Remote disturbance test system and method in primary frequency modulation

Abstract

The invention discloses a remote disturbance test system and method in primary frequency modulation, and relates to the technical field of power system control, and the method comprises the steps: obtaining a primary frequency modulation intelligent control system, and configuring a master-slave redundancy control device; generating and verifying a primary frequency modulation test disturbance signal, and triggering a remote disturbance test according to a verification result; the master and slave control devices respectively respond to the test and collect the power grid state signal flow, and analyze and generate a master and slave frequency modulation load instruction; evaluating and screening the master-slave load instructions by using a hardware high-selection module, and determining a target frequency modulation load instruction; and sending the target instruction to the DCS and the DEH for test recording and performance evaluation, and optimizing a frequency modulation strategy according to a test result. The technical problems of low test efficiency and insufficient accuracy caused by system complexity in an existing primary frequency modulation remote disturbance test system are solved, and the technical effects of simplifying the system structure, improving the test efficiency and remarkably enhancing the test accuracy are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of power system control, and in particular to a remote disturbance test system and method in primary frequency modulation. Background Art

[0002] In the power system, thermal power units are the main source of power supply, and their operating stability and regulation capabilities are crucial to the safety and stability of the power grid. However, the existing primary frequency regulation remote disturbance test technology solutions mainly rely on traditional primary frequency regulation homologous devices, analog signals or digital signals, which have problems such as complex systems, low test efficiency, and cumbersome processes, and require a lot of manual intervention, which is difficult to meet the power grid's demand for rapid response. At the same time, the signal transmission and data processing links are susceptible to interference, resulting in insufficient accuracy of the test results, and unable to fully reflect the primary frequency regulation performance of the unit. In addition, the existing solutions are relatively limited in function, lack the ability to record and analyze historical data, and support real-time online queries, making it difficult to effectively cope with complex operating environments and frequency regulation requirements. More seriously, the system is not reliable enough and lacks redundant design. Once the equipment fails, the test work will be interrupted, and it may even have an adverse impact on the safety of the unit's operation. Therefore, in view of the above-mentioned deficiencies in the existing technology, it is particularly urgent to propose improvements.

[0003] In the current related technologies, there are technical problems in the primary frequency modulation remote disturbance test system, such as low test efficiency and insufficient accuracy due to system complexity. Summary of the invention

[0004] The present application solves the technical problems of low test efficiency and insufficient accuracy caused by system complexity in the existing primary frequency modulation remote disturbance test system by providing a remote disturbance test system and method in primary frequency modulation.

[0005] The present application provides a remote disturbance test system in primary frequency modulation, including:

[0006] A primary frequency modulation intelligent control system acquisition module, the primary frequency modulation intelligent control system acquisition module is used to acquire a primary frequency modulation intelligent control system, the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device; a verification and determination module, the verification and determination module is used to analyze and generate a primary frequency modulation test disturbance frequency remote adjustment signal, perform verification and determination on the primary frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal determination result; a signal flow acquisition module, the signal flow acquisition module is used to trigger a remote disturbance test according to the signal determination result, perform a remote disturbance test response based on the main primary frequency modulation control device and the slave primary frequency modulation control device, and simultaneously acquire the main power grid state signal flow and the slave power grid state signal flow. status signal stream; a frequency modulation load instruction generation module, the frequency modulation load instruction generation module is used to perform thermal power unit frequency modulation analysis on the main power grid status signal stream and the slave power grid status signal stream respectively, and generate a main primary frequency modulation load instruction and a slave primary frequency modulation load instruction; a target primary frequency modulation load instruction determination module, the target primary frequency modulation load instruction determination module is used to introduce a hardware high selection module to compare and evaluate the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction, and determine the target primary frequency modulation load instruction; a frequency modulation strategy optimization control module, the frequency modulation strategy optimization control module is used to send the target primary frequency modulation load instruction to DCS and DEH respectively for test recording and performance evaluation, obtain a primary frequency modulation remote disturbance test result, and perform frequency modulation strategy optimization control based on the primary frequency modulation remote disturbance test result.

[0007] The present application provides a remote disturbance test method in primary frequency modulation, comprising:

[0008] Acquire a primary frequency modulation intelligent control system, wherein the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device; analyze and generate a primary frequency modulation test disturbance frequency remote adjustment signal, perform verification and judgment on the primary frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal judgment result; trigger a remote disturbance test according to the signal judgment result, perform remote disturbance test responses based on the main primary frequency modulation control device and the slave primary frequency modulation control device, and simultaneously collect and obtain the main power grid status signal flow and slave grid status signal flow; respectively perform thermal power unit frequency regulation analysis on the main grid status signal flow and the slave grid status signal flow, and generate a main primary frequency regulation load instruction and a slave primary frequency regulation load instruction; introduce a hardware high selection module to compare and evaluate the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction, and determine the target primary frequency regulation load instruction; send the target primary frequency regulation load instruction to DCS and DEH for test recording and performance evaluation, respectively, obtain the primary frequency regulation remote disturbance test result, and perform frequency regulation strategy optimization control based on the primary frequency regulation remote disturbance test result.

[0009] The remote disturbance test system and method in primary frequency modulation proposed in this application are intended to first obtain a primary frequency modulation intelligent control system and configure a master-slave redundant control device; generate and verify a primary frequency modulation test disturbance signal, and trigger a remote disturbance test based on the verification result; respond to the test and collect the power grid status signal stream through the master-slave control device respectively, analyze and generate master-slave frequency modulation load instructions; use the hardware high selection module to evaluate and screen the master-slave load instructions, and determine the target frequency modulation load instructions; send the target instructions to DCS and DEH for test recording and performance evaluation, and optimize the frequency modulation strategy based on the test results, thereby achieving the technical effect of simplifying the system structure, improving test efficiency and significantly enhancing test accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0011] Figure 1 A schematic diagram of the structure of a remote disturbance test system in a primary frequency modulation provided in an embodiment of the present application;

[0012] Figure 2 A schematic flow chart of a remote disturbance test method in primary frequency modulation provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: primary frequency regulation intelligent control system acquisition module 10 , verification and determination module 20 , signal flow acquisition module 30 , frequency regulation load instruction generation module 40 , target primary frequency regulation load instruction determination module 50 , frequency regulation strategy optimization control module 60 . DETAILED DESCRIPTION

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0015] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a remote disturbance test system in a primary frequency modulation, such as Figure 1 As shown, the system comprises:

[0018] A primary frequency modulation intelligent control system acquisition module 10, the primary frequency modulation intelligent control system acquisition module 10 is used to acquire a primary frequency modulation intelligent control system, the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device. Specifically, the primary frequency modulation intelligent control system acquisition module 10 is used to acquire a primary frequency modulation intelligent control system, the system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave control device serves as a redundant backup of the main control device. The main control device undertakes the main frequency modulation tasks, including generating frequency modulation instructions and responding to disturbance test signals, and the slave control device automatically takes over when the main device fails or the performance is abnormal, ensuring the continuity and stability of the system. This master-slave redundancy design not only improves the reliability and fault tolerance of the system, but also ensures the continuous operation of the frequency modulation function. For example, when the main device cannot issue a frequency modulation instruction due to communication interruption, the slave device can quickly generate a frequency modulation instruction based on the real-time acquired power grid signal to avoid frequency fluctuations caused by frequency modulation interruption in the power grid, and further ensure the efficient operation of the frequency modulation system and the safety of the power grid.

[0019] Verification and determination module 20, the verification and determination module 20 is used to analyze and generate a frequency modulation test disturbance frequency remote adjustment signal, verify and determine the frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal determination result. Specifically, the verification and determination module 20 performs a comprehensive analysis and verification on the frequency modulation test disturbance frequency remote adjustment signal to ensure the validity of the test signal. Specifically, it includes: first, evaluating the quality of the signal, confirming its integrity and eliminating data loss or interference; second, comparing the key parameters of the signal with the preset threshold value, such as whether the disturbance amplitude and frequency range meet the standard; then, analyzing the stability of the signal to ensure that the fluctuation of the disturbance signal in the timing meets the stability requirements; in addition, by verifying the source and transmission path of the signal, the authenticity of the signal is judged to avoid the influence of false or forged signals on the test results. Based on these verification steps, the module generates a signal determination result. If the signal quality, threshold, stability and authenticity meet the requirements, the remote adjustment signal is determined to be valid. After determining that the signal is valid, the module triggers the remote disturbance test and sends a frequency modulation load instruction to the target thermal power unit to complete the test task and collect relevant data. For example, when the disturbance amplitude of the telecontrol signal is within the standard range (such as 0.05Hz to 0.2Hz), its stability fluctuation does not exceed ±0.01Hz, and it is transmitted by a trusted source, the signal can be considered valid and used for test operations.

