. The adjustment cycle is the reciprocal of the adjustment frequency. In implementation, this can be uniformly converted into increasing or decreasing the cycle time, and timing calibration quantities acting on the transmission timing of communication data packets. The specific determination method is as follows: If the characteristic parameters indicate that the voltage fluctuation exhibits periodic low-frequency oscillations related to the control cycle, then the root cause of the problem is determined to be the relationship between the control loop refresh frequency and load dynamics. If there is a mismatch in characteristics, a frequency / cycle calibration value is generated and applied to the adjusted frequency parameter. The adjustment direction is to suppress oscillations: for example, when the oscillation frequency is low and manifests as a slow voltage drift, the refresh cycle of the control loop is appropriately reduced, i.e., the refresh frequency is increased, to enhance the response; when the oscillation exhibits obvious periodic overshoot, the refresh cycle is appropriately increased, i.e., the refresh frequency is decreased, to increase system damping. The adjustment magnitude is equal to the increment or decrement of the cycle time corresponding to the previously determined calibration step size. This correspondence is pre-calibrated during system design. For example, one calibration step size corresponds to a 5% change in the refresh cycle reference value.

[0054] If the characteristic parameters indicate that the voltage fluctuation exhibits random high-frequency spikes related to the data packet transmission interval, then the root cause of the problem is determined to be communication timing jitter. In this case, a timing calibration quantity is generated and applied to the optimized timing data. The adjustment direction is to reduce timing jitter: for example, shortening the transmission interval of communication data packets to improve the information update rate, or increasing the number of redundant transmissions of critical data packets to improve anti-interference capability. The adjustment magnitude is equal to the reduction in transmission interval or the increment of redundant transmissions corresponding to the previously determined calibration step size. For example, one calibration step size corresponds to shortening the transmission interval by 10 microseconds or adding one redundant transmission. If the characteristic parameters indicate that both fluctuation characteristics exist simultaneously, then a frequency / period calibration quantity and a timing calibration quantity are generated simultaneously. In this case, the step sizes of the two calibration quantities are determined according to their respective independent rules, that is: the frequency / period calibration quantity is still based on its corresponding step size, and the timing calibration quantity is also based on its corresponding step size. The two do not affect each other and are calculated separately and then superimposed on their respective target parameters. The generation method is parallel and independent calculation, without cross-coupling.

[0055] Finally, the frequency / period calibration values ​​with clearly defined directions and amplitudes are superimposed onto the currently running adjusted frequency parameters. If period adjustment is required, it is done by converting the frequency to the reciprocal of the period and then adjusting accordingly. The timing calibration values ​​are then superimposed onto the currently running optimized timing data to generate the calibrated power system parameters. Through this mapping rule of level-based step size and feature-based direction determination, the process of determining calibration values ​​becomes concrete and implementable, completing the ultimate closed-loop calibration from timing scheme to physical stability.

[0056] Through the coordination of the above steps, the present invention effectively improves the real-time response capability and control accuracy of the intelligent integrated power supply system.

[0057] Example 2: The communication control method of an intelligent integrated power supply system according to an embodiment of the present invention has been described above. The communication control system of an intelligent integrated power supply system according to an embodiment of the present invention is described below. Figure 4 As shown, the communication control system of an intelligent integrated power system in an embodiment of the present invention includes: The data acquisition module is used to acquire real-time load data of the power system, and when the real-time load data meets the preset load change conditions, it performs dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop. The first adjustment loop module is used to calculate the deviation between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence. When the deviation exceeds the first threshold, the control loop refresh frequency is adjusted according to the deviation to generate the adjusted frequency parameters that match the communication data packet transmission sequence. The second adjustment loop module is used to obtain the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal based on the refresh time determined by the adjusted frequency parameters, verify the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information, and optimize the transmission timing of the communication data packets according to the verification result when the time consistency verification result does not meet the preset consistency condition, and generate optimized timing data. The synchronization configuration module is used to determine the synchronization configuration scheme based on the adjusted frequency parameters and optimized timing data, and to control the operation of the power system according to the synchronization configuration scheme. The evaluation and calibration module is used to collect the operating status data of the power system under the synchronous configuration scheme, perform stability evaluation, and when the evaluation result is lower than the preset second threshold, perform synchronous calibration on at least one of the adjusted frequency parameters and optimized timing data to generate calibrated power system parameters.

