50results about How to "Fix Response Lag" patented technology

The invention discloses a multi-mode-based self-adaptive control method and system for energy surgical equipment, and relates to the technical field of medical instrument control. The invention discloses a multi-mode-based self-adaptive control system for energy surgical equipment. The multi-mode-based self-adaptive control system comprises a waveform mode generation module, a real-time tissue parameter acquisition module, an acting tissue prediction module, a data analysis and decision module, a self-adaptive control output module and a safety monitoring and abnormal response module. By monitoring the contact area of the equipment electrode and the tissue in real time, the waveform mode and the output power are dynamically adjusted, and the uniformity and the high efficiency of energy transfer are ensured; on the basis of a tissue prediction model of individual characteristics of a patient, prior analysis is carried out by utilizing data acquired in real time, and response lag caused by drastic change of tissue states is avoided by predicting the tissue states at the next moment and adjusting waveform modes and parameters in advance, so that the prospective regulation and control capability of energy surgical equipment is remarkably improved.

The invention relates to the field of electric power automation, and discloses an intelligent switch cabinet control system and method, and the system comprises sensing equipment which is used for collecting the voltage, current and temperature multi-dimensional operation parameters of a power grid; the edge calculation module is in communication connection with the sensing equipment and is configured to generate a switch control strategy through dynamic modeling and an optimization algorithm based on the collected operation parameters; a control execution module which is in communication connection with the edge calculation module and is used for receiving the switch control strategy and adjusting the operation state of the switch cabinet; and the cloud platform is in communication connection with the edge computing module and is used for storing operation parameters, fault response records and an optimization control model and providing global data analysis and optimization services. By adopting the technical scheme of combining the sensing equipment and the edge calculation module, real-time acquisition and dynamic modeling of multi-dimensional parameters of the power grid are realized, and the technical effect of quickly capturing the running state change of the power grid is achieved.

The invention relates to the technical field of ventilation control, in particular to a laboratory ventilation energy-saving automatic control method and system, and the method comprises the steps: obtaining laboratory pollutant concentration data and laboratory ventilation quantity data of each time period, obtaining the ventilation demand degree and ventilation efficiency characteristics of each time period, and combining the ventilation demand degree and the ventilation efficiency characteristics to obtain a laboratory ventilation energy-saving automatic control system. Clustering is carried out based on the dynamic change characteristics of the air quality data of all the time periods, and the matching degree is obtained according to the difference between the dynamic change characteristics of the air quality data of the current time period and the dynamic change characteristics of the air quality data of all the historical time periods in the same cluster; according to the matching degree and the laboratory ventilation quantity data of each historical time period in the same cluster, the ventilation quantity demand is obtained, the ventilation quantity demand which should be needed currently can be accurately obtained, and misjudgment of the demand due to fluctuation of a single monitoring parameter is avoided.

The invention discloses a USV rotary column stabilization control system considering complex disturbance and motor dynamic characteristics, belongs to the field of motion control systems of ocean mobile observation platforms, and aims to improve the stability and control efficiency of USV navigation. The method comprises the following specific steps: firstly, establishing a rotary column stabilizer lift model, a USV nonlinear rolling model and a servo motor dynamic model; then designing a Backstepping controller based on a differential item disturbance observer, estimating and compensating disturbance caused by external and model uncertainty in real time, then adjusting expected control input in real time, and ensuring that the output rolling angle tracks the expected rolling angle. The MPC controller based on servo motor state feedback is designed, the state quantity of the motor is fed back to the controller for prediction and adjustment, the problems of response lag and output overload of the servo motor in complex sea conditions are effectively solved, rolling angle error minimization and effective control over energy consumption are further achieved, and the service life of the servo motor is prolonged. And the purpose of multi-objective optimization is achieved.

