A method and system for multi-mode switching control of emergency power supply

Abstract

An emergency power supply multi-mode switching control method and system includes: collecting power supply operating parameters, extracting power supply operating characteristics, forming a power supply state set, constructing a power supply state activation map, and outputting a power supply switching scheduling sequence; conducting power-on disturbance behavior simulation tests on the loads to be connected, obtaining electrical disturbance feature vectors, establishing a load disturbance level mapping table, and determining the connection time and mode of each load during the power switching process; during the execution of the power switching scheduling sequence, performing ripple suppression and phase continuity control on the output voltage based on the parameter differences between the current target power supply and the decommissioned power supply; implementing dynamic differentiated connection strategies for high-sensitivity loads and high-priority loads within the same disturbance level based on a load connection timing determination function and a load connection time window function; and generating a switching event chain map based on full-domain operating data. This invention achieves a leap from passive response to active defense, combining safety, economy, and intelligence.

Description

Technical Field

[0001] This invention belongs to the field of intelligent power management and control technology. More specifically, this invention relates to an emergency power supply multi-mode switching control method and system. Background Technology

[0002] With the rapid development of the social economy and the continuous improvement of people's living standards, users have increasingly higher requirements for power supply reliability. To improve power supply reliability, it is necessary to reduce power outages, and carrying out live-line distribution work is the most direct and effective measure to improve power supply reliability.

[0003] In the process of live-line work in power distribution, the use of emergency power supply vehicles to transfer loads can comprehensively meet the needs of live-line work, emergency power supply guarantee, and temporary capacity expansion of the distribution network, becoming one of the important technical means to further improve power supply reliability. However, when emergency power supply vehicles connect to or disconnect from the user's busbar, they may force users to experience multiple short-term power outages. The overall application process exhibits a "reactive and limited" characteristic, thereby reducing access efficiency and violating the meaning of power supply protection. At the same time, for distribution areas with large-capacity loads, a single emergency power supply vehicle will not be able to meet the power supply demand. In summary, there is an urgent need for a seamless transfer control method, system, device, and storage medium for multiple emergency power supply vehicles to connect to the distribution network.

[0004] Patent publication number CN119231737A discloses a seamless power transfer control method, system, device, and storage medium for connecting multiple emergency power vehicles to a power distribution network. The method includes: using a voltage control method based on virtual impedance to achieve proportional power output from each emergency power vehicle according to its own capacity in a scenario where multiple emergency power vehicles operate in parallel; using a synchronization control method based on bus voltage tracking to achieve synchronous control of each emergency power vehicle in both mains power supply mode and emergency power vehicle power supply mode; and achieving pre-synchronization control for switching between emergency power vehicle access mode and emergency power vehicle power supply mode to mains power supply mode. This invention can safely, reliably, flexibly, and efficiently control the joint power supply and deactivation of multiple emergency power vehicles, enabling users to perform emergency power supply operations such as maintenance or temporary power supply without power interruption.

[0005] The shortcoming of existing technology document 1 is that load connection is based on a simple time series or fixed rules, lacking dynamic response to disturbances during power switching and adaptation to load types. Therefore, loads may be connected too early or too late during power switching, leading to excessive voltage fluctuations or system instability. Existing technology does not adequately consider the different needs of highly sensitive and high-priority loads. During power switching, many systems fail to rationally select the switching timing based on the power supply's redundancy level and the load's capacity, resulting in inappropriate load connection timing during power switching, potentially leading to power supply overload or load instability. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a multi-mode switching control method and system for emergency power supplies. It constructs a power supply status activation map, uses a graph optimization algorithm to determine the target power supply activation path, and outputs a power supply switching scheduling sequence. It also performs power-on disturbance behavior simulation tests on the loads to be connected, obtains electrical disturbance characteristic indicators, establishes a disturbance risk vector model, and generates a load disturbance level mapping table to determine the connection order and method of each load during the power switching process. This achieves a leap from passive response to active defense in power switching, combining safety, economy, and intelligence.

[0007] To achieve the above-mentioned objectives, the present invention adopts the following technical solution.

[0008] This invention discloses a multi-mode switching control method for emergency power supplies, the control method comprising the following steps: Step 1: Collect power supply operating parameters, extract power supply operating characteristics by combining multi-dimensional time window analysis and frequency domain conversion, form a power supply state set, construct a power supply state activation map, and output a power supply switching scheduling sequence based on the power supply state activation map. Step 2: Conduct power-on disturbance behavior simulation tests on the loads to be connected, obtain electrical disturbance characteristic indicators, establish a disturbance risk vector model and generate a load disturbance level mapping table, and determine the connection order and method of each load during the power switching process. Step 3: During the execution of the power switching scheduling sequence, based on the parameter differences between the current target power supply and the power supply to be deactivated, ripple suppression and phase continuity control are performed on the output voltage; and based on the load access timing determination function and the load access time window function, dynamic differentiated access strategies are implemented for high-sensitivity loads and high-priority loads in the same disturbance level loads. Step 4: Collect global operational data during the handover process and generate a handover event chain graph based on the global operational data.

[0009] More preferably, in step 1, each power supply is used as a node in the graph, and the switchable paths between different power supplies are used as edges to establish a power supply status activation graph, wherein the power supply status is used as the node status parameter.

[0010] More preferably, in step 1, Based on the electrical parameter characteristics and electrical distance between adjacent power supply nodes in the power supply state activation graph, the cost of switching power supply between adjacent nodes is calculated and used as the weight value of each side. A graph optimization algorithm is used to perform path search on the power supply state activation graph and generate a power supply switching scheduling sequence in order of increasing switching cost.

[0011] More preferably, when calculating the weight value of an edge, the weighted sum of the normalized absolute values ​​of the frequency difference, voltage difference, and phase difference between adjacent power supply nodes is used as the electrical quality cost; the normalized value of the electrical distance between adjacent power supply nodes is used as the electrical distance cost; and the weighted sum of the electrical quality cost and the electrical distance cost is used as the adjacent power supply switching cost. The weight value of each edge is the adjacent power supply switching cost.

