Fast response voltage stabilizer intelligent compensation system for voltage sag

Abstract

The application belongs to the technical field of power distribution and voltage stabilizing control, and particularly relates to an intelligent compensation system of a voltage stabilizer for voltage sag. The system is applied to a power distribution network. When voltage sag is detected, a compensation execution module executes compensation action on the load side voltage, and micro-vibration signals are collected from the internal structure of the voltage stabilizer related to the compensation action during the compensation action execution stage. Through correlation analysis of the micro-vibration collection results and the compensation action parameters, correlation characteristic parameters representing the corresponding relationship between the two are extracted, and the correlation characteristic parameters are updated and stored in multiple compensation processes. Based on the correlation characteristic parameters and the corresponding sag characteristic parameters of the voltage sag, a compensation action strategy is generated, the compensation action parameters are corrected, and compensation correction action is executed, so as to realize continuous description of the compensation action execution process.

Description

Technical Field

[0001] This invention relates to the field of power distribution and voltage regulation control technology, and in particular to a fast-response intelligent compensation system for voltage sag regulators. Background Technology

[0002] During the operation of a power distribution network, the supply voltage may experience a short-term drop due to factors such as disturbances from the upstream power grid, sudden load changes, or variations in operating conditions; this is known as a voltage sag. Although voltage sags are short-lived, they can still cause fluctuations in the load-side operating status during the power supply process, affecting the continuity and stability of electrical equipment. Therefore, installing voltage stabilizers in the power distribution network and performing voltage compensation on the load side when voltage sags occur is a common technical approach in existing power distribution systems.

[0003] Existing voltage regulators typically perform voltage sag compensation by switching the compensation winding with thyristors or discharging the energy storage unit to regulate the load-side voltage. During this type of compensation, the execution of the compensation action not only involves changes in electrical parameters but also causes instantaneous changes in the stress state of the regulator's internal structure. For example, the switching process of the thyristors and the current changes in the compensation circuit can introduce minute mechanical vibrations into the regulator's compensation winding fixing structure, internal busbar structure, or cabinet mounting location.

[0004] Because the aforementioned mechanical vibrations have small amplitudes and short durations, and typically occur during the compensation action phase, existing technologies often treat them as incidental phenomena during voltage regulator operation, rather than analyzing them as independent technical issues in the voltage sag compensation process. Conventional voltage monitoring or power quality detection methods primarily focus on changes in electrical parameters such as voltage and current, lacking direct sensing and characterization methods for the minute vibrations generated by the voltage regulator during compensation action.

[0005] On the other hand, during the long-term operation of power distribution networks, voltage sag events often recur, and voltage regulators will perform compensation actions multiple times under different sag conditions. The execution methods of different compensation actions and their corresponding operating states may differ, but existing technologies lack a systematic analysis of the relationship between the compensation action execution process and the internal operating state of the voltage regulator, making it difficult to effectively accumulate and utilize the operating characteristics during the compensation action execution process.

[0006] Therefore, existing technologies in the field of voltage sag compensation mainly focus on the detection of voltage sags and the triggering of compensation actions. There is a lack of targeted technical solutions for acquiring and characterizing the internal operating state of the voltage regulator during the compensation action execution phase and addressing its correlation in multiple compensation processes. This, to some extent, limits the voltage regulator's ability to comprehensively perceive and describe the compensation action execution process in complex power distribution operating environments. Summary of the Invention

[0007] The purpose of this invention is to provide a fast-response intelligent compensation system for voltage sag regulators. This system has the advantage of being able to acquire and characterize the operating status of the voltage regulator during the compensation process when a voltage sag occurs in the power distribution network, and on this basis, form correlation information that can be used as a reference for subsequent compensation actions.

[0008] The above-mentioned technical objective of the present invention is achieved through the following technical solution: A fast-response intelligent compensation system for voltage sag regulators, applied in a power distribution network containing at least one voltage regulator, is used to perform compensation on the load-side voltage when a voltage sag occurs. The system includes: The voltage sag detection module is used to monitor the voltage in the power distribution network and output a voltage sag trigger signal when the detected voltage amplitude is lower than a preset threshold within a preset time window. The compensation execution module, located within the voltage regulator, is used to perform compensation actions upon receiving the voltage sag trigger signal by switching the compensation winding with a thyristor and / or by discharging the energy storage unit. The compensation action is configured with compensation action parameters; The compensation action micro-vibration sensing module is used to collect micro-vibration signals from the voltage regulator structural parts related to the compensation action within a preset time interval during which the compensation execution module performs the compensation action, and output the micro-vibration collection results. The correlation feature extraction module is used to perform time correlation analysis on the micro-vibration acquisition results and the compensation action parameters, and extract correlation feature parameters to characterize the correspondence between the compensation action parameters and the micro-vibration acquisition results; The intelligent compensation strategy generation module is used to match the strategy framework of the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal, and generate a compensation action strategy that matches the current voltage sag event based on the associated characteristic parameters within the strategy framework. The compensation action strategy is used to correct the compensation action parameters and form compensation correction parameters. The compensation execution module executes the compensation correction action according to the compensation correction parameters. The compensation strategy update module is used to update the associated feature parameters based on the micro-vibration acquisition results output by the micro-vibration sensing module after the compensation correction action is completed, and to store the updated associated feature parameters for use when generating subsequent compensation action strategies.

[0009] Further configuration: The compensation action micro-vibration sensing module includes a micro-vibration response organization unit, which is configured with a micro-vibration timing organization strategy. The micro-vibration timing organization strategy is used to divide the micro-vibration acquisition results into three stages: before the start of the compensation action, during the execution of the compensation action, and after the completion of the compensation action, according to the time process of the compensation execution module executing the compensation action. The micro-vibration acquisition results obtained in the three stages are then time-series organized to construct micro-vibration timing response data that characterizes the relationship between the voltage regulator structure response changes before and after the execution of the compensation action. The micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results by the associated feature extraction module.

[0010] By adopting the above technical solution, by introducing a micro-vibration response organization unit into the micro-vibration sensing module for compensation action and configuring a micro-vibration timing organization strategy, the micro-vibration signals collected during the execution of the compensation action are structured and organized according to the time process of the compensation action before output, thereby avoiding the problem of limited information utilization caused by the micro-vibration acquisition results existing only in discrete signal form.

[0011] By dividing a compensation action into three stages—before the start of the compensation action, during the execution, and after the completion of the compensation action—and organizing the micro-vibration acquisition results obtained in each stage in a time sequence, the structural response change relationship before and after the compensation action can be completely recorded, thus providing a continuous data foundation for analyzing the structural response evolution during the compensation action.

[0012] By constructing micro-vibration time-series response data to characterize the relationship between the changes in the voltage regulator's structural response before and after the compensation action, the micro-vibration information is transformed from a state description at a single moment into a data form with time evolution characteristics. This is beneficial for accurately identifying the correspondence between changes in compensation action parameters and changes in structural response during subsequent feature extraction.

[0013] Furthermore, the micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the associated feature extraction, enabling the associated feature parameters to simultaneously reflect the relationship between the compensation action parameters and the structural response changes during the compensation action execution process, thereby improving the completeness of the associated feature parameters in representing the performance characteristics of the compensation action.