The invention relates to the technical field of centralized cooling energy-saving control, and particularly discloses an energy-saving control method and system for centralized cooling of a combined air cabinet, which are suitable for a central air-conditioning system of a large building group, firstly, an isochronous interval division method is utilized to collect outdoor temperature and humidity data, and time sequence characteristics are formed through a sliding window technology; an ARIMA model is trained, after model training is completed, the future outdoor environment is predicted, the indoor temperature set value, the air supply amount and the humidity control threshold value are dynamically adjusted accordingly, meanwhile, the system adopts a closed-loop control strategy to monitor indoor temperature changes in real time, the air amount is automatically adjusted by calculating the error between the current environment state and the target state, and the indoor temperature is monitored in real time. And in order to prevent overload or underload of equipment, the system is further provided with an air volume adjustment mapping and amplitude limiting processing mechanism, and in conclusion, the purposes of energy conservation and emission reduction are achieved, and the living quality of residents is further improved.

The invention relates to the technical field of smart traffic, in particular to a smart capacity expansion method and system for an expressway operation period, and the method comprises the steps: collecting real-time traffic flow and speed data, and obtaining traffic jam information through calculating the weighted average flow and speed; analyzing congestion data between adjacent radars according to the traffic congestion information, and combining continuous congestion points to obtain a congestion section; according to the congestion section, through a demand prediction algorithm and a traffic capacity prediction algorithm, calculating a current VC ratio and a future VC ratio; and according to a calculation result, carrying out prediction analysis on a congestion trend, and according to a prediction analysis result, adjusting traffic control measures in real time. According to the invention, the problems of response lag and insufficient data accuracy when a traditional traffic management system deals with real-time traffic changes of the expressway are effectively solved, accurate prediction and dynamic management of traffic congestion are realized, and the traffic congestion problem of the expressway is effectively relieved.

The invention relates to the technical field of heat pump control methods, in particular to a system air-cooled heat pump control method and an air-cooled heat pump, and the method comprises the following steps: collecting environment temperature, compressor suction pressure, exhaust pressure and refrigerant flow parameters; calculating a dynamic load rate through piecewise polynomial fitting; smoothing the load rate by adopting Laplace transform; optimizing a load rate change path by using a variational method; optimizing the load rate based on the multi-dimensional coupling matrix; the refrigerant flow is regulated and controlled through Gaussian process regression, the refrigerant flow regulated and controlled through Gaussian process regression is used for dynamically adjusting a refrigerant circulation path so as to optimize system operation parameters, polynomial fitting provides sensitive capture for dynamic change of a load rate, and Laplace transformation eliminates short-term fluctuation through frequency domain smoothing processing. The variational method further optimizes the load rate path, and the load rate achieves the optimal balance between smoothness and accuracy through global optimal path planning.

The application provides a multi-objective dynamic optimization method and system for a solar seawater desalination process, belonging to the technical field of solar seawater desalination control. Firstly, the application collects solution conductivity data at the inlet and outlet positions and irradiance trend data above the photovoltaic array. Then, the conductivity difference is calculated to generate gradient data to map the desalination demand vector, and the cloud motion vector is extracted from the irradiance data using the optical flow method to construct the energy supply potential vector. Subsequently, the two are aligned and convolved to generate a state space matrix, which is input into the constructed Kalman filter to predict the target voltage reference trajectory. Finally, the trajectory is substituted into the multi-objective constraint function to calculate the target duty cycle command, and the DC converter switching state is adjusted to change the operating voltage of the desalination device. The application can achieve real-time multi-objective dynamic optimization of the water production efficiency and equipment safety of the solar seawater desalination system under the dual fluctuations of light and salinity.

The utility model discloses a fish releasing swing valve capable of being rapidly opened and closed. The fish releasing swing valve comprises a valve body, a valve plate and an oil cylinder. According to the utility model, the split type valve plate is matched with the scissor type hinged linkage mechanism, and the opening and closing stroke of the valve plate is obviously shortened by utilizing the synchronous reverse swinging of the symmetrical swing arms under the driving of the oil cylinder, so that the quick opening and closing are realized; the problem of response lag caused by long-stroke movement of a single valve plate of a traditional swing valve is solved, and the swing valve is particularly suitable for fish migration channel valve scenes with high requirements for opening and closing efficiency.

