UPS (Uninterrupted Power Supply) control method and system based on cloud data correction

Abstract

The invention relates to the technical field of power supply control, and discloses a UPS power supply control method and system based on cloud data correction, and the control method comprises the following steps: collecting an output frequency change curve, a phase offset and a bus current fluctuation track of a plurality of uninterruptible power supplies in a parallel operation state; performing time sequence alignment comparison under a unified time scale, extracting an original differential operation interval between the uninterruptible power supplies, and constructing a frequency dispersion reference range; based on the frequency dispersion reference range, differential splitting is carried out on output frequency fine adjustment parameters issued by the cloud, and the unified adjustment amount is converted into dispersion adjustment amount; according to the method, the frequency dispersion reference range is constructed, the adjustment amount is split in a differentiated manner, and time-staggered pushing and progressive control are combined, so that the dispersion operation state is maintained, and current superposition and misoperation are inhibited; and meanwhile, through dynamic compression and periodic offset alternation, the oscillation coupling risk is reduced, and the parallel operation stability and long-term reliability are improved.

Description

Technical Field

[0001] This invention relates to the field of power control technology, and more specifically to a UPS power control method and system based on cloud data correction. Background Technology

[0002] UPS (Uninterruptible Power Supply) is a power protection device that continuously provides stable power to the load in the event of mains power abnormalities or interruptions. Its core components include a rectifier unit, an inverter unit, a battery unit, and a bypass switching unit. Under normal conditions, the mains power is rectified to charge the battery and then supplies power to the load through the inverter unit. When the mains power experiences undervoltage, overvoltage, frequency deviation, or power failure, the battery seamlessly takes over the power supply within milliseconds, thereby maintaining the continuous operation of critical equipment such as servers, communication base stations, or industrial control devices. UPS power control based on cloud data correction refers to uploading the operating parameter data of UPS power supplies distributed at various sites to a cloud platform. On the cloud, the input voltage fluctuation curve, load power change trend, battery internal resistance growth trajectory, and ambient temperature deviation data are uniformly time-series aligned and deviation analyzed to form corrected parameters after comparison with historical operating data. The corrected charging and discharging thresholds, voltage compensation coefficients, and alarm judgment boundaries are then sent down to the field control unit, thereby achieving dynamic adjustment of inverter output accuracy, battery life management, and fault early warning sensitivity, improving power supply stability and operational reliability.

[0003] Furthermore, in existing technologies, when multiple UPS power supplies are simultaneously connected to the same cloud-based policy library, if the cloud sends consistent output frequency fine-tuning parameters to each UPS power supply within the same time window, the operating rhythm of each UPS power supply, which originally relied on slight frequency differences to achieve staggered operation, will tend to be consistent, easily disrupting the original phase dispersion state. Under the background of dynamic fluctuations on the load side, the above-mentioned synchronous adjustment can easily induce the output side frequency superposition effect, forming a local resonance phenomenon, which in turn causes the bus current to double in a very short time. The instantaneous surge in bus current can trigger the malfunction of the switch protection device, causing the power supply link to trip and interrupting the continuous power supply to critical loads, posing a significant systemic operational risk. Summary of the Invention

[0004] The purpose of this invention is to provide a UPS power supply control method and system based on cloud data correction to solve the problems mentioned in the background art. This invention maintains the distributed operation state and suppresses current superposition and malfunction by constructing a frequency dispersion reference range and differentially splitting the adjustment amount, combined with staggered push and gradual control. At the same time, it reduces the risk of oscillation coupling and improves the stability and long-term reliability of parallel operation by dynamic compression and periodic offset rotation.

[0005] To achieve the above objectives, the present invention provides the following technical solution: The UPS power control method based on cloud data correction includes the following steps: Step 1: Collect the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. Perform timing alignment comparison under a unified time scale, extract the original micro-difference operating range between each UPS, and construct a frequency dispersion reference range. Step 2: Based on the frequency dispersion reference range, the output frequency fine-tuning parameters sent from the cloud are differentiated and split, the uniform adjustment amount is converted into a dispersion adjustment amount, and the parameters are pushed out in a staggered manner in combination with the current phase offset of each uninterruptible power supply. Step 3: Perform progressive output frequency transition control under the decentralized adjustment amount, and synchronously collect the bus current fluctuation trajectory in each transition cycle, and link the decentralized adjustment amount with the bus current fluctuation amplitude for constraint. Step 4: Based on the linkage constraint, for the current rising inflection point in the bus current fluctuation trajectory, the dispersed adjustment amount is dynamically compressed to reduce the adjustment step size and extend the transition time window. Step 5: After the dynamic compression processing enters the stable stage, a periodic frequency offset rotation mechanism is constructed based on the frequency dispersion reference range. In different time slices, a small frequency offset with different directions is applied to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

[0006] The following are further optimizations of the above technical solution by the present invention: Constructing a frequency dispersion reference range includes the following steps: The output frequency variation curves of multiple uninterruptible power supplies in parallel operation are sampled point by point at fixed time intervals, and the phase offset and bus current fluctuation trajectory at the corresponding time scale are recorded simultaneously to form a three-dimensional correspondence including output frequency variation curve data points, phase offset data points and bus current amplitude data points. Within a unified time scale framework, the three-element correspondence relationship is arranged horizontally on a time scale, the frequency difference between multiple uninterruptible power supplies is calculated, and the frequency difference is time-synchronized with the bus current fluctuation trajectory to form a frequency difference change trajectory within a continuous time period. The frequency difference range is selected from the frequency difference change trajectory, and the frequency difference range that recurs in the stable fluctuation section is statistically collected to form the frequency difference floating zone. By integrating the frequency difference floating zones in chronological order, the upper and lower limits of the allowable frequency difference between multiple uninterruptible power supplies are determined, forming a frequency dispersion reference range.