[0020] In a possible implementation, the verification and determination module 20 further includes: an operation characteristic information acquisition unit, the operation characteristic information acquisition unit is used to acquire the operation characteristic information of the target power grid, the operation characteristic information includes the scale of the power grid, the structure of the power grid, the load characteristics and the frequency modulation response capability. Specifically, the main function of the operation characteristic information acquisition unit is to comprehensively collect the operation characteristic information of the target power grid, and provide data support for the subsequent frequency disturbance simulation analysis. Specifically, the unit acquires key parameters including the scale of the power grid, the structure of the power grid, the load characteristics and the frequency modulation response capability through real-time monitoring and historical data analysis. For example, the scale information of the power grid covers the total length of the transmission line, the capacity of the substation and the scope of the power supply area, which can evaluate the coverage capacity of the power grid; the power grid structure reflects the stability and flexibility of the power grid through information such as the number of nodes, the configuration of the trunk line and the ring or radial topology; the load characteristics clarify the impact of load changes on frequency regulation through data such as daily load curves, peak-to-valley load differences and peak power consumption distribution; the frequency modulation response capability evaluates the ability of the power grid to quickly restore frequency through indicators such as the adjustment range, response time and adjustment speed of the generator set. To ensure data accuracy, the acquisition unit integrates real-time monitoring systems (such as SCADA) and intelligent sensors, and combines historical databases for data cross-validation to eliminate abnormal data, such as voltage sag abnormalities caused by acquisition failures. Ultimately, these organized operating characteristic information is output in the form of structured data and charts to guide the design of frequency disturbance signals and the optimization of grid frequency regulation.

[0021] A frequency data acquisition unit, the frequency data acquisition unit is used to perform frequency fluctuation simulation analysis based on the operation characteristic information, and obtain the frequency disturbance range, frequency disturbance amplitude and frequency disturbance duration. Specifically, the frequency data acquisition unit performs frequency fluctuation simulation analysis based on the grid operation characteristic information (such as grid scale, grid structure, load characteristics and frequency regulation response capability), accurately extracts the frequency disturbance range, amplitude and duration, and provides basic support for the subsequent frequency remote regulation signal generation. Specifically, the unit first constructs a mathematical model according to the dynamic characteristics of the grid, for example, in a scenario where the load fluctuates violently, the inertia effect and response delay characteristics are considered; then, by simulating different load scenarios (such as industrial equipment startup or regional power outages), the transient and steady-state changes of the frequency are analyzed to generate simulation results. For example, in a specific scenario, it may be concluded that the frequency disturbance range is 49.8Hz to 50.2Hz, the disturbance amplitude is 0.4Hz, and the duration is 8 seconds. These parameters are filtered and statistically calibrated to improve accuracy, and finally a frequency disturbance parameter list or curve chart is output to guide the subsequent frequency remote regulation signal generation and testing process. Such analysis can not only accurately reflect the operating characteristics of the power grid, but also provide data support for simulating precise frequency regulation disturbance scenarios.

[0022] The frequency disturbance simulation parameter determination unit is used to determine the frequency disturbance simulation parameters according to the frequency disturbance range, the frequency disturbance amplitude and the frequency disturbance duration. Specifically, the frequency disturbance simulation parameter determination unit determines the disturbance simulation parameters for testing by comprehensively analyzing the frequency disturbance range, the disturbance amplitude and the disturbance duration. Specifically, the unit receives the simulation analysis results provided by the frequency data acquisition unit, for example, the frequency disturbance range is 49.7Hz to 50.3Hz, the disturbance amplitude is 0.6Hz, and the disturbance duration is 10 seconds. Based on the above data, the unit further refines the processing, divides the disturbance range into multiple small intervals (such as 49.7-49.9Hz, 49.9-50.1Hz and 50.1-50.3Hz), analyzes the dynamic change curve of the disturbance amplitude from static to the maximum amplitude, and ensures the smoothness of the amplitude increase process. At the same time, the disturbance duration is divided into stages, for example, the first 3 seconds are the frequency rise stage, the middle 4 seconds are the frequency stabilization stage, and the last 3 seconds are the recovery stage. Finally, the unit outputs a set of accurate frequency disturbance simulation parameters, including segmented frequency intervals, dynamic amplitude change curves, and phased disturbance durations, which are used to guide the generation of frequency remote adjustment signals. Detailed parameter settings ensure the accuracy and pertinence of disturbance simulation, providing a solid technical foundation for subsequent tests.

[0023] The frequency remote adjustment signal generating unit is used to set the signal generator parameters based on the frequency disturbance simulation parameters to generate the frequency remote adjustment signal of the primary frequency modulation test disturbance. Specifically, the frequency remote adjustment signal generating unit completes the parameter configuration of the signal generator by parsing the frequency disturbance simulation parameters, thereby generating a frequency remote adjustment signal of the primary frequency modulation test disturbance that meets the test requirements. Specifically, the unit first receives and parses key parameters such as the frequency disturbance range, disturbance amplitude and disturbance duration, for example, the frequency disturbance range is 49.7Hz to 50.3Hz, the disturbance amplitude is 0.6Hz, and the disturbance duration is 10 seconds. Subsequently, the unit accurately sets the core parameters of the signal generator, including the starting frequency, target frequency, change rate and disturbance time window, to ensure that the generated signal can accurately reflect the test requirements. For example, the starting frequency is set to 50Hz, the target frequency is the change value within the disturbance range, the change rate is increased or decreased by 0.1Hz per second, and the duration is 10 seconds. The generated signal presents a complete disturbance curve. After the signal is generated, it is transmitted to the relevant test module through the output interface, and the signal quality, stability and authenticity are verified. If the signal meets the requirements, it is used to trigger the remote disturbance test; if it does not meet the requirements, the parameters are readjusted to generate the signal. Through this process, the generated disturbance signal is ensured to be accurate and stable, providing reliable input support for subsequent tests.

[0024] The signal flow acquisition module 30 is used to trigger the remote disturbance test according to the signal judgment result, and perform the remote disturbance test response based on the main primary frequency modulation control device and the slave primary frequency modulation control device, and simultaneously collect and obtain the main power grid state signal flow and the slave power grid state signal flow. Specifically, the signal flow acquisition module 30 is used to trigger the remote disturbance test according to the signal judgment result, and collect the state signal flow of the main power grid and the slave power grid in real time, and provide high-quality data to support frequency modulation performance analysis and optimization. Specifically, after completing the verification of the primary frequency modulation test disturbance frequency remote modulation signal, if the signal meets the judgment conditions of quality, stability and authenticity, the module sends a trigger instruction to the main primary frequency modulation control device and the slave primary frequency modulation control device to start the remote disturbance test. During the test, the main device performs the frequency modulation operation as the core device, and the slave device responds synchronously, serving as a redundant backup and verifying the operation results of the main device to ensure the reliability of the test. The signal stream acquisition module records the main grid status signal stream and the slave grid status signal stream in real time, such as key parameters such as frequency change, voltage fluctuation, power regulation, etc., captures the dynamic response of the test disturbance, and transmits it to the data processing unit through a high-precision data interface, while storing the original data for subsequent analysis. Through this mechanism, not only the synchronous operation of remote disturbance testing is achieved, but also comprehensive and accurate data is accumulated, laying a solid foundation for the evaluation of grid frequency regulation performance and strategy optimization. For example, during the acquisition process, if the main grid signal stream records the characteristics of short frequency recovery time and controlled fluctuation amplitude, these data will be directly used to verify whether the frequency regulation performance meets the set target.