[0058] Through the synergistic cooperation of the above-mentioned components, the present invention further enhances the real-time response capability and control precision of the intelligent integrated power supply system.

[0059] In summary, the present invention provides a communication control method and system for an intelligent integrated power supply system. Addressing the problems of insufficient real-time response and poor operational stability caused by timing asynchrony and full-link time delay in the control loop and communication links in existing technologies, this invention constructs a multi-level progressive, closed-loop collaborative optimization system. The method dynamically smooths and corrects the source deviation between the control refresh frequency and the communication transmission timing through a first adjustment loop, and performs proportional trend inverse optimization of the end-time consistency of the command and feedback signals through a second adjustment loop, eliminating timing misalignments affecting control accuracy from two dimensions. Furthermore, a global verification and anomaly response mechanism for the synchronous configuration scheme is introduced to ensure the collaborative effectiveness of the dual-loop optimization parameters under complex operating conditions. Finally, through stability assessment based on the physical characteristics of voltage fluctuations and a closed-loop calibration process with level-based step size and feature-based direction, the timing-level optimization is ultimately transformed into a practical improvement in power supply quality. The entire scheme achieves a complete closed loop from load sensing and timing synchronization to physically stable output, significantly enhancing the real-time response capability, control accuracy, and long-term operational reliability of the intelligent integrated power supply system.

[0060] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0061] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0062] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A communication control method of an intelligent integrated power supply system, characterized by, The method includes: The system acquires real-time load data of the power system, and when the real-time load data meets the preset load change conditions, it performs dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop. The first adjustment loop includes: calculating the deviation between the cycle start time corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence; and when the deviation exceeds a first threshold, adjusting the control loop refresh frequency according to the deviation to generate an adjusted frequency parameter that matches the communication data packet transmission sequence. The second adjustment loop includes: based on the refresh time determined by the adjusted frequency parameters, obtaining the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal; verifying the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information; and optimizing the transmission timing of the communication data packet according to the verification result when the time consistency verification result does not meet the preset consistency condition, thereby generating optimized timing data. A synchronization configuration scheme is determined based on the adjusted frequency parameters and the optimized timing data, and the power system is controlled to operate according to the synchronization configuration scheme. The system collects operating status data of the power system under the synchronous configuration scheme to perform stability evaluation, and when the evaluation result is lower than a preset second threshold, it performs synchronous calibration on at least one of the adjusted frequency parameters and the optimized timing data to generate calibrated power system parameters.

2. The communication control method of the intelligent integrated power supply system according to claim 1, characterized in that, The deviation between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence includes: Obtain the cycle start time corresponding to the current value of the control loop refresh frequency and the planned transmission time corresponding to the current value of the communication data packet transmission timing; The start time of the cycle and the planned transmission time are time-aligned and compared, the time difference between the two is calculated, and the time difference is used as the deviation between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence.

3. The communication control method of the intelligent integrated power supply system according to claim 1, characterized in that, Adjusting the control loop refresh frequency based on the deviation value includes: When the deviation value exceeds a preset first threshold, a target correction amount matching the transmission timing of the communication data packet is calculated based on the magnitude and direction of the deviation value, and the refresh frequency of the control loop is adjusted based on the target correction amount to generate the adjusted frequency parameters.

