64 results about "Frequency response analysis" patented technology

The invention relates to the technical field of defect diagnosis, in particular to a production defect diagnosis method and system for a quartz crystal resonator. The method comprises the following steps: extracting a micro-acoustic response signal of each processing stage based on an ultrasonic excitation and response monitoring device, and carrying out acoustic time-frequency structure analysis and response track trend analysis and extraction to obtain a multi-stage crystal voiceprint behavior track sequence; deploying a multi-angle structured light interferometer array to carry out acoustic monitoring and synchronous visual acquisition, carrying out light stripe form response deviation calculation, and extracting a light stripe form response deviation section; and sound-light behavior frequency response analysis is carried out on the multi-stage crystal voiceprint behavior track sequence and the light texture form response deviation section, acousto-optic mismatch index fitting is carried out, and an acousto-optic fusion feature deviation database is constructed. Through accurate and efficient defect diagnosis and positioning, the production yield of the quartz crystal resonator is improved, and waste and energy consumption of a production line are reduced.

The invention relates to the field of fault monitoring, in particular to an electric energy metering box fault monitoring system based on the Internet of Things. The system comprises the following steps: a state analysis module is used for collecting multi-dimensional monitoring parameters of a plurality of electric energy metering boxes in an area, carrying out operation state analysis, and constructing an operation trend model of each metering box; the abnormal state inference module is used for carrying out residual comparison analysis on the operation trend model, carrying out abnormal state inference and marking an abnormal state metering box; the signal setting module is used for setting a lightweight excitation signal based on the abnormal state metering box to obtain an optimized excitation signal; and the excitation test module is used for carrying out signal excitation test based on the optimized excitation signal, carrying out comprehensive time-frequency response analysis and generating dynamic time-frequency response characteristics. The fault reason of the electric energy metering box is rapidly and accurately analyzed and judged, the service life of the electric energy metering box is prolonged, and the electricity utilization safety is improved.

The invention relates to the technical field of equipment state monitoring, in particular to an electronic component monitoring system based on big data, which comprises a multi-frequency response analysis module, a frequency domain feature reconstruction module, a stress deviation trend module, a coupling correlation structure module and a grade mapping generation module. According to the invention, through continuous data acquisition and analysis based on multi-frequency response information, electrical parameter changes of components are tracked in real time, change trends under various frequencies are continuously monitored and accurately identified, and through analysis and extraction of frequency domain data features and combination of stress deviation trend analysis, tiny changes caused by external environment changes are identified. According to the electrical parameter change of different time slices, the long-term health state of the component is comprehensively reflected, a dynamic evolution model of the component is constructed, a multi-dimensional data association analysis method is adopted, and the component degradation process is accurately evaluated by judging the relevance among different electrical parameters. And scientific and accurate decision support is provided for component maintenance and replacement.

The invention discloses an MEMS gravity sensor air pressure and temperature decoupling compensation method and system based on frequency response analysis. Placing the MEMS gravity sensor in a preset air pressure and temperature environment, obtaining a plurality of groups of corresponding resonant frequencies and quality factors Q, and constructing a mapping relation between the Q and the air pressure and the temperature; in the operation process of the sensor, the sum Q is measured in real time, and the variable quantity of the ambient air pressure and the temperature is obtained through inversion of the mapping relation; and introducing the variation of the ambient air pressure and the temperature into a compensation correction model, and decoupling and correcting the gravity output of the sensor. According to the method, an external sensor is not needed, inconsistency caused by space position difference is avoided, the system structure is more compact, hardware complexity and power consumption are lower, the long-term stability and measurement precision of the MEMS gravimeter in a complex environment can be remarkably improved, and miniaturization, low power consumption and array application are facilitated.

The application relates to a wind turbine frequency modulation method, and belongs to the technical field of wind power generation. The method comprises the following steps: obtaining a real-time operation condition of a wind turbine, and calculating maximum available frequency modulation energy of the wind turbine; dividing a whole frequency modulation process under power system power disturbance into time periods, and constructing a power system frequency response analysis model corresponding to each time period; calculating a corresponding relationship between a frequency minimum point and frequency modulation consumed energy of the whole frequency modulation process based on the power system frequency response analysis model; constructing an optimization model of frequency modulation control parameters, taking the maximum frequency minimum point as an objective function and taking the constraint condition that the frequency modulation consumed energy does not exceed the maximum available frequency modulation energy; solving the optimization model to obtain optimal wind turbine frequency modulation control parameters, and performing frequency modulation control on the wind turbine based on the frequency modulation control parameters. The wind turbine frequency modulation method can effectively improve the system frequency minimum point under power disturbance and optimize the wind power frequency modulation control effect.