[0025] The frequency regulation load instruction generation module 40 is used to perform frequency regulation analysis of the thermal power unit on the main power grid state signal stream and the slave power grid state signal stream, respectively, and generate the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction. Specifically, the frequency regulation load instruction generation module 40 analyzes the frequency regulation characteristics of the thermal power unit based on the main power grid state signal stream and the slave power grid state signal stream, and generates the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction. Specifically, the frequency regulation load instruction generation module 40 first receives and processes the state signal streams of the main power grid and the slave power grid, and the signal streams are filtered and standardized to ensure the accuracy and consistency of the data. Then, the frequency regulation strategy analysis model of the thermal power unit is used to perform real-time analysis on key characteristics such as frequency fluctuations and load changes in the signal stream to identify the dynamic operation state of the power grid. Based on this analysis result, the frequency regulation load instruction generation module 40 calculates the frequency regulation instructions of the main power grid and the slave power grid in parallel, wherein the main primary frequency regulation load instruction is directly used to control the main frequency regulation device and perform the core frequency regulation task, and the slave primary frequency regulation load instruction is used as a redundant standby instruction to take over the frequency regulation work when the main device fails or the performance is insufficient. For example, when the grid frequency drops, the main load instruction may require the thermal power unit to increase the output power, while the slave load instruction is prepared synchronously to ensure the stability of the system. This dual instruction mechanism not only improves the efficiency of frequency regulation instruction generation, but also enhances the reliability and flexibility of the grid frequency regulation system, and provides strong support for real-time response to complex grid dynamics.

[0026] In a possible implementation, the frequency modulation load instruction generation module 40 further includes: a grid state signal stream acquisition unit, the grid state signal stream acquisition unit is used to filter and preprocess the main grid state signal stream and the slave grid state signal stream to obtain an available main grid state signal stream and an available slave grid state signal stream. Specifically, the main function of the grid state signal stream acquisition unit is to filter and preprocess the main grid state signal stream and the slave grid state signal stream to generate an available signal stream to ensure the accuracy and stability of the signal data. First, the unit receives the original signal stream, which may be affected by electromagnetic interference, equipment failure, etc., and contains a large amount of noise and invalid data. Through the noise detection algorithm, the unit can identify abnormal fluctuations in the signal, such as typical noise characteristics such as abnormal amplitude or frequency distortion. Subsequently, using filtering techniques such as low-pass filters or Kalman filters, the unit processes the signal to eliminate noise interference and retain effective signal characteristics. For example, when the grid load fluctuates violently, the original signal may contain high-frequency noise, making it difficult to distinguish the actual load change. After filtering by this unit, the interference components in the signal are effectively eliminated, and the real load change information is retained, and the output is a high-quality available main grid status signal stream and available slave grid status signal stream. The above processing method not only improves the accuracy of signal data, but also lays a reliable foundation for subsequent frequency modulation analysis, significantly enhancing the stability and fault tolerance of the system.

[0027] The signal stream conversion unit performs standardized conversion on the available main grid state signal stream and the available slave grid state signal stream to obtain a standard main grid state signal stream and a standard slave grid state signal stream. Specifically, the signal stream conversion unit performs standardized processing on the filtered main grid state signal stream and the slave grid state signal stream to unify the scale and distribution of the signal and ensure the accuracy and consistency of subsequent analysis. Specifically, the unit first receives the available signal stream and uses a standardized algorithm (such as minimum-maximum normalization or Z-score standardization) to map signals from different sources to a unified range or distribution. For example, for frequency signals, Z-score standardization converts the original signal value into a standard distribution with zero mean and unit standard deviation, thereby eliminating the analysis deviation caused by dimensional differences between signals. Through the above processing, the main grid signal (such as a frequency fluctuation range of 50±0.2Hz) and the slave grid signal (such as a voltage fluctuation range of 220±5V) can be compared and analyzed in the same framework. Standardization processing not only makes the signal stream uniform, but also reduces the impact of errors on the analysis results, and improves the accuracy and reliability of frequency modulation analysis. Finally, the signal stream conversion unit outputs the standardized main grid status signal stream and slave grid status signal stream, providing a high-quality data basis for subsequent frequency regulation operations and analysis.

[0028] The analysis model generation unit is used to analyze the frequency regulation characteristics of the target thermal power unit and generate a frequency regulation strategy analysis model for the unit. Specifically, the analysis model generation unit is responsible for systematically analyzing the frequency regulation characteristics of the target thermal power unit to generate a strategy model suitable for optimizing frequency regulation control. First, the unit collects the thermodynamic characteristics (such as dynamic changes in steam flow and pressure), mechanical characteristics (such as speed fluctuation range, inertia response), and control system characteristics (such as PID control parameters, response time) of the target unit to provide detailed data for subsequent analysis. For example, in a 300MW unit, its frequency regulation response time and frequency stability are recorded. Subsequently, the key parameters of frequency regulation, such as frequency regulation response speed, steady-state error, and dynamic characteristic curves of load changes, are extracted through frequency domain analysis and time domain analysis. The above data are used to construct a frequency regulation physical model, and mathematical equations are used to describe the interactive dynamics of thermodynamics, mechanics, and control systems during the frequency regulation process. Further combined with the historical frequency regulation data set of the unit, the supervised learning algorithm is used to optimize the key parameters of the model, such as the correction capability of response time and frequency deviation, to ensure that the model reflects the actual frequency regulation characteristics of the unit. Finally, the unit generates a frequency regulation strategy analysis model that combines physical characteristics and data-driven, and verifies its applicability through simulation tests, such as predicting the frequency response time under scenarios of rapid load changes, thereby guiding actual operations and improving the frequency regulation performance and operating efficiency of the unit.

[0029] A parallel frequency modulation operation unit, the parallel frequency modulation operation unit is used to perform parallel frequency modulation operations on the standard main grid state signal flow and the standard slave grid state signal flow respectively based on the unit frequency modulation strategy analysis model, and generate the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction. Specifically, the parallel frequency modulation operation unit receives the main grid state signal flow and the slave grid state signal flow after standardization, and performs parallel frequency modulation operations respectively based on the unit frequency modulation strategy analysis model to generate the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction. The unit first performs shunting processing on the standardized signal flow, and uses the frequency modulation strategy analysis model to extract key parameters such as frequency deviation, load change rate, etc., and dynamically optimizes the characteristics of the target thermal power unit. The model adjusts the focus parameters according to the actual situation, for example, the frequency compensation value is calculated preferentially in the main signal flow, and the consistency of the redundant response is verified in the slave signal flow. Subsequently, the two groups of signal flows are independently calculated using a parallel architecture to generate their respective primary frequency modulation load instructions. These instructions can directly guide the frequency modulation operations of the main control device and the slave control device, ensuring that the slave control device can take over in time when the main control device fails. Through this process, the parallel frequency modulation operation unit realizes fast and efficient generation of primary frequency modulation load instructions, providing real-time and reliable support for power grid frequency control. For example, when the frequency deviation is significant, the unit can respond to generate frequency modulation instructions within milliseconds to ensure the stable operation of the power grid.

[0030] In a possible implementation, the power grid state signal stream acquisition unit further includes: a noise data identification subunit, which is used to identify the noise data of the main power grid state signal stream and the slave power grid state signal stream, and obtain the main signal noise data and the slave signal noise data. Specifically, the noise data identification subunit monitors and identifies the noise in the main power grid state signal stream and the slave power grid state signal stream in real time through a high-precision algorithm to ensure the accuracy of subsequent signal processing. The subunit first performs preliminary preprocessing on the signal stream, such as removing the basic DC component and normalization operation, so as to more accurately extract the noise characteristics. Subsequently, the system uses indicators such as frequency characteristics, amplitude characteristics and time domain characteristics to identify abnormal signals, such as detecting frequency offset, high-frequency spikes or amplitude surges. When the signal amplitude exceeds the normal range or sudden high-frequency interference occurs, the subunit will mark the abnormal signal as noise data through a dynamic threshold algorithm and separate it from the normal signal. Finally, the system outputs noise data containing noise frequency, amplitude and time distribution information, providing an accurate basis for subsequent filter selection and characteristic analysis. For example, in actual operation, when short-term high-frequency noise appears in the main power grid signal flow due to equipment interference, the subunit can detect and mark the abnormal signal within 0.2 seconds and accurately separate the noise part, thus laying the foundation for subsequent optimization processing.