[0007] Further optimization: The frequency difference floating zone is obtained by sorting the frequency difference in the stable fluctuation range in time sequence and excluding the frequency difference data corresponding to the sudden rise or fall of the bus current fluctuation trajectory. The resulting frequency dispersion reference range is corrected in the parallel operation by combining the continuously collected output frequency change curve, phase offset and bus current fluctuation trajectory.

[0008] Further optimization: In step two, the specific steps for differentiated splitting and staggered push notifications are as follows: The output frequency fine-tuning parameters sent from the cloud are used as a unified adjustment amount and frequency dispersion reference range for interval mapping. The unified adjustment amount is superimposed on the current output frequency base value of each uninterruptible power supply to form the target frequency value. Based on the upper and lower limits of the frequency difference limited by the frequency dispersion reference range, the unified adjustment amount is divided into multiple dispersion adjustment amounts according to the original frequency difference ratio. Read the current phase offset of each uninterruptible power supply, associate the distributed adjustment amount with the phase offset, construct a phase distribution sequence according to the phase position order, and sort the distributed adjustment amount according to the phase distribution sequence; The dispersed adjustment amount is divided into time slots according to the phase distribution sequence. Multiple dispersed adjustment amounts are allocated to different time slots and pushed sequentially. In each time slot, the dispersed adjustment amount is only applied to the corresponding uninterruptible power supply. During the process of pushing the distributed adjustment amount, the output frequency change curve is continuously recorded, and the output frequency change curve is compared with the frequency dispersion reference range to keep the frequency difference between each uninterruptible power supply within the frequency dispersion reference range limit.

[0009] Further optimization: The distributed adjustment amount is loaded sequentially in the order determined by the phase distribution sequence within the time slice, and during the loading process, the output frequency change curve is continuously adjusted according to the frequency difference range defined by the frequency dispersion reference range, so as to maintain the distributed operation state corresponding to the micro-difference operation range.

[0010] Further optimization: The progressive output frequency transition control includes the following steps: The dispersed adjustment amount is divided into multiple transition sub-segments, and the load is superimposed segment by segment according to the preset transition cycle to form a continuous transition cycle sequence. At the same time, the bus current fluctuation trajectory is collected synchronously within each transition cycle. Within the transition period sequence, the amplitude change segment of the bus current fluctuation trajectory is associated with the unloaded decentralized adjustment amount. The loading share of the decentralized adjustment amount is proportionally reduced according to the change of the bus current fluctuation amplitude, and the remaining decentralized adjustment amount is extended to be loaded in batches in subsequent transition periods. During the continuous transition cycle, the bus current fluctuation trajectory is trend-organized along the time axis to form a bus current fluctuation trend sequence, and the loading amplitude of the decentralized adjustment amount and the total duration of the transition cycle are restricted and adjusted based on the bus current fluctuation trend sequence. During the gradual loading of all distributed adjustment values, the output frequency change curve and the bus current fluctuation trajectory are integrated in time sequence. When a new distributed adjustment value is executed, the transition period sequence and the bus current fluctuation trend sequence are used for limiting adjustment.

[0011] Further optimization: During the period when the bus current fluctuation trend sequence shows a continuous upward trend, the loading amplitude of the decentralized adjustment amount is continuously limited, and the total duration of the transition period is extended simultaneously until the bus current fluctuation trend sequence returns to a stable range, and then the predetermined loading rhythm of the decentralized adjustment amount is restored.

[0012] Further optimization: Dynamic compression processing includes the following steps: During the transition period, the bus current fluctuation trajectory is continuously collected, and the bus current amplitude is sequentially arranged along a unified time scale. The current rise inflection point is identified by the direction of amplitude change between adjacent time scales, and the current rise inflection point is associated with the dispersed adjustment amount that has not yet been loaded. Based on the segment where the current rise inflection point is located, the dispersed adjustment amount is broken down into segments, the loading share in the original transition period is divided into multiple loading units, and the multiple loading units are allocated to be executed in the continuous transition period. The loading process of the distributed adjustment amount is extended over multiple transition cycles, and the transition time window is expanded simultaneously, so that the distributed adjustment amount is loaded in batches within the expanded transition time window. Within the extended transition time window, the output frequency change curve is compared with the frequency dispersion reference range. When a new current rise inflection point appears, the segmentation and transition time window extension process is repeated to maintain the dispersion operation state corresponding to the frequency dispersion reference range.

[0013] Further optimization: Constructing a periodic frequency offset rotation mechanism includes the following steps: Read the output frequency change curve and frequency dispersion reference range, sort out the actual frequency difference range between each uninterruptible power supply, and divide the complete operating cycle into several continuous time slices according to a unified time scale. Based on the corresponding positional relationship between the frequency dispersion reference range and the actual frequency difference interval, small frequency offsets with different directions are assigned to each time slice, and they are alternately configured according to the distribution of the frequency difference interval in the frequency dispersion reference range. Perform a small frequency offset within the time slice and record the output frequency change curve. At the same time, compare the actual frequency difference range with the frequency dispersion reference range. In the next time slice, adjust the direction of the small frequency offset according to the direction of the frequency difference change in the previous time slice. The system continuously executes time slice division and alternating configuration of micro-frequency offset within multiple operating cycles, and synchronously adjusts the direction and amplitude of micro-frequency offset according to the updated frequency dispersion reference range to maintain the dispersion operation pattern corresponding to the micro-difference operating range.