The invention discloses a robot screw turning control method based on end excitation and feature fusion. According to the method, firstly, high-frequency excitation is applied through an end tool, circular scanning is carried out, and the normal vector and the local rigidity of the screw hole are accurately sensed by combining contact force frequency response analysis and weighted least square fitting; secondly, in the process of leading-in along the normal direction, damping and rigidity parameters of an impedance controller are adjusted in a self-adaptive mode based on real-time excitation-response phase difference identification, and smooth guidance is achieved. Then, in the screwing-in stage, disturbance caused by attitude deviation and the like is estimated through an extended state observer, and compensation motion is generated through a self-adaptive impedance controller; and finally, fusing the rigidity, the phase margin and the friction coefficient characteristics obtained in the previous steps, carrying out feedforward initialization, and dynamically adjusting torque-angle double-closed-loop control parameters to realize precise tightening. According to the invention, sensing and control integration is realized, and the precision, adaptability and reliability of robot tightening operation are obviously improved.

The present application belongs to the technical field of power monitoring, and discloses a detection method for monitoring the state of primary-secondary fusion circuit breaker, comprising: obtaining circuit breaker state data, including electromagnetic waveform data, harmonic response characteristics and temperature distribution gradient; obtaining circuit breaker electric field distribution fingerprint through nonlinear segmented harmonic analysis, constructing a multi-dimensional penetration feature matrix, and establishing a micro-scale electric-thermal coupling atlas; obtaining a nonlinear region situation table through impedance distortion analysis, obtaining a harmonic penetration curve through multi-frequency response analysis, and constructing a high-frequency harmonic penetration path spectrum; establishing a micro-region diagnosis algorithm, performing nonlinear impedance calibration, and generating a multi-level protection instruction sequence; adjusting the operating state of the circuit breaker, obtaining the circuit breaker medium steady-state index, and performing risk analysis to obtain a harmonic penetration early warning report; the present application realizes accurate identification and early warning of abnormal regions inside the circuit breaker, and improves the safe and stable operation ability of the primary-secondary fusion circuit breaker.

This application provides a method for calculating vehicle vibration and noise caused by electric air conditioning compressor excitation, including the following steps: conducting a compressor excitation test bench test to obtain the excitation force of the compressor on the vehicle body; establishing a vehicle finite element model; performing finite element frequency response analysis based on the vehicle finite element model and the excitation force to obtain the support reaction force at each compressor bracket system connection point, and obtaining the noise transfer function from each compressor bracket system connection point to the noise target point inside the vehicle; combining the support reaction force and the noise transfer function to perform transmission path analysis to obtain the vibration and noise at the noise target point inside the vehicle. This embodiment uses bench testing and CAE methods to simulate the characteristics of vehicle vibration and noise caused by compressor excitation in the early stages of vehicle development, accurately assessing the impact of electric air conditioning compressor excitation on vehicle vibration and noise. This allows for early detection and optimization of problems in the early stages of the project, avoiding difficulties in structural modifications later in the development process, and improving the NVH optimization effect of the electric vehicle air conditioning system.

A present measurement assistance device is a measurement assistance device that inputs a measurement signal used for a frequency response analysis of a servo system to the servo system, the measurement assistance device including a generation unit configured to generate a first signal determined to eliminate a shift between a first position of a load of the servo system at a start of an excitation with respect to the servo system of a speed command signal that changes with time to include a large number of frequency components and a second position of the load at an end of the excitation of the speed command signal, a synthesizing unit configured to generate a synthesized signal in which the first signal is superimposed on the speed command signal, and an excitation execution unit configured to input the synthesized signal to the servo system.