[0031] The signal noise characteristic information acquisition subunit is used to perform characteristic analysis on the main signal noise data and the slave signal noise data to obtain the main signal noise characteristic information and the slave signal noise characteristic information. Specifically, the signal noise characteristic information acquisition subunit extracts and generates key characteristic information of the main signal noise data and the slave signal noise data through in-depth analysis, so as to provide support for subsequent signal processing. Specifically, the subunit first uses the fast Fourier transform (FFT) to perform spectrum analysis on the noise data to identify its frequency distribution and main interference components. For example, the main signal may contain 50Hz fundamental wave interference, while the slave signal may present random high-frequency noise. At the same time, the subunit calculates the statistical characteristics of the noise such as mean, variance, peak value in the time domain to determine the amplitude change trend and time distribution characteristics of the noise, such as long-term low-frequency drift or instantaneous high-amplitude spikes. Furthermore, by cross-comparing the noise data of the main signal and the slave signal, the subunit can identify the synchronization or phase relationship of the noise and reveal the source and propagation path of the noise. In addition, based on the analysis results, the sub-unit classifies and labels the noise, such as classifying periodic interference, high-frequency random noise or transient operation noise, and generates a set of structured noise characteristic information data sets. For example, in practical applications, the sub-unit can detect the amplitude variation range of periodic 50Hz noise in the master signal, and at the same time discover the high-frequency spike noise characteristics in the slave signal, thus providing an accurate basis for subsequent filter selection and signal optimization strategies.

[0032] The signal filter selection subunit is used to select the main signal filter and the slave signal filter according to the main signal noise characteristic information and the slave signal noise characteristic information. Specifically, the signal filter selection subunit accurately matches the appropriate filter by analyzing the main signal noise characteristic information and the slave signal noise characteristic information to effectively remove the noise and retain the useful components of the signal. First, the subunit reads the frequency range, amplitude, phase characteristics and other information of the noise. For example, there may be low-frequency periodic noise in the main signal, and the slave signal may be affected by high-frequency spike interference. Subsequently, the subunit determines the filtering target according to the noise characteristics, such as eliminating the 50Hz power frequency interference in the main signal or the random high-frequency spike noise in the slave signal, while ensuring that the impact on the useful signal is minimized. According to different noise types, the subunit matches the appropriate filter from the filter library, such as a low-pass filter with a cutoff frequency of 45Hz can be selected for low-frequency noise, and a high-pass filter or a band-pass filter can be selected for high-frequency interference. After selecting the filter, the subunit verifies its filtering effect through simulation to ensure that it can effectively suppress noise and retain the key components of the signal. Finally, the selected filter configuration is deployed to the signal processing module, for example, periodic noise in the main signal is removed by a low-pass filter, and spike interference from the signal is removed by a high-pass filter, thereby providing high-quality, low-interference signal input for subsequent analysis.

[0033] The grid state signal stream acquisition subunit is used to use the main signal filter and the slave signal filter to filter and preprocess the main grid state signal stream and the slave grid state signal stream respectively, and obtain the available main grid state signal stream and the available slave grid state signal stream. Specifically, the main function of the grid state signal stream acquisition subunit is to improve the signal quality through filtering preprocessing and extract the available main grid state signal stream and the slave grid state signal stream. First, the unprocessed signal stream is received, and the signal may be interfered by various noises, such as power frequency interference, high-frequency spikes or low-frequency drift. According to the main signal filter and the slave signal filter selected by the preamble module, suitable filtering strategies are respectively adopted according to the signal characteristics, such as low-frequency drift is processed by a high-pass filter, and high-frequency spikes are removed by a low-pass filter. During the filtering process, the system dynamically adjusts the filtering parameters to ensure that the key features of the signal are retained while suppressing noise. The filtered signal will be evaluated for quality to verify whether it achieves the expected effect, such as whether the noise amplitude is lower than the set threshold and whether the signal waveform is stable and clear. If the filtering effect does not meet the standard, the system will readjust the parameters and repeat the process. The final output signal stream has a higher signal-to-noise ratio and stability. For example, the background noise of the main signal stream is removed, the amplitude fluctuation is reduced, the spike interference of the slave signal stream is effectively eliminated, and the waveform is clearer. The optimized signal stream provides a reliable data basis for subsequent frequency modulation analysis and load command generation, ensuring the accuracy and response efficiency of the frequency modulation system, such as improving the accuracy and real-time performance of load commands in thermal power unit frequency modulation applications.

[0034] In a possible implementation, the analysis model generation unit further includes: a physical property information acquisition subunit, which is used to perform physical property analysis on the target thermal power unit to obtain physical property information of the thermal power unit, and the physical property information of the thermal power unit includes thermodynamic properties, mechanical properties and control system properties. Specifically, the physical property information acquisition subunit generates basic data supporting frequency modulation optimization by comprehensively analyzing the multi-dimensional physical properties of the target thermal power unit. Specifically, it includes thermodynamic property analysis, evaluating the changing rules of steam pressure, temperature and flow under different load conditions, such as the response time of steam pressure with load increase; mechanical property analysis, focusing on the inertial characteristics and mechanical load capacity of the rotor, and the influence of the bearing operating state on stability, such as the dynamic response of the rotor under frequent frequency modulation; control system property analysis, evaluating the response rate, signal delay and regulation accuracy of the control system, such as the time delay from the command to the execution is about 1.5 seconds. By integrating the above analysis results, the subunit generates comprehensive physical property information including thermodynamic, mechanical and control system characteristics, providing reliable data support for subsequent unit frequency modulation strategy modeling and optimization. For example, during the analysis process, it was found that the steam temperature lags when the load increases to 80%, which may indicate the need for further optimization of the heat exchange system.

[0035] The frequency regulation physical model construction subunit is used to establish the unit frequency regulation physical model according to the physical characteristic information of the thermal power unit. Specifically, the frequency regulation physical model construction subunit establishes a physical model that accurately reflects the frequency regulation characteristics by using the physical characteristic information of the thermal power unit. The model integrates thermodynamic characteristics, mechanical characteristics and control system characteristics. The thermodynamic characteristics part describes the dynamic relationship between the unit's steam pressure, temperature and load changes. For example, when the load increases, the dynamic change trend of the steam pressure is quantified and simulated; the mechanical characteristics part quantifies the influence of the rotor's inertia moment on the frequency regulation ability by analyzing the rotor inertia response. For example, when the grid frequency fluctuates, the model can predict the contribution of the rotor inertia to the frequency recovery; the control system characteristics part focuses on the modeling of the regulation speed, signal delay and control accuracy. For example, the model can quantify the influence of the time delay from signal reception to execution on the dynamic response of the system. By integrating the above characteristics into a mathematical model, the subunit can simulate the frequency regulation response of the unit under different load conditions and provide reliable theoretical support for optimizing the frequency regulation strategy. For example, in the simulation, the accuracy of the model is verified by testing the relationship between steam flow and frequency changes under different load increases and decreases, ultimately ensuring its high applicability to actual operating conditions.

[0036] The unit frequency regulation control model acquisition subunit is used to collect and obtain the historical frequency regulation data set of the thermal power unit, and perform labeling supervision training based on the historical frequency regulation data set of the thermal power unit to obtain the unit frequency regulation control model. Specifically, the unit frequency regulation control model acquisition subunit establishes a control model that can accurately reflect the unit frequency regulation characteristics by collecting the historical frequency regulation data of the thermal power unit. First, the subunit extracts key operating data related to frequency regulation from the historical data set, including frequency regulation instructions, actual power response, frequency fluctuation amplitude and load change. For example, in a certain frequency regulation, the response behavior of the unit increasing the output by 10MW within 10 seconds when the frequency drops by 0.3Hz is recorded. Then, the extracted data is preprocessed and labeled to clarify the association between the data and the frequency regulation performance, for example, which data are labeled as fast response, delayed response or invalid response to ensure data quality. Subsequently, a machine learning algorithm is used to supervise the labeled data and optimize the model parameters so that it can accurately predict the response of the unit under different frequency regulation conditions. For example, the trained model can predict that when the frequency drops by 0.2Hz, the unit needs to adjust its output within 3 seconds to meet the grid stability requirements. Ultimately, the generated frequency regulation control model can not only support the precise response of real-time frequency regulation instructions, but also provide data-driven technical support for the unit to optimize the frequency regulation strategy, effectively improving the accuracy and efficiency of frequency regulation.