[0012] More preferably, in step 2, a preset test voltage and current are applied to the load to be connected to perform a power-on simulation test, and the electrical disturbance response data of the load is collected. The electrical disturbance response data includes the current rise rate, voltage drop amplitude, harmonic response amplitude, total harmonic distortion rate, power fluctuation amplitude, high-frequency ripple amplitude of voltage or current, and common-mode interference coupling sensitivity at the moment of power-on.

[0013] More preferably, In step 2, the connection time of each load during the power switching process is determined in the following way: Based on the electrical disturbance feature vector, a weighted scoring function is used to calculate the disturbance risk score. Based on the disturbance risk score, different loads to be accessed are classified into different levels to form a load disturbance level mapping table. Based on the load disturbance level mapping table, the loads are divided into high disturbance, medium disturbance and low disturbance levels, and a different access strategy is set for each level. When the disturbance risk score of a certain load is greater than the preset first risk threshold, the disturbance level of the load is high disturbance level, and the high disturbance level load is set to be connected after a first preset time delay. When the disturbance risk score of a certain load is greater than the preset second risk threshold and less than or equal to the preset first risk threshold, the disturbance level of the load is medium disturbance level. The medium disturbance level load is set to be connected after the energy storage module is activated. When the disturbance risk score of a certain load is less than or equal to the preset second risk threshold, the disturbance level of the load is low disturbance level, and the low disturbance level load can be directly connected. Among them, the first risk threshold is greater than the second risk threshold.

[0014] More preferably, in step 3, the implementation of a dynamic differentiated access strategy for high-sensitivity loads and high-priority loads includes: Based on the load access timing determination function, the access time of high-sensitivity loads and high-priority loads is controlled; Based on the load access time window function, the access time window of high-sensitivity loads and high-priority loads is controlled to ensure a smooth transition during access. Among them, a high-sensitivity load refers to a load whose tolerance to voltage fluctuations is less than a preset tolerance threshold. High-priority loads refer to loads that are related to security and the continuity of core business operations.

[0015] More preferably, In step 4, during each power switching process, real-time global operation data is collected. Based on the global operation data, different types of data are synchronized, aligned, and structured using a unified timestamp and event identifier to form a global operation dataset. Event extraction and causal modeling are performed on the global operation dataset to construct a switching event chain graph.

[0016] The second aspect of this invention discloses an emergency power supply multi-mode switching control system based on the aforementioned switching control method, comprising a power supply switching scheduling sequence generation module, a load disturbance identification module, a switching control execution module, and a status feedback management module; The power supply switching scheduling sequence generation module collects power supply operating parameters and constructs a power supply status activation map; it then generates a power supply switching scheduling sequence based on the power supply status activation map. The load disturbance identification module performs a power-on disturbance simulation test on the load to be connected, extracts electrical disturbance features to obtain an electrical disturbance feature vector, generates a load disturbance level mapping table based on the electrical disturbance feature vector, and determines the connection time of each load during the power switching process. The switching control execution module pre-adjusts the output voltage based on the voltage fluctuation prediction model during the power switching scheduling sequence execution, uses a phase compensation mechanism to control the phase continuity of the output voltage, and implements a dynamic differentiated access strategy for high-sensitivity loads and high-priority loads based on the load access timing determination function and the load access time window function. The status feedback management module collects global operational data during the switching process and generates a switching event chain graph based on the global operational data.

[0017] The third aspect of the present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory; characterized in that: the processor executes the computer program to implement the steps of the emergency power supply multi-mode switching control method.

[0018] The fourth aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of the emergency power supply multi-mode switching control method.

[0019] Compared with the prior art, the present invention has the following beneficial effects: This invention designs a phase adjustment mechanism based on a time-varying phase compensation function to dynamically adjust the phase compensation amount, ensuring a smooth phase transition during power switching. It monitors voltage fluctuations in real time and dynamically adjusts the filter response based on the intensity of voltage fluctuations, reducing the amplitude of voltage fluctuations and smoothing phase errors during power switching. Through an adaptive filter and gain adjustment formula, the phase compensation gain can be adjusted according to the magnitude and rate of change of the phase error, ensuring that the phase correction process after power switching is both rapid and does not lead to overcompensation. This effectively avoids the problem of phase discontinuity, making the phase change during power switching smoother and more stable.

[0020] By dynamically adjusting the phase compensation control gain, overreaction during phase compensation is avoided, ensuring a smoother power switching process. Using a gain adjustment formula, the gain is dynamically adjusted based on the phase error and its rate of change, ensuring rapid correction of large phase errors in the initial stage of power switching. However, the gain gradually decreases over time, avoiding overcompensation and unnecessary adjustments. The introduction of a time-varying factor causes the phase compensation intensity to gradually weaken over time, preventing oscillations caused by continuous overcompensation during power switching. An adaptive filter is used to dynamically adjust the filter response based on the intensity of voltage fluctuations, flexibly handling fluctuations during power switching. Using a gain adjustment formula, the control gain is automatically adjusted based on phase error and its rate of change, enabling the system to respond quickly and accurately to different power switching scenarios.

[0021] By combining a time-varying phase compensation function and a dynamic gain adjustment formula, this invention can effectively cope with rapid changes in the system and ensure rapid correction of phase errors in the initial stage through adaptive gain control. In the initial switching phase, a high gain is used to quickly correct large phase errors, ensuring stable power output. As time progresses, the gain gradually decreases to avoid overcompensation and ensure the system gradually stabilizes. This improves the system's response speed, especially in rapid correction during power switching; it also enhances the system's robustness, ensuring stable voltage output under different loads and switching scenarios during power switching.