The invention discloses a new energy unit-station level frequency modulation parameter measurement and identification method based on frequency response analysis, and the method comprises the steps: enabling an obtained model to give consideration to the frequency modulation control precision and the adaptability to a plurality of operation conditions through constructing a closed-loop design of offline modeling-online correction-regular updating; a systematic technical path is provided for improving the frequency modulation performance of a new energy station, so that the frequency safety of a novel power system is guaranteed; comprising the following steps: off-line constructing a frequency modulation model of a first-layer unit level of a new energy station through principle analysis; constructing a second-layer station-level frequency modulation coordination control model of the new energy station; establishing a multi-dimensional frequency response deviation quantitative index system; designing a frequency modulation parameter correction optimization model in combination with measurement data of a field frequency test or an online frequency response event to obtain online measurement and discrimination parameters of the new energy unit-field station level frequency modulation model; and a regular updating mechanism is established, and frequency modulation parameters are re-identified and corrected.

The application discloses a kind of multi-machine frequency response analysis method, device, equipment, medium and program product, it is related to the multi-machine frequency response modeling analysis technical field of enhanced SVG and distributed phase modifier, including: inputting preset disturbance power in the multi-machine frequency response model of target multi-machine grid-connected system, obtains the grid frequency variation of target multi-machine grid-connected system;Wherein, multi-machine frequency response model is based on the first equivalent frequency response model of phase modifier cluster access grid and the second equivalent frequency response model of enhanced SVG access grid is constructed, and is configured to reflect the functional relationship between disturbance power injected into grid and grid frequency variation, phase modifier cluster includes multiple distributed phase modifier;Based on grid frequency variation, the frequency stability of target multi-machine grid-connected system is analyzed.The application can realize the systematic frequency response analysis of enhanced SVG and distributed phase modifier multi-machine grid connection.

The invention provides an optical anti-shake parameter determination method and device based on a neural network, a medium and equipment, and the method comprises the steps: carrying out the frequency response analysis test of different camera module motors at different characteristic frequencies under each group of historical anti-shake parameters, and obtaining a first test result; performing anti-shake performance test on different camera modules to obtain a second test result; according to the first test result and the second test result, a training data set is determined to train a pre-constructed neural network until training conditions are met, and a trained neural network prediction model is obtained; predicting a to-be-detected optical anti-vibration parameter by using the neural network prediction model; therefore, the first test result and the second test result cover the actual performance of the motors with different characteristics under different anti-shake parameters, and the anti-shake parameters adaptive to the motors with various characteristics can be predicted by the neural network prediction model obtained by training the pre-constructed neural network by taking the mapping data as the training data set. And the anti-shake effect of the camera module is ensured.

The invention provides a measurement assistance device capable of suppressing position deviation of a load in frequency response analysis performed by inputting a speed command into a servo system. This measurement assistance device inputs a measurement signal for frequency response analysis of a servo system to the servo system, and is provided with: a generation unit that generates a first signal, the first signal is determined so as to cancel a deviation between a first position of a load of the servo system at the start of the oscillation of a speed command signal to the servo system and a second position of the load at the end of the oscillation of the speed command signal, and the speed command signal varies with time so as to include a plurality of frequency components. A combining unit that generates a combined signal in which the first signal is superimposed on the speed command signal; and a vibration execution unit that inputs the combined signal to the servo system.

The invention relates to the technical field of optoelectronic device modeling, in particular to a thin film lithium niobate phase modulator low-frequency response analysis method which comprises the steps that equivalent RC branches are established for an upper cladding layer, a lithium niobate waveguide layer and a substrate layer of a thin film lithium niobate phase modulator respectively, and an RC network structure is established through the equivalent RC branches; extracting the structure and electrical parameters of the thin film lithium niobate phase modulator and determining the initial value of an RC element in the RC network structure; determining a node voltage state model based on the RC network structure, solving the node voltage state model, and obtaining system response; based on the system response and the RC network structure, effective voltage, characteristic relaxation time and low-frequency drift amplitude are determined to serve as low-frequency response of the thin-film lithium niobate phase modulator; according to the invention, corresponding physical interpretability analysis of the device can be realized.

The application belongs to the technical field of power system frequency stability analysis, and provides a frequency response analysis method and system based on a unified equivalent model of heterogeneous devices, provides a correction mechanism for the time sequence coupling effect between devices, considers the difference in dominant dynamic characteristics of different devices at different stages of the frequency response process, divides the frequency response process into an inertia response stage, a primary frequency modulation stage and a frequency recovery stage, and respectively adopts a targeted frequency weighting function for parameter identification of each type of device at each stage, so that the parameters of the unified equivalent electromechanical model focus on the dominant dynamic characteristics of the stage in each stage, and under the premise of keeping the structure of the 2-order unified model unchanged, through independent identification and adaptive switching of each stage, the prediction accuracy of key indicators such as the frequency minimum point, the frequency change rate peak value and the power response is obviously improved compared with the fixed parameter method in the whole period.