[0037] A hybrid tuning subunit, the hybrid tuning subunit is used to perform hybrid tuning on the unit frequency regulation physical model and the unit frequency regulation control model to generate a unit frequency regulation strategy analysis model. Specifically, the hybrid tuning subunit generates an accurate unit frequency regulation strategy analysis model by comprehensively analyzing the unit frequency regulation physical model and the unit frequency regulation control model. Specifically, the subunit first receives the core parameters of the physical model and the control model. The former describes the dynamic response of the unit in the frequency regulation process based on the thermodynamic characteristics, mechanical characteristics and control system characteristics of the thermal power unit; the latter reflects the response law of the unit in actual operation based on the supervised learning of historical frequency regulation data. Then, by matching the key parameters of the two models, such as the influence of the steam valve opening on power adjustment and the actual response speed range, ensure that the two are coordinated and consistent. Subsequently, the subunit adopts a hybrid tuning algorithm to jointly optimize the model in combination with actual operating conditions, and adjusts the key parameters to achieve a balance between fast response and stable operation, such as optimizing the speed of valve opening adjustment to reduce power fluctuations. During this process, the subunit verifies the optimization effect through simulation tests, such as simulating the power increase rate and stability under the frequency reduction scenario, and further corrects the model parameters. The frequency regulation strategy analysis model finally output has both the high accuracy of the physical model and the real-time adaptability of the control model, which can effectively guide the frequency regulation operation of thermal power units under complex working conditions and achieve efficient and stable frequency control.

[0038] The target primary frequency modulation load instruction determination module 50 is used to introduce a hardware high selection module to compare and evaluate the primary frequency modulation load instruction and the secondary frequency modulation load instruction, and determine the target primary frequency modulation load instruction. Specifically, the target primary frequency modulation load instruction determination module 50 compares and evaluates the load instructions generated by the primary frequency modulation control device and the secondary frequency modulation control device by introducing a hardware high selection module. First, the module receives the main load instruction and the secondary load instruction, and passes them to the hardware high selection module for analysis. In the hardware high selection module, based on the preset evaluation logic, such as response time, signal quality, stability and fault tolerance, the two groups of instructions are compared item by item. For example, when the main load instruction is better than the secondary load instruction in response speed, and the secondary load instruction performs better in signal stability, the module scores by comprehensive weight, and finally selects the instruction with the best performance as the target primary frequency modulation load instruction. The determined target instruction is passed to the downstream system to guide the implementation of subsequent frequency modulation strategies to ensure the efficiency and reliability of frequency modulation response.

[0039] In a possible implementation, the target primary frequency modulation load instruction determination module 50 further includes: a frequency modulation evaluation factor information acquisition unit, the frequency modulation evaluation factor information acquisition unit is used to obtain frequency modulation evaluation factor information according to the hardware high selection module, and the frequency modulation evaluation factor information includes frequency comparison, signal quality, time responsiveness and troubleshooting. Specifically, the frequency modulation evaluation factor information acquisition unit extracts frequency modulation evaluation information through the hardware high selection module, mainly including frequency comparison, signal quality, time responsiveness and troubleshooting. First, the unit compares the frequencies of the master and slave signals, detects whether there are abnormal signals with excessive frequency deviation, and marks them with low priority. Secondly, the signal quality is monitored, and problems that may affect the reliability of the signal, such as fluctuations or packet loss of the main signal, are identified by analyzing the strength and stability of the signal. The time responsiveness evaluation is performed by measuring the delay from the generation of the signal to the transmission to the high selection module, and the signal with faster response speed is preferentially selected. When the signal source fails or the signal quality is continuously poor, the troubleshooting mechanism is automatically started. For example, when the main signal is interrupted due to equipment failure, the system will switch to a slave signal with good health to ensure the continuity and stability of the frequency modulation process. Finally, the unit conducts a comprehensive weight evaluation of the above factors and passes the results to the frequency modulation high selection evaluation logic construction unit to further optimize the determination of the frequency modulation instructions.

[0040] A frequency modulation high selection evaluation logic construction unit, the frequency modulation high selection evaluation logic construction unit is used to construct a frequency modulation high selection evaluation logic based on the frequency modulation evaluation factor information. Specifically, the frequency modulation high selection evaluation logic construction unit establishes a scientific and reasonable high selection evaluation logic through a comprehensive analysis of the frequency modulation evaluation factor information to ensure that the selection of the frequency modulation instruction is more efficient and reliable. First, the unit receives frequency modulation evaluation factor information such as frequency comparison, signal quality, time responsiveness, and troubleshooting, and prioritizes these factors according to their importance. For example, frequency comparison and signal quality usually have higher priorities in the frequency modulation process, while time responsiveness plays a key role in certain specific scenarios. Based on the priority, the unit constructs a logical relationship so that high priority factors occupy a greater weight in the evaluation, while low priority factors serve as auxiliary decision-making basis. In particular, when the troubleshooting finds that a certain signal source has a continuous poor quality or a fault, the unit will automatically exclude it and switch to other alternative signals to ensure the stable operation of the system. For example, when the frequency deviation of the main signal source meets the requirements but the signal quality is poor, the system will comprehensively consider the time responsiveness and fault information to give priority to a more reliable alternative signal source. Through the construction of the frequency modulation high selection evaluation logic, the frequency modulation high selection evaluation logic can minimize the risk of misjudgment and provide precise support for the generation of subsequent target primary frequency modulation load instructions.

[0041] The target primary frequency modulation load instruction determination unit is used to compare and evaluate the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction based on the frequency modulation high selection evaluation logic to determine the target primary frequency modulation load instruction. Specifically, the target primary frequency modulation load instruction determination unit compares and evaluates the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction, and finally determines the optimal target primary frequency modulation load instruction. The core is to comprehensively analyze the input instruction signal from multiple dimensions based on the frequency modulation high selection evaluation logic, such as frequency comparison, signal quality, time responsiveness, etc. When there are significant differences in signal quality and time responsiveness, the unit gives priority to the instruction with higher signal quality and faster response as the target instruction. For example, when the frequency deviation of the main instruction signal is smaller and the signal quality is stable, and the slave instruction signal is interfered or delayed, the system will give priority to the main instruction as the target. In addition, if a signal source has a continuous poor signal quality due to a fault, the target primary frequency modulation load instruction determination unit will automatically switch to another signal source to ensure the reliability of the instruction. Through the above mechanism, the unit effectively improves the accuracy and stability of the target load instructions, laying a solid foundation for subsequent frequency modulation control and testing.

[0042] In a possible implementation, the frequency modulation high selection evaluation logic construction unit further includes: a priority analysis subunit, the priority analysis subunit is used to perform priority analysis on each evaluation factor in the frequency modulation evaluation factor information to obtain the priority of the frequency modulation evaluation factor. Specifically, the function of the priority analysis subunit is to perform importance analysis on each evaluation factor in the frequency modulation evaluation factor information to determine its priority in the frequency modulation high selection evaluation logic. First, the subunit extracts key factors from the frequency modulation evaluation factor information, such as frequency comparison, signal quality, time responsiveness and troubleshooting, which reflect the performance of the frequency modulation signal in the dimensions of frequency accuracy, signal stability, response speed and signal source reliability. For example, frequency comparison is used to measure the accuracy of the frequency modulation signal, signal quality reflects the anti-interference ability of the signal, time responsiveness indicates the ability of the signal to respond quickly to changes in the power grid, and troubleshooting focuses on whether the signal source is reliable. Subsequently, the system quantitatively analyzes these factors based on the importance weight setting of the actual scenario. For example, in a scenario with high requirements for power grid stability, frequency comparison may be given a higher weight. After completing the weight calculation, the subunit generates a priority list arranged from high to low in importance, for example, the priority may be frequency comparison > signal quality > time responsiveness > fault detection. Through priority analysis, the system ensures that key factors are given priority in the subsequent frequency regulation logic sorting, thereby improving the efficiency and accuracy of frequency regulation instruction selection and effectively meeting the power grid frequency regulation needs.

