17results about How to "Solve Oscillation Problems" patented technology

The invention provides a hardware-in-the-loop simulation test method and device for a network construction type energy storage converter, and relates to the technical field of electric power grids. The network construction type energy storage converter is connected with the simulation energy storage system and the power grid simulation device, a hardware-in-the-loop simulation test system is constructed, and control parameters of the simulation energy storage system and the power grid simulation device are adjusted based on the simulation test system in combination with test types. Various types of hardware-in-the-loop tests and semi-physical tests such as fault ride-through tests, electric energy adaptability tests and black start tests are realized, and effective evaluation of the performance of the network-forming type energy storage converter is realized. According to the method, the problem of power grid oscillation caused by the fact that the network construction type energy storage converter is connected into the power grid for testing is avoided, the accuracy of the testing result of the network construction type energy storage converter is guaranteed, accurate capturing of