Phase modifier control parameter adaptive adjustment method based on operating condition characteristic matching

Abstract

The application discloses a phase modifier control parameter adaptive adjustment method based on operation condition characteristic matching, relates to the technical field of power system control, and comprises the following steps: constructing a typical operation condition characteristic library, classifying and processing new energy output level, load change condition and voltage response characteristics, and generating corresponding phase modifier control parameter combinations for different categories of typical operation conditions.The application realizes dynamic adjustment of the phase modifier control parameter along with new energy output and load change by constructing the typical operation condition characteristic library and establishing a mapping relationship between the operation condition and the phase modifier control parameter, thereby improving parameter adaptation capability in different operation scenarios, enhancing continuity in the voltage regulation process, and improving operation stability and voltage fluctuation suppression capability in a remote weak power grid.

Description

Technical Field

[0001] This invention relates to the field of power system control technology, and specifically to an adaptive adjustment method for synchronous condenser control parameters based on operating condition characteristic matching. Background Technology

[0002] With the increasing penetration of new energy power generation (such as wind power and photovoltaics) in the power system, especially in remote and weak power grids, the grid's operating conditions are characterized by frequent changes and high instability due to the relatively weak grid structure, limited regulation resources, random fluctuations in new energy output, and uncertain changes in load demand. Against this backdrop, synchronous condensers, as important dynamic reactive power support and voltage regulation devices, play a crucial role in maintaining grid voltage stability and improving system transient and dynamic stability. Synchronous condensers typically regulate voltage through their control systems (such as excitation controllers), and their control performance largely depends on the proper setting of control parameters (such as controller gain and phase compensation parameters).

[0003] Deficiencies of existing technology However, most existing synchronous condenser control methods employ fixed parameters or control strategies based on a single operating condition. This means that a set of control parameters is determined during the design or commissioning phase and remains unchanged over a long period during actual operation. While this approach may meet requirements when the power grid operating conditions are relatively stable, in weak grid environments with frequent fluctuations in renewable energy output and drastic load changes, the differences between different operating conditions are significant. Fixed parameters struggle to accommodate control performance under various conditions, easily leading to problems such as voltage regulation response lag, overshoot, or oscillation, thereby reducing system stability. Furthermore, existing technologies lack effective mechanisms for identifying and classifying power grid operating conditions, making it impossible to adjust control parameters specifically based on real-time operating characteristics, resulting in insufficient adaptability of the synchronous condenser under changing conditions.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive adjustment method for the control parameters of a synchronous condenser based on matching operating condition characteristics, so as to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an adaptive adjustment method for the control parameters of a synchronous condenser based on operating condition feature matching, comprising the following steps: A typical operating condition feature library is constructed to classify and process the output level of new energy sources, load changes and voltage response characteristics, and generate corresponding synchronous condenser control parameter combinations for different categories of typical operating conditions. Based on the classification results in the typical operating condition feature library, the association processing of various typical operating conditions and corresponding synchronous condenser control parameter combinations is carried out to establish the mapping relationship between controller gain and phase compensation parameters and typical operating conditions, and to form a synchronous condenser control strategy table. During the operation of the synchronous condenser, the power grid operation characteristics are collected, including new energy output information, load change information and voltage response information. The operation characteristics are then processed by feature extraction to form the current operating condition characteristics. The matching process is performed in the typical operating condition feature library using the current operating condition characteristics, and the corresponding combination of synchronous condenser control parameters is determined by combining the synchronous condenser control strategy table. The control parameters of the synchronous condenser are adjusted according to the combination of control parameters obtained by matching processing, so that the control parameters of the synchronous condenser change dynamically with the output of new energy and the load.

[0007] Preferably, a unified processing procedure based on the expression of operating condition characteristics is adopted, in which the power output information of new energy sources, load change information, and voltage response information are structured and organized to form clear operating condition characteristic description data. The steps are as follows: Collect the changes in wind power output and photovoltaic power output from the new energy output information, and sort and process the output data of different types of new energy in chronological order; Extract the load power change and load change direction information from the load change information, and identify the continuous change intervals in the load change process; Record the bus voltage change, voltage fluctuation process, and voltage recovery process in the voltage response information, and perform segmented expression of the voltage change trajectory; Information on new energy output, load changes, and voltage response is converted and linked in a unified format to form operating condition characteristic description data containing multi-dimensional operating features.

[0008] Preferably, to address the differences in the expression process between different operating scenarios, the operating condition characteristics are classified and divided to form distinctive typical operating condition categories. The steps are as follows: Organize the process of new energy power output change in the operating condition characteristic description data, and divide the power output change range. Analyze the continuous state of load change during the process and group and label different stages of change; The operating scenarios are classified based on the voltage fluctuation trajectory and recovery process during the voltage response change process; Based on the range of new energy output changes, load change groups, and voltage response change trajectories, several typical operating condition categories are formed and assigned corresponding classification labels.

[0009] Preferably, the control parameters of the synchronous condenser are combined and processed according to the changes in operating conditions and the relationship between control parameter configuration to form parameter combination relationships corresponding to different operating conditions. The steps are as follows: Extract the range of new energy output variation in typical operating condition categories, and further subdivide the variation range into intervals; Associate the range of load changes and divide the load change stages to determine the corresponding change range of phase compensation parameters; Based on the voltage fluctuation characteristics in the voltage response change state, the controller gain change trend is configured in segments; The controller gain variation range and the phase compensation parameter variation range are combined and arranged to form the synchronous condenser control parameter combination data.