[0014] Further configuration: The association feature extraction module includes an association feature determination unit, which is configured with an association feature determination strategy. The correlation feature determination strategy is used to analyze the correspondence between the micro-vibration changes reflected by the micro-vibration time-series response data and the changes in the compensation action parameters during the execution of the compensation action, based on the micro-vibration time-series response data and the corresponding compensation action parameters, and to generate correlation feature parameters. The associated feature parameters reflect at least one of the following: The correspondence between changes in micro-vibration amplitude and changes in compensation action parameters; The temporal overlap between the frequency domain characteristics of micro-vibration and the compensation action parameters; Micro-vibration differences under different combinations of compensation action parameters; The associated feature parameters, used to characterize the correspondence between the compensation action parameters and the structural response changes during the compensation action execution process reflected by the micro-vibration acquisition results, serve as one of the input parameters for the intelligent compensation strategy generation module to generate the compensation action strategy.

[0015] By adopting the above technical solution, introducing a correlation feature determination unit, and configuring a correlation feature determination strategy, the correspondence between micro-vibration time-series response data and compensation action parameters can be analyzed under clear feature formation rules, thereby avoiding the problem that correlation feature parameters exist only as general correlation results.

[0016] By limiting the associated feature parameters to reflect at least one of the following: micro-vibration amplitude variation, micro-vibration frequency domain characteristics, and micro-vibration difference characteristics under different combinations of compensation action parameters, the associated feature parameters can characterize the relationship between structural response changes and compensation action parameters during the execution of compensation actions from multiple dimensions, thereby improving the completeness of the associated feature parameters in characterizing the execution characteristics of compensation actions.

[0017] Since the associated feature parameters are explicitly used as parameters in the process of generating compensation action strategies by the intelligent compensation strategy generation module, the generation process of compensation action strategies can be based on the structural response characteristics during the execution of compensation actions, rather than relying solely on the electrical parameter characteristics of voltage sags. This provides a more sufficient parameter basis for the subsequent correction of compensation action parameters.

[0018] By limiting the associated feature parameters to parameter form rather than risk conclusions or evaluation results, they can participate in the generation of compensation action strategies without introducing direct judgment on the execution effect of compensation actions, thus ensuring the continuity and scalability of the compensation strategy generation process at the parameter level.

[0019] Further configuration: The intelligent compensation strategy generation module includes a compensation action parameter correction unit, which is configured with a compensation action parameter correction strategy. The compensation action parameter correction strategy is used to correct the compensation action parameters and generate compensation correction parameters based on the associated feature parameters, based on the strategy framework matching of the compensation action strategy completed by the intelligent compensation strategy generation module based on the voltage sag trigger signal corresponding to the sag feature parameters. The compensation correction parameters are generated in at least one of the following ways: The compensation action parameters are weighted and adjusted based on the associated feature parameters. The compensation action parameters are offset and corrected based on the associated feature parameters; The compensation action parameters are modified at the level of amplitude, timing, or parameter combination.

[0020] By adopting the above technical solution, by setting up a compensation action parameter correction unit and configuring a compensation action parameter correction strategy, the correction process of the compensation action parameters can be executed independently within the framework of the established compensation action strategy, thereby avoiding the problem that the compensation action parameters are merely an auxiliary result of the strategy generation and lack a clear basis for correction.

[0021] By limiting the generation of compensation correction parameters to include at least weight adjustment, offset correction, and corrections at the amplitude, timing, or parameter combination levels, the adjustment process of compensation action parameters has clear correction dimensions and correction types, thereby ensuring that the changes in compensation action parameters are controllable and interpretable.

[0022] Since the compensation action parameter correction strategy is based on the associated characteristic parameters to correct the compensation action parameters, the adjustment of the compensation action parameters can reflect the characteristic information of the voltage regulator structure response changes during the execution of the compensation action, rather than relying solely on the electrical parameter characteristics of voltage sag, thereby improving the matching degree between the compensation action parameters and the actual operating state.

[0023] Further configuration: The compensation strategy update module includes an associated feature update unit and a feature classification organization unit; The associated feature update unit is configured with an associated feature update strategy. The associated feature update strategy is used to perform an association analysis between the latest micro-vibration acquisition result output by the compensation action micro-vibration sensing module and the compensation action parameter corresponding to the current compensation action, and based on the association analysis result, to correct and update the associated feature parameter to form an updated associated feature parameter that reflects the structural response change during the execution of the current compensation action. The feature classification organization unit is configured with a feature classification organization strategy. The feature classification organization strategy is used to use the voltage sag trigger signal corresponding to the sag feature parameter as the classification index, and organize the updated associated feature parameters into the corresponding associated feature parameter set according to the value range or feature combination of the sag feature parameter in the preset feature parameter space. The set of associated feature parameters is used by the intelligent compensation strategy generation module to match and call the sag feature parameters corresponding to the current voltage sag trigger signal when a subsequent voltage sag event occurs, so as to participate in the generation of the compensation action strategy.

[0024] By adopting the above technical solution, and by setting up an associated feature update unit and configuring an associated feature update strategy, the system can correct and update the associated feature parameters based on the latest micro-vibration acquisition results after each compensation action is completed. This allows the associated feature parameters to reflect the latest changes in the voltage regulator's structural response during the compensation action, preventing the associated feature parameters from remaining unchanged for a long time and becoming disconnected from the actual operating state.

[0025] By setting up feature classification organization units and configuring feature classification organization strategies, and using sag feature parameters as classification indexes, the updated associated feature parameters are classified and organized according to the value range or feature combination of sag feature parameters. This enables the structural response associated feature information formed under different voltage sag conditions to be effectively distinguished and managed, thereby improving the adaptability of associated feature parameters in the subsequent compensation action strategy generation process.

[0026] Since the set of associated feature parameters can be matched and invoked according to the current sag feature parameters when a subsequent voltage sag event occurs, the compensation action strategy generation module can invoke the corresponding structural response associated feature information under different sag scenarios, thereby improving the matching degree between the compensation action strategy and the actual sag conditions and the regulator's operating state.

[0027] Further configuration: The intelligent compensation strategy generation module includes a strategy framework matching unit, which is configured with a strategy framework matching strategy based on the voltage sag type. The strategy framework matching strategy is used to match and select the strategy framework corresponding to the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal. The voltage sag characteristic parameters include at least one or a combination of parameters used to characterize the voltage sag amplitude variation characteristics, sag duration characteristics, or sag occurrence process variation characteristics; The strategy framework matching unit matches the current voltage sag event to the corresponding strategy framework among a plurality of preset compensation strategy frameworks based on the sag characteristic parameters, and generates a compensation action strategy for subsequent compensation action parameter correction under the constraints of the matched strategy framework.

[0028] By adopting the above technical solution, by setting up a strategy framework matching unit and configuring a strategy framework matching strategy based on the voltage sag type, the system can match and select the strategy framework used by the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal before generating the compensation action strategy. This allows for the differentiation and processing of different voltage sag events at the strategy level, avoiding the use of the same compensation strategy structure for sag events with different amplitude change characteristics, duration characteristics, or occurrence process forms under a single compensation logic.

[0029] Since the compensation action strategy is generated under the constraints of the matched strategy framework, the temporary reduction feature parameters no longer directly drive the correction of the compensation action parameters, but are used to limit the overall structure of the compensation strategy, so that the adjustment process of the compensation action parameters has a clear strategy boundary, thereby reducing the uncertainty in the compensation strategy generation process, reducing the strategy fluctuation caused by direct parameter correction, and helping to maintain the stability and consistency of the compensation action execution process.

[0030] By pre-setting multiple compensation strategy frameworks in the system and matching strategy frameworks for different voltage sag events based on sag characteristic parameters, the system can select a more suitable compensation strategy structure for different sag types without relying on a single compensation strategy to handle all sag situations, thereby improving the adaptability of the compensation strategy to complex and diverse voltage sag scenarios.