[0014] The present invention also provides a UPS power control system based on cloud data correction, which is used to implement the above-mentioned UPS power control method based on cloud data correction, including a frequency dispersion construction module, a parameter splitting and pushing module, a transition linkage control module, an inflection point compression adjustment module, and a rotation offset maintenance module. The frequency dispersion construction module collects the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. It performs timing alignment comparison under a unified time scale, extracts the original micro-difference operating range between each UPS, and constructs a frequency dispersion reference range. The parameter splitting and push module, based on the frequency dispersion reference range, differentiates the output frequency fine-tuning parameters sent from the cloud, converts the uniform adjustment amount into a dispersion adjustment amount, and pushes them in a staggered manner in combination with the current phase offset of each uninterruptible power supply. The transition linkage control module performs progressive output frequency transition control under the decentralized adjustment amount, and synchronously collects the bus current fluctuation trajectory in each transition cycle, and links the decentralized adjustment amount with the bus current fluctuation amplitude for constraint. The inflection point compression adjustment module, based on the linkage constraint, dynamically compresses the dispersed adjustment amount for the current rise inflection point in the bus current fluctuation trajectory, reducing the adjustment step and extending the transition time window. After the dynamic compression processing enters a stable phase, the rotation offset maintenance module constructs a periodic frequency offset rotation mechanism based on the frequency dispersion reference range. In different time slices, it applies small-amplitude frequency offsets in different directions to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

[0015] The present invention, by adopting the above technical solution, has at least the following beneficial effects: 1. This invention constructs a frequency dispersion reference range and converts the uniform adjustment amount into a dispersion adjustment amount. At the same time, it combines phase offset to push out the adjustment in a staggered manner and perform gradual transition control. This allows multiple uninterruptible power supplies to maintain a dispersion operation state corresponding to the micro-difference operating range when receiving the frequency fine-tuning parameters output from the cloud. From the perspective of operating rhythm, this invention avoids the risk of current superposition caused by the concentration of output frequency. It effectively suppresses the instantaneous surge of bus current during load fluctuations, reduces the probability of protection device malfunction, and improves the power supply continuity and overall stability under parallel operation conditions.

[0016] 2. This invention implements dynamic compression processing based on linkage constraints and constructs a periodic frequency offset rotation mechanism, so that the dispersed adjustment amount is flexibly released at the current rise inflection point stage, and the small frequency offset in different directions is continuously maintained in the stable stage. From the time dimension and amplitude dimension, the dispersed operation pattern corresponding to the small difference operation range is maintained, reducing the possibility of output side oscillation coupling, enhancing the anti-disturbance capability of multiple uninterruptible power supplies operating in coordination, delaying the risk accumulation caused by centralized synchronization, and improving the safety and reliability in long-term operation. Attached Figure Description

[0017] Figure 1 This is a flowchart of the UPS power control method based on cloud data correction according to the present invention; Figure 2 This is a schematic diagram of the UPS power control system based on cloud data correction according to the present invention. Detailed Implementation

[0018] Exemplary embodiments will now be described more fully with reference to the accompanying drawings; however, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these exemplary embodiments are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0019] This invention provides, for example Figure 1 The UPS power control method based on cloud data correction shown includes the following steps: Step 1: Collect the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. Perform timing alignment comparison under a unified time scale, extract the original micro-difference operating range between each UPS, and construct a frequency dispersion reference range.

[0020] The specific implementation method for step one is as follows: During the parallel operation of multiple uninterruptible power supplies (UPS), the output frequency variation curve of each UPS is continuously recorded. The recording method involves sampling point by point at fixed time intervals, with each sampling point corresponding to a unique time marker. Simultaneously, the phase offset value and the current amplitude data in the bus current fluctuation trajectory at that time point are recorded. The time markers are calibrated using a unified time scale, and the acquisition time of each UPS is referenced to the same reference time, forming a completely consistent time sequence number. The output frequency variation curve is stored in the form of a continuous time series, the phase offset is expressed as the offset angle of the current output waveform relative to the common reference phase, and the bus current fluctuation trajectory is expressed as the trajectory of the instantaneous amplitude of the bus current changing over time. At each time scale, a ternary correspondence is formed, including the output frequency variation curve data point, the phase offset data point, and the bus current amplitude data point. This ternary correspondence is continuously maintained throughout the parallel operation, thus forming a complete set of multi-UPS operating trajectory data.

[0021] Within a unified time scale framework, the output frequency variation curves of multiple uninterruptible power supplies (UPS) are compared time-slice by time. Taking any time scale as the analysis unit, the output frequency values ​​of all UPS at that time scale are arranged on the same horizontal time axis for horizontal comparison. The frequency difference between each UPS is calculated, and this frequency difference is correlated with the phase offset corresponding to the same time scale to form a frequency difference distribution sequence at the time scale level. Within the same time scale, the current amplitude data in the bus current fluctuation trajectory is read simultaneously, and the frequency difference distribution sequence is bound to the bus current amplitude change state at that time scale to establish a time synchronization relationship between the frequency difference and the bus current fluctuation. Subsequently, the process is expanded time-slice by time along the time axis, and the frequency difference distribution sequences formed within multiple time scales are arranged sequentially to form a frequency difference change trajectory within a continuous time period, while maintaining a complete correspondence with the bus current fluctuation trajectory in the time dimension.

[0022] Based on the frequency difference change trajectory formed over a continuous time period, time intervals where the bus current fluctuation trajectory is in a stable fluctuation range are selected. The frequency difference data corresponding to this time interval is extracted separately, and frequency difference data with sudden rises or falls in the bus current fluctuation trajectory are removed. For the retained frequency difference data, it is organized in chronological order, and the frequency difference intervals between each uninterruptible power supply within each time scale are statistically aggregated to form a set of frequency difference floating zones that recur within a continuous time period. This floating zone is represented by the upper and lower boundary values ​​of the frequency difference. The boundary values ​​come from the frequency difference range that occurs more frequently within the stable fluctuation range. At the same time, combined with the change trajectory of the phase offset within the corresponding time interval, it is confirmed that the phase dispersion state corresponding to this frequency difference floating zone remains continuous over multiple time periods. By accumulating and organizing the stable time intervals within multiple operating cycles, the influence of occasional offset data on the zone boundary is gradually reduced, forming a core frequency difference zone covering multiple cycles.