[0010] Preferably, the process involves constructing a control strategy table for a synchronous condenser based on the correspondence between operating condition characteristics and control parameters, organizing relevant data, and forming the table. The steps are as follows: Summarize the typical operating condition categories and their characteristic descriptions, and organize the characteristics of each type of operating condition in a structured manner. Organize the controller gain change information and phase compensation parameter change information in the control parameter combination of the synchronous condenser, and classify the parameter ranges. Establish the correspondence between operating condition characteristics and control parameter combinations, and form corresponding mapping data; The operating condition category, operating condition characteristic description information, and control parameter combination mapping data are integrated to form a synchronous condenser control strategy table.

[0011] Preferably, the process of organizing the characteristic quantities of power grid operation involves correlating and processing information on renewable energy output, load changes, and voltage response to form a characteristic expression of the current operating condition. The steps are as follows: Acquire the output change process data from the new energy power output information, and perform segmented recording and processing of the output change process; Extract the trend data from the load change information and divide the trend into continuous intervals; Organize the voltage change process data in the voltage response information and segment and label the voltage change trajectory; Information on new energy output, load changes, and voltage response is correlated and integrated to form characteristic data of the current operating conditions.

[0012] Preferably, the process of constructing characteristic data of the current operating conditions involves refining the correlation between new energy output information, load change information and voltage response information, matching the corresponding positions of output change process data, load change trend data and voltage change process data, and combining and expressing them in a unified change order to form an operating condition characteristic sequence with a consistent structure.

[0013] Preferably, for the operational condition identification process, the corresponding operational condition category is determined by processing the relationship between the characteristics of the current operational condition and the characteristics of typical operational conditions. The steps are as follows: Read the operating condition feature data from the current operating condition features and organize the feature data in a structured manner; Compare the operating condition feature description information in the typical operating condition feature library and extract the corresponding feature interval data; Perform corresponding matching processing between operating condition characteristics and form operating condition matching relationship data; Based on the operating condition matching relationship data, determine the typical operating condition category corresponding to the current operating condition characteristics.

[0014] Preferably, by combining the relationship between changes in operating conditions and adjustments to control parameters, the control parameters of the synchronous condenser are continuously adjusted to form a parameter change process corresponding to changes in operating conditions. The steps are as follows: Obtain the combination of control parameters for the camera adjuster obtained from the matching process, and then organize the combination of control parameters into a structured form. Extract controller gain variation information from the control parameter combination and divide the variation range; Extract and correlate information on phase compensation parameter changes to form a corresponding relationship between parameter changes; The controller gain and phase compensation parameters are continuously adjusted according to the changes in operating conditions to generate parameter change process data.

[0015] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention constructs a typical operating condition feature library and innovatively establishes a dynamic mapping mechanism between operating conditions and synchronous condenser control parameters, realizing the transformation of synchronous condenser control parameters from traditional static setting to condition-driven adaptive adjustment. By characterizing the changes in renewable energy output and load, and mapping them to the corresponding control parameter space, the synchronous condenser can match the optimal parameter combination in real time according to different operating scenarios, thereby significantly improving the adaptability of parameters under multiple operating conditions. Compared with existing methods that only tune parameters for a single or a few operating conditions, this invention, for the first time, realizes a dynamic parameter scheduling strategy based on typical operating condition classification, enabling the synchronous condenser to maintain a continuous and stable voltage regulation state during renewable energy fluctuations and continuous load changes, effectively reducing the fluctuation amplitude during voltage response and significantly enhancing the operational stability of remote and weak power grids.

[0016] This invention further constructs a closed-loop control system by designing a real-time feature matching and linkage invocation mechanism for renewable energy output information, load change information, and voltage response information. This system integrates operating condition identification, parameter matching and invocation, and synchronous updates of the control process. As operating conditions continuously evolve, the synchronous condenser control parameters can be updated synchronously with these changes, achieving dynamic consistency between control parameters and system state. This method overcomes the limitations of traditional methods that rely on delayed control parameter adjustments or manual intervention. It innovatively implements a parameter adaptive tracking mechanism for continuously changing operating conditions, significantly improving the synchronous condenser's response sensitivity and regulation continuity in complex operating environments, and further enhancing the stability and robustness of the voltage regulation process. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0018] Figure 1 This is a flowchart of the adaptive adjustment method for the control parameters of a synchronous condenser based on matching operating condition characteristics according to the present invention.

[0019] Figure 2 This is a flowchart illustrating the construction process of the operational condition characteristic description data for this invention.

[0020] Figure 3 This is a diagram illustrating the process of forming typical operating condition categories of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figures 1-3 The adaptive adjustment method for synchronous condenser control parameters based on operating condition feature matching, as shown, includes the following steps: A typical operating condition feature library is constructed to classify and process the output level of new energy sources, load changes and voltage response characteristics, and generate corresponding synchronous condenser control parameter combinations for different categories of typical operating conditions. To address the fluctuations in renewable energy output and changes in operating conditions caused by load variations, the correlation between synchronous condenser control parameters and operating conditions is pre-configured. A typical operating condition feature library is constructed to generate control parameter combinations for various operating scenarios, thereby improving the adaptability of synchronous condenser control parameters to different operating conditions. The construction process of the typical operating condition feature library includes operating feature acquisition, operating condition classification, operating condition correlation processing, and control parameter combination generation. The specific steps are as follows: The system continuously collects data on renewable energy output, load changes, and voltage response characteristics during grid operation. Renewable energy output includes changes in wind and photovoltaic power output; load changes include variations in load power and fluctuations over different time periods; and voltage response characteristics include bus voltage trends, voltage fluctuation amplitudes, and changes during voltage recovery. For renewable energy output, the system categorizes output changes into multiple operating states within a preset time range. For load changes, it differentiates based on the magnitude and frequency of load changes. For voltage response characteristics, it records the response speed and fluctuations during voltage changes. Simultaneously, the system performs unified time-scale processing on renewable energy output, load changes, and voltage response characteristics to form a set of operational characteristic data for the corresponding time periods, thereby creating basic operating condition data for multiple operating scenarios.