[0022] By setting load access timing determination functions and load access time window functions, the timing of load access can be dynamically adjusted based on disturbance level, load type, and power redundancy during power switching, effectively avoiding the problem of inaccurate load access timing in existing technologies. By accessing loads when disturbances are low and high-sensitivity loads have the highest priority, high-sensitivity loads are prevented from being accessed when disturbances are high, thus reducing the impact of voltage fluctuations on the load. Differentiated time windows ensure that load access does not cause system instability, guaranteeing a smooth load transition. Dynamic differentiated access strategies are adopted for high-sensitivity and high-priority loads to ensure they are accessed appropriately during power switching. High-sensitivity loads are accessed when power disturbances are low through a high-sensitivity load priority access rule, avoiding instability caused by excessive power disturbances. This improves system operating efficiency, ensures efficient load access and power utilization, and reduces power waste and load instability caused by unreasonable access. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of a multi-mode switching control method for emergency power supplies according to the present invention; Figure 2 This is a schematic diagram of the structure of an emergency power supply multi-mode switching control system according to the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0025] The present application will be further described in detail below with reference to the accompanying drawings and embodiments. The following embodiments are explanations of the present application and the present application is not limited to the following embodiments.

[0026] This invention discloses a multi-mode switching control method for emergency power supplies, see appendix. Figure 1 The control method includes the following steps: Step 1: Collect power supply operating parameters, extract power supply operating characteristics by combining multi-dimensional time window analysis and frequency domain conversion, form a power supply state set, construct a power supply state activation map, and output a power supply switching scheduling sequence based on the power supply state activation map. Each power source is treated as a node in the graph, and the switchable paths between different power sources are treated as edges. A power source status activation graph is established, where the power source status is used as the node status.

[0027] Based on the electrical parameter characteristics and electrical distance between adjacent power supply nodes in the power supply state activation graph, the cost of switching power supply between adjacent nodes is calculated and used as the weight value of each side. A graph optimization algorithm is used to perform path search on the power supply state activation graph and generate a power supply switching scheduling sequence in order of increasing switching cost.

[0028] When calculating the weight value of an edge, the weighted sum of the normalized absolute values ​​of the frequency difference, voltage difference, and phase difference between adjacent power sources is used as the electrical quality cost; the normalized value of the electrical distance between adjacent power sources is used as the electrical distance cost; and the weighted sum of the electrical quality cost and the electrical distance cost is used as the adjacent power source switching cost. The weight value of each edge is the adjacent power source switching cost.

[0029] Step 2: Conduct power-on disturbance behavior simulation tests on the loads to be connected, obtain electrical disturbance characteristic indicators, establish a disturbance risk vector model and generate a load disturbance level mapping table, and determine the connection order and method of each load during the power switching process. Apply a preset test voltage and current to the load to be connected to perform a power-on simulation test, and collect the electrical disturbance response data of the load. The electrical disturbance response data includes the current rise rate, voltage drop amplitude, harmonic response amplitude, total harmonic distortion rate, power fluctuation amplitude, high-frequency ripple amplitude of voltage or current, and common-mode interference coupling sensitivity at the moment of power-on.

[0030] The connection time of each load during the power switching process is determined by the following method: Based on the electrical disturbance feature vector, a weighted scoring function is used to calculate the disturbance risk score. Based on the disturbance risk score, different loads to be accessed are classified into different levels to form a load disturbance level mapping table. Based on the load disturbance level mapping table, the loads are divided into high disturbance, medium disturbance and low disturbance levels, and a different access strategy is set for each level. When the disturbance risk score of a certain load is greater than the preset first risk threshold, the disturbance level of the load is high disturbance level, and the high disturbance level load is set to be connected after a first preset time delay. When the disturbance risk score of a certain load is greater than the preset second risk threshold and less than or equal to the preset first risk threshold, the disturbance level of the load is medium disturbance level. The medium disturbance level load is set to be connected after the energy storage module is activated. When the disturbance risk score of a certain load is less than or equal to the preset second risk threshold, the disturbance level of the load is low disturbance level, and the low disturbance level load can be directly connected. Among them, the first risk threshold is greater than the second risk threshold.

[0031] Step 3: During the execution of the power switching scheduling sequence, based on the parameter differences between the current target power supply and the power supply to be deactivated, ripple suppression and phase continuity control are performed on the output voltage; and based on the load access timing determination function and the load access time window function, dynamic differentiated access strategies are implemented for high-sensitivity loads and high-priority loads in the same disturbance level loads. Implementing dynamic differentiated access strategies for high-sensitivity and high-priority loads includes: Based on the load access timing determination function, the access time of high-sensitivity loads and high-priority loads is controlled; Based on the load access time window function, the access time window of high-sensitivity loads and high-priority loads is controlled to ensure a smooth transition during access. Among them, a high-sensitivity load refers to a load whose tolerance to voltage fluctuations is less than a preset tolerance threshold. High-priority loads refer to loads that are related to security and the continuity of core business operations.

[0032] Step 4: Collect global operational data during the handover process and generate a handover event chain graph based on the global operational data.

[0033] During each power switching process, real-time global operation data is collected. Based on the global operation data, different types of data are synchronized, aligned, and structured using a unified timestamp and event identifier to form a global operation dataset. Events are extracted and causal modeling is performed on the global operation dataset to construct a switching event chain graph.

[0034] Another aspect of this application discloses an emergency power supply multi-mode switching control system based on an emergency power supply multi-mode switching control method. Please refer to [link to relevant documentation]. Figure 2 As shown, it includes a power switching scheduling sequence generation module, a load disturbance identification module, a switching control execution module, and a status feedback management module.