The invention relates to the technical field of electric power system operation and maintenance, and particularly discloses an intelligent agent construction method and system for electric power inspection, which can automatically trigger an inspection task, schedule edge equipment to execute inspection and identify equipment defects based on a visual large model by collecting multi-source operation data of electric power equipment in real time and performing intelligent analysis. And generating a structured abnormal point location and a disposal suggestion, and finally forming a complete inspection report and pushing the inspection report to the operation and maintenance management platform. By automatically judging the risk and generating the targeted inspection task, manual intervention is not needed, and compared with a traditional mode depending on a fixed period or threshold alarm, task response is more timely, coverage is more accurate, the capacity of capturing sudden hidden dangers is effectively improved, intelligentization and automation of the whole inspection process are achieved, manual intervention is reduced, and the inspection efficiency is improved. The inspection efficiency and accuracy are improved; equipment abnormity and potential risks can be identified in time, and rapid disposal is supported.

The invention relates to the technical field of intelligent power distribution, and discloses a power distribution cabinet multi-loop power adaptive distribution method and system. The method comprises the following steps: synchronously acquiring current values of all loops at a fixed sampling period, and storing the current values into a loop current time sequence matrix; carrying out second-order difference operation on the matrix, and carrying out quotient on the obtained load change acceleration and a rated margin to obtain a load inertia coefficient; screening a high-risk loop set under the condition that the load inertia coefficient continuously exceeds a pre-judgment threshold value; and taking a weighted difference value of a rated margin rate and the load inertia coefficient as a future stability score, switching a part of loads in the high-risk loop set to a receiving loop with the highest score, and correcting the pre-judgment threshold value with a historical switching pre-judgment accuracy rate. According to the invention, the feed-forward pre-judgment capability of the multi-loop power distribution of the power distribution cabinet and the long-term stability of the switching decision are improved.

The application provides a multi-energy storage converter coordination control method and system. The method comprises the following steps: synchronously collecting power grid parameters of a PCC point through a unified collection module arranged at the PCC point; receiving and processing the power grid parameters to obtain standardized data for a power control algorithm; generating a global regulation instruction based on the standardized data and in combination with acquired power regulation information, wherein the power regulation information at least comprises operating state information of each PCS, and the operating state information of each PCS at least comprises one of an SOC state corresponding to each PCS, a current output power, an adjustable power margin and a health state; and synchronously issuing the global regulation instruction to each PCS through a real-time communication network module, so that each PCS performs power output according to the same instruction source. The method effectively eliminates regulation deviation and internal circulation caused by independent response of multiple PCSs, improves response synchronism and regulation accuracy of the energy storage system to the power grid, and realizes optimal configuration of energy storage resources.

The application discloses a numerical simulation method for spray combustion of an aero-engine combustion chamber, and belongs to the technical field of simulation of spray combustion of an aero-engine combustion chamber. The numerical simulation method is based on an adaptive matching iterative solution control mechanism of liquid droplet and flow field motion scale to perform outer circulation; starting from mixed fraction definition and component transport, a coupling relationship between fuel evaporation and combustion is established by deducing mixed fraction source terms and component transport equation source terms under different definitions, so that the numerical simulation method has high-fidelity coupling simulation capability of flow-spray-combustion; the RCCE method is introduced to establish a flame surface database, a large number of components in a chemical reaction mechanism are mapped to a limited number of constraint variables for dimension reduction solution, and a constraint equilibrium state is obtained according to the maximum entropy principle, and finally, the concentration of each component is reconstructed by using a constraint potential energy; while ensuring the accuracy of key chemical thermodynamic coupling, the generation efficiency of a complex fuel chemical reaction database is improved.