[0023] Basic operating condition data is used to classify different operating scenarios and form corresponding typical operating condition categories. During the classification process, operating scenarios are distinguished according to the correspondence between changes in renewable energy output, load changes, and voltage response characteristics. Operating scenarios where renewable energy output changes frequently and load changes synchronously are classified as the first type of typical operating condition. Operating scenarios where renewable energy output changes smoothly and load demand remains stable are classified as the second type of typical operating condition. Operating scenarios where renewable energy output changes asynchronously with load changes and voltage response fluctuates are classified as the third type of typical operating condition. Simultaneously, the range of renewable energy output changes, load changes, and voltage response changes in each type of typical operating condition are recorded and corresponding operating condition characteristic descriptions are generated to clearly distinguish between different typical operating conditions.

[0024] For different types of typical operating conditions, corresponding synchronous condenser control parameter combinations are configured. These combinations include controller gain, phase compensation parameters, and voltage regulation parameters. For typical operating conditions where renewable energy output levels fluctuate frequently, the frequency of controller gain changes is increased and the range of phase compensation parameter changes is adjusted to enhance the synchronous condenser's response to voltage changes. For typical operating conditions where load changes are stable, the controller gain is kept stable during changes, and the phase compensation parameters are continuously adjusted to maintain stable operation during voltage regulation. For typical operating conditions where renewable energy output levels and load changes fluctuate simultaneously, the controller gain and phase compensation parameters are configured together, and the voltage regulation parameter changes are adjusted synchronously to form the corresponding synchronous condenser control parameter combinations for the operating scenario. Furthermore, the synchronous condenser control parameter combinations for each type of typical operating condition are numbered, and corresponding relationship data is generated.

[0025] A typical operating condition feature library is established using typical operating condition categories, operating condition characteristic descriptions, and synchronous condenser control parameter combinations. This library includes information on changes in renewable energy output levels, load changes, voltage response characteristics, and corresponding synchronous condenser control parameter combinations. For different categories of typical operating conditions, the library is categorized and stored according to the range of renewable energy output changes, load changes, and voltage response changes. The corresponding synchronous condenser control parameter combinations for each type of typical operating condition are also linked and recorded. Furthermore, the library retains the operating condition change processes and corresponding control parameter change processes under different operating scenarios, forming a correspondence between synchronous condenser control parameters under multiple operating conditions. This provides a foundation of operating condition characteristics for subsequent operating condition matching and dynamic adjustment of synchronous condenser control parameters.

[0026] Based on the classification results in the typical operating condition feature library, the association processing of various typical operating conditions and corresponding synchronous condenser control parameter combinations is carried out to establish the mapping relationship between controller gain and phase compensation parameters and typical operating conditions, and to form a synchronous condenser control strategy table. Based on the classification results in the typical operating condition feature library, the correspondence between typical operating conditions and synchronous condenser control parameter combinations is correlated, and a synchronous condenser control strategy table applicable to different operating scenarios is generated. The synchronous condenser control strategy table records the changes in controller gain and phase compensation parameters corresponding to different typical operating conditions, so that the synchronous condenser control parameters can be adjusted accordingly when operating conditions change. The specific steps are as follows: The system reads typical operating condition categories, characteristic descriptions, and synchronous condenser control parameter combinations from a typical operating condition feature library. Based on the correspondence between changes in renewable energy output, load changes, and voltage response characteristics, different typical operating conditions are categorized and organized. Specifically, for typical operating conditions where renewable energy output changes continuously and load fluctuates synchronously, the system records the voltage response changes and synchronous condenser control parameter changes within the corresponding operating scenario. For typical operating conditions where renewable energy output changes smoothly and load demand changes continuously, the system records the voltage regulation process and phase compensation parameter changes within the corresponding operating scenario. For typical operating conditions where renewable energy output changes and load changes alternate, the system records the controller gain changes and voltage response changes within the corresponding operating scenario. Simultaneously, the characteristic descriptions of different typical operating conditions are uniformly organized to form corresponding operating condition association data for subsequent association processing of controller gain and phase compensation parameters.

[0027] Based on the correlation data of operating conditions, the control parameter combinations of synchronous condensers are correlated. Specifically, the controller gain in the synchronous condenser control parameter combination is configured according to the range of changes in renewable energy output and the voltage response change process, while the phase compensation parameter is configured according to the load change and voltage fluctuation process. For typical operating conditions where renewable energy output changes frequently, the range of controller gain changes is continuously divided, and a corresponding relationship is established according to the voltage response change process. For typical operating conditions where the load change process has phased changes, the phase compensation parameter change process is divided into intervals, and the voltage response characteristics in different load change stages are recorded accordingly. For typical operating conditions where both renewable energy output and load changes fluctuate simultaneously, the controller gain and phase compensation parameter are jointly correlated to form the synchronous condenser control parameter correlation data for the corresponding operating scenario. Simultaneously, the synchronous condenser control parameter combinations corresponding to different typical operating conditions are classified and recorded to form the parameter correspondence under different operating scenarios.