[0035] The power supply switching scheduling sequence generation module collects power supply operating parameters and constructs a power supply status activation map; it then generates a power supply switching scheduling sequence based on the power supply status activation map. The load disturbance identification module performs a power-on disturbance simulation test on the load to be connected, extracts electrical disturbance features to obtain an electrical disturbance feature vector, generates a load disturbance level mapping table based on the electrical disturbance feature vector, and determines the connection time of each load during the power switching process. The switching control execution module pre-adjusts the output voltage based on the voltage fluctuation prediction model during the power switching scheduling sequence execution, uses a phase compensation mechanism to control the phase continuity of the output voltage, and implements a dynamic differentiated access strategy for high-sensitivity loads and high-priority loads based on the load access timing determination function and the load access time window function. The status feedback management module collects global operational data during the switching process and generates a switching event chain graph based on the global operational data.

[0036] Example 1 Please see Figure 1 As shown in Embodiment 1, an emergency power supply multi-mode switching control method proposed in this invention is further illustrated, including: In traditional power switching methods, especially during emergency power switching, phase jumps or phase discontinuities are common. This is mainly because the phase difference changes significantly during power switching, and the system's response to these phase changes is slow, leading to unstable power output and thus large voltage fluctuations. Especially under conditions of significant load changes and power switching delays, system oscillations are more severe, and the power output voltage may become unstable, affecting the normal operation of equipment.

[0037] Excessive phase compensation can cause system oscillations, especially when the gain is improperly set or over-compensated, further degrading system stability. Current power switching gains are typically fixed and cannot be automatically adjusted based on dynamic changes in phase difference, load variations, and other factors during power switching, leading to phase jumps or excessive phase compensation, ultimately affecting power supply stability.

[0038] Existing power switching methods often fail to respond quickly to rapid load changes and delays during the power switching process. This lag can affect power stability, especially in emergency situations where the power system may be unable to stabilize the required voltage within a short time, potentially leading to power instability and affecting the normal operation of electrical equipment.

[0039] Power supply systems often respond slowly to changes, especially during power switching. Load variations and external disturbances can cause system lag, leading to unstable output voltage. The power supply system's inability to adapt to rapid load changes or dynamic changes during power switching results in unstable voltage output, failing to meet the power demands of the equipment.

[0040] In existing technologies, load connection is typically based on simple time series or fixed rules, which cannot adapt to the dynamic response to disturbances during power switching. Due to the lack of adaptation to load types (such as highly sensitive loads or high-priority loads), loads may be connected too early or too late during power switching, resulting in excessive voltage fluctuations or system instability, which in turn affects the normal operation of the load.

[0041] The load access rules are too simplistic and fail to dynamically adjust the timing of load access based on power switching disturbances in real time. The differences between highly sensitive loads (loads sensitive to voltage fluctuations and phase changes) and high-priority loads (loads with priority during system operation) are not fully considered, resulting in the inability to reasonably adjust the access timing of these loads according to the system's stability requirements.

[0042] Existing power switching methods fail to adequately consider power redundancy levels and load capacity. In particular, during power switching, they cannot reasonably select the switching timing based on the power redundancy, resulting in inappropriate load connection timing, which may cause power overload or load instability, thereby affecting system operation.

[0043] The existing system fails to optimize power switching timing by incorporating power redundancy levels, thus failing to efficiently utilize redundant power supplies to cope with load changes. The system also fails to consider the load's capacity and requirements during power switching, resulting in excessive power pressure upon load connection, potentially leading to overload or voltage instability.

[0044] Overly static control strategies: Most existing power switching and load connection controls are based on fixed rules or time sequences, lacking real-time response capabilities to dynamic changes. Existing methods fail to adaptively adjust phase difference, load type, and disturbance intensity during power switching, causing the system to be unable to maintain stability in complex power switching scenarios. Furthermore, existing methods do not fully consider the combined effects of phase, load, and disturbance factors during power switching, resulting in inadequate guarantee of system stability.

[0045] To effectively solve the above problems, this invention proposes a multi-mode switching control method for emergency power supplies, comprising: S1. Collect power supply operating parameters, extract power supply operating characteristics, form a power supply state set, construct a power supply state activation map, and output a power supply switching scheduling sequence based on the power supply state activation map. Methods for constructing power supply state activation maps include: Collect power supply operating parameters, including mains input, DC energy storage, vehicle power supply and solar input; power supply operating parameters include output voltage, current, frequency, phase, power factor, power margin, voltage ripple and harmonic distortion rate of each power supply. Stability analysis was performed on the collected power supply operating parameters according to a multi-dimensional time window, which included short-time, medium-time, and long-time windows. Frequency domain transformation was performed on the time-domain signals of each power supply to extract its operating characteristics. Frequency domain transformation included extracting harmonic components, total harmonic distortion, peak harmonic ratio, and power spectral density based on Fourier transform. The time-domain and frequency-domain features were concatenated to form a multi-dimensional power supply state vector representing the power supply's operating status. A power supply state set was constructed. Based on this state set, each power supply was used as a node in a graph, and switchable paths between different power supplies were used as edges. A graph structure was then used to establish a power supply state activation graph.

[0046] Among them, the short time window < medium time window < long time window, and those skilled in the art can set it according to the actual situation.

[0047] Methods for obtaining the power switching scheduling sequence include: Each power source is represented as a node in the graph, and the switchable conditions between different power sources are represented as edges in the graph. A power source state activation graph is established, where the power source state is used as the node state parameter.

[0048] Based on the electrical parameter characteristics and electrical distance between adjacent power supply nodes in the power supply state activation graph, the cost of switching power supply between adjacent nodes is calculated and used as the weight value of each side. A graph optimization algorithm is used to perform path search on the power supply state activation graph and generate a power supply switching scheduling sequence in order of increasing switching cost.

[0049] When calculating the weight value of an edge, the weighted sum of the normalized absolute values ​​of the frequency difference, voltage difference, and phase difference between adjacent power sources is used as the electrical quality cost; the normalized value of the electrical distance between adjacent power sources is used as the electrical distance cost; and the weighted sum of the electrical quality cost and the electrical distance cost is used as the adjacent power source switching cost. The weight value of each edge is the adjacent power source switching cost.