The invention relates to the field of pump control, in particular to a joint control method and system for a motor-pump all-in-one machine, and the method comprises the steps: collecting multi-source sensor data and equipment configuration parameters of the motor-pump all-in-one machine, carrying out the preprocessing of the collected data, and constructing a state feature vector; state analysis and dynamic weighted compensation are carried out based on the state feature vector, and a compensation torque considering the response speed and the suppression capability is generated by constructing an effective adjustment intensity coefficient and a disturbance separation factor; the compensation torque is superimposed to the speed loop output to generate a final motor torque command. The control logic conflict caused by the fact that a traditional observer cannot distinguish an expected load from unknown disturbance is solved, and high dynamic response and high stability are both considered.

The application relates to a control system, equipment and medium of an intelligent smoke sensor, and belongs to the field of intelligent smoke sensors; the application controls the intelligent smoke sensor to issue a buzzing alarm by setting a high and fixed second smoke concentration threshold value, a second temperature rising rate threshold value and a low and dynamically adjustable first smoke concentration threshold value and a first temperature rising rate threshold value; when the environment is disturbed by normal influencing factors such as cooking, steam and dust, the first smoke concentration threshold value and the first temperature rising rate threshold value are dynamically updated to avoid false positives; when the current smoke concentration reaches the updated first smoke concentration threshold value or the current temperature rising rate reaches the updated first temperature rising rate threshold value, the alarm is triggered, early response is realized, and response lag is avoided; and when the current smoke concentration reaches the second smoke concentration threshold value or the current temperature rising rate reaches the second temperature rising rate threshold value, the alarm is triggered, and no alarm delay is ensured in an extreme case.

The present invention discloses a multi-node deep-buried tunnel wireless sensor network monitoring system, which relates to the technical field of tunnel safety monitoring. When the system is running, by integrating edge monitoring modules, request initiation modules, edge node acquisition modules, multiple verification modules and decision feedback modules, a highly intelligent monitoring mechanism is constructed, which can calculate the self-check deviation factor Eem in real time, and trigger events under abnormal conditions based on the request initiation module, adjust the acquisition frequency in time, and respond to emergencies quickly. Detailed data of adjacent nodes are obtained through the cloud, and a comprehensive status assessment is provided by analyzing the trend index Enu of adjacent nodes to reduce false alarms and omissions. The present invention makes maintenance response more efficient, improves the accuracy and real-time performance of data acquisition, and also enhances the early warning capability of potential abnormalities in tunnel structures, avoiding structural instability and operational safety problems caused by monitoring lags.

The invention discloses a direct blowing type boiler variable load fuel system with an external coupling powder bin and a method, and belongs to the technical field of thermal power generation equipment. The device comprises an external coupling powder bin, wherein the effective volume of the external coupling powder bin is configured to meet the pulverized coal consumption of 5-10 minutes under the rated load of a boiler; the combustion regulation and control unit comprises at least one independent combustor independent of a boiler main combustor. The central controller is in signal connection with the direct-blowing pulverizing unit, a material level monitoring module of the external coupling powder bin, the combustion regulation and control unit, and a regulating valve and a pulverized coal feeding device in the pulverized coal blending pipeline unit; the central controller is used for receiving boiler load signals and boiler combustion state feedback and conducting dynamic regulation and control. Through cooperative configuration of the small-capacity external coupling powder bin and the independent combustor and intelligent regulation and control of the central controller, the technical problems that load response of the direct-fired boiler is lagged and low-load stable combustion is difficult are solved, and rapid, stable and efficient operation under all working conditions is achieved.