[0028] A mapping relationship between controller gain and phase compensation parameters and typical operating conditions is established using synchronous condenser control parameter correlation data. This mapping relationship includes the range of renewable energy output changes, load changes, voltage response characteristic changes, and corresponding controller gain and phase compensation parameter changes. For different categories of typical operating conditions, the renewable energy output and load changes in the operating condition characteristic description information are correlated, and the controller gain and phase compensation parameter changes are recorded synchronously. For different operating scenarios within the same category, the controller gain and phase compensation parameters are segmented and correlated according to voltage response characteristic changes to form parameter mapping relationships for corresponding operating scenarios. Simultaneously, the controller gain and phase compensation parameter changes in different operating scenarios are stored to form continuously changing operating condition mapping data.

[0029] A synchronous condenser control strategy table is formed based on the mapping relationship between controller gain and phase compensation parameters and typical operating conditions. This table includes typical operating condition categories, operating condition characteristic descriptions, controller gain change information, and phase compensation parameter change information. For different typical operating conditions, the corresponding operating condition characteristic range and synchronous condenser control parameter combination information are recorded in the synchronous condenser control strategy table, and categorized according to the processes of new energy power output level change, load change, and voltage response change. Simultaneously, the synchronous condenser control strategy table retains the switching relationship of synchronous condenser control parameters between different typical operating conditions, forming a synchronous condenser control parameter correspondence applicable to multiple operating scenarios. This provides a control parameter mapping basis for subsequent operating condition matching processing and dynamic adjustment of synchronous condenser control parameters.

[0030] During the operation of the synchronous condenser, the power grid operation characteristics are collected, including new energy output information, load change information and voltage response information. The operation characteristics are then processed by feature extraction to form the current operating condition characteristics. During the operation of the synchronous condenser, power grid operating characteristics are continuously collected, and the current operating condition characteristics are formed through the correlation and changes between these characteristics. These operating characteristics include renewable energy output information, load change information, and voltage response information. By correlating and extracting different operating characteristics, current operating condition characteristics suitable for operating condition matching are formed, thereby improving the operating condition identification capability during the dynamic adjustment of synchronous condenser control parameters. The specific steps are as follows: During the operation of the synchronous condenser, information on renewable energy output, load changes, and voltage response is continuously collected. Renewable energy output information includes changes in wind power output, photovoltaic power output, and the process of renewable energy output fluctuations. Load change information includes changes in load power and the direction of load changes. Voltage response information includes changes in bus voltage, voltage fluctuations, and voltage recovery. These renewable energy output, load change, and voltage response information are recorded according to a unified collection cycle, forming a sequence of operational characteristic quantities. Based on this sequence, a relationship value for renewable energy output changes is constructed, determined according to the following formula: in, This value represents the relationship between the output of new energy sources and the voltage response. This indicates the change in wind power output; This indicates the change in photovoltaic power generation output; Indicates the change in voltage response; Indicates the change in load power; The load change buffer coefficient is used to maintain the continuity between the new energy output information and the load change information; the new energy output change relationship value is used to reflect the influence of the new energy output change process on the voltage response change process and to form the initial correlation between the operating characteristic quantities.

[0031] Based on the relationship values ​​of renewable energy output changes, load change information and voltage response information are correlated and extracted to form load-voltage correlation feature values. For the load change direction information in the load change information, they are arranged according to the continuous state of change during the load change process. For the bus voltage change and voltage recovery process in the voltage response information, they are recorded according to the continuous state of response during the voltage change process. The load-voltage correlation feature values ​​are constructed by combining the renewable energy output change relationship values, and are determined according to the following formula: in, These represent load voltage correlation characteristic values, used to characterize the correlation between load change processes and voltage response change processes; This indicates the change in bus voltage; Indicates the amount of voltage recovery change; This value indicates the direction of load change and is used to represent the directional state during the load change process. The voltage response regulation coefficient is used to maintain the continuity of voltage response changes. The load voltage correlation characteristic value is used to form the correlation relationship between new energy output information, load change information and voltage response information, and to form the corresponding operational characteristic quantity correlation data.

[0032] Feature extraction and processing are performed on renewable energy output information, load change information, and voltage response information using operational characteristic quantity correlation data to form the current operating condition characteristics. For renewable energy output fluctuations, the data is hierarchically arranged according to the renewable energy output change relationship values. For load change data, the load power change is divided into intervals according to the load voltage correlation characteristic values. For voltage response data, the voltage fluctuation process is correlated and extracted according to the correspondence between bus voltage change and voltage recovery change. Simultaneously, operating condition characteristic values ​​are constructed based on renewable energy output change relationship values ​​and load voltage correlation characteristic values, and these operating condition characteristic values ​​are determined according to the following formula: in, This represents the characteristic value of the operating condition, which is used to characterize the comprehensive correlation between new energy output information, load change information and voltage response information under the current operating state; This indicates the amount of voltage fluctuation. This represents the operating condition adjustment coefficient, used to maintain the continuous state during the change of operating condition characteristic values; the operating condition characteristic values ​​are used to form the current operating condition characteristics under the corresponding operating scenario, and are used for subsequent operating condition matching processing.