[0050] Those skilled in the art should consider, based on the actual situation, whether to prioritize grid stability (i.e., minimal changes in electrical parameters) or cost. If grid stability is prioritized, the weight of electrical quality cost should be set higher, for example, 0.7-0.9; otherwise, it should be set lower, 0.5-0.6; the sum of the weights for electrical distance cost and electrical quality cost should be 1.

[0051] A graph optimization algorithm is used to search for paths in the power supply state activation graph. The graph optimization algorithm includes any one of the following: shortest cost path algorithm, path search algorithm with redundancy constraints, and learning optimization algorithm based on graph neural network. The power supply switching scheduling sequence includes the activation order of the target power supply, the expected response time of each switching step, the risk level, the required buffer operation information, and the power supply adaptation relationship of the corresponding load.

[0052] S2. Conduct power-on disturbance behavior simulation tests on the loads to be connected, obtain electrical disturbance feature vectors, establish a load disturbance level mapping table, and determine the connection time and method of each load during the power switching process. Methods for obtaining electrical disturbance feature vectors include: Apply a preset test voltage and current to the load to be connected, and collect the electrical disturbance response data of the load. The electrical disturbance response data includes the current rise rate, voltage drop amplitude, harmonic response amplitude, total harmonic distortion rate, power fluctuation amplitude, high frequency ripple amplitude of voltage or current, and common mode interference coupling sensitivity at the moment of power-on. The preset test voltage, current slope, current amplitude, and on-time duration range should ensure that the load is not damaged, and should be customized according to specific production requirements.

[0053] An electrical disturbance feature vector is constructed based on the collected electrical disturbance response parameters.

[0054] Methods for determining the connection time and method of each load during power switching include: The electrical disturbance eigenvector A is represented by the following formula: A = [Current rise rate at power-on, voltage drop amplitude, harmonic response amplitude, total harmonic distortion, power fluctuation amplitude, high-frequency ripple amplitude of voltage or current, common-mode interference coupling sensitivity].

[0055] Based on the electrical disturbance feature vector, a weighted scoring function is used to calculate the disturbance risk score. The weighted scoring function multiplies each vector by a preset weight coefficient and sums the results. The calculation formula is as follows: , in, This is the disturbance risk score. This is the normalized characteristic vector of the current rise rate at the instant of power-on. This is the normalized voltage drop amplitude feature vector. This is the normalized harmonic response amplitude eigenvector. This is the normalized total harmonic distortion rate eigenvector. This is the normalized power fluctuation amplitude feature vector. This is the normalized high-frequency ripple amplitude characteristic vector of voltage or current. This is the normalized characteristic vector of the current rise rate at the instant of power-on. To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weight coefficients, and satisfying .

[0056] Those skilled in the art can set the weighting coefficient values ​​according to the actual situation.

[0057] Based on the disturbance risk score, different loads to be connected are sorted and classified into different levels to form a load disturbance level mapping table. According to the load disturbance level mapping table, the loads are divided into high disturbance, medium disturbance and low disturbance levels. The classification range is customized according to specific production requirements, and a differentiated access strategy is set for each level.

[0058] When the disturbance risk score of a certain load is greater than the preset first risk threshold, the disturbance level of the load is high disturbance level; the high disturbance level load is set to be connected after a first preset time delay after power switching; When the disturbance risk score of a certain load is greater than the preset second risk threshold and less than or equal to the preset first risk threshold, the disturbance level of the load is medium disturbance level; the medium disturbance level load is set to be connected after the energy storage module is activated. When the disturbance risk score of a certain load is less than or equal to the preset second risk threshold, the disturbance level of the load is low disturbance level, and the low disturbance level load can be directly connected; wherein, the first risk threshold is greater than the second risk threshold.

[0059] S3. During the execution of the power switching scheduling sequence, based on the parameter difference between the current target power supply and the power supply to be deactivated, the output voltage is subjected to ripple suppression and phase continuity control; and based on the load access timing determination function and the load access time window function, a dynamic differentiated access strategy is implemented for high-sensitivity loads and high-priority loads in the same disturbance level loads. Methods for ripple suppression and phase continuity control of output voltage include: A time series model is trained based on historical power supply operating parameters, and the time series model is used to predict future voltage fluctuations. The predicted voltage fluctuations are used to adjust the target voltage in advance and reduce voltage fluctuations during power supply switching. Based on historical voltage data, a cubic spline function is selected to fit the voltage waveform. A low-pass filter is used to remove noise and fluctuations caused by power switching. Voltage fluctuations are monitored in real time, and an adaptive filter is used to dynamically adjust the filter response according to voltage fluctuations. The system presets the phase of the target power supply and the phase of the current power supply during power switching, and obtains the phase difference between the target power supply and the current power supply; the phase of the target power supply is... The current power supply phase is The phase difference between the target power supply and the current power supply is... : ; The phase compensation amount is dynamically adjusted based on a time-varying phase compensation function; the time-varying phase compensation function is as follows: ; in, Indicates the current time point The corresponding phase compensation amount; Indicates the current time point The phase difference between the target power supply and the current power supply; Represents the phase compensation control gain, a control coefficient used to control the compensation intensity; and represents the time-varying factor, a decay factor that varies with time. As time progresses, the compensation intensity gradually weakens in order to avoid overcompensation and to ensure that the compensation process is relatively rapid in the initial stage after power switching, and gradually weakens after stabilization. During power switching, phase error changes over time. Phase error may increase rapidly, especially during the initial switching phase, or the switching speed and stability may vary with load changes. In such cases, the control gain must be dynamically adjusted according to the magnitude of the phase error to quickly correct larger errors. During power switching, the system may experience some oscillations, particularly when phase compensation is insufficient or the gain setting is unreasonable, potentially leading to excessive fluctuations in the power output. Excessive phase compensation may cause the system to constantly adjust, resulting in unnecessary oscillations.