The fireproof tuyere comprises a tuyere shell, an isolation cavity is formed in the tuyere shell, a tuyere body is arranged in the isolation cavity, the bottom end in the isolation cavity is fixedly connected with a servo motor, the tail end of an output shaft of the servo motor is fixedly connected with a driving wheel, and the tail end of the output shaft of the servo motor is fixedly connected with a transmission shaft. The driving wheel is meshed with a driven wheel, a protruding block is fixedly connected to the driven wheel, an adjusting mechanism is arranged between the protruding block and the tuyere body, and limiting mechanisms are arranged on the two sides of the tuyere body. According to the fireproof tuyere with the variable isolation cavity, through the arrangement of the variable isolation cavity, the problem that a traditional fireproof device lags in response in a high-temperature environment is solved, and the use safety is improved.

The invention relates to the technical field of metallurgical process control, and discloses a molten pool smelting intelligent dynamic control system based on multi-parameter coupling, which comprises a global perception sensor network, a data fusion and state evaluation module and a precise execution control system. According to the system, heat-fluidization multivariable variables of a molten pool are obtained at high frequency through a global perception sensor network, a data fusion and state evaluation module completes prediction-updating through Kalman filtering, abnormal value elimination is carried out through a Mahalanobis distance threshold, working condition drifting is restrained in combination with self-adaptive R / Q, and the state of the molten pool is evaluated. State evaluation is carried out, the middle temperature, the copper matte grade, the liquid level, the change rate and the circulation strength are generated, an LSTM model is adopted for short-time prediction, control suggestions are generated, an amplitude / slope limiting function and a safety interlocking mechanism are matched, a closed-loop execution process is formed, the accurate execution control system converts the control suggestions into actual control actions, and the actual control actions are controlled. And the state of the molten pool is accurately adapted, operation feedback and state monitoring data are transmitted back, and the intelligent control operation efficiency is high.

The steel wire rope supporting device for the hydraulic winch tensioning system comprises a rope supporting frame and a rope supporting roller, the rope supporting frame is assembled on a tensioning vehicle walking track 04 in a sliding mode, and the rope supporting roller is rotationally installed on the rope supporting frame and located below a steel wire rope. Dynamic balance of tension transmission of the steel wire rope is guaranteed, the steel wire rope is effectively prevented from being separated from a redirection rope wheel or a winch drum groove through stable supporting of the rope supporting roller, stable operation of a tensioning system is guaranteed, and the effects of improving the space utilization rate, reducing the maintenance cost and enhancing the operation safety are achieved.

The invention discloses a multi-lamp-post cooperative intelligent dimming and energy saving method based on cloud LSTM prediction, and belongs to the field of intelligent dimming and energy saving. The method comprises the following steps: collecting traffic flow, illuminance, weather information, time information and adjacent lamp post brightness data by using a local lamp post, and uploading the data to a cloud through 4G / 5G; the cloud end utilizes an LSTM deep learning model to predict the traffic flow trend in the future 5-30 minutes; generating a brightness interval and a dimming strategy according to the predicted traffic flow and the road lighting standard in combination with an edge cloud brightness fusion strategy; constructing an adjacent matrix by using the positions of the lamp posts, and performing multi-lamp-post collaborative brightness calculation on the lamp posts according to the states of the adjacent lamp posts; and according to the actual lighting use condition, the cloud end executes a global energy-saving optimization algorithm to obtain an optimal brightness distribution strategy of the whole road. According to the invention, the technical system of edge real-time perception, cloud trend prediction, multi-lamp-post collaborative dimming, energy-saving optimization and lifelong learning is adopted, so that the road illumination efficiency, safety and energy-saving capability are improved.