[0033] Based on the characteristic values ​​of operating conditions, the current operating condition characteristics are organized to form operating condition characteristic data suitable for operating condition matching processing. For renewable energy output information, load change information, and voltage response information in different operating scenarios, they are classified and recorded according to the operating condition characteristic values. For operating scenarios where the renewable energy output fluctuation process and the load change process change synchronously, the operating condition characteristic values ​​are continuously associated and recorded. For operating scenarios where the renewable energy output fluctuation process and the voltage response change process change alternate, the operating condition characteristic values ​​are arranged accordingly. At the same time, the operating condition characteristic values, the associated data of operating characteristic quantities, and the sequence of operating characteristic quantities are associated and stored to form the current operating condition characteristic data, thereby providing the operating condition characteristic basis for subsequent typical operating condition characteristic matching processing and synchronous condenser control parameter combination calling process.

[0034] The matching process is performed in the typical operating condition feature library using the current operating condition characteristics, and the corresponding combination of synchronous condenser control parameters is determined by combining the synchronous condenser control strategy table. The system performs matching processing on the current operating condition characteristics in a typical operating condition characteristic library, and determines the corresponding combination of synchronous condenser control parameters by combining this with the synchronous condenser control strategy table. By continuously matching the correlation states between the current operating condition characteristics and typical operating condition characteristics, a synchronous condenser control parameter calling relationship corresponding to the current operating scenario is formed, thereby improving the operating condition adaptability during the adjustment of synchronous condenser control parameters. The specific steps are as follows: The system reads the operating condition characteristic values, associated data, and sequences of operating characteristic quantities from the current operating condition characteristics, and simultaneously reads the typical operating condition categories, operating condition characteristic descriptions, and synchronous condenser control parameter combinations from the typical operating condition characteristic library. Specifically, the renewable energy output information, load change information, and voltage response information in the current operating condition characteristics are arranged according to the change process of the operating condition characteristic values. Different typical operating conditions in the typical operating condition characteristic library are classified and recorded according to the range of renewable energy output level changes, load change ranges, and voltage response change processes. Simultaneously, the operating condition characteristic values ​​in the current operating condition characteristics are correlated with the operating condition characteristic descriptions in the typical operating condition characteristic library to form basic operating condition matching data. The renewable energy output change process, voltage response change process, and load change process in the basic operating condition matching data are arranged according to a unified change order to form an operating condition association sequence suitable for operating condition matching processing.

[0035] The system utilizes operational condition correlation sequences to perform matching processing within a typical operational condition feature library. Specifically, for the renewable energy output change process within the current operational condition features, matching is performed according to the range of renewable energy output level changes; for the load change process within the current operational condition features, matching is performed according to the load change range; and for the voltage response change process within the current operational condition features, matching is performed according to the continuous state of change during the voltage response change process. Simultaneously, the correlation states between the renewable energy output change process, the load change process, and the voltage response change process are synchronously matched to generate corresponding operational condition matching results. Different typical operational conditions within the operational condition matching results are categorized and arranged according to the corresponding states between the renewable energy output change process and the load change process to form operational condition matching relationships under corresponding operational scenarios. For operational condition matching results with continuous changes, the operational condition feature value change process is continuously correlated and recorded to form operational condition matching data for the corresponding operational scenario.

[0036] Based on the operating condition matching data, the synchronous condenser control parameter combination information in the synchronous condenser control strategy table is read, and the synchronous condenser control parameter combinations corresponding to different typical operating conditions are correlated and filtered. Specifically, for operating scenarios where the output of renewable energy changes continuously, the controller gain change information in the corresponding operating scenario is read; for operating scenarios where the load change process has staged changes, the phase compensation parameter change information in the corresponding operating scenario is read; for operating scenarios where the output of renewable energy, the voltage response, and the load change processes are simultaneously correlated, the synchronous condenser control parameter combination information in the corresponding operating scenario is read. At the same time, the controller gain change information and the phase compensation parameter change information in the synchronous condenser control strategy table are arranged accordingly, and the corresponding synchronous condenser control parameter calling relationship is formed according to the operating condition change status in the operating condition matching results. For the synchronous condenser control parameter combinations in different operating condition matching results, they are classified and organized according to the range of renewable energy output change and the voltage response change process to form the synchronous condenser control parameter matching data for the corresponding operating scenario.

[0037] The corresponding synchronous condenser control parameter combinations are determined using synchronous condenser control parameter matching data. Specifically, for operating scenarios where the changes in renewable energy output and load change synchronously, the controller gain and phase compensation parameter combinations for the corresponding operating scenario are determined. For operating scenarios where the changes in renewable energy output and voltage response change alternate, the voltage regulation parameter combination combinations for the corresponding operating scenario are determined. For operating scenarios where the load change process is continuously changing, the corresponding synchronous condenser control parameter combinations are determined according to the operating condition change status in the operating condition matching results. At the same time, the operating condition matching results, the synchronous condenser control parameter calling relationship, and the synchronous condenser control parameter matching data are linked and recorded to form synchronous condenser control parameter combination data for the corresponding operating scenario, thereby providing the corresponding parameter calling basis for the subsequent dynamic adjustment process of synchronous condenser control parameters.