[0023] After obtaining the core frequency difference zone covering multiple operating cycles, the frequency difference floating zones formed in different time periods are integrated and superimposed in chronological order to form a frequency dispersion reference range within the complete operating cycle. This frequency dispersion reference range is represented in interval form, clearly defining the upper and lower limits of the frequency difference allowed between uninterruptible power supplies in parallel operation, and maintaining a one-to-one correspondence with the bus current fluctuation trajectory record corresponding to a unified time scale. The frequency dispersion reference range is continuously updated throughout the operating cycle. When new stable fluctuation segment data is added, the interval boundaries are synchronously corrected to ensure that the interval values ​​originate from the continuously acquired output frequency change curve, phase offset, and bus current fluctuation trajectory, representing the true operating trajectory. Through the above continuous acquisition, time alignment, time-by-time scale comparison, stable segment screening, and zone integration processing, a frequency dispersion reference range matching the parallel operation state is formed, providing specific numerical basis for maintaining the original micro-difference operating range during subsequent output frequency adjustment.

[0024] Step 2: Based on the frequency dispersion reference range, the output frequency fine-tuning parameters sent from the cloud are differentiated and split, the uniform adjustment amount is converted into a dispersion adjustment amount, and the parameters are pushed out in staggered time in combination with the current phase offset of each uninterruptible power supply to maintain the dispersion operation state corresponding to the micro-difference operation range.

[0025] The specific implementation method for step two is as follows: After receiving the output frequency fine-tuning parameters from the cloud, these parameters are analyzed as a unified adjustment amount and mapped to the currently saved frequency dispersion reference range. Specifically, the unified adjustment amount is superimposed on the current output frequency base value of each uninterruptible power supply (UPS) to form the target frequency value after theoretical synchronization adjustment. Then, this target frequency value is compared with the upper and lower limits of the frequency difference defined by the frequency dispersion reference range to determine the frequency fluctuation range that is allowed to exist while keeping the micro-difference operating range from being compressed. Based on this, the unified adjustment amount is segmented according to the proportion of the original frequency difference of each UPS within the frequency dispersion reference range, so that each UPS receives an adjustment share that matches its original frequency difference. This converts the unified adjustment amount into multiple dispersion adjustment amounts, and the dispersion adjustment amounts maintain a difference relationship consistent with the frequency dispersion reference range.

[0026] After converting the unified adjustment amount to the distributed adjustment amount, the real-time value of the current phase offset of each uninterruptible power supply (UPS) is read, and the phase offset is correlated with the aforementioned distributed adjustment amount. Specifically, a phase distribution sequence is constructed according to the phase position of the phase offset at the current time scale, and the distributed adjustment amounts are sorted and arranged according to the phase distribution sequence. UPS with a leading phase corresponds to a smaller distributed adjustment amount, and UPS with a lagging phase corresponds to a larger distributed adjustment amount. This forms an adjustment structure that matches the current phase offset while maintaining the frequency dispersion reference range. Through the above correlation processing, a correspondence is established between the distributed adjustment amount and the phase offset in the time dimension, providing a sequential basis for subsequent staggered push.

[0027] After obtaining the distributed adjustment amount corresponding to the phase offset, the distributed adjustment amount is divided into time slices according to the phase distribution sequence, and multiple distributed adjustment amounts are allocated to different time slices for sequential push. In specific implementation, a complete adjustment cycle is divided into several consecutive time slices, and distributed adjustment amounts are pushed to the corresponding uninterruptible power supplies in different time slices according to the arrangement order of the phase offsets, so that each uninterruptible power supply receives and executes the corresponding output frequency fine-tuning command at different time points. In each time slice, the distributed adjustment amount is loaded only for the uninterruptible power supply in the corresponding order, while the other uninterruptible power supplies maintain their original output frequency unchanged. After the current time slice ends, the next time slice is entered to load the distributed adjustment amount for the next order of uninterruptible power supplies. Through the above staggered push method, the unified adjustment amount is expanded into multiple distributed adjustment actions executed at multiple time points on the time axis, maintaining the distributed operation state corresponding to the original micro-difference operation range from the perspective of operation rhythm.

[0028] After all distributed adjustment values ​​are pushed out in time slice order, the output frequency change curves of each uninterruptible power supply (UPS) are continuously recorded. The updated output frequency change curves are then compared with the existing frequency dispersion reference range to confirm that the frequency difference between each UPS is still within the range defined by the frequency dispersion reference range. At the same time, the distribution of phase offset after the distributed adjustment is observed to ensure that the phase distribution sequence does not exhibit a concentrated arrangement. When new output frequency fine-tuning parameters are subsequently issued, the above-mentioned differentiated splitting and staggered pushing process is repeated based on the currently updated frequency dispersion reference range and phase offset. This ensures that the unified adjustment value is converted into a distributed adjustment value in each round of execution and is segmented on the time axis. This maintains the distributed operating state corresponding to the small difference operating range throughout multiple adjustment cycles, preventing the operating rhythms of multiple UPS from being concentrated.

[0029] Through the above continuous processing, the output frequency fine-tuning parameters sent from the cloud are converted from a uniform adjustment amount to a distributed adjustment amount. Combined with the current phase offset of each uninterruptible power supply, the parameters are pushed out in a staggered manner. This ensures that the frequency distributed reference range remains stable and continuous during the adjustment process, guarantees that the micro-difference operating range in parallel operation is not compressed, and maintains the continuous existence of the distributed operating state in the time dimension.