[0060] The phase compensation control gain in the time-varying phase compensation function is dynamically adjusted using a gain adjustment formula; the gain adjustment formula is as follows: ; in, This indicates the dynamically adjusted phase compensation control gain. The coefficient representing the effect of phase difference on gain determines the phase difference. The degree of impact on control gain; It represents the influence coefficient of the phase change rate on the gain, and the response of the control system to the phase change rate.

[0061] It's important to note that the gain adjustment formula is a core principle of classical proportional control. A large phase error indicates the system deviates significantly from the target, requiring increased gain to quickly reduce the error. This is based on the idea of ​​derivative control. If the phase error changes very rapidly, the system is undergoing significant dynamic changes, necessitating higher gain for phase compensation to accelerate correction. This design is inspired by PID control theory; the derivative term in a PID controller is used to adjust the rate of error change to prevent over-response. This design is based on the stability requirements of classical feedback control systems, where the intervention of control variables should be reduced after the system stabilizes to prevent over-adjustment. This gain adjustment mechanism has been validated in many practical applications. For example, in power systems, dynamically adjusting the gain to cope with rapidly changing loads and voltage fluctuations is a common technique. Similar adaptive control mechanisms are used in power system regulation, robot control, and autonomous driving systems. They utilize real-time errors and rates of change to adjust the control gain, thereby improving system stability and responsiveness.

[0062] A phase compensation mechanism is used to ensure the phase continuity of the output voltage during power switching.

[0063] This solution addresses the following problems in existing technologies: During power switching, especially emergency power switching, phase jumps or discontinuities often occur. Because the phase difference can change significantly during power switching, and the system's response is slow in the initial stages, this leads to unstable power output and large voltage fluctuations. Particularly under the influence of load changes and switching delays, the system may experience oscillations, resulting in unstable power output voltage and affecting normal equipment operation. Excessive phase compensation during power switching can cause system oscillations, especially when the gain setting is improper or over-compensation occurs. Excessive adjustment leads to repeated system adjustments, resulting in large fluctuations in power output voltage and even unnecessary oscillations. Such oscillations can affect the normal operation of load equipment and may even cause equipment damage. In existing power switching methods, the gain is usually fixed and cannot be automatically adjusted according to dynamic changes during the power switching process. Especially when the power switching process is complex (e.g., large load fluctuations, long power switching delays), static gain settings cannot meet actual needs. Fixed gain may lead to a lag in system response and an inability to quickly correct phase errors. Many existing power switching control methods cannot respond quickly to rapid load changes and delays during power switching. A lag in the response of a power supply system to changes can affect the stability of the power supply, especially in emergency situations where the power supply cannot stably output the required voltage in a short period of time.

[0064] This invention designs a phase adjustment mechanism based on a time-varying phase compensation function to dynamically adjust the phase compensation amount, ensuring a smooth phase transition during power switching. It monitors voltage fluctuations in real time and dynamically adjusts the filter response based on the intensity of voltage fluctuations, reducing the amplitude of voltage fluctuations and smoothing phase errors during power switching. Through an adaptive filter and gain adjustment formula, the phase compensation gain can be adjusted according to the magnitude and rate of change of the phase error, ensuring that the phase correction process after power switching is both rapid and does not lead to overcompensation. This effectively avoids the problem of phase discontinuity, making the phase change during power switching smoother and more stable.

[0065] By dynamically adjusting the phase compensation control gain, overreaction during phase compensation is avoided, ensuring a smoother power switching process. Using a gain adjustment formula, the gain is dynamically adjusted based on the phase error and its rate of change, ensuring rapid correction of large phase errors in the initial stage of power switching. However, the gain gradually decreases over time, avoiding overcompensation and unnecessary adjustments. The introduction of a time-varying factor causes the phase compensation intensity to gradually weaken over time, preventing oscillations caused by continuous overcompensation during power switching. An adaptive filter is used to dynamically adjust the filter response based on the intensity of voltage fluctuations, flexibly handling fluctuations during power switching. Using a gain adjustment formula, the control gain is automatically adjusted based on phase error and its rate of change, enabling the system to respond quickly and accurately to different power switching scenarios.

[0066] By combining a time-varying phase compensation function and a dynamic gain adjustment formula, this invention can effectively cope with rapid changes in the system and ensure rapid correction of phase errors in the initial stage through adaptive gain control. In the initial switching phase, a high gain is used to quickly correct large phase errors, ensuring stable power output. As time progresses, the gain gradually decreases to avoid overcompensation and ensure the system gradually stabilizes. This improves the system's response speed, especially in rapid correction during power switching; it also enhances the system's robustness, ensuring stable voltage output under different loads and switching scenarios during power switching.

[0067] Methods for generating switching control strategies adapted to multiple scenarios include: Identify load types, including high-sensitivity loads and high-priority loads. Loads with a tolerance to voltage fluctuations less than a preset tolerance threshold are defined as high-sensitivity loads; loads that are related to safety and core business continuity are defined as high-priority loads. The preset load tolerance threshold for voltage fluctuations is set by the staff. By collecting the tolerance of different loads to voltage fluctuations, the average value of the tolerance of multiple loads to voltage fluctuations is taken as the preset load tolerance threshold for voltage fluctuations. The load access sequence is dynamically adjusted. Based on the load disturbance level mapping table, the disturbance intensity generated during power switching is determined, and the access timing is adjusted according to the load type. The time window for power switching and load access is optimized, and the access of high-priority loads is delayed. Implement a dynamic differentiated access strategy, accessing high-sensitivity and high-priority loads in stages during power switching, and automatically adjusting the access order based on real-time voltage and load status; set a load access timing determination function to control the load access time. The load connection timing determination function is: ; in, Indicates a point in time Access decision value; Indicates the disturbance level during power switching; Indicates the preset disturbance level threshold; Indicates the priority of highly sensitive workloads; This indicates the highest priority value for highly sensitive loads; Based on the different stages of power switching and load characteristics, a load connection time window function is used to define the connection time window for each load to ensure a smooth transition when the load is connected.