[0043] A logic sorting subunit, the logic sorting subunit is used to logically sort the frequency modulation evaluation factor information based on the frequency modulation evaluation factor priority, and construct the frequency modulation high selection evaluation logic. Specifically, the logic sorting subunit constructs the frequency modulation high selection evaluation logic by systematically sorting the analysis results of the frequency modulation evaluation factor priority. Specifically, the subunit receives the list from the priority analysis subunit, and hierarchically and logically arranges the frequency modulation evaluation factors (such as frequency comparison, signal quality, time responsiveness and troubleshooting) according to their importance. In the sorting process, frequency comparison is given priority to ensure that the frequency deviation meets the standard; signal quality follows closely to eliminate interference signals; time responsiveness is to meet the needs of fast frequency modulation by limiting the maximum response time; troubleshooting is set as a backup logic, and if the main signal fails or the signal quality is continuously poor, it automatically switches to the backup signal source. Finally, the unit generates a frequency modulation high selection evaluation logic tree, which reasonably connects all evaluation factors according to priority, ensures that key parameters are processed first, and secondary parameters are evaluated after the basic conditions are met. This process optimizes the selection path of frequency modulation instructions, improves the system's operating efficiency and evaluation accuracy, and adapts to the complex frequency modulation requirements of the power grid.

[0044] The frequency modulation strategy optimization control module 60 is used to send the target primary frequency modulation load instruction to the DCS and DEH for test recording and performance evaluation, obtain the primary frequency modulation remote disturbance test results, and perform frequency modulation strategy optimization control based on the primary frequency modulation remote disturbance test results. Specifically, the frequency modulation strategy optimization control module 60 is mainly responsible for sending the target primary frequency modulation load instruction to the DCS (distributed control system) and DEH (digital electro-hydraulic regulation system) respectively, test recording and performance evaluation of the thermal power unit, and generating the primary frequency modulation remote disturbance test results. During the execution process, the module records key indicators including frequency response speed, frequency modulation accuracy, and load variation range through DCS and DEH, and comprehensively evaluates the execution effect of the frequency modulation instruction. Based on the test results, the module further analyzes potential problems in the frequency modulation response, such as response delay or uneven load distribution, and extracts key factors affecting frequency modulation performance through data analysis, and proposes optimization strategies, such as improving load distribution logic or optimizing frequency modulation parameters. Finally, the module applies the optimized strategy to the frequency regulation logic configuration of the thermal power unit, improving the frequency regulation response efficiency and stability of the unit and ensuring that it can efficiently meet the grid frequency control requirements.

[0045] In a possible implementation, the frequency regulation strategy optimization control module 60 further includes: a frequency regulation test record sending unit, which is used to send the target primary frequency regulation load instruction to the DCS and DEH for frequency regulation test record, and obtain the unit frequency regulation test data stream. Specifically, the frequency regulation test record sending unit is responsible for sending the target primary frequency regulation load instruction to the DCS (distributed control system) and DEH (digital electro-hydraulic regulation system) respectively, and recording the key data streams of the thermal power unit in the process of executing the frequency regulation instruction, including detailed information such as frequency response speed, load regulation range, regulation accuracy and response time. These data streams provide basic support for the multi-dimensional performance evaluation unit. The multi-dimensional performance evaluation unit conducts an in-depth analysis of the collected data based on the frequency regulation performance evaluation index set, covering multiple aspects such as frequency response speed, load tracking capability, regulation accuracy and dynamic adjustment efficiency. By comprehensively evaluating these indicators, the unit can accurately identify the shortcomings or potential problems in the frequency regulation process and quantify the execution effect of the frequency regulation strategy. This method, which combines precise data collection with comprehensive performance analysis, ensures the scientific nature and reliability of the test results, and provides a solid basis for the subsequent optimization of frequency modulation strategies.

[0046] A multidimensional performance evaluation unit, the multidimensional performance evaluation unit is used to obtain a frequency regulation performance evaluation index set, and based on the frequency regulation performance evaluation index set, the frequency regulation test data stream of the unit is multidimensionally evaluated to obtain the primary frequency regulation remote disturbance test result. Specifically, the core function of the multidimensional performance evaluation unit is to analyze the frequency regulation test data stream of the unit and perform a comprehensive multidimensional performance evaluation based on the set frequency regulation performance evaluation index set. These evaluation indicators usually include the accuracy of frequency response, regulation stability, response time, and load tracking accuracy. Specifically, the frequency regulation test data stream received by the unit contains real-time grid response data of the unit when executing a primary frequency regulation load instruction. The evaluation unit first evaluates each indicator separately, such as measuring the frequency regulation response time to ensure that the unit completes the load regulation within the set time; analyzing the frequency fluctuation amplitude to ensure that the frequency fluctuation of the unit is within the allowable range; at the same time, checking the accuracy of the load tracking of the unit during the regulation process to verify the frequency regulation accuracy. Finally, through the analysis of these multiple dimensions, the evaluation unit outputs the primary frequency regulation remote disturbance test result, and the result reflects in detail the actual performance of the unit under disturbance conditions. Through comprehensive evaluation, the advantages and disadvantages of the unit frequency regulation can be clarified, providing accurate decision-making basis for further optimizing the frequency regulation strategy and improving the unit's regulation capability in a complex power grid environment.

[0047] In a possible implementation, the frequency modulation strategy optimization control module 60 further includes: a frequency modulation strategy optimization analysis unit, which is used to perform frequency modulation strategy optimization analysis based on the result of the primary frequency modulation remote disturbance test to obtain multiple frequency modulation control optimization strategies. Specifically, the main task of the frequency modulation strategy optimization analysis unit is to perform optimization analysis of the frequency modulation strategy based on the result of the primary frequency modulation remote disturbance test to generate multiple frequency modulation control optimization strategies. First, the unit takes the unit frequency modulation response data collected from the remote disturbance test as input, including key performance indicators such as frequency response time, adjustment amplitude, error, etc. By performing a detailed analysis of these data, the optimization analysis unit can identify the main factors affecting the frequency modulation effect of the unit, such as the speed and accuracy of the frequency modulation response and its performance under different load conditions. Then, based on these analysis results, a variety of optimization strategies are generated, each of which aims to improve the performance of the unit when facing different types of disturbances. For example, some strategies may focus on improving the response speed under high load conditions, while others may focus more on adjustment accuracy and stability under low load conditions. Through this method, the frequency regulation strategy optimization analysis unit provides a variety of options for subsequent frequency regulation control decisions, ensuring that the most appropriate frequency regulation control strategy can be implemented according to the different operating conditions and frequency change requirements of the power grid, thereby improving the frequency stability and system responsiveness of the power grid.

[0048] The frequency control optimization strategy determination unit is used to simulate and evaluate the multiple frequency control optimization strategies, determine the target frequency control optimization strategy, and perform unit frequency optimization control based on the target frequency control optimization strategy. Specifically, the frequency control optimization strategy determination unit determines the best target frequency control optimization strategy based on multiple frequency control optimization strategies through simulation and evaluation comparison. The specific process includes: first, the system simulates and tests multiple frequency optimization strategies, and the test scenarios involve different grid load changes, frequency fluctuations and other factors. In each test, the system quantitatively evaluates the performance of each strategy, focusing on key performance indicators such as frequency regulation accuracy, response time, and frequency stability. Through these simulation results, the system scores each strategy and evaluates its adaptability under different working conditions. Then, these evaluation results are compared and analyzed to select the optimal frequency control strategy. This strategy is used as the target frequency optimization strategy and is sent to the unit through the frequency control system command to optimize its frequency response behavior. Ultimately, the optimized frequency regulation strategy can improve the unit's response speed and accuracy to grid frequency fluctuations, and enhance the frequency stability and operational safety of the grid.