[0030] Step 3: Perform progressive output frequency transition control under the distributed adjustment amount. In each transition cycle, the bus current fluctuation trajectory is collected synchronously. The distributed adjustment amount and the bus current fluctuation amplitude are linked and constrained. The distributed adjustment amount is limited and adjusted according to the bus current fluctuation trend.

[0031] The specific implementation method for step three is as follows: After each uninterruptible power supply receives the corresponding distributed adjustment amount, instead of directly loading the distributed adjustment amount to the current output frequency base value all at once, the distributed adjustment amount is divided into multiple continuous transition sub-segments and superimposed segment by segment according to a preset transition period to form a gradual output frequency transition control process. In each transition period, only a portion of the distributed adjustment amount is loaded, so that the output frequency change curve presents a continuous and smooth change trajectory on the time axis. The duration of each transition period remains consistent, forming several adjacent transition period sequences within the entire gradual output frequency transition control stage. While executing each transition period, the continuous acquisition of the bus current fluctuation trajectory is started simultaneously, so that the output frequency change curve in each transition period and the bus current fluctuation trajectory in the corresponding time period maintain a completely consistent time scale correspondence, thereby providing a real-time data basis for subsequent linkage constraints.

[0032] While loading the distributed adjustment amount within each transition cycle, the amplitude of the bus current fluctuation trajectory corresponding to that transition cycle is expanded to extract the peak range and variation segment of the bus current fluctuation within that transition cycle. The amplitude of the bus current fluctuation is then compared with the remaining distributed adjustment amount that has not yet been loaded. When the bus current fluctuation amplitude remains within the existing operating range in the current transition cycle, the distributed adjustment amount continues to be loaded at the original pace in the next transition cycle. When the bus current fluctuation amplitude shows a continuous upward segment in the current transition cycle, the distributed adjustment amount to be loaded in the next transition cycle is proportionally reduced, decreasing the loading share in a single transition cycle, and the remaining distributed adjustment amount is extended to subsequent transition cycles for batch loading. By maintaining a synchronous correspondence between the bus current fluctuation trajectory and the distributed adjustment amount in each transition cycle, a real-time linkage constraint relationship is formed between the loading pace of the distributed adjustment amount and the bus current fluctuation amplitude.

[0033] During the execution of multiple consecutive transition cycles, the bus current fluctuation trajectory is trend-organized along the time axis. The direction of bus current amplitude change within adjacent transition cycles is compared to form a bus current fluctuation trend sequence. When the bus current fluctuation trend sequence shows a continuous upward trend, the unloaded distributed adjustment amount is further restricted. In subsequent transition cycles, the loading amplitude is reduced, and the total duration of the transition cycle is extended, so that the gradual output frequency transition control is completed within a longer time range. When the bus current fluctuation trend sequence shows a stable section, the original loading rhythm is maintained, and the distributed adjustment amount continues to be loaded according to the predetermined ratio. By continuously organizing the bus current fluctuation trend over time, the loading progress of the distributed adjustment amount is bidirectionally bound to the bus current fluctuation trend, so that the gradual output frequency transition control is always affected by the bus current fluctuation trend throughout the process, avoiding concentrated loading of the distributed adjustment amount during the upward phase of the bus current fluctuation.

[0034] After all distributed adjustment quantities have been gradually loaded, the output frequency change curve and bus current fluctuation trajectory formed during the entire gradual output frequency transition control phase are integrated in time sequence to confirm that the loading ratio of distributed adjustment quantities and the bus current fluctuation amplitude remain linked and constrained in each transition cycle. When the next round of distributed adjustment quantities is executed, the transition cycle division method and bus current fluctuation trend sorting method formed in this round are used again to divide the distributed adjustment quantities into several transition sub-segments. The bus current fluctuation trajectory is synchronously collected in each transition cycle. The loading rhythm of the distributed adjustment quantities is continuously controlled through linkage constraint and limit adjustment, so that the gradual output frequency transition control maintains a consistent adjustment logic in multiple operating cycles. Through the above-mentioned continuous transition, synchronous acquisition, linkage constraint and trend limit adjustment process, the gradual output frequency transition control is completed under the distributed adjustment quantities. In each transition cycle, the distributed adjustment quantities are limited and adjusted in combination with the bus current fluctuation trajectory to suppress concentrated changes in the bus current fluctuation amplitude from the perspective of operating rhythm.

[0035] Step four: Based on the linkage constraint, for the current rising inflection point in the bus current fluctuation trajectory, the decentralized adjustment amount is dynamically compressed, the adjustment step size is reduced and the transition time window is extended, so as to maintain the decentralized operation state corresponding to the frequency dispersion reference range.

[0036] The specific implementation method for step four is as follows: During each transition cycle, the bus current fluctuation trajectory is continuously collected, and the bus current amplitude within consecutive time periods is sequentially arranged along a unified time scale. The direction of change of bus current amplitude at adjacent time scales is compared segment by segment. When the bus current amplitude maintains an increasing relationship within multiple consecutive time scales, and the rate of increase changes from slow to fast within adjacent time segments, the time position is determined as the segment where the current inflection point is located. After identifying the segment where the current inflection point is located, the transition cycle number corresponding to the segment is associated with the currently unloaded distributed adjustment amount, so that the current inflection point and the distributed adjustment amount to be executed are under the same time identification framework, providing a time positioning basis for subsequent dynamic compression processing.