The invention relates to a transformer fault detection method and device, computer equipment and a storage medium, and the method comprises the steps: respectively obtaining a first test result of a transformer turn ratio test on a fault transformer sample and a second test result of a frequency response analysis on the fault transformer sample; and detecting the to-be-detected transformer in combination with a quantitative mapping relationship between the first test result and the second test result to obtain a test result, so that the detection result, obtained based on frequency response analysis, of the to-be-detected transformer can have the same judgment basis as a transformer turn ratio test. Therefore, the feasibility and standardization degree of engineering application are enhanced while the high sensitivity characteristic of frequency response analysis on transformer fault detection is maintained, and the test accuracy is improved.

The application discloses a rail transit vehicle dual-mode variable frequency power supply system and an intelligent switching control method, relates to the technical field of rail transit, and comprises the following steps: in the process that a frequency converter is switched from a normal ventilation mode to an emergency ventilation mode, a frequency scanning mechanism is executed, frequency response analysis is performed on electromagnetic resonance response characteristics of key electrical components in an electrical system of a rail transit vehicle, corresponding resonance frequencies and amplitude information thereof are extracted, and an electromagnetic resonance sensitive frequency band mapping table is constructed; and a dynamic characteristic vector of a variable frequency output signal is generated by collecting current dynamic operation parameters of a variable frequency power supply in real time. Through frequency scanning and dynamic characteristic fusion, the application realizes feedforward identification and intelligent evaluation of electromagnetic interference, drives a tunable damping loop to dynamically inhibit resonance interference based on risk scoring, improves electromagnetic compatibility and operation safety of a rail transit system in a complex environment, and realizes a change from passive protection to active intervention.

The invention provides a robust resonance control method for a piezoelectric driving positioning table based on a generalized internal model architecture. The method comprises the following steps: S1, establishing a dynamic response model of the piezoelectric driving positioning table through a frequency response analysis and identification method; s2, on the basis of a zero pole cancellation resonance suppression method, a feedforward resonance suppression controller is calculated and obtained; s3, calculating a nominal controller through an internal model control PID (Proportion Integration Differentiation) setting algorithm by taking the nominal model assuming that the harmonic peak is completely suppressed as a controlled object; s4, based on the difference model frequency response data of the actual object and the nominal model, fitting to obtain the multiplicative uncertainty of the controlled object; and S5, solving a standard robust sub-optimal problem, and obtaining a robust controller to carry out robust resonance control. The method is mainly used for processing the high-performance control problem of the piezoelectric driving positioning table under the nonlinear resonance characteristic.

A device may perform impedance spectroscopy on a component under test. The frequency response analyzer circuitry may be coupled to the component under test outside of a current loop supplying an operational current to the component under test. The frequency response analyzer circuitry may drive a variable impedance circuit to generate an oscillating current component within the current loop. The frequency response analyzer circuitry may monitor a frequency response of the component under test to the oscillating current component.

The invention discloses a frequency response data change feature generation method and device for transformer winding fault category identification and a storage medium. The method comprises the following steps: respectively converting normal frequency response amplitude-frequency data and frequency response amplitude-frequency data of each fault winding into respective corresponding frequency response amplitude-frequency polar coordinate graphs; calculating multiple types of geometric features of all the frequency response amplitude-frequency polar coordinate graphs, and calculating a difference value between the radius of each point in the frequency response amplitude-frequency polar coordinate graph of each fault winding and the radius of each point in the normal frequency response amplitude-frequency polar coordinate graph; the feature vector for the machine learning model is formed by the multiple types of geometric features and the radius difference values. The equipment and the storage medium are used for implementing the method. The method can provide important reference and guidance for the feature extraction problem in transformer winding fault diagnosis based on a frequency response analysis method and a machine learning method.