4. The communication control method of the intelligent integrated power supply system according to claim 1, characterized in that, Verifying the time consistency between the feedback signal and the command signal includes: The feedback signal is collected based on the refresh time determined by the adjusted frequency parameters, and the feedback timestamp of the feedback signal and the instruction timestamp of the instruction signal are obtained; the feedback timestamp and the instruction timestamp are time-aligned and compared, the time difference between the two is calculated, and the time difference is used as the verification result of time consistency.

5. The communication control method of the intelligent integrated power supply system according to claim 4, characterized in that, Optimizing the timing of the communication data packet transmission includes: Determine whether the time difference in the time consistency verification result exceeds a preset consistency threshold; if the time difference exceeds the preset consistency threshold, determine the timing correction amount of the communication data packet transmission timing based on the time difference, and adjust the communication data packet transmission timing based on the timing correction amount to generate optimized timing data.

6. The communication control method of the intelligent integrated power supply system according to claim 1, wherein Determining the synchronization configuration scheme includes: Based on the adjusted frequency parameters and the optimized timing data, synchronization indicators characterizing the degree of frequency synchronization and timing synchronization are extracted; it is determined whether the synchronization indicators meet the preset real-time consistency requirements; if the synchronization indicators meet the real-time consistency requirements, a synchronization configuration scheme is generated.

7. The communication control method of the intelligent integrated power supply system according to claim 6, wherein The real-time consistency requirement includes at least one of the following performance metric thresholds: The maximum synchronization error threshold between control units or power modules within the power system; The maximum time deviation threshold between control commands and feedback signals; The maximum delay jitter threshold for data packet transmission in a communication network.

8. The communication control method of the intelligent integrated power supply system according to claim 1, characterized in that, The stability assessment includes: According to the synchronization configuration scheme, voltage fluctuation monitoring data is collected at key nodes of the power system; the voltage fluctuation monitoring data is analyzed to extract characteristic parameters representing the voltage fluctuation amplitude and fluctuation frequency. The degree of influence on the stability of the power system is determined based on the aforementioned characteristic parameters, and a stability index is generated based on the degree of influence on stability.

9. The communication control method of the intelligent integrated power supply system according to claim 8, wherein The generated calibrated power system parameters include: Determine whether the stability index is lower than a preset second threshold. If the stability index is lower than the second threshold, determine the calibration amount for the adjusted frequency parameters and / or the optimized timing data based on the degree of stability impact. The adjusted frequency parameters and / or the optimized timing data are synchronously calibrated according to the calibration amount to generate calibrated power system parameters.

10. A communication control system of an intelligent integrated power supply system, for implementing the communication control method of an intelligent integrated power supply system according to any one of claims 1-9, characterized in that, The system includes: The data acquisition module is used to acquire real-time load data of the power system, and when the real-time load data meets the preset load change conditions, to perform dual-loop collaborative optimization consisting of the first adjustment loop and the second adjustment loop. The first adjustment loop module is used to calculate the deviation between the start time of the cycle corresponding to the control loop refresh frequency and the planned transmission time corresponding to the communication data packet transmission sequence, and when the deviation exceeds a first threshold, adjust the control loop refresh frequency according to the deviation to generate an adjusted frequency parameter that matches the communication data packet transmission sequence. The second adjustment loop module is used to obtain the feedback time information corresponding to the feedback signal and the instruction time information corresponding to the instruction signal based on the refresh time determined by the adjusted frequency parameters, verify the time consistency between the feedback signal and the instruction signal based on the feedback time information and the instruction time information, and optimize the transmission timing of the communication data packet according to the verification result when the time consistency verification result does not meet the preset consistency condition, and generate optimized timing data. The synchronization configuration module is used to determine a synchronization configuration scheme based on the adjusted frequency parameters and the optimized timing data, and to control the operation of the power system according to the synchronization configuration scheme. The evaluation and calibration module is used to collect the operating status data of the power system under the synchronous configuration scheme, perform stability evaluation, and when the evaluation result is lower than a preset second threshold, perform synchronous calibration on at least one of the adjusted frequency parameters and the optimized timing data to generate calibrated power system parameters.

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