[0068] The load access time window function is: ; in, Indicates the time window for load access; Indicates the current time point The load is a highly sensitive load; Indicates the current time point The load is a high-priority load; Indicates a low-disturbance time window; This indicates the time window of high disturbance.

[0069] S4. Collect global operational data during the switching process and generate a switching event chain graph based on the global operational data.

[0070] Methods for generating switching event chain graphs based on global operational data include: During each power switching operation, real-time global operational data is collected. This global operational data includes power supply-side data, load-side data, control strategy execution status data, and environmental parameter data. Power supply-side data includes voltage, current, frequency, phase, and power changes during power activation and deactivation, as well as buffer unit activation status. Load-side data includes the connection time, disturbance level, connection success or failure, and corresponding electrical disturbance response data for each load. Control strategy data includes scheduling paths, control timing, and execution feedback status. Environmental parameters include bus voltage interference, remaining power supply capacity, and system operating temperature. Based on the global operational data, different types of data are synchronized, aligned, and structured using a unified timestamp and event identifier to form a global operational dataset. Event extraction and causal modeling are performed on the global operational dataset to construct a switching event chain graph.

[0071] Time alignment is performed on different types of data in the global operation data based on timestamps. A subset of global operation data corresponding to each time point is constructed based on the event identifier, timestamp, and different types of data corresponding to that timestamp. The event identifier includes 0, 1, 2, 3, 4, and 5; 0 corresponds to no event; 1 corresponds to power switching event, 2 corresponds to buffer energy injection event, 3 corresponds to load access event, 4 corresponds to control policy update event, and 5 corresponds to anomaly feedback event. The global operational dataset is constructed based on the subsets of global operational data corresponding to all times.

[0072] Events are extracted from the global runtime dataset. A subset of global runtime data with non-zero event identifiers is extracted and arranged by timestamp to form an event sequence dataset. A causal extraction model is established based on Causal Models; Choose a time point as the cut point to divide the event sequence dataset into a training set and a test set; The causal extraction model is trained by taking the event identifiers of the former and different types of data from each pair of adjacent global running data subsets in the training set as inputs to the causal extraction model and the event identifiers of the latter as outputs to the causal extraction model. After training is completed, the trained causal extraction model is tested using every two adjacent subsets of global running data in the test set. If the predicted events are correct, a causal relationship is recorded between the events corresponding to the event identifiers in these two subsets of global running data. By treating events as nodes and the causal relationships between events as edges, a switching event chain graph is constructed.

[0073] This embodiment employs a phase adjustment mechanism based on a time-varying phase compensation function to dynamically adjust the phase compensation amount, ensuring a smooth phase transition during power switching. Real-time monitoring of voltage fluctuations and dynamic adjustment of the filter response based on fluctuation intensity reduce the amplitude of voltage fluctuations and smooth phase errors during power switching. Through an adaptive filter and gain adjustment formula, the phase compensation gain can be adjusted according to the magnitude and rate of change of the phase error, ensuring that the phase correction process after power switching is both rapid and avoids overcompensation. This effectively avoids phase discontinuities, resulting in smoother and more stable phase changes during power switching.

[0074] By dynamically adjusting the phase compensation control gain, overreaction during phase compensation is avoided, ensuring a smoother power switching process. Using a gain adjustment formula, the gain is dynamically adjusted based on the phase error and its rate of change, ensuring rapid correction of large phase errors in the initial stage of power switching. However, the gain gradually decreases over time, avoiding overcompensation and unnecessary adjustments. The introduction of a time-varying factor causes the phase compensation intensity to gradually weaken over time, preventing oscillations caused by continuous overcompensation during power switching. An adaptive filter is used to dynamically adjust the filter response based on the intensity of voltage fluctuations, flexibly handling fluctuations during power switching. Using a gain adjustment formula, the control gain is automatically adjusted based on phase error and its rate of change, enabling the system to respond quickly and accurately to different power switching scenarios.

[0075] By combining a time-varying phase compensation function and a dynamic gain adjustment formula, this invention can effectively cope with rapid changes in the system and ensure rapid correction of phase errors in the initial stage through adaptive gain control. In the initial switching phase, a high gain is used to quickly correct large phase errors, ensuring stable power output. As time progresses, the gain gradually decreases to avoid overcompensation and ensure the system gradually stabilizes. This improves the system's response speed, especially in rapid correction during power switching; it also enhances the system's robustness, ensuring stable voltage output under different loads and switching scenarios during power switching.

[0076] By setting load access timing determination functions and load access time window functions, the timing of load access can be dynamically adjusted based on disturbance level, load type, and power redundancy during power switching, effectively avoiding the problem of inaccurate load access timing in existing technologies. By accessing loads when disturbances are low and high-sensitivity loads have the highest priority, high-sensitivity loads are prevented from being accessed when disturbances are high, thus reducing the impact of voltage fluctuations on the load. Differentiated time windows ensure that load access does not cause system instability, guaranteeing a smooth load transition. Dynamic differentiated access strategies are adopted for high-sensitivity and high-priority loads to ensure they are accessed appropriately during power switching. High-sensitivity loads are accessed when power disturbances are low through a high-sensitivity load priority access rule, avoiding instability caused by excessive power disturbances. This improves system operating efficiency, ensures efficient load access and power utilization, and reduces power waste and load instability caused by unreasonable access.