[0037] After the segment where the current inflection point is located is identified, the planned distributed adjustment amount in the current transition cycle is segmented and decomposed. The original load share in a single transition cycle is further divided into multiple smaller load units, and each load unit is extended to multiple subsequent transition cycles in chronological order. In specific implementation, the remaining unloaded distributed adjustment amount in the current transition cycle is divided into several small adjustment shares at equal intervals. Each small adjustment share is allocated to multiple consecutive transition cycles, extending the adjustment process that was originally completed in a short time to a longer time range. Through the above decomposition process, the distributed adjustment amount is dynamically compressed, resulting in a smaller adjustment step size, so that the output frequency change curve maintains a smoother change trajectory when the current inflection point appears.

[0038] After decomposing and extending the distributed adjustment amount, the transition time window is reconstructed simultaneously, expanding the number of transition cycles of the original fixed length so that the entire gradual output frequency transition control stage covers a longer time window. Within the extended transition time window, the distributed adjustment amount applied in each transition cycle maintains a continuous correspondence with the bus current fluctuation trajectory after the current rise inflection point, and the direction of bus current amplitude change is continuously observed. When the bus current fluctuation trajectory changes from an increasing state to a flat section, the normal loading rhythm of the distributed adjustment amount is gradually restored. When the bus current fluctuation trajectory is still in the increasing section, the transition time window is further extended, and the reduced adjustment step size is maintained unchanged, so that the output frequency transition process is synchronized and coordinated with the bus current fluctuation trajectory in the time dimension.

[0039] After the dynamic compression processing stage corresponding to the current rise inflection point is completed, the output frequency change curve formed during the entire compression process is continuously sorted out. The updated output frequency change curve is compared with the existing frequency dispersion reference range to confirm that the frequency difference between each uninterruptible power supply is still within the floating range defined by the frequency dispersion reference range, and the original micro-difference operating range has not converged. When a new current rise inflection point appears again, the above-mentioned positioning, power disassembly, time window expansion and rhythm restoration process is repeated so that the dispersion adjustment amount is released slowly through dynamic compression processing at any current rise inflection point stage, and the dispersion operation state corresponding to the frequency dispersion reference range is continuously maintained from the perspective of operating rhythm.

[0040] Through the above processing method, dynamic compression processing is implemented on the current rising inflection point in the bus current fluctuation trajectory based on the linkage constraint. This allows the loading rhythm of the distributed adjustment amount to be extended and the step size to be reduced in real time according to the changes in the bus current fluctuation trajectory. While extending the transition time window, the distributed operation state corresponding to the original micro-difference operation range is maintained. This suppresses the superimposed impact of concentrated loading on bus current fluctuation from both time and amplitude dimensions.

[0041] Step 5: After the dynamic compression processing enters the stable stage, a periodic frequency offset rotation mechanism is constructed based on the frequency dispersion reference range. In different time slices, a small frequency offset with different directions is applied to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

[0042] The specific implementation method for step five is as follows: After the dynamic compression processing enters a stable phase, the output frequency change curve and frequency dispersion reference range under the current operating state are read. The actual frequency difference range between each uninterruptible power supply (UPS) is organized, and the current frequency difference is compared with the upper and lower limits in the frequency dispersion reference range to determine the specific position of each UPS within the micro-difference operating range. Subsequently, based on the complete operating cycle, the operating cycle is divided into several continuous time slices, each time slice corresponding to a fixed-length time segment. The same start and end boundaries of the time slices are set for all UPSs under a unified time scale. Through the above time slice division, the subsequent micro-frequency offset execution process is limited to a clear time segment, providing a time framework for the implementation of the periodic frequency offset rotation mechanism.

[0043] After the time slices are divided, based on the positional relationship of the original differential operating intervals of each uninterruptible power supply (UPS) within the frequency dispersion reference range, a micro-amplitude frequency offset scheme in different directions is assigned to each time slice. In specific implementation, the frequency dispersion reference range is divided into several continuous frequency sub-segments, and the micro-amplitude frequency offset is divided into two directions, positive offset and negative offset, according to the current frequency difference position of each UPS. In the first time slice, a micro-amplitude negative offset is applied to the UPS in the upper half of the frequency dispersion reference range, and a micro-amplitude positive offset is applied to the UPS in the lower half. In the next time slice, the UPS that applied a positive offset in the previous time slice is replaced with a micro-amplitude negative offset, and the UPS that applied a negative offset in the previous time slice is replaced with a micro-amplitude positive offset. By alternately applying micro-amplitude frequency offsets in different directions in different time slices, the output frequency of each UPS exhibits a periodic alternation within the frequency dispersion reference range.

[0044] During the execution of the periodic frequency offset rotation mechanism, the output frequency change curve within each time slice is continuously recorded and its correspondence with the bus current fluctuation trajectory is maintained on a unified time scale. At the end of each time slice, the actual frequency difference of each uninterruptible power supply within that time slice is compared with the frequency dispersion reference range to ensure that the micro-frequency offset is always limited within the upper and lower boundaries of the frequency dispersion reference range. At the beginning of a new time slice, the direction of the micro-frequency offset in this time slice is adjusted according to the direction of the frequency difference change in the previous time slice, so that the periodic frequency offset rotation mechanism maintains an alternating rhythm in multiple consecutive time slices. Through the above processing, the output frequency change curve forms a regular fluctuation trajectory in the time dimension, avoiding the output frequency of multiple uninterruptible power supplies from remaining close to the value for a long time, and maintaining a dispersed operation pattern of micro-difference operating range from the perspective of operating rhythm.

[0045] A periodic frequency offset rotation mechanism is continuously executed over multiple complete operating cycles. The output frequency change curves formed in different time slices are organized as a whole and stored in correspondence with the initially established frequency dispersion reference range. This ensures that the frequency dispersion reference range is dynamically updated under the action of periodic micro-frequency offsets. When the new frequency dispersion reference range undergoes minor adjustments due to the extension of operating time, the direction and amplitude of the micro-frequency offset are adjusted synchronously during subsequent time slice divisions. This ensures that the periodic frequency offset rotation mechanism always revolves around the updated frequency dispersion reference range. By continuously applying micro-frequency offsets in different directions in different time slices, the output frequencies of each uninterruptible power supply exhibit an alternating distribution state within the micro-difference operating range. This maintains the dispersion operating pattern corresponding to the micro-difference operating range during long-term operation, reducing the superposition risk caused by the concentration of output frequencies.