[0049] The embodiment of the present application adopts the method of obtaining a primary frequency modulation intelligent control system and configuring a master-slave redundant control device; generating and verifying a primary frequency modulation test disturbance signal, and triggering a remote disturbance test according to the verification result; respectively responding to the test and collecting the power grid status signal stream through the master-slave control device, analyzing and generating the master-slave frequency modulation load instruction; using the hardware high selection module to evaluate and screen the master-slave load instruction, and determining the target frequency modulation load instruction; sending the target instruction to the DCS and DEH for test recording and performance evaluation, and optimizing the frequency modulation strategy according to the test results, thereby achieving the technical effect of simplifying the system structure, improving the test efficiency and significantly enhancing the test accuracy.

[0050] In the above, refer to Figure 1 The remote disturbance test system in the primary frequency modulation according to the embodiment of the present invention is described in detail. Figure 2 A remote disturbance test method in primary frequency modulation according to an embodiment of the present invention is described.

[0051] Remote disturbance test method in primary frequency modulation, such as Figure 2 As shown, the method includes:

[0052] Acquire a primary frequency modulation intelligent control system, wherein the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device; analyze and generate a primary frequency modulation test disturbance frequency remote adjustment signal, perform verification and judgment on the primary frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal judgment result; trigger a remote disturbance test according to the signal judgment result, perform remote disturbance test responses based on the main primary frequency modulation control device and the slave primary frequency modulation control device, and simultaneously collect and obtain the main power grid status signal flow and slave grid status signal flow; respectively perform thermal power unit frequency regulation analysis on the main grid status signal flow and the slave grid status signal flow, and generate a main primary frequency regulation load instruction and a slave primary frequency regulation load instruction; introduce a hardware high selection module to compare and evaluate the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction, and determine the target primary frequency regulation load instruction; send the target primary frequency regulation load instruction to DCS and DEH for test recording and performance evaluation, respectively, obtain the primary frequency regulation remote disturbance test result, and perform frequency regulation strategy optimization control based on the primary frequency regulation remote disturbance test result.

[0053] In a possible implementation, the remote disturbance test method in the primary frequency modulation also includes: obtaining operating characteristic information of the target power grid, the operating characteristic information including power grid scale, power grid structure, load characteristics and frequency modulation response capability; performing frequency fluctuation simulation analysis based on the operating characteristic information to obtain frequency disturbance range, frequency disturbance amplitude and frequency disturbance duration; determining frequency disturbance simulation parameters according to the frequency disturbance range, frequency disturbance amplitude and frequency disturbance duration; setting signal generator parameters based on the frequency disturbance simulation parameters to generate the primary frequency modulation test disturbance frequency remote adjustment signal.

[0054] In a possible implementation, the remote disturbance test method in the primary frequency regulation also includes: filtering and preprocessing the main grid status signal stream and the slave grid status signal stream to obtain an available main grid status signal stream and an available slave grid status signal stream; standardizing and converting the available main grid status signal stream and the available slave grid status signal stream to obtain a standard main grid status signal stream and a standard slave grid status signal stream; performing frequency regulation characteristic analysis on the target thermal power unit to generate a unit frequency regulation strategy analysis model; based on the unit frequency regulation strategy analysis model, performing parallel frequency regulation operations on the standard main grid status signal stream and the standard slave grid status signal stream, respectively, to generate the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction.

[0055] In a possible implementation, the remote disturbance test method in the primary frequency modulation also includes: performing noise data identification on the main grid status signal stream and the slave grid status signal stream to obtain main signal noise data and slave signal noise data; performing characteristic analysis on the main signal noise data and the slave signal noise data to obtain main signal noise characteristic information and slave signal noise characteristic information; selecting a main signal filter and a slave signal filter according to the main signal noise characteristic information and the slave signal noise characteristic information respectively; and using the main signal filter and the slave signal filter to perform filtering preprocessing on the main grid status signal stream and the slave grid status signal stream respectively to obtain the available main grid status signal stream and the available slave grid status signal stream.

[0056] In a possible implementation, the remote disturbance test method in the primary frequency regulation also includes: performing physical property analysis on the target thermal power unit to obtain physical property information of the thermal power unit, wherein the physical property information of the thermal power unit includes thermodynamic properties, mechanical properties and control system properties; establishing a unit frequency regulation physical model according to the physical property information of the thermal power unit; collecting and acquiring a historical frequency regulation data set of the thermal power unit, performing labeled supervised training based on the historical frequency regulation data set of the thermal power unit, and obtaining a unit frequency regulation control model; hybrid tuning the unit frequency regulation physical model and the unit frequency regulation control model to generate a unit frequency regulation strategy analysis model.

[0057] In a possible implementation, the remote disturbance test method in the primary frequency modulation also includes: obtaining frequency modulation evaluation factor information according to the hardware high selection module, the frequency modulation evaluation factor information including frequency comparison, signal quality, time responsiveness and troubleshooting; constructing a frequency modulation high selection evaluation logic based on the frequency modulation evaluation factor information; comparing and evaluating the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction based on the frequency modulation high selection evaluation logic, and determining the target primary frequency modulation load instruction.

[0058] In a possible implementation, the remote disturbance test method in the primary frequency modulation also includes: performing a priority analysis on each evaluation factor in the frequency modulation evaluation factor information to obtain the frequency modulation evaluation factor priority; logically sorting the frequency modulation evaluation factor information based on the frequency modulation evaluation factor priority to construct the frequency modulation high selection evaluation logic.

[0059] In a possible implementation, the remote disturbance test method in the primary frequency regulation also includes: sending the target primary frequency regulation load instruction to the DCS and DEH respectively for frequency regulation test recording, and obtaining the unit frequency regulation test data stream; obtaining a frequency regulation performance evaluation index set, and performing a multi-dimensional performance evaluation on the unit frequency regulation test data stream based on the frequency regulation performance evaluation index set to obtain the primary frequency regulation remote disturbance test result.

[0060] In a possible implementation, the remote disturbance test method in the primary frequency regulation also includes: performing frequency regulation strategy optimization analysis based on the primary frequency regulation remote disturbance test results to obtain multiple frequency regulation control optimization strategies; performing simulation tests and evaluation comparisons on the multiple frequency regulation control optimization strategies to determine a target frequency regulation control optimization strategy, and performing unit frequency regulation optimization control based on the target frequency regulation control optimization strategy.

[0061] The remote disturbance test system in primary frequency modulation provided by the embodiment of the present invention can execute the remote disturbance test method in primary frequency modulation provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0062] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0063] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A remote disturbance test system in primary frequency modulation, characterized in that: The system comprises: A primary frequency modulation intelligent control system acquisition module, the primary frequency modulation intelligent control system acquisition module is used to acquire a primary frequency modulation intelligent control system, the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device; A verification and determination module, the verification and determination module is used to analyze and generate a primary frequency modulation test disturbance frequency remote adjustment signal, perform verification and determination on the primary frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal determination result; A signal flow acquisition module, the signal flow acquisition module is used to trigger a remote disturbance test according to the signal determination result, perform a remote disturbance test response based on the main primary frequency regulation control device and the slave primary frequency regulation control device, and simultaneously acquire a main power grid state signal flow and a slave power grid state signal flow; A frequency regulation load instruction generation module, the frequency regulation load instruction generation module is used to perform frequency regulation analysis of the thermal power unit on the main power grid state signal stream and the slave power grid state signal stream, and generate a main primary frequency regulation load instruction and a slave primary frequency regulation load instruction; A target primary frequency modulation load instruction determination module, the target primary frequency modulation load instruction determination module is used to introduce a hardware high selection module to compare and evaluate the main primary frequency modulation load instruction and the slave primary frequency modulation load instruction to determine the target primary frequency modulation load instruction; The frequency regulation strategy optimization control module is used to send the target primary frequency regulation load instruction to the DCS and DEH for test recording and performance evaluation, obtain the primary frequency regulation remote disturbance test result, and perform frequency regulation strategy optimization control based on the primary frequency regulation remote disturbance test result.