[0077] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0078] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0079] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0080] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A multi-mode switching control method for emergency power supplies, characterized in that, include: Step 1: Collect power supply operating parameters, extract power supply operating characteristics, form a power supply state set, construct a power supply state activation map, and output a power supply switching scheduling sequence based on the power supply state activation map. Step 2: Conduct power-on disturbance behavior simulation tests on the loads to be connected, collect electrical disturbance response data of the loads, obtain electrical disturbance feature vectors, establish a load disturbance level mapping table, and determine the connection time and method of each load during the power switching process. The electrical disturbance response data includes the current rise rate, voltage drop amplitude, harmonic response amplitude, total harmonic distortion, power fluctuation amplitude, high-frequency ripple amplitude of voltage or current, and common-mode interference coupling sensitivity at the moment of power-on. The process involves determining the access time and method of each load during power switching, calculating a disturbance risk score based on the electrical disturbance feature vector using a weighted scoring function, classifying different loads to be connected according to the disturbance risk score, forming a load disturbance level mapping table, and classifying loads into high disturbance, medium disturbance, and low disturbance levels according to the load disturbance level mapping table, and setting a differentiated access strategy for each level; when the disturbance risk score of a load is greater than a preset first risk threshold, the disturbance level of the load is high disturbance level, and the high disturbance level load is set to be connected after a first preset time delay after power switching; when the disturbance risk score of a load is greater than a preset second risk threshold and less than or equal to a preset first risk threshold, the disturbance level of the load is medium disturbance level, and the medium disturbance level load is set to be connected after activating the energy storage module; when the disturbance risk score of a load is less than or equal to a preset second risk threshold, the disturbance level of the load is low disturbance level, and the low disturbance level load can be connected directly; wherein, the first risk threshold is greater than the second risk threshold. The weighted scoring function multiplies each vector by a preset weight coefficient and sums them. The calculation formula is as follows: ， in, This is the disturbance risk score. This is the normalized characteristic vector of the current rise rate at the instant of power-on. This is the normalized voltage drop amplitude feature vector. This is the normalized harmonic response amplitude eigenvector. This is the normalized total harmonic distortion rate eigenvector. This is the normalized power fluctuation amplitude feature vector. This is the normalized high-frequency ripple amplitude characteristic vector of voltage or current. This is the normalized characteristic vector of the current rise rate at the instant of power-on. To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weighting coefficients, To and The corresponding weight coefficients, and satisfying ; Step 3: During the execution of the power switching scheduling sequence, based on the parameter differences between the current target power supply and the power supply to be deactivated, ripple suppression and phase continuity control are performed on the output voltage; and based on the load access timing determination function and the load access time window function, dynamic differentiated access strategies are implemented for high-sensitivity loads and high-priority loads in the same disturbance level loads. The load access timing determination function is: ； in, Indicates at a point in time Access decision value; Indicates the disturbance level during power switching; This indicates the preset disturbance level threshold; Indicates the priority of highly sensitive workloads; This indicates the highest priority value for highly sensitive loads; The load access time window function is: ； in, Indicates the time window for load access; Indicates the current time point The load is a highly sensitive load; Indicates the current time point The load is a high-priority load; Indicates a low-disturbance time window; Indicates the high disturbance time window; Step 4: Collect global operational data during the handover process and generate a handover event chain graph based on the global operational data.

2. The emergency power supply multi-mode switching control method according to claim 1, characterized in that, In step 1, each power supply is used as a node in the graph, and the switchable paths between different power supplies are used as edges to establish a power supply status activation graph, where the power supply status is used as the node status parameter.

3. The emergency power supply multi-mode switching control method according to claim 1 or 2, characterized in that, In step 1, based on the electrical parameter characteristics and electrical distance between adjacent power supply nodes in the power supply state activation graph, the cost of switching power supply between adjacent nodes is calculated and used as the weight value of each side. A graph optimization algorithm is used to perform path search on the power supply state activation graph and generate a power supply switching scheduling sequence in order of increasing switching cost.

4. The emergency power supply multi-mode switching control method according to claim 3, characterized in that, When calculating the weight values ​​of the edges, the weighted sum of the normalized absolute values ​​of the frequency difference, voltage difference, and phase difference between adjacent node power sources is used as the electrical quality cost; the normalized value of the electrical distance between adjacent node power sources is used as the electrical distance cost. The weighted sum of electrical quality cost and electrical distance cost is used as the adjacent node power switching cost, and the weight value of each edge is the adjacent node power switching cost.

5. The emergency power supply multi-mode switching control method according to claim 1, characterized in that, In step 3, the implementation of dynamic differentiated access strategies for high-sensitivity loads and high-priority loads includes: Based on the load access timing determination function, the access time of high-sensitivity loads and high-priority loads is controlled; Based on the load access time window function, the access time window of high-sensitivity loads and high-priority loads is controlled to ensure a smooth transition during access. Among them, a high-sensitivity load refers to a load whose tolerance to voltage fluctuations is less than a preset tolerance threshold. High-priority loads refer to loads that are related to security and the continuity of core business operations.

6. The emergency power supply multi-mode switching control method according to claim 1, characterized in that, In step 4, during each power switching process, real-time global operation data is collected. Based on the global operation data, different types of data are synchronized, aligned, and structured using a unified timestamp and event identifier to form a global operation dataset. Events are extracted and causal models are performed on the entire running dataset to construct a switching event chain graph.

7. An emergency power supply multi-mode switching control system based on the switching control method according to any one of claims 1-6, comprising a power supply switching scheduling sequence generation module, a load disturbance identification module, a switching control execution module, and a status feedback management module, characterized in that: The power supply switching scheduling sequence generation module collects power supply operating parameters and constructs a power supply status activation map; it then generates a power supply switching scheduling sequence based on the power supply status activation map. The load disturbance identification module performs a power-on disturbance simulation test on the load to be connected, extracts electrical disturbance features to obtain an electrical disturbance feature vector, generates a load disturbance level mapping table based on the electrical disturbance feature vector, and determines the connection time of each load during the power switching process. The switching control execution module pre-adjusts the output voltage based on the voltage fluctuation prediction model during the power switching scheduling sequence execution, uses a phase compensation mechanism to control the phase continuity of the output voltage, and implements a dynamic differentiated access strategy for high-sensitivity loads and high-priority loads based on the load access timing determination function and the load access time window function. The status feedback management module collects global operational data during the switching process and generates a switching event chain graph based on the global operational data.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory; characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1-6.

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