[0046] like Figure 2 As shown, the present invention also provides a UPS power control system based on cloud data correction, including a frequency dispersion construction module, a parameter splitting and pushing module, a transition linkage control module, an inflection point compression adjustment module, and a rotation offset maintenance module. The frequency dispersion construction module collects the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. It performs timing alignment comparison under a unified time scale, extracts the original micro-difference operating range between each UPS, and constructs a frequency dispersion reference range. The parameter splitting and push module, based on the frequency dispersion reference range, differentiates the output frequency fine-tuning parameters sent from the cloud, converts the uniform adjustment amount into a dispersion adjustment amount, and pushes them in a staggered manner in combination with the current phase offset of each uninterruptible power supply. The transition linkage control module performs progressive output frequency transition control under the decentralized adjustment amount, and synchronously collects the bus current fluctuation trajectory in each transition cycle, and links the decentralized adjustment amount with the bus current fluctuation amplitude for constraint. The inflection point compression adjustment module, based on the linkage constraint, dynamically compresses the dispersed adjustment amount for the current rise inflection point in the bus current fluctuation trajectory, reducing the adjustment step and extending the transition time window. After the dynamic compression processing enters a stable phase, the rotation offset maintenance module constructs a periodic frequency offset rotation mechanism based on the frequency dispersion reference range. In different time slices, it applies small-amplitude frequency offsets in different directions to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

[0047] The UPS power control method based on cloud data correction provided in this embodiment of the invention is implemented through the UPS power control system based on cloud data correction described above. For details of the specific methods and processes of the UPS power control system based on cloud data correction, please refer to the embodiments of the UPS power control method based on cloud data correction described above, which will not be repeated here.

[0048] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A UPS power supply control method based on cloud data correction, characterized in that: Includes the following steps: Step 1: Collect the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. Perform timing alignment comparison under a unified time scale, extract the original micro-difference operating range between each UPS, and construct a frequency dispersion reference range. Step 2: Based on the frequency dispersion reference range, the output frequency fine-tuning parameters sent from the cloud are differentiated and split, the uniform adjustment amount is converted into a dispersion adjustment amount, and the parameters are pushed out in a staggered manner in combination with the current phase offset of each uninterruptible power supply. Step 3: Perform progressive output frequency transition control under the decentralized adjustment amount, and synchronously collect the bus current fluctuation trajectory in each transition cycle, and link the decentralized adjustment amount with the bus current fluctuation amplitude for constraint. Step 4: Based on the linkage constraint, for the current rising inflection point in the bus current fluctuation trajectory, the dispersed adjustment amount is dynamically compressed to reduce the adjustment step size and extend the transition time window. Step 5: After the dynamic compression processing enters the stable stage, a periodic frequency offset rotation mechanism is constructed based on the frequency dispersion reference range. In different time slices, a small frequency offset with different directions is applied to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

2. The UPS power control method based on cloud data correction according to claim 1, characterized in that: Constructing a frequency dispersion reference range includes the following steps: The output frequency variation curves of multiple uninterruptible power supplies in parallel operation are sampled point by point at fixed time intervals, and the phase offset and bus current fluctuation trajectory at the corresponding time scale are recorded simultaneously to form a three-dimensional correspondence including output frequency variation curve data points, phase offset data points and bus current amplitude data points. Within a unified time scale framework, the three-element correspondence relationship is arranged horizontally on a time scale, the frequency difference between multiple uninterruptible power supplies is calculated, and the frequency difference is time-synchronized with the bus current fluctuation trajectory to form a frequency difference change trajectory within a continuous time period. The frequency difference range is selected from the frequency difference change trajectory, and the frequency difference range that recurs in the stable fluctuation section is statistically collected to form the frequency difference floating zone. By integrating the frequency difference floating zones in chronological order, the upper and lower limits of the allowable frequency difference between multiple uninterruptible power supplies are determined, forming a frequency dispersion reference range.

3. The UPS power control method based on cloud data correction according to claim 2, characterized in that: The frequency difference floating zone is obtained by sorting the frequency difference in the stable fluctuation range in time sequence and excluding the frequency difference data corresponding to the sudden rise or fall of the bus current fluctuation trajectory. The resulting frequency dispersion reference range is corrected in the parallel operation by combining the continuously collected output frequency change curve, phase offset and bus current fluctuation trajectory.

4. The UPS power control method based on cloud data correction according to claim 2, characterized in that: In step two, the specific steps for differentiated segmentation and staggered push notifications are as follows: The output frequency fine-tuning parameters sent from the cloud are used as a unified adjustment amount and frequency dispersion reference range for interval mapping. The unified adjustment amount is superimposed on the current output frequency base value of each uninterruptible power supply to form the target frequency value. Based on the upper and lower limits of the frequency difference limited by the frequency dispersion reference range, the unified adjustment amount is divided into multiple dispersion adjustment amounts according to the original frequency difference ratio. Read the current phase offset of each uninterruptible power supply, associate the distributed adjustment amount with the phase offset, construct a phase distribution sequence according to the phase position order, and sort the distributed adjustment amount according to the phase distribution sequence; The dispersed adjustment amount is divided into time slots according to the phase distribution sequence. Multiple dispersed adjustment amounts are allocated to different time slots and pushed sequentially. In each time slot, the dispersed adjustment amount is only applied to the corresponding uninterruptible power supply. During the process of pushing the distributed adjustment amount, the output frequency change curve is continuously recorded, and the output frequency change curve is compared with the frequency dispersion reference range to keep the frequency difference between each uninterruptible power supply within the frequency dispersion reference range limit.