This invention relates to the field of defect diagnosis technology, and more particularly to a method and system for diagnosing manufacturing defects in quartz crystal resonators. The method includes the following steps: extracting micro-acoustic response signals from each processing stage using an ultrasonic excitation and response monitoring device; performing acoustic time-frequency structure analysis and response trajectory trend analysis and extraction to obtain a multi-stage crystal acoustic waveform behavior trajectory sequence; deploying a multi-angle structured light interferometer array for simultaneous acoustic monitoring and visual acquisition; calculating optical waveform morphology response deviations and extracting optical waveform morphology response deviation segments; performing acoustic-optical behavior frequency response analysis on the multi-stage crystal acoustic waveform behavior trajectory sequence and optical waveform morphology response deviation segments; fitting acoustic-optical mismatch indices; and constructing an acoustic-optical fusion feature deviation database. This invention improves the production yield of quartz crystal resonators and reduces production line waste and energy consumption through accurate and efficient defect diagnosis and localization.

The invention discloses a frequency response analysis method, system and device based on multi-type resource inertia response and a medium, and belongs to the technical field of power system operation and control, and the method comprises the steps: building virtual inertia control strategies for a photovoltaic system, an energy storage system and an electric vehicle charging station, and obtaining the inertia response coefficients of various resources; a feedback adjustment link is introduced into the classical frequency response model, a feedback coefficient is set based on an inertia response coefficient, and a frequency response model containing multiple types of resources is constructed; and establishing and solving a frequency response dynamic equation to obtain a relational expression between the frequency deviation and the power disturbance. According to the method, the frequency response model considering multi-type resource cooperative adjustment is established, so that quantitative representation of inertia response characteristics of different types of resources is realized, a parameter framework that a traditional model only considers inertia of a synchronous machine is broken through, and a theoretical basis is provided for accurately predicting frequency dynamic characteristics of a low-inertia system.

The method for analyzing frequency response of system based on electromechanical wave propagation characteristics comprises the following steps: firstly, setting power shortage disturbance point, calculating the turning frequency ω ci and propagation coefficient PC between disturbance source point and generator node, and screening the generator affected by electromechanical disturbance. Then, according to the propagation coefficient, determining whether the generator node is affected by electromechanical disturbance, screening the generator affected by electromechanical disturbance, and calculating the composite electromechanical distance between the disturbance source point and the generator node j affected by disturbance. According to the hierarchical clustering of the system according to the composite electromechanical distance, the power system is divided into research area (affected by electromechanical disturbance, participating in frequency modulation) and external area (not affected by electromechanical disturbance, only for power transmission), the parameters of each generator in the research area are aggregated, the equivalent frequency response model of the system is established, and the frequency response analysis of the research area is carried out. The method provides an effective measure for simplifying the frequency response modeling and analysis of complex power system.

The invention discloses a rail transit vehicle dual-mode variable-frequency power supply system and an intelligent switching control method, and relates to the technical field of rail transit, and the method comprises the following steps: in the process of switching a frequency converter from a normal ventilation mode to an emergency ventilation mode, executing a frequency scanning mechanism, performing frequency response analysis on electromagnetic resonance response characteristics of key electrical components in the electrical system of the rail transit vehicle, extracting corresponding resonant frequencies and amplitude information thereof, and constructing an electromagnetic resonance sensitive frequency band mapping table; and collecting current dynamic operation parameters of the variable-frequency power supply in real time to generate a dynamic feature vector of the variable-frequency output signal. Feedforward recognition and intelligent evaluation of electromagnetic interference are achieved through frequency scanning and dynamic feature fusion, the adjustable damping loop is driven to dynamically suppress resonance interference based on risk scores, the electromagnetic compatibility and operation safety of a rail transit system in a complex environment are improved, and conversion from passive protection to active intervention is achieved.

The invention provides a customer scene whole vehicle wheel force load spectrum acquisition method, which comprises the steps of installing a wheel six-component device on a target vehicle, installing a strain sensor on the surface of a chassis part of the vehicle, and simultaneously acquiring wheel force load spectrum data and chassis part load spectrum data of the vehicle on a test field road; determining associated chassis parts equivalent to the wheel force load frequency in frequency response in the Fx, Fy and Fz directions through frequency response analysis; establishing a fitting equation of the wheel force load and the associated chassis part load; performing backstepping on test field wheel force load data by using the associated chassis part load data and the fitting equation, and calculating an equivalent value Z; and if the equivalent value Z is in the calibration interval, applying the verified fitting equation to the customer scene chassis part load data, and carrying out backstepping to obtain a customer scene wheel force load spectrum.