[0031] Further configuration: The intelligent compensation strategy generation module also includes a load characteristic adaptation unit. The load characteristic adaptation unit is configured with a strategy adaptation strategy based on load characteristics. The strategy adaptation strategy is used to adapt and adjust the compensation action strategy based on load characteristic parameters, provided that the strategy framework of the compensation action strategy has been determined. The load characteristic parameters include at least one or a combination of parameters used to characterize the load’s sensitivity to voltage sags, the load’s operational continuity requirements, or the load’s allowable voltage fluctuation range. The load characteristic adaptation unit sets the adjustment priority, adjustment order, or activation conditions of the compensation action parameters in the compensation action strategy according to the load characteristic parameters, so that the compensation action strategy matches the load characteristics under the constraints of the strategy framework.

[0032] By adopting the above technical solution, by setting up a load characteristic adaptation unit and configuring a load characteristic-based strategy adaptation strategy, the system can further introduce load characteristic parameters to adapt and adjust the compensation action strategy when the compensation strategy framework is already determined, so that the compensation strategy is more in line with the actual load operation requirements within the established strategy structure.

[0033] Since load characteristic parameters are used to set the adjustment priority, adjustment order, or activation conditions of compensation action parameters, rather than directly participating in the compensation amount calculation, the generation process of compensation action strategy can maintain the stability of the strategy framework while having the ability to make differentiated adjustments for different load characteristics. This helps to avoid using completely consistent compensation execution methods for different loads under the same compensation strategy structure.

[0034] By limiting load characteristic parameters to reference factors for adapting compensation action strategies under the constraints of the strategy framework, the adjustment process of compensation action parameters has a clear organizational sequence and execution logic, thereby reducing the strategy mismatch problem caused by load differences during the execution of compensation actions and improving the rationality and consistency of compensation action execution.

[0035] Without changing the selection result of the compensation strategy framework, by introducing a load characteristic adaptation mechanism, the system can flexibly adjust the compensation action strategy under different load operating conditions, thereby improving the applicability of the compensation strategy in multi-load scenarios.

[0036] Further configuration: The compensation action micro-vibration sensing module includes a multi-point micro-vibration collaborative sensing unit, which is configured with a multi-point collaborative sensing and timing organization strategy. The multi-point collaborative sensing and timing organization strategy is used to collect micro-vibration signals from multiple sets of micro-vibration acquisition objects located in different structural parts inside the voltage regulator within a preset time interval when the compensation execution module performs the compensation action. The micro-vibration acquisition results obtained from each measuring point are time-aligned and time-series organized to construct multi-point micro-vibration timing response data to characterize the micro-vibration response changes of different structural parts during the compensation action execution process. The multi-point micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results by the associated feature extraction module.

[0037] By adopting the above technical solution, by setting up a multi-point micro-vibration collaborative sensing unit and configuring a multi-point collaborative sensing and timing organization strategy, the system can collect micro-vibration responses of different structural parts inside the voltage regulator in parallel within the preset time interval of the compensation execution module's compensation action, and uniformly align and organize the micro-vibration acquisition results obtained from each measuring point in the time dimension, thereby forming multi-point micro-vibration timing response data with time consistency.

[0038] Since different structural parts may exhibit different micro-vibration response characteristics during the compensation action, by organizing the micro-vibration acquisition results from multiple measurement points in a time sequence, the system can obtain the vibration response change relationship of each structural part under the same compensation action time reference, thereby avoiding the problem of incomparability of micro-vibration data caused by differences in measurement points or time offsets, and improving the usability of micro-vibration acquisition results in subsequent correlation feature analysis.

[0039] Incorporating multi-point micro-vibration time-series response data as part of the micro-vibration acquisition results into the analysis of the associated feature extraction module allows the correspondence between compensation action parameters and micro-vibration response to simultaneously reflect the response of different structural parts, which is beneficial to enhancing the ability of associated feature parameters to characterize changes in the structural response of compensation action.

[0040] Further configuration: The system also includes a multi-voltage regulator parameter sharing unit. The multi-voltage regulator parameter sharing unit is configured with a multi-voltage regulator associated characteristic parameter sharing strategy. The multi-voltage regulator associated characteristic parameter sharing strategy is used to organize the associated characteristic parameters formed by different voltage regulators in a unified manner according to the sag characteristic parameters corresponding to each voltage regulator when there are multiple voltage regulators in the power distribution network, and to share the associated characteristic parameters among the multiple voltage regulators when the preset sharing conditions are met. The shared associated feature parameters serve as reference parameters for the intelligent compensation strategy generation module, and are used to participate in the generation of compensation action strategies under the corresponding temporary drop feature parameter conditions.

[0041] By adopting the above technical solution, by setting up a multi-voltage regulator parameter sharing unit and configuring a multi-voltage regulator associated characteristic parameter sharing strategy, multiple voltage regulators in the power distribution network can uniformly organize the associated characteristic parameters formed by different voltage regulators under the premise of operating independently, and share them across voltage regulators when the preset sharing conditions are met, thereby expanding the range of parameter sources that a single voltage regulator can use in the compensation strategy generation process.

[0042] Since the sharing of associated feature parameters is conditionally limited based on the sag feature parameters corresponding to each regulator, the shared parameters only participate in the generation of compensation action strategies under corresponding or similar sag scenarios. This avoids the problem of strategy mismatch caused by disordered parameter calls under different sag conditions, and helps to maintain the rationality of the compensation strategy generation process.

[0043] By limiting the parameter sharing mechanism of multiple voltage regulators to system-level parameter organization and invocation behavior, without directly intervening in the compensation action execution process, each voltage regulator can still maintain its independent compensation decision-making ability. At the same time, introducing cross-device parameter references in the strategy generation stage helps to improve the overall consistency and stability of the compensation strategy in scenarios where multiple voltage regulators coexist.

[0044] Without introducing a real-time collaborative control or synchronous execution mechanism for multiple voltage regulators, the system can reuse existing associated characteristic parameter experience in multi-voltage regulator power distribution networks through parameter-level sharing, thereby improving the portability and applicability of compensation strategies among different voltage regulators.

[0045] Further configuration: The system also includes a device-level parameter management unit, which is configured with a device-level parameter differential calling strategy. The device-level parameter differential calling strategy is used to distinguish and store the associated feature parameters formed by each voltage regulator according to the voltage regulator device identifier while the multi-voltage regulator parameter sharing unit shares the associated feature parameters, thereby forming a set of device-level associated feature parameters for the corresponding voltage regulator. When the device-level parameter management unit provides associated feature parameters to the intelligent compensation strategy generation module, it selects or combines shared associated feature parameters and the corresponding device-level associated feature parameter set based on the device identifier of the current voltage regulator, so that the compensation action strategy can adapt to the individual differences of the device while utilizing shared parameters.

[0046] By adopting the above technical solution, by setting up a device-level parameter management unit and configuring a device-level parameter differentiation calling strategy, the system can distinguish, store and manage associated characteristic parameters according to the device identifier of the voltage regulator, under the premise of sharing parameters among multiple voltage regulators, thereby preserving the individual characteristics of different voltage regulators at the parameter organization level.

[0047] When providing associated feature parameters to the intelligent compensation strategy generation module, the compensation action strategy can still reflect the current voltage regulator's device characteristics while utilizing system-level shared parameter experience, by selecting or combining shared feature parameters with the corresponding device-level associated feature parameter set, thus avoiding the coverage of individual device differences by shared parameters.

[0048] Since the device-level parameter differentiation is completed during the strategy generation phase rather than introducing new control logic during the compensation action execution phase, each regulator still maintains its independent compensation execution capability. This helps to improve the adaptability of the compensation strategy in scenarios with multiple regulators without increasing control complexity.