[0038] The synchronous condenser control parameters are adjusted according to the combination of synchronous condenser control parameters obtained by matching processing, so that the synchronous condenser control parameters change dynamically with the output of new energy and load. The synchronous condenser control parameters are adjusted according to the combination of control parameters obtained through matching processing. Furthermore, the control parameters are continuously adjusted based on changes in renewable energy output and load to establish a dynamic control state suitable for different operating scenarios. The synchronous condenser control parameter adjustment process includes control parameter retrieval, control parameter correlation adjustment, continuous adjustment of operating status, and dynamic change recording, thereby improving the synchronous condenser's adaptability to multiple operating conditions. The specific steps are as follows: The system reads the synchronous condenser control parameter combinations, operating condition matching results, and synchronous condenser control parameter call relationships obtained from the matching process. The synchronous condenser control parameter combinations include controller gain change information, phase compensation parameter change information, and voltage regulation parameter change information. For the renewable energy output change process in the operating condition matching results, they are arranged according to the range of renewable energy output level changes. For the load change process in the operating condition matching results, they are recorded according to the load change range. For the voltage response change process in the operating condition matching results, they are continuously associated according to the voltage response change state. Simultaneously, the renewable energy output change process, load change process, and voltage response change process are associated with the controller gain change information, phase compensation parameter change information, and voltage regulation parameter change information in the synchronous condenser control parameter combinations to form the basic data for adjusting the synchronous condenser control parameters. For synchronous condenser control parameter combinations in different operating scenarios, they are categorized and organized according to the operating condition change state in the operating condition matching results to form the control parameter change relationships in the corresponding operating scenarios.

[0039] The synchronous condenser control parameters are dynamically adjusted by utilizing the relationship between control parameter changes. Specifically, for operating scenarios where renewable energy output changes continuously, the controller gain is continuously adjusted according to the range of renewable energy output changes. For operating scenarios where load changes in stages, the phase compensation parameter is adjusted accordingly based on the load change range. For operating scenarios where renewable energy output changes, voltage response changes, and load changes are simultaneously correlated, the controller gain, phase compensation parameter, and voltage regulation parameter changes are adjusted synchronously. Furthermore, the control parameter changes in different operating scenarios are continuously correlated, and the corresponding synchronous condenser control parameter adjustment process is formed according to the order of operating condition changes in the operating condition matching results. For operating scenarios where renewable energy output changes and load changes alternate, the parameter change order in the synchronous condenser control parameter combination is arranged accordingly to form a dynamic relationship for the synchronous condenser control parameters applicable to the corresponding operating scenario.

[0040] Based on the dynamic changes in the synchronous condenser control parameters, the operation of the synchronous condenser is continuously adjusted. Specifically, for operating scenarios where the output of renewable energy sources changes continuously, the controller gain is continuously adjusted; for operating scenarios where the load changes continuously, the phase compensation parameter is continuously adjusted; and for operating scenarios where the voltage response fluctuates, the voltage regulation parameter is adjusted accordingly. Simultaneously, the controller gain, phase compensation parameter, and voltage regulation parameter changes are synchronously correlated, and corresponding parameter change states are generated according to the changes in renewable energy output and load. For parameter change states in different operating scenarios, the changes in operating conditions are continuously recorded according to the order of operating condition changes in the operating condition matching results to form dynamic adjustment data for the synchronous condenser control parameters in the corresponding operating scenario. For operating scenarios where both renewable energy output and load changes are continuous, the dynamic adjustment data for the synchronous condenser control parameters is continuously correlated to form the dynamic parameter change process for the corresponding operating scenario.

[0041] The synchronous condenser control parameters are continuously updated by utilizing the dynamic change process of parameters. Specifically, for operating scenarios where the changes in renewable energy output and load are synchronized, the controller gain change information and phase compensation parameter change information are updated synchronously. For operating scenarios where the changes in renewable energy output and voltage response alternate, the voltage regulation parameter change information is continuously updated. For operating scenarios where the load change process is continuously changing, the synchronous condenser control parameter combination is updated accordingly based on the operating condition change status in the operating condition matching results. At the same time, the control parameter change relationship, the dynamic adjustment data of the synchronous condenser control parameters, and the dynamic change process of parameters are linked and recorded to form the dynamic change data of the synchronous condenser control parameters in the corresponding operating scenario, thereby enabling the synchronous condenser control parameters to change dynamically with the changes in renewable energy output and load.

[0042] Example: To further illustrate the technical solution and beneficial effects of the present invention, the present invention will be described in detail below in conjunction with specific engineering application scenarios and actual operating data.

[0043] I. Application Scenarios This embodiment selects a weak power grid with high penetration of new energy sources as the research object. The operating parameters of this power grid are as follows: Power grid voltage level: 110kV; Wind power installed capacity: 150MW; Photovoltaic installed capacity: 100MW; Local load range: 80MW-140MW; Camera capacity: 50MVar; Power grid characteristics: The line impedance is relatively high and the system short-circuit capacity is low, which is a typical weak power grid structure.

[0044] In this power grid, due to wind speed fluctuations and cloud cover, the output of new energy sources exhibits rapid changes, while the load also fluctuates to some extent, leading to problems such as voltage fluctuations, overshoot, and oscillations on the bus.

[0045] II. Operation status of traditional control methods In existing technologies, synchronous condensers typically employ a fixed-parameter control strategy, with the control parameters set as follows: Controller gain ; Phase compensation angle ; Voltage control target range: 110kV±2%.