The invention relates to the technical field of spraying control, in particular to a deodorant self-adaptive spraying method and system based on concentration prediction.The deodorant self-adaptive spraying method comprises the steps that actually-measured parameters at the current moment in a pollution source area are obtained, and the actually-measured parameters comprise the current concentration, the current wind speed, the current wind direction deflection angle and the current environment humidity; and calculating a gas concentration predicted value at the next moment. According to the method, the smell diffusion dynamic deviation index is constructed, the relative position of the wind direction and the sensitive area is taken into the control logic, and directional interception of the diffusion risk in the specific direction is achieved. Meanwhile, the problem of response lag is solved in combination with an inertial prediction model based on the concentration change rate, and an environment humidity and wind speed drift compensation algorithm is introduced, so that accurate putting and effective coverage of the deodorant under the changeable meteorological conditions are ensured, and the pain points of response lag and medicament waste of a traditional deodorization system are solved.

The invention discloses an integrated detection method and system for icing prevention and ice melting of a power transmission line, and relates to the technical field of safety protection of the power transmission line, and the detection method comprises the steps: collecting multi-dimensional data of the power transmission line, the multi-dimensional data comprising icing thickness, icing density, line tension and environmental parameters; integrating the multi-dimensional data by adopting a weighted average fusion strategy to obtain a fusion feature vector; inputting the fusion feature vector into an optimized random forest algorithm, and outputting an icing grade and an icing type; ice melting is executed in a self-adaptive mode according to the ice coating grade and the ice coating type, and the ice melting power and duration are dynamically adjusted according to ice melting parameters based on a thickness-density-power mapping relation library; in the ice melting process, ice coating thickness changes are monitored in real time, and when the ice coating thickness is reduced to be below a safety threshold value, ice melting is stopped. According to the invention, full-process automation from icing monitoring to ice melting execution can be realized, and the method is suitable for icing-preventing and ice-melting operation of the high-voltage / ultrahigh-voltage power transmission line under complex meteorological conditions.

This utility model provides a linkage transmission mechanism for a waste sorting bin, including an outer box. The inner wall of the outer box has a first movable groove, and the second movable groove extends through to the outer surface of the outer box. A linkage assembly and a lifting assembly are located inside the first movable groove. A set of guide grooves are formed on the inner wall of the outer box. An inner box is fixedly connected to the inner wall of the outer box, and a bin lid is rotatably connected to the top of the outer box. This utility model, through the linkage design in the linkage assembly, can drive the lifting assembly to move upwards quickly. The rapidly moving lifting assembly quickly converts the stepping stroke in the linkage assembly into the power for the rapid flipping of the bin lid, significantly improving the opening speed of the bin lid. The coordinated use of the linkage assembly and the lifting assembly effectively solves the response lag problem in high-frequency disposal scenarios, shortens user waiting time, and optimizes the waste disposal experience.

The present disclosure relates to the field of refrigeration technology, and particularly provides an optimization method, device, storage medium and program product of a water-cooled refrigeration system. The method obtains operation parameter data of the water-cooled refrigeration system; adopts a global parameter optimization iterative optimization algorithm, determines refrigeration side standard parameters and cooling side standard parameters that minimize energy consumption of a single water chiller based on refrigeration side parameters and cooling side parameters included in the operation parameter data; determines a target water chiller that needs to be started based on the refrigeration side standard parameters, the cooling side standard parameters, energy efficiency coefficients of each water chiller and operation characteristics of an end system; and determines operation efficiency of the target water chiller. The method effectively solves the problem of response lag of related technologies when the load changes, and guarantees operation stability and energy efficiency optimization effect of the system.

The application discloses a kind of high-sensitivity thermal sensitive coating of nanomaterial and preparation method thereof, wherein, high-sensitivity thermal sensitive coating of nanomaterial includes the following components by mass fraction: base component 30-50 parts;Hydroxylated nanometer bismuth acid lanthanum 5-12 parts;Amino-modified nanometer tin oxide antimony 4-10 parts;Polyimide-coated nanometer europium vanadate 3-8 parts;Dispersing agent 2-6 parts;Film forming agent 3-7 parts;Anti-aging agent 1-3 parts;Solvent 15-30 parts;The present application is high in thermal sensitivity, by designing hydroxylated nanometer bismuth acid lanthanum, amino-modified nanometer tin oxide antimony, polyimide-coated nanometer europium vanadate three kinds of innovative thermal sensitive components, synergistic effect of three, can significantly improve the thermal sensitive response sensitivity of coating, the thermal sensitive response sensitivity of coating is ≤0.1 DEG C, far higher than existing thermal sensitive coating (0.5 DEG C or more), can satisfy the demand of high-precision temperature detection.