[0049] In summary, the present invention has the following beneficial effects: By focusing not only on compensation triggering and voltage regulation results when a voltage sag occurs, but also acquiring the operational status of the regulator during the compensation execution phase, this invention expands the compensation process from a simple electrical event processing to a complete description of the compensation process including operational information during the execution phase. Micro-vibration signals generated by internal structural components of the regulator during the compensation execution process are collected and output as micro-vibration acquisition results. This transforms the operational status of the compensation execution phase, which was previously difficult to perceive in existing technologies, into an acquireable information object, providing a foundation for further analysis of the compensation process.

[0050] Building upon this foundation, the present invention performs time correlation analysis between micro-vibration acquisition results and compensation action parameters, extracting correlation feature parameters to characterize the correspondence between the two. This allows the compensation action execution process to no longer rely solely on instantaneous voltage changes for description, but rather forms a parameterized representation that reflects the relationship between compensation action parameters and the operational state during the execution phase. In this way, the operational characteristics during the compensation action execution process can be expressed in a structured manner, enhancing the ability to describe the compensation action execution behavior.

[0051] Furthermore, by updating and storing the associated feature parameters after multiple compensation and correction actions are completed, the execution features of compensation actions formed under different voltage sag events can be continuously accumulated, thereby providing a historical reference basis for subsequent compensation actions. Compared with the existing technology that mainly processes compensation behavior based on a single sag event, this invention makes the compensation action execution process traceable and continuous, avoiding the direct discarding of compensation process information after the event ends.

[0052] Simultaneously, by invoking accumulated associated feature parameters to generate compensation action strategies in subsequent voltage sag events, and modifying the compensation action parameters accordingly, the execution process of the compensation action can form a sequential correlation at the parameter level, thereby achieving a continuous description of the compensation action execution behavior. This compensation behavior organization method based on execution process characteristics helps to ensure that the compensation action maintains a consistent execution logic expression under different sag conditions, improving the overall completeness of the compensation system's description of the compensation action execution process.

[0053] In summary, by introducing a mechanism for acquiring, associating, representing, and accumulating historical data on the operational status of the compensation action execution phase, this invention enables the voltage sag compensation process to go beyond voltage detection and compensation triggering. Instead, it allows for continuous description and utilization of the compensation action execution process, thereby addressing the problem of insufficient acquisition, representation, and accumulation of operational information during the compensation action execution phase in existing technologies. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the system architecture of an embodiment. Detailed Implementation

[0055] The present invention will be further described in detail below with reference to the accompanying drawings.

[0056] Example: In this embodiment, a fast-response intelligent compensation system for voltage sag regulators is provided, applied in a power distribution network containing at least one voltage regulator, for performing compensation actions on the load-side voltage when a voltage sag occurs. The system constructs an overall workflow around the detection of voltage sags, the execution of compensation actions, the sensing of micro-vibrations during the compensation process, and the generation and updating of compensation strategies, so as to realize the response and compensation for voltage sag events.

[0057] like Figure 1 As shown, the system includes a voltage sag detection module, which continuously monitors the voltage in the power distribution network. During actual operation, the voltage sag detection module performs time-series analysis on the acquired voltage signals. When the detected voltage amplitude falls below a preset threshold within a preset time window, it determines that a voltage sag event has occurred in the current power distribution network and outputs a corresponding voltage sag trigger signal. This voltage sag trigger signal serves as the triggering basis for subsequent compensation actions and strategy generation.

[0058] The system also includes a compensation execution module, which is located inside the voltage regulator and maintains a signal connection with the voltage sag detection module. Upon receiving a voltage sag trigger signal, the compensation execution module performs a compensation action according to the currently configured compensation action parameters, by switching the compensation winding with a thyristor and / or by discharging the energy storage unit, to compensate the load-side voltage. The compensation action parameters characterize the execution method and state of the compensation action and can be referenced and modified by subsequent modules during the compensation action execution process.

[0059] While the compensation execution module performs the compensation action, the system uses the compensation action micro-vibration sensing module to collect micro-vibration signals from the voltage regulator structural components related to the compensation action. The compensation action micro-vibration sensing module operates within a preset time interval corresponding to the compensation action, sensing the micro-vibrations generated by the voltage regulator structural response during the compensation action execution and outputting the corresponding micro-vibration acquisition results to reflect the structural response during the compensation action execution.

[0060] The system also includes a correlation feature extraction module, which maintains a data connection with the compensation action micro-vibration sensing module and the compensation execution module. This module performs time correlation analysis on the micro-vibration acquisition results and the compensation action parameters. Through this time correlation analysis, the correlation feature extraction module extracts correlation feature parameters that characterize the correspondence between the compensation action parameters and the micro-vibration acquisition results. These correlation feature parameters serve as one of the important input parameters for generating the subsequent compensation action strategy.

[0061] The system further includes an intelligent compensation strategy generation module. This module matches the strategy framework of the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal, and generates a compensation action strategy that matches the current voltage sag event within that framework, in conjunction with the associated characteristic parameters. The compensation action strategy is used to correct the compensation action parameters and form corresponding compensation correction parameters. The compensation execution module executes the compensation correction action according to the compensation correction parameters to complete the adjustment of the compensation action.

[0062] After the compensation correction action is completed, the system performs subsequent processing through the compensation strategy update module. Based on the micro-vibration acquisition results output by the micro-vibration sensing module, the compensation strategy update module updates the associated characteristic parameters and stores the updated parameters. These updated parameters are then used by the intelligent compensation strategy generation module to participate in the generation of new compensation action strategies when subsequent voltage sag events occur.

[0063] Through the above module configuration and workflow, without introducing additional control structures, the system forms a complete operation process around the detection, compensation execution, structural response perception, strategy generation and parameter update of voltage sag events, providing a foundation for the further development of subsequent functional modules.

[0064] In this embodiment, the compensation action micro-vibration sensing module includes a micro-vibration response organization unit, which is used to organize and process the micro-vibration signals collected during the compensation action in a time-series manner.

[0065] The micro-vibration response organization unit is configured with a micro-vibration timing organization strategy. This strategy uses the time process of the compensation execution module performing the compensation action as a reference to divide the micro-vibration acquisition results obtained by the micro-vibration sensing module into stages. In specific implementation, the micro-vibration timing organization strategy divides the micro-vibration acquisition results into three stages: before the compensation action begins, during the compensation action, and after the compensation action is completed, based on the trigger time, execution process, and completion time of the compensation action.

[0066] The compensation action pre-start stage corresponds to the time interval during which the compensation execution module has not yet executed the compensation action but has entered the compensation preparation state; the compensation action execution stage corresponds to the time interval during which the compensation execution module executes the compensation action according to the compensation action parameters; and the compensation action completion stage corresponds to the time interval after the compensation execution module completes the compensation action and exits the compensation execution state. The micro-vibration response organization unit performs time-series organization on the micro-vibration acquisition results obtained in the above three stages to maintain the continuity of the micro-vibration signal in the time dimension and the stage distinction.

[0067] By organizing the micro-vibration acquisition results at different stages in a time sequence, micro-vibration response organization units are constructed to obtain micro-vibration time-series response data, which characterizes the relationship between the structural response changes of the voltage regulator before and after the compensation action. The micro-vibration time-series response data reflects the structural response changes of the voltage regulator before, during, and after the compensation action.

[0068] In this embodiment, the micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in subsequent processing together with the original micro-vibration acquisition results. Specifically, the micro-vibration time-series response data is provided to the correlation feature extraction module to participate in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results, thereby providing basic data support for the generation of subsequent compensation action strategies.