The invention provides an optimal configuration method and device for energy storage of a new energy base, and can be applied to the technical field of frequency control and energy storage optimal configuration of a new energy power system. The method comprises the following steps: constructing a target inertia of a new energy storage system based on respective system parameters of a plurality of new energy storage systems included in a target new energy base; determining operation and maintenance resources of the target new energy base based on a preset demand of the target new energy base and the respective operation parameters and system parameters of the plurality of new energy storage systems; under the condition that the target new energy base is subjected to virtual disturbance, frequency response analysis is carried out on the fluctuation frequency of energy storage of the disturbed target new energy base, and an analysis result is obtained; and on the basis of the analysis result, the disturbance power of the virtual disturbance, and the transmission power, the energy storage capacity and the charging and discharging power of the target new energy base, constructing constraint conditions, and on the basis of operation and maintenance resources, satisfying an optimization target to adjust system parameters to obtain target system parameters.

The invention relates to the technical field of performance testing, in particular to a frequency response characteristic testing method and device based on an FPGA, and the method comprises the steps: obtaining the test configuration information of a to-be-tested product, and carrying out the configuration of the frequency response characteristic testing device according to the test configuration information, the test configuration information at least comprises a test mode and a frequency response test parameter; generating a digital excitation signal based on the frequency response test parameter; determining a reference signal and a tested signal of the product to be tested according to the test mode and the digital excitation signal; and performing frequency response analysis on the product to be tested according to the reference signal and the tested signal to obtain a frequency response characteristic test result of the product to be tested. The method and the device have the effects of improving the frequency response characteristic test effect and the universality.

The invention discloses a gearbox body vibration frequency response analysis system, and relates to the technical field of gearbox detection, the gearbox body vibration frequency response analysis system comprises a gearbox body detection center, the gearbox body detection center is in communication connection with a vibration signal acquisition module, a frequency response effect analysis module and a resonance suppression early warning module, and the modules are in electric signal connection; and the vibration signal acquisition module is used for acquiring vibration signals of the gearbox body under different working conditions and performing frequency domain analysis and modal analysis on the gearbox body. According to the method, through modal analysis and frequency response effect analysis, the inherent frequency and vibration characteristics of the gearbox body can be comprehensively evaluated, abnormal resonance points having potential threats to structural safety are identified, and a reasonable resonance suppression strategy is provided, so that the structural strength of the gearbox body is enhanced, and the service life of the gearbox body is prolonged. The structure damage or failure risk caused by resonance is reduced, the service life of the gearbox body is prolonged, and the use safety of the gearbox body is improved.

A measurement support device is provided that can suppress positional deviation of a load in frequency response analysis that is performed by inputting a speed command to a servo system. [Solution] This measurement support device is a measurement support device that inputs a measurement signal used for frequency response analysis of a servo system to the servo system, and includes: a generation unit that generates a first signal determined to eliminate the discrepancy between a first position of a load of the servo system at the start of excitation of the servo system by a speed command signal that changes over time to include a large number of frequency components, and a second position of the load at the end of excitation of the speed command signal; a synthesis unit that generates a synthesized signal by superimposing the first signal on the speed command signal; and an excitation execution unit that inputs the synthesized signal to the servo system.

The application belongs to the field of electric power, and discloses a frequency modulation parameter optimization setting method and device for an offshore wind power flexible direct transmission system, which comprises the following steps: establishing a frequency response analysis model of the offshore wind power flexible direct transmission system according to the control topology of the offshore wind power flexible direct transmission system, and calculating an equivalent frequency support capability transfer function of the system; drawing a time / frequency domain curve of the frequency support capability through the equivalent frequency support capability transfer function, and determining the frequency modulation control parameters that have an influence on the frequency support capability of the system; and according to the evaluation results of the equivalent frequency support capability of the system, a system frequency modulation parameter optimization setting method based on a particle swarm algorithm is proposed from the dual perspectives of support strength and response speed. The method calculates the equivalent frequency support capability of the offshore wind power flexible direct transmission system, designs a frequency modulation parameter optimization setting method based on the particle swarm algorithm based on the evaluation results of the frequency support capability, and realizes the comprehensive optimization of the active support strength and response speed of the system frequency.