[0046] During a typical operating period (14:00-14:30), the power grid operation data is as follows: Table 1. Operational Data of Traditional Fixed Parameter Control Method

[0047] As shown in Table 1, the bus voltage fluctuated significantly during the period of drastic changes in the output of new energy sources, with the maximum fluctuation range reaching 4.5kV, which is about 4.1% of the rated voltage. At the same time, between 14:10 and 14:20, there was obvious response lag and oscillation in the voltage, indicating that the fixed parameter control method is difficult to adapt to the changing operating conditions.

[0048] III. Application Process of the Method of the Invention (I) Construction of a Typical Operating Condition Feature Library Based on historical operating data, the power grid operating conditions are divided into the following three typical operating conditions: Table 2. Typical Operating Condition Classification and Characteristic Description

[0049] (ii) Establishment of control parameter mapping relationship For different operating conditions, corresponding combinations of synchronous condenser control parameters are preset: Table 3. Control Parameter Mapping Relationship Table

[0050] (III) Real-time operating condition identification At 14:10: Wind power output decreased by 20MW; Solar power output decreased by 35MW; Load increase: 5MW; Voltage drop: 2.7kV.

[0051] Based on the characteristics of changes in new energy output, load changes, and voltage response, the system identifies the current operating state as Condition C (high fluctuation condition).

[0052] (iv) Adaptive adjustment of control parameters Based on the matching results, the system will make the following adjustments: The controller gain was smoothly adjusted from 25 to 30. Phase compensation angle is determined by Adjust to ; The adjustment process uses a 5-second linear transition to avoid system instability caused by sudden parameter changes.

[0053] IV. Operational Effects of the Invention Under the same operating conditions, the power grid operation data after adopting the method of the present invention are as follows: Table 4. Operational Data of the Method of the Invention

[0054] V. Performance Comparison Analysis

[0055] Based on the above data, a statistical analysis was conducted on the traditional method and the method of this invention: Table 5 Comparison of Voltage Regulation Performance

[0056] VI. Summary of Beneficial Effects As can be seen from the above embodiments, the present invention has the following significant technical effects compared with the prior art: Significantly reduces voltage fluctuations: The voltage fluctuation range is reduced from 4.5kV to 1.4kV, an improvement of approximately 69%, effectively enhancing the stability of the power grid voltage.

[0057] Effectively suppresses voltage overshoot: the maximum overshoot is reduced from 2.1% to 0.8%, avoiding the risk of overvoltage.

[0058] Improved system response speed: Voltage recovery time was reduced from 120s to 40s, an improvement of approximately 67%.

[0059] Suppressing oscillations: Voltage oscillations are basically eliminated, and the system operates more smoothly.

[0060] Enhanced parameter adaptability: By identifying operating conditions and dynamically matching parameters, the control parameters of the synchronous condenser can be adaptively adjusted according to changes in operating conditions.

[0061] Improve control continuity and robustness: Adopt a smooth transition mechanism to avoid parameter abrupt changes and improve the system's stable operation capability.

[0062] In summary, this invention constructs a typical operating condition feature library and establishes a dynamic mapping relationship between operating conditions and synchronous condenser control parameters, thereby realizing the transformation of synchronous condenser control parameters from a fixed mode to an adaptive mode. In weak power grid environments with frequent changes in renewable energy output and load, this invention can automatically match the optimal control parameter combination according to real-time operating conditions and achieve smooth parameter updates through a continuous adjustment mechanism, thus significantly improving voltage regulation performance and system stability.

[0063] This invention constructs a typical operating condition feature library and innovatively establishes a dynamic mapping mechanism between operating conditions and synchronous condenser control parameters, realizing the transformation of synchronous condenser control parameters from traditional static setting to condition-driven adaptive adjustment. By characterizing the changes in renewable energy output and load, and mapping them to the corresponding control parameter space, the synchronous condenser can match the optimal parameter combination in real time according to different operating scenarios, thereby significantly improving the adaptability of parameters under multiple operating conditions. Compared with existing methods that only tune parameters for a single or a few operating conditions, this invention, for the first time, realizes a dynamic parameter scheduling strategy based on typical operating condition classification, enabling the synchronous condenser to maintain a continuous and stable voltage regulation state during renewable energy fluctuations and continuous load changes, effectively reducing the fluctuation amplitude during voltage response and significantly enhancing the operational stability of remote and weak power grids.

[0064] This invention further constructs a closed-loop control system by designing a real-time feature matching and linkage mechanism for renewable energy output information, load change information, and voltage response information. This system integrates operating condition identification, parameter matching and invocation, and synchronous updates of the control process. As operating conditions continuously evolve, the synchronous condenser control parameters can be updated synchronously with these changes, achieving dynamic consistency between control parameters and system state. This method overcomes the limitations of traditional methods that rely on delayed control parameter adjustments or manual intervention. It innovatively implements a parameter adaptive tracking mechanism for continuously changing operating conditions, significantly improving the synchronous condenser's response sensitivity and regulation continuity in complex operating environments, and further enhancing the stability and robustness of the voltage regulation process.