5. The UPS power control method based on cloud data correction according to claim 4, characterized in that: The distributed adjustment amount is applied sequentially within the time slice according to the phase distribution sequence, and during the loading process, the output frequency change curve is continuously adjusted according to the frequency difference range defined by the frequency dispersion reference range.

6. The UPS power control method based on cloud data correction according to claim 4, characterized in that: The progressive output frequency transition control includes the following steps: The dispersed adjustment amount is divided into multiple transition sub-segments, and the load is superimposed segment by segment according to the preset transition cycle to form a continuous transition cycle sequence. At the same time, the bus current fluctuation trajectory is collected synchronously within each transition cycle. Within the transition period sequence, the amplitude change segment of the bus current fluctuation trajectory is associated with the unloaded decentralized adjustment amount. The loading share of the decentralized adjustment amount is proportionally reduced according to the change of the bus current fluctuation amplitude, and the remaining decentralized adjustment amount is extended to be loaded in batches in subsequent transition periods. During the continuous transition cycle, the bus current fluctuation trajectory is trend-organized along the time axis to form a bus current fluctuation trend sequence, and the loading amplitude of the decentralized adjustment amount and the total duration of the transition cycle are restricted and adjusted based on the bus current fluctuation trend sequence. During the gradual loading of all distributed adjustment values, the output frequency change curve and the bus current fluctuation trajectory are integrated in time sequence. When a new distributed adjustment value is executed, the transition period sequence and the bus current fluctuation trend sequence are used for limiting adjustment.

7. The UPS power control method based on cloud data correction according to claim 6, characterized in that: During the period when the bus current fluctuation trend sequence shows a continuous upward trend, the loading amplitude of the decentralized adjustment amount is continuously limited, and the total duration of the transition period is extended simultaneously until the bus current fluctuation trend sequence returns to a stable range, and then the predetermined loading rhythm of the decentralized adjustment amount is restored.

8. The UPS power control method based on cloud data correction according to claim 6, characterized in that: Dynamic compression processing includes the following steps: During the transition period, the bus current fluctuation trajectory is continuously collected, and the bus current amplitude is sequentially arranged along a unified time scale. The current rise inflection point is identified by the direction of amplitude change between adjacent time scales, and the current rise inflection point is associated with the dispersed adjustment amount that has not yet been loaded. Based on the segment where the current rise inflection point is located, the dispersed adjustment amount is broken down into segments, the loading share in the original transition period is divided into multiple loading units, and the multiple loading units are allocated to be executed in the continuous transition period. The loading process of the distributed adjustment amount is extended over multiple transition cycles, and the transition time window is expanded simultaneously, so that the distributed adjustment amount is loaded in batches within the expanded transition time window. Within the extended transition time window, the output frequency change curve is compared with the frequency dispersion reference range. When a new current rise inflection point appears, the segmentation and transition time window extension process is repeated.

9. The UPS power control method based on cloud data correction according to claim 8, characterized in that: Constructing a periodic frequency offset rotation mechanism includes the following steps: Read the output frequency change curve and frequency dispersion reference range, sort out the actual frequency difference range between each uninterruptible power supply, and divide the complete operating cycle into several continuous time slices according to a unified time scale. Based on the corresponding positional relationship between the frequency dispersion reference range and the actual frequency difference interval, small frequency offsets with different directions are assigned to each time slice, and they are alternately configured according to the distribution of the frequency difference interval in the frequency dispersion reference range. Perform a small frequency offset within the time slice and record the output frequency change curve. At the same time, compare the actual frequency difference range with the frequency dispersion reference range. In the next time slice, adjust the direction of the small frequency offset according to the direction of the frequency difference change in the previous time slice. The system continuously executes alternating configurations of time slice division and micro-frequency offset within multiple operating cycles, and synchronously adjusts the direction and amplitude of micro-frequency offset according to the updated frequency dispersion reference range to maintain the dispersion operation pattern corresponding to the micro-difference operating range.

10. A UPS power control system based on cloud data correction, used to implement the UPS power control method based on cloud data correction as described in any one of claims 1-9, characterized in that: It includes a frequency dispersion construction module, a parameter splitting and pushing module, a transition linkage control module, an inflection point compression adjustment module, and a rotation offset maintenance module; The frequency dispersion construction module collects the output frequency change curves, phase offsets, and bus current fluctuation trajectories of multiple uninterruptible power supplies (UPS) in parallel operation. It performs timing alignment comparison under a unified time scale, extracts the original micro-difference operating range between each UPS, and constructs a frequency dispersion reference range. The parameter splitting and push module, based on the frequency dispersion reference range, differentiates the output frequency fine-tuning parameters sent from the cloud, converts the uniform adjustment amount into a dispersion adjustment amount, and pushes them in a staggered manner in combination with the current phase offset of each uninterruptible power supply. The transition linkage control module performs progressive output frequency transition control under the decentralized adjustment amount, and synchronously collects the bus current fluctuation trajectory in each transition cycle, and links the decentralized adjustment amount with the bus current fluctuation amplitude for constraint. The inflection point compression adjustment module, based on the linkage constraint, dynamically compresses the dispersed adjustment amount for the current rise inflection point in the bus current fluctuation trajectory, reducing the adjustment step and extending the transition time window. After the dynamic compression processing enters a stable phase, the rotation offset maintenance module constructs a periodic frequency offset rotation mechanism based on the frequency dispersion reference range. In different time slices, it applies small-amplitude frequency offsets in different directions to each uninterruptible power supply to continuously maintain the dispersion operation pattern corresponding to the micro-difference operation range.

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