The invention discloses macromolecular memory rubber for a puncture-resistant and leakage-proof tire, and relates to the technical field of macromolecular rubber materials. The material is composed of a basic rubber component, a reinforced filling component, a memory function component, a leak-proof function component and an auxiliary component, and synergistic reinforcement among the components is realized through a multi-stage internal mixing process. In the preparation process, a gradient heating mixing technology is adopted, and after plastication, dynamic vulcanization and compression molding, the composite rubber material with a three-dimensional network structure is formed. The finished rubber product has the characteristics of high strength, high toughness and self-repairing, the area of a punctured hole can be closed by more than or equal to 85% within 24 hours, the tire pressure drop amplitude is stably controlled within 5% after continuous puncturing for 10 times, and the shock resistance and the driving safety of a tire are remarkably improved.

The invention discloses a driving record anti-theft method, device and system combining remote wake-up and real-time alarm. The driving record anti-theft system comprises a main control module and an alarm module, the multi-mode sensing fusion and low-power-consumption coprocessor collaborative architecture realizes in-vehicle continuous environment monitoring as long as 72 hours after the vehicle flames out, overcomes the limitations that CN104952121B depends on main control continuous operation and CN106059051B only responds to power-off events, and can accurately identify compound theft and robbery behaviors such as approaching, touching, dismounting and the like. A hierarchical wake-up mechanism and dual-channel alarm push ensure that local audible and visual alarm and remote information push are completed within 3 seconds after an abnormal event is triggered, the problem of response lag caused by system dormancy in the prior art is solved, and reliable delivery of alarm information is ensured through 4G / 5G and Wi-Fi dual-channel redundant transmission.

This invention discloses a simulation optimization method for distribution-micro cooperative operation, belonging to the field of simulation optimization technology. It includes preprocessing grid connection point voltage data, tie-line power data, and communication delay data; constructing a distribution network power flow physical network following Kirchhoff's laws; outputting source-load power prediction curves using a long short-term memory network algorithm; obtaining a distribution-micro cooperative simulation optimization model based on residual rolling correction of tie-line impedance parameters; setting a delay penalty term in the objective function using preprocessed communication delay data; and using a particle swarm optimization algorithm to obtain power adjustment commands and generate a dynamic simulation video stream. This invention solves the problems of physical deviations caused by fixed model parameters and control failures caused by accumulated communication delays by rolling correction of tie-line impedance parameters and setting a delay penalty term positively correlated with delay. It also eliminates the defects of voltage deviation calculation distortion and inaccurate network loss assessment, improving the simulation accuracy and operational stability of distribution-micro cooperative operation.

The invention discloses a frequency and voltage response control method for a network construction type converter, which relates to the technical field of power electronics and comprises the following steps of: setting a frequency target value and a voltage target value; acquiring operation state data of the power grid and the converter through a sensor, and judging a power grid operation mode according to the operation state data; different dynamic target values are generated according to the power grid operation mode; constructing a frequency voltage prediction model by using support vector regression (SVR), inputting the dynamic target value into the frequency voltage prediction model, and outputting a predicted value vector; inputting the predicted value vector into a decoupling control model, and performing independent adjustment of frequency and voltage to obtain a control quantity; comparing the control quantity with a dynamic target value, and calculating frequency deviation and voltage deviation; according to the frequency deviation and the voltage deviation, the frequency and the voltage of the network-forming converter are adjusted; according to the method, the basic target value is set, so that a clear initial reference is provided for the operation of the network-forming converter.