2. The remote disturbance test system in primary frequency modulation according to claim 1, characterized in that: The verification and determination module comprises: An operation characteristic information acquisition unit, the operation characteristic information acquisition unit is used to acquire the operation characteristic information of the target power grid, the operation characteristic information including the scale of the power grid, the structure of the power grid, the load characteristics and the frequency regulation response capability; A frequency data acquisition unit, the frequency data acquisition unit is used to perform frequency fluctuation simulation analysis based on the operation characteristic information to obtain a frequency disturbance range, a frequency disturbance amplitude and a frequency disturbance duration; A frequency disturbance simulation parameter determination unit, the frequency disturbance simulation parameter determination unit is used to determine the frequency disturbance simulation parameter according to the frequency disturbance range, the frequency disturbance amplitude and the frequency disturbance duration; A frequency remote adjustment signal generating unit is used to set the signal generator parameters based on the frequency disturbance simulation parameters to generate the primary frequency modulation test disturbance frequency remote adjustment signal.

3. The remote disturbance test system in primary frequency modulation according to claim 1, characterized in that: The frequency modulation load instruction generation module includes: A power grid state signal stream acquisition unit, the power grid state signal stream acquisition unit is used to perform filtering preprocessing on the main power grid state signal stream and the slave power grid state signal stream to obtain an available main power grid state signal stream and an available slave power grid state signal stream; A signal stream conversion unit, performing standardized conversion on the available main power grid state signal stream and the available slave power grid state signal stream to obtain a standard main power grid state signal stream and a standard slave power grid state signal stream; An analysis model generation unit, the analysis model generation unit is used to analyze the frequency regulation characteristics of the target thermal power unit and generate a unit frequency regulation strategy analysis model; A parallel frequency regulation operation unit is used to perform parallel frequency regulation operations on the standard main grid state signal flow and the standard slave grid state signal flow respectively based on the unit frequency regulation strategy analysis model to generate the main primary frequency regulation load instruction and the slave primary frequency regulation load instruction.

4. The remote disturbance test system in primary frequency modulation as claimed in claim 3, characterized in that: The power grid status signal flow acquisition unit comprises: A noise data identification subunit, the noise data identification subunit is used to perform noise data identification on the main power grid state signal stream and the slave power grid state signal stream to obtain main signal noise data and slave signal noise data; A signal noise characteristic information acquisition subunit, the signal noise characteristic information acquisition subunit is used to perform characteristic analysis on the main signal noise data and the slave signal noise data to obtain main signal noise characteristic information and slave signal noise characteristic information; A signal filter selection subunit, the signal filter selection subunit is used to select a main signal filter and a slave signal filter respectively according to the main signal noise characteristic information and the slave signal noise characteristic information; A power grid status signal stream acquisition subunit is used to use the main signal filter and the slave signal filter to perform filtering preprocessing on the main power grid status signal stream and the slave power grid status signal stream respectively, so as to obtain the available main power grid status signal stream and the available slave power grid status signal stream.

5. The remote disturbance test system in primary frequency modulation as claimed in claim 3, characterized in that: The analysis model generating unit comprises: A physical property information acquisition subunit, wherein the physical property information acquisition subunit is used to perform physical property analysis on the target thermal power unit to obtain physical property information of the thermal power unit, wherein the physical property information of the thermal power unit includes thermodynamic properties, mechanical properties and control system properties; A frequency regulation physical model building subunit, the frequency regulation physical model building subunit is used to build a unit frequency regulation physical model according to the physical characteristic information of the thermal power unit; A unit frequency regulation control model acquisition subunit, the unit frequency regulation control model acquisition subunit is used to collect and acquire a historical frequency regulation data set of a thermal power unit, perform labeled supervised training based on the historical frequency regulation data set of the thermal power unit, and obtain a unit frequency regulation control model; A hybrid tuning subunit, the hybrid tuning subunit is used to perform hybrid tuning on the unit frequency regulation physical model and the unit frequency regulation control model to generate a unit frequency regulation strategy analysis model.

6. The remote disturbance test system in primary frequency modulation according to claim 1, characterized in that: The target primary frequency modulation load instruction determination module includes: A frequency modulation evaluation factor information acquisition unit, the frequency modulation evaluation factor information acquisition unit is used to acquire frequency modulation evaluation factor information according to the hardware high selection module, the frequency modulation evaluation factor information includes frequency comparison, signal quality, time responsiveness and fault detection; A frequency modulation high selection evaluation logic construction unit, the frequency modulation high selection evaluation logic construction unit is used to construct a frequency modulation high selection evaluation logic based on the frequency modulation evaluation factor information; A target primary frequency modulation load instruction determining unit is used to compare and evaluate the primary frequency modulation load instruction and the secondary frequency modulation load instruction based on the frequency modulation high selection evaluation logic to determine the target primary frequency modulation load instruction.

7. The remote disturbance test system in primary frequency modulation as claimed in claim 6, characterized in that: The frequency modulation high selection evaluation logic construction unit includes: A priority analysis subunit, the priority analysis subunit is used to perform priority analysis on each evaluation factor in the frequency modulation evaluation factor information to obtain a priority of the frequency modulation evaluation factor; A logic sorting subunit is used to logically sort the frequency modulation evaluation factor information based on the frequency modulation evaluation factor priority level to construct the frequency modulation high selection evaluation logic.

8. The remote disturbance test system in primary frequency modulation as claimed in claim 1, characterized in that: The frequency modulation strategy optimization control module includes: A frequency modulation test record sending unit, the frequency modulation test record sending unit is used to send the target primary frequency modulation load instruction to the DCS and DEH respectively for frequency modulation test record, and obtain the unit frequency modulation test data stream; A multi-dimensional performance evaluation unit, the multi-dimensional performance evaluation unit is used to obtain a frequency regulation performance evaluation index set, perform a multi-dimensional performance evaluation on the unit frequency regulation test data stream based on the frequency regulation performance evaluation index set, and obtain the primary frequency regulation remote disturbance test result.

9. The remote disturbance test system in primary frequency modulation according to claim 1, characterized in that: The frequency modulation strategy optimization control module includes: A frequency modulation strategy optimization and analysis unit, the frequency modulation strategy optimization and analysis unit is used to perform frequency modulation strategy optimization analysis based on the primary frequency modulation remote disturbance test result to obtain multiple frequency modulation control optimization strategies; A frequency regulation control optimization strategy determination unit, wherein the frequency regulation control optimization strategy determination unit is used to perform simulation tests and evaluation comparisons on the multiple frequency regulation control optimization strategies, determine a target frequency regulation control optimization strategy, and perform unit frequency regulation optimization control based on the target frequency regulation control optimization strategy.

10. A remote disturbance test method in primary frequency modulation, characterized in that: The method is applied to the remote disturbance test device in the primary frequency modulation according to any one of claims 1 to 9, and the method comprises: Acquire a primary frequency modulation intelligent control system, wherein the primary frequency modulation intelligent control system is configured with a main primary frequency modulation control device and a slave primary frequency modulation control device, wherein the slave primary frequency modulation control device is a redundant device of the main primary frequency modulation control device; Analyze and generate a primary frequency modulation test disturbance frequency remote adjustment signal, verify and determine the primary frequency modulation test disturbance frequency remote adjustment signal, and obtain a signal determination result; triggering a remote disturbance test according to the signal determination result, performing remote disturbance test responses based on the master primary frequency regulation control device and the slave primary frequency regulation control device, respectively, and simultaneously acquiring a master power grid state signal stream and a slave power grid state signal stream; Performing frequency regulation analysis of the thermal power generation units on the main power grid state signal stream and the slave power grid state signal stream respectively, and generating a main primary frequency regulation load instruction and a slave primary frequency regulation load instruction; Introducing a hardware high selection module to compare and evaluate the main primary frequency regulation load instruction and the secondary primary frequency regulation load instruction to determine the target primary frequency regulation load instruction; The target primary frequency regulation load instruction is sent to the DCS and DEH for test recording and performance evaluation respectively, a primary frequency regulation remote disturbance test result is obtained, and frequency regulation strategy optimization control is performed based on the primary frequency regulation remote disturbance test result.

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