[0065] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for adaptive adjustment of synchronous condenser control parameters based on operating condition feature matching, characterized in that, Includes the following steps: A typical operating condition feature library is constructed to classify and process the output level of new energy sources, load changes and voltage response characteristics, and generate corresponding synchronous condenser control parameter combinations for different categories of typical operating conditions. Based on the classification results in the typical operating condition feature library, the association processing of various typical operating conditions and corresponding synchronous condenser control parameter combinations is carried out to establish the mapping relationship between controller gain and phase compensation parameters and typical operating conditions, and to form a synchronous condenser control strategy table. During the operation of the synchronous condenser, the power grid operation characteristics are collected, including new energy output information, load change information and voltage response information. The operation characteristics are then processed by feature extraction to form the current operating condition characteristics. The matching process is performed in the typical operating condition feature library using the current operating condition characteristics, and the corresponding combination of synchronous condenser control parameters is determined by combining the synchronous condenser control strategy table. The control parameters of the synchronous condenser are adjusted according to the combination of control parameters obtained by matching processing, so that the control parameters of the synchronous condenser change dynamically with the output of new energy and the load.

2. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 1, characterized in that, The unified processing procedure for expressing operating condition characteristics involves structuring and organizing renewable energy output information, load change information, and voltage response information to form clear operating condition characteristic description data. The steps are as follows: Collect the changes in wind power output and photovoltaic power output from the new energy output information, and sort and process the output data of different types of new energy in chronological order; Extract the load power change and load change direction information from the load change information, and identify the continuous change intervals in the load change process; Record the bus voltage change, voltage fluctuation process, and voltage recovery process in the voltage response information, and perform segmented expression of the voltage change trajectory; Information on new energy output, load changes, and voltage response is converted and linked in a unified format to form operating condition characteristic description data containing multi-dimensional operating features.

3. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 2, characterized in that, To address the differences in the expression processes across various operating scenarios, the characteristics of operating conditions are classified and categorized to form distinctive and typical operating condition categories. The steps are as follows: Organize the process of new energy power output change in the operating condition characteristic description data, and divide the power output change range. Analyze the continuous state of load change during the process and group and label different stages of change; The operating scenarios are classified based on the voltage fluctuation trajectory and recovery process during the voltage response change process; Based on the range of new energy output changes, load change groups, and voltage response change trajectories, several typical operating condition categories are formed and assigned corresponding classification labels.

4. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 3, characterized in that, By combining the changes in operating conditions with the configuration of control parameters, the control parameters of the synchronous condenser are combined to form parameter combination relationships corresponding to different operating conditions. The steps are as follows: Extract the range of new energy output variation in typical operating condition categories, and further subdivide the variation range into intervals; Associate the range of load changes and divide the load change stages to determine the corresponding change range of phase compensation parameters; Based on the voltage fluctuation characteristics in the voltage response change state, the controller gain change trend is configured in segments; The controller gain variation range and the phase compensation parameter variation range are combined and arranged to form the synchronous condenser control parameter combination data.

5. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 4, characterized in that, Based on the correspondence between operating condition characteristics and control parameters, the relevant data is organized and a synchronous condenser control strategy table is formed. The steps are as follows: Summarize the typical operating condition categories and their characteristic descriptions, and organize the characteristics of each type of operating condition in a structured manner. Organize the controller gain change information and phase compensation parameter change information in the control parameter combination of the synchronous condenser, and classify the parameter ranges. Establish the correspondence between operating condition characteristics and control parameter combinations, and form corresponding mapping data; The operating condition category, operating condition characteristic description information, and control parameter combination mapping data are integrated to form a synchronous condenser control strategy table.

6. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 5, characterized in that, The process of organizing characteristic quantities of power grid operation involves correlating information on renewable energy output, load changes, and voltage response to form a characteristic representation of the current operating condition. The steps are as follows: Acquire the output change process data from the new energy power output information, and perform segmented recording and processing of the output change process; Extract the trend data from the load change information and divide the trend into continuous intervals; Organize the voltage change process data in the voltage response information and segment and label the voltage change trajectory; Information on new energy output, load changes, and voltage response is correlated and integrated to form characteristic data of the current operating conditions.

7. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 6, characterized in that, The process of constructing characteristic data of current operating conditions involves refining the correlation between new energy output information, load change information, and voltage response information. The corresponding positions of output change process data, load change trend data, and voltage change process data are matched and combined according to a unified change order to form an operating condition characteristic sequence with a consistent structure.

8. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 6, characterized in that, For the operational condition identification process, the corresponding operational condition category is determined by processing the relationship between the characteristics of the current operational condition and the characteristics of typical operational conditions. The steps are as follows: Read the operating condition feature data from the current operating condition features and organize the feature data in a structured manner; Compare the operating condition feature description information in the typical operating condition feature library and extract the corresponding feature interval data; Perform corresponding matching processing between operating condition characteristics and form operating condition matching relationship data; Based on the operating condition matching relationship data, determine the typical operating condition category corresponding to the current operating condition characteristics.

9. The adaptive adjustment method for phase shifter control parameters based on operating condition feature matching according to claim 8, characterized in that, By combining the relationship between changes in operating conditions and adjustments to control parameters, the control parameters of the synchronous condenser are continuously adjusted to form a parameter change process corresponding to changes in operating conditions. The steps are as follows: Obtain the combination of control parameters for the camera adjuster obtained from the matching process, and then organize the combination of control parameters into a structured form. Extract controller gain variation information from the control parameter combination and divide the variation range; Extract and correlate information on phase compensation parameter changes to form a corresponding relationship between parameter changes; The controller gain and phase compensation parameters are continuously adjusted according to the changes in operating conditions to generate parameter change process data.

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