[0069] In this embodiment, the correlation feature extraction module includes a correlation feature determination unit, which is used to perform correlation analysis on the micro-vibration time-series response data formed during the execution of the compensation action and the corresponding compensation action parameters, so as to generate correlation feature parameters that characterize the correspondence between the two.

[0070] The correlation feature determination unit is configured with a correlation feature determination strategy. Based on the correspondence between micro-vibration time-series response data and compensation action parameters in the time dimension, the correlation feature determination strategy analyzes the correspondence between the micro-vibration changes reflected by the micro-vibration time-series response data and the changes in compensation action parameters during the execution of the compensation action, and generates correlation feature parameters accordingly.

[0071] In one implementation, a correlation feature determination strategy is used to analyze the correspondence between changes in micro-vibration amplitude and changes in compensation action parameters during the execution of the compensation action. Let the instantaneous amplitude of the micro-vibration time-series response data within the time interval t during the execution of the compensation action be... The parameter value corresponding to the compensation action parameter is Then, amplitude correlation feature parameters can be constructed to characterize the correspondence between the changes of the two. For example, it can be obtained through the following formula: ; in: This represents the amplitude of the micro-vibration at time t in the micro-vibration time-series response data; This indicates the value of the compensation action parameter at time t; Indicates the start time of the compensation action; Indicates the length of the time interval corresponding to the execution of the compensation action; It is used to characterize the overall correspondence between changes in micro-vibration amplitude and changes in compensation action parameters over a time interval.

[0072] This associated characteristic parameter is used to reflect the influence of changes in compensation action parameters on the amplitude of micro-vibration of the voltage regulator structure.

[0073] In another implementation, a correlation feature determination strategy is used to analyze the temporal overlap between the frequency domain characteristics of micro-vibrations and the compensation action parameters. For micro-vibration time-series response data, the dominant frequency components can be extracted within the execution time interval of the compensation action, and then correlated with the key time points where changes in the compensation action parameters occur.

[0074] Let the set of time points in which the compensation action parameters change significantly be denoted as . The set of time points where the energy is concentrated corresponding to the dominant frequency component of the micro-vibration is: Then, time-overlapping correlation feature parameters can be constructed. For example, it can be represented as: ; in: This represents the set of time points at which the parameters of the compensation action change; This represents the set of time points where the characteristic energy of micro-vibrations in the frequency domain is concentrated. It is used to characterize the overlap between the frequency domain characteristics of micro-vibration and the compensation action parameters in the time dimension.

[0075] This associated characteristic parameter is used to reflect the temporal consistency between changes in the compensation action parameters and the frequency domain response of the micro-vibration.

[0076] In a further implementation, the correlation feature determination strategy is also used to analyze the micro-vibration difference characteristics under different combinations of compensation action parameters. Let the obtained micro-vibration time-series response data under different combinations of compensation action parameters be... Then, differential correlation characteristic parameters of micro-vibration can be constructed. For example, it can be obtained in the following way: ; in: This represents the micro-vibration time-series response data obtained under the i-th combination of compensation action parameters; N represents the number of combinations of compensation action parameters involved in the analysis; It is used to characterize the degree of difference in micro-vibration response under different combinations of compensation action parameters.

[0077] This associated characteristic parameter is used to reflect the impact of changes in the combination of compensation action parameters on the differences in the micro-vibration response of the voltage regulator structure.

[0078] In this embodiment, the associated feature parameters obtained through one or more of the above methods are used to characterize the correspondence between the compensation action parameters and the structural response changes during the compensation action execution process reflected by the micro-vibration acquisition results. The associated feature parameters, as one of the input parameters for the intelligent compensation strategy generation module to generate the compensation action strategy, participate in the generation process of the compensation action strategy together with the sag feature parameters corresponding to the voltage sag trigger signal.

[0079] In this embodiment, the intelligent compensation strategy generation module includes a compensation action parameter correction unit, which is used to refine and correct the compensation action parameters on the premise that the strategy framework of the compensation action strategy has been matched.

[0080] The compensation action parameter correction unit is configured with a compensation action parameter correction strategy. This strategy is used after the intelligent compensation strategy generation module completes the strategy framework matching for the compensation action strategy based on the voltage sag trigger signal's corresponding sag characteristic parameters. It then further corrects the compensation action parameters based on associated characteristic parameters and generates compensation correction parameters for the compensation execution module to execute the compensation correction action.

[0081] In one implementation, a compensation action parameter correction strategy is used to adjust the weights of the compensation action parameters based on associated feature parameters. Let the original values ​​of the compensation action parameters be... The corresponding associated feature parameters are Then the compensation correction parameter This can be obtained through weight mapping, for example: ; in: This indicates the original values ​​of the compensation action parameters; C represents the association feature parameters generated by the association feature extraction module; This represents a weighting factor determined based on the associated feature parameters, and its value varies with the associated feature parameters. This represents the compensation correction parameter after weight adjustment.

[0082] The above methods allow for the adjustment of the intensity of the compensation action parameters while maintaining the existing compensation action strategy framework.

[0083] In another implementation, a compensation action parameter correction strategy is used to offset the compensation action parameters based on associated feature parameters. Let the original value of the compensation action parameter be... Then the compensation correction parameter It can be represented as: ; in: This indicates the original values ​​of the compensation action parameters; Indicates the association of feature parameters The parameter offset obtained from the mapping; This represents the compensation correction parameter after offset correction.

[0084] This offset correction method is used to introduce a correction amount based on the original values ​​of the compensation action parameters, so as to reflect the corresponding impact of changes in the compensation action parameters on the micro-vibration response.

[0085] In a further implementation, the compensation action parameter correction strategy is also used to correct the compensation action parameters at the amplitude, timing, or parameter combination level. Let the compensation action parameters consist of amplitude parameters... Timing parameters And the parameter combination vector P is formed, which can be modified based on the associated feature parameters, for example: ; in: These represent the amplitude parameter, timing parameter, and parameter combination in the compensation action parameters, respectively. This represents the magnitude correction factor, time-series correction amount, and parameter combination correction amount determined based on the associated characteristic parameters; This indicates the corresponding compensation and correction parameters.

[0086] By using the above correction methods, the compensation action parameters can be specifically modified in different parameter dimensions to form compensation correction parameters that match the current compensation action strategy.

[0087] In this embodiment, the compensation correction parameters generated by the compensation action parameter correction unit are provided to the compensation execution module to guide the compensation execution module in performing compensation correction actions based on the original compensation actions. By correcting the compensation action parameters under the constraints of the strategy framework, parameter-level adaptation of the compensation action strategy under different voltage sag events and structural response conditions is achieved.

[0088] In this embodiment, the compensation strategy update module includes an associated feature update unit and a feature classification organization unit, which are used to update the associated feature parameters and organize them in an orderly manner according to the voltage sag feature after the compensation action is completed.

[0089] The associated feature update unit is configured with an associated feature update strategy. The associated feature update strategy is used to perform correlation analysis between the latest micro-vibration acquisition results output by the compensation action micro-vibration sensing module and the compensation action parameters corresponding to the current compensation action, and based on the correlation analysis results, to correct and update the existing associated feature parameters to form updated associated feature parameters that reflect the changes in structural response during the execution of the current compensation action.

[0090] In one implementation, let the associated feature parameters stored before the current compensation action is completed be... The instantaneous correlation characteristic parameters calculated from the latest micro-vibration acquisition results and the current compensation action parameters are as follows: Then the updated associated feature parameters It can be obtained through a weighted update method, for example: ; in: This indicates the associated feature parameters that were stored before the compensation action was executed; This represents the associated characteristic parameters calculated based on the latest micro-vibration acquisition results and the current compensation action parameters; λ∈[0,1] represents the update weight factor, which is used to balance the influence of historical correlation feature parameters and the correlation feature parameters corresponding to the current compensation action; This represents the updated associated feature parameters, used to reflect the structural response changes during the current compensation action.

[0091] In another implementation, to enhance the ability to characterize the impact of recent compensation actions, the correlation feature update strategy can also introduce a time decay factor to exponentially decay historical correlation feature parameters, for example: ; in: This represents the associated feature parameter corresponding to the i-th compensation action; This represents the time decay coefficient, used to control the decay rate of historical associated feature parameters over time. This represents the normalized time weighting coefficient; This represents the updated associated feature parameters obtained after integrating historical compensation action information.

[0092] The above-mentioned update method enables the associated characteristic parameters to be continuously modified as the compensation action is performed, reflecting the evolution trend of the voltage regulator's structural response characteristics.

[0093] The feature classification organization unit is configured with a feature classification organization strategy. The feature classification organization strategy is used to classify and organize the updated associated feature parameters using the sag feature parameters corresponding to the voltage sag trigger signal as the classification index.

[0094] In practical implementation, let the voltage sag trigger signal be represented by a vector S, where the vector includes at least parameters characterizing the sag amplitude, sag duration, or sag rate of change. The feature classification organization strategy maps the updated associated feature parameters based on the value range or feature combination of the sag feature parameters in a preset feature parameter space. For example: ; in: S represents the sag characteristic parameter corresponding to the current voltage sag trigger signal; This represents the m-th temporary descending feature interval or feature combination region in the preset feature parameter space; This represents the set of associated feature parameters corresponding to the temporary drop feature interval; This represents the updated associated feature parameters.

[0095] Through the above classification and organization method, the associated feature parameters formed under different descent feature conditions are organized into the corresponding associated feature parameter sets to maintain the consistency between the associated feature parameters and the descent scenario.

[0096] When a subsequent voltage sag event occurs, the intelligent compensation strategy generation module matches and calls upon the set of associated feature parameters based on the sag characteristic parameters corresponding to the current voltage sag trigger signal. Specifically, when the current sag characteristic parameter falls within a certain feature interval in the preset feature parameter space, the corresponding set of associated feature parameters is selected as one of the input parameter sources for the compensation action strategy generation process, in order to participate in the generation of the compensation action strategy.

[0097] In this embodiment, the intelligent compensation strategy generation module includes a strategy framework matching unit, which is used to match and select the strategy framework corresponding to the compensation action strategy after a voltage sag event occurs.

[0098] The strategy framework matching unit is configured with a strategy framework matching strategy based on the sag type. The strategy framework matching strategy takes the voltage sag trigger signal output by the voltage sag detection module as input, and selects the strategy framework corresponding to the compensation action strategy based on the sag characteristic parameters corresponding to the voltage sag trigger signal.

[0099] The voltage sag characteristic parameters include at least one or a combination of parameters used to characterize the voltage sag amplitude variation, voltage sag duration variation, or voltage sag occurrence process variation. In specific implementation, the strategy framework matching unit extracts or obtains the corresponding voltage sag characteristic parameters from the voltage sag trigger signal, and determines the type of the current voltage sag event based on the voltage sag type characteristics reflected by the voltage sag characteristic parameters.

[0100] The strategy framework matching unit is pre-configured with multiple compensation strategy frameworks, each designed to adapt to different types of voltage sag events. During implementation, the strategy framework matching unit matches the current voltage sag event to the corresponding strategy framework among the pre-defined multiple compensation strategy frameworks based on the sag characteristic parameters.

[0101] After completing the strategy framework matching, the strategy framework matching unit generates a compensation action strategy for subsequent compensation action parameter correction under the constraints of the matched strategy framework. This compensation action strategy serves as input to the subsequent compensation action parameter correction unit, used to further correct the compensation action parameters within the scope defined by the corresponding strategy framework.

[0102] In this way, the strategy framework matching unit realizes the matching and selection of the compensation action strategy framework based on the voltage sag type, providing the strategy framework level constraints for the subsequent correction of compensation action parameters.

[0103] In this embodiment, a compensation strategy adaptation mechanism based on load characteristics is further introduced. Specifically, the intelligent compensation strategy generation module also includes a load characteristic adaptation unit, which is used to adapt and adjust the compensation action strategy according to load characteristics, given that the strategy framework of the compensation action strategy has been determined.

[0104] The load characteristic adaptation unit is configured with a policy adaptation strategy based on load characteristics. The policy adaptation strategy uses load characteristic parameters as input and refines the parameter adjustment logic involved in the compensation action strategy without changing the existing matching strategy framework.

[0105] The load characteristic parameters include at least one or a combination of parameters used to characterize the load's sensitivity to voltage sags, load operation continuity requirements, or allowable voltage fluctuation range. In practice, the load characteristic parameters can be pre-configured by the system or provided by a load-related operation information module, and correspond to the type of load currently powered by the regulator.

[0106] During the generation of compensation action strategies, after the strategy framework matching unit has determined the strategy framework corresponding to the compensation action strategy based on the sag characteristic parameters, the load characteristic adaptation unit sets the adjustment priority, adjustment order, or activation conditions of the compensation action parameters in the compensation action strategy according to the load characteristic parameters. Through the above settings, the compensation action strategy is further matched with the operating characteristics of the load under the constraints of the strategy framework.

[0107] For example, for loads that are highly sensitive to voltage sags or have high requirements for operational continuity, the load characteristic adaptation unit can prioritize the use of compensation action parameters that have a greater impact on voltage recovery speed in the compensation action strategy; for loads that allow a wide range of voltage fluctuations, the adjustment order or activation conditions of the compensation action parameters can be set accordingly while maintaining the consistency of the strategy framework.

[0108] In this way, the load characteristic adaptation unit can adapt and adjust the compensation action strategy to different load characteristics without changing the compensation action strategy framework, so that the compensation action strategy can establish a correspondence between the strategy framework level and the load operating characteristics.

[0109] In this embodiment, the compensation action micro-vibration sensing module includes a multi-point micro-vibration collaborative sensing unit, which is used to collaboratively sense the micro-vibration response of different structural parts inside the voltage regulator during the execution of the compensation action.

[0110] The multi-point micro-vibration collaborative sensing unit is configured with a multi-point collaborative sensing and timing organization strategy. The multi-point collaborative sensing and timing organization strategy uses a preset time interval for the compensation execution module to perform compensation actions as the sensing time range. Within this time interval, micro-vibration signals are collected from multiple groups of micro-vibration acquisition objects located in different structural parts inside the voltage regulator.

[0111] Multiple sets of micro-vibration acquisition targets are set at different structural parts inside the voltage regulator related to the compensation action, and different structural parts correspond to different micro-vibration response characteristics. During the execution of the compensation action, the multi-measuring-point micro-vibration collaborative sensing unit acquires the micro-vibration acquisition results corresponding to each measuring point to reflect the micro-vibration response of different structural parts inside the voltage regulator during the execution of the compensation action.

[0112] After obtaining the micro-vibration acquisition results from each measuring point, a multi-measuring-point collaborative sensing and temporal organization strategy is used to perform time alignment and temporal organization processing on the micro-vibration acquisition results obtained from each measuring point. Specifically, by aligning the timestamps of the micro-vibration acquisition results from each measuring point, the micro-vibration signals from different structural parts are organized accordingly on the same time axis, thereby maintaining the consistency of the micro-vibration response of each measuring point in the time dimension.

[0113] After completing time alignment and timing organization, the multi-point micro-vibration collaborative sensing unit constructs multi-point micro-vibration timing response data to characterize the changes in micro-vibration response of different structural parts during the compensation action. The multi-point micro-vibration timing response data reflects the synchronous changes and interrelationships of micro-vibration responses of different structural parts inside the voltage regulator during the compensation action.

[0114] In this embodiment, the multi-point micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the subsequent processing together with the single-point micro-vibration acquisition results. Specifically, the multi-point micro-vibration time-series response data is provided to the correlation feature extraction module to participate in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results, thereby providing more complete structural response information for the generation of subsequent compensation action strategies.

[0115] In this embodiment, the system also includes a multi-regulator parameter sharing unit, which is used to uniformly organize and share the associated characteristic parameters formed by multiple regulators.

[0116] The multi-voltage regulator parameter sharing unit is configured with a multi-voltage regulator associated characteristic parameter sharing strategy. This strategy is used to perform system-level processing of the associated characteristic parameters generated by different voltage regulators during their respective compensation operations when multiple voltage regulators exist in the distribution network.

[0117] In practical implementation, when multiple voltage regulators exist in the power distribution network, each regulator generates associated characteristic parameters related to its corresponding compensation action after a voltage sag event occurs and it performs a compensation action. The multi-regulator parameter sharing unit organizes the associated characteristic parameters formed by different regulators based on the sag characteristic parameters reflected by the voltage sag trigger signals of each regulator, thus forming an ordered parameter set at the system level.

[0118] Based on this, the multi-regulator associated characteristic parameter sharing strategy shares associated characteristic parameters among multiple regulators when preset sharing conditions are met. The preset sharing conditions are used to limit the sharing scope and timing of associated characteristic parameters to prevent the disordered use of associated characteristic parameters formed under different sag characteristics.

[0119] In this embodiment, the shared associated feature parameters are not directly used for the execution control of the compensation action, but are used as reference parameters for the intelligent compensation strategy generation module. Specifically, when a voltage regulator detects a new voltage sag event during subsequent operation, its intelligent compensation strategy generation module, in the process of generating a compensation action strategy, can call the shared associated feature parameters provided by the multi-voltage regulator parameter sharing unit under the corresponding sag feature parameter conditions to participate in the generation of the compensation action strategy.

[0120] In the above manner, when there are multiple voltage regulators in the power distribution network, the system can achieve orderly sharing of associated characteristic parameters among multiple voltage regulators while maintaining the independent execution of the compensation actions of each voltage regulator, thus providing cross-device reference information for the generation of compensation action strategies.

[0121] In this embodiment, the system further includes a device-level parameter management unit for maintaining parameter differences between different voltage regulators under a sharing mechanism.

[0122] The device-level parameter management unit is configured with a device-level parameter differentiation invocation strategy. This strategy is used to differentiate and manage the associated characteristic parameters generated by each regulator during its respective compensation action, while the multi-regulator parameter sharing unit shares the associated characteristic parameters.

[0123] In practice, each voltage regulator corresponds to a unique device identifier. The device-level parameter management unit, based on the device identifier, distinguishes and stores the associated characteristic parameters generated by each voltage regulator, organizing the associated characteristic parameters generated by different voltage regulators into a set of device-level associated characteristic parameters corresponding to that voltage regulator. Thus, at the system level, both shared associated characteristic parameters and a set of device-level associated characteristic parameters corresponding one-to-one with each voltage regulator are simultaneously formed.

[0124] When the device-level parameter management unit provides associated feature parameters to the intelligent compensation strategy generation module, the module selects or combines shared associated feature parameters and the corresponding device-level associated feature parameter set based on the device identifier corresponding to the voltage regulator currently participating in the compensation action. Specifically, during the generation of the compensation action strategy, the intelligent compensation strategy generation module can either use the shared associated feature parameters provided by the multi-voltage regulator parameter sharing unit as a reference, or it can use parameters from the device-level associated feature parameter set corresponding to the current voltage regulator device identifier.

[0125] In this way, the device-level parameter management unit enables the compensation action strategy to utilize the associated characteristic parameters shared among multiple voltage regulators while still adapting to the individual differences of different voltage regulators. This allows for the generation of a strategy that combines parameter sharing with device differences in a multi-voltage regulator operating environment.

[0126] This invention addresses the impact of voltage sag events on voltage regulator operation in power distribution networks, constructing a complete intelligent compensation process. This process uses voltage sag detection as the trigger point and voltage regulator compensation as the core execution element. During the compensation process, a micro-vibration sensing and correlation feature analysis mechanism is introduced to establish a clear data correlation between compensation action parameters, structural response changes, and the strategy generation process. Based on this, a compensation action strategy generation and update mechanism enables dynamic correction and continuous adjustment of compensation action parameters.

[0127] Furthermore, this invention, through the hierarchical introduction and organization of voltage sag characteristic parameters, load characteristic parameters, and associated characteristic parameters, provides a clear strategy framework constraint and parameter correction logic for the generation process of the compensation action strategy. Simultaneously, through mechanisms such as multi-point micro-vibration collaborative sensing, multi-stabilizer parameter sharing, and device-level parameter management, the system can adapt to actual power distribution network environments with multiple stabilizers coexisting, multiple operating scenarios, and individual device differences. The aforementioned modules cooperate functionally and are interconnected data-wise, thus jointly constituting an implementation system for an intelligent voltage sag compensation system.

[0128] Without departing from the existing voltage regulator hardware structure and power distribution network operation mode, this invention organically combines voltage sag detection, compensation execution, structural response perception, and compensation strategy generation and updating through modular design and parameterized processing, providing an achievable and scalable system implementation path for voltage regulator operation in complex power grid environments.

[0129] The embodiments described above do not constitute a limitation on the scope of protection of this technical solution. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the above embodiments should be included within the scope of protection of this technical solution.

Claims

1. A fast-response intelligent compensation system for voltage sag regulators, applied in a power distribution network containing at least one voltage regulator, for performing compensation on the load-side voltage when a voltage sag occurs, characterized in that, The system includes: The voltage sag detection module is used to monitor the voltage in the power distribution network and output a voltage sag trigger signal when the detected voltage amplitude is lower than a preset threshold within a preset time window. The compensation execution module, located within the voltage regulator, is used to perform compensation actions upon receiving the voltage sag trigger signal by switching the compensation winding with a thyristor and / or by discharging the energy storage unit. The compensation action is configured with compensation action parameters; The compensation action micro-vibration sensing module is used to collect micro-vibration signals from the voltage regulator structural parts related to the compensation action within a preset time interval during which the compensation execution module performs the compensation action, and output the micro-vibration collection results. The correlation feature extraction module is used to perform time correlation analysis on the micro-vibration acquisition results and the compensation action parameters, and extract correlation feature parameters to characterize the correspondence between the compensation action parameters and the micro-vibration acquisition results; The intelligent compensation strategy generation module is used to match the strategy framework of the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal, and generate a compensation action strategy that matches the current voltage sag event based on the associated characteristic parameters within the strategy framework. The compensation action strategy is used to correct the compensation action parameters and form compensation correction parameters. The compensation execution module executes the compensation correction action according to the compensation correction parameters. The compensation strategy update module is used to update the associated feature parameters based on the micro-vibration acquisition results output by the micro-vibration sensing module after the compensation correction action is completed, and to store the updated associated feature parameters for use when generating subsequent compensation action strategies.

2. The fast-response intelligent compensation system for voltage sag regulators according to claim 1, characterized in that, The compensation action micro-vibration sensing module includes a micro-vibration response organization unit. The micro-vibration response organization unit is configured with a micro-vibration timing organization strategy. The micro-vibration timing organization strategy is used to divide the micro-vibration acquisition results into three stages: before the start of the compensation action, during the execution of the compensation action, and after the completion of the compensation action, according to the time process of the compensation execution module executing the compensation action. The micro-vibration acquisition results obtained in the three stages are then time-series organized to construct micro-vibration timing response data that characterizes the relationship between the voltage regulator structural response changes before and after the execution of the compensation action. The micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results by the associated feature extraction module.

3. The fast-response intelligent compensation system for voltage sag regulators according to claim 2, characterized in that, The association feature extraction module includes an association feature determination unit, which is configured with an association feature determination strategy. The correlation feature determination strategy is used to analyze the correspondence between the micro-vibration changes reflected by the micro-vibration time-series response data and the changes in the compensation action parameters during the execution of the compensation action, based on the micro-vibration time-series response data and the corresponding compensation action parameters, and to generate correlation feature parameters. The associated feature parameters reflect at least one of the following: The correspondence between changes in micro-vibration amplitude and changes in compensation action parameters; The temporal overlap between the frequency domain characteristics of micro-vibration and the compensation action parameters; Micro-vibration differences under different combinations of compensation action parameters; The associated feature parameters, used to characterize the correspondence between the compensation action parameters and the structural response changes during the compensation action execution process reflected by the micro-vibration acquisition results, serve as one of the input parameters for the intelligent compensation strategy generation module to generate the compensation action strategy.

4. The fast-response intelligent compensation system for voltage sag regulators according to claim 3, characterized in that, The intelligent compensation strategy generation module includes a compensation action parameter correction unit, which is configured with a compensation action parameter correction strategy. The compensation action parameter correction strategy is used to correct the compensation action parameters and generate compensation correction parameters based on the associated feature parameters, based on the strategy framework matching of the compensation action strategy completed by the intelligent compensation strategy generation module based on the voltage sag trigger signal corresponding to the sag feature parameters. The compensation correction parameters are generated in at least one of the following ways: The compensation action parameters are weighted and adjusted based on the associated feature parameters. The compensation action parameters are offset and corrected based on the associated feature parameters; The compensation action parameters are modified at the level of amplitude, timing, or parameter combination.

5. The fast-response intelligent compensation system for voltage sag regulators according to claim 1, characterized in that, The compensation strategy update module includes an associated feature update unit and a feature classification organization unit; The associated feature update unit is configured with an associated feature update strategy. The associated feature update strategy is used to perform an association analysis between the latest micro-vibration acquisition result output by the compensation action micro-vibration sensing module and the compensation action parameter corresponding to the current compensation action, and based on the association analysis result, to correct and update the associated feature parameter to form an updated associated feature parameter that reflects the structural response change during the execution of the current compensation action. The feature classification organization unit is configured with a feature classification organization strategy. The feature classification organization strategy is used to use the voltage sag trigger signal corresponding to the sag feature parameter as the classification index, and organize the updated associated feature parameters into the corresponding associated feature parameter set according to the value range or feature combination of the sag feature parameter in the preset feature parameter space. The set of associated feature parameters is used by the intelligent compensation strategy generation module to match and call the sag feature parameters corresponding to the current voltage sag trigger signal when a subsequent voltage sag event occurs, so as to participate in the generation of the compensation action strategy.

6. The fast-response intelligent compensation system for voltage sag regulators according to claim 1, characterized in that, The intelligent compensation strategy generation module includes a strategy framework matching unit, which is configured with a strategy framework matching strategy based on the voltage sag type. The strategy framework matching strategy is used to match and select the strategy framework corresponding to the compensation action strategy based on the voltage sag characteristic parameters corresponding to the voltage sag trigger signal. The voltage sag characteristic parameters include at least one or a combination of parameters used to characterize the voltage sag amplitude variation characteristics, sag duration characteristics, or sag occurrence process variation characteristics; The strategy framework matching unit matches the current voltage sag event to the corresponding strategy framework among a plurality of preset compensation strategy frameworks based on the sag characteristic parameters, and generates a compensation action strategy for subsequent compensation action parameter correction under the constraints of the matched strategy framework.

7. The fast-response intelligent compensation system for voltage sag regulators according to claim 6, characterized in that, The intelligent compensation strategy generation module further includes a load characteristic adaptation unit. The load characteristic adaptation unit is configured with a strategy adaptation strategy based on load characteristics. The strategy adaptation strategy is used to adapt and adjust the compensation action strategy based on load characteristic parameters, provided that the strategy framework of the compensation action strategy has been determined. The load characteristic parameters include at least one or a combination of parameters used to characterize the load’s sensitivity to voltage sags, the load’s operational continuity requirements, or the load’s allowable voltage fluctuation range. The load characteristic adaptation unit sets the adjustment priority, adjustment order, or activation conditions of the compensation action parameters in the compensation action strategy according to the load characteristic parameters, so that the compensation action strategy matches the load characteristics under the constraints of the strategy framework.

8. The fast-response intelligent compensation system for voltage sag regulators according to claim 7, characterized in that, The compensation action micro-vibration sensing module includes a multi-point micro-vibration collaborative sensing unit, which is configured with a multi-point collaborative sensing and timing organization strategy. The multi-point collaborative sensing and timing organization strategy is used to collect micro-vibration signals from multiple sets of micro-vibration acquisition objects located in different structural parts inside the voltage regulator within a preset time interval when the compensation execution module performs the compensation action. The micro-vibration acquisition results obtained from each measuring point are time-aligned and time-series organized to construct multi-point micro-vibration timing response data to characterize the micro-vibration response changes of different structural parts during the compensation action execution process. The multi-point micro-vibration time-series response data, as part of the micro-vibration acquisition results, participates in the analysis of the correspondence between the compensation action parameters and the micro-vibration acquisition results by the associated feature extraction module.

9. The fast-response intelligent compensation system for voltage sag regulators according to claim 8, characterized in that, The system also includes a multi-voltage regulator parameter sharing unit. The multi-voltage regulator parameter sharing unit is configured with a multi-voltage regulator associated characteristic parameter sharing strategy. The multi-voltage regulator associated characteristic parameter sharing strategy is used to organize the associated characteristic parameters formed by different voltage regulators in a unified manner according to the sag characteristic parameters corresponding to each voltage regulator when there are multiple voltage regulators in the power distribution network, and to share the associated characteristic parameters among the multiple voltage regulators when the preset sharing conditions are met. The shared associated feature parameters serve as reference parameters for the intelligent compensation strategy generation module, and are used to participate in the generation of compensation action strategies under the corresponding temporary drop feature parameter conditions.

10. The fast-response intelligent compensation system for voltage sag regulators according to claim 9, characterized in that, The system also includes a device-level parameter management unit, which is configured with a device-level parameter differentiation calling strategy. The device-level parameter differentiation calling strategy is used to distinguish and store the associated feature parameters formed by each voltage regulator according to the voltage regulator device identifier while the multi-voltage regulator parameter sharing unit shares the associated feature parameters, thereby forming a set of device-level associated feature parameters for the corresponding voltage regulator. When the device-level parameter management unit provides associated feature parameters to the intelligent compensation strategy generation module, it selects or combines shared associated feature parameters and the corresponding device-level associated feature parameter set based on the device identifier of the current voltage regulator, so that the compensation action strategy can adapt to the individual differences of the device while utilizing shared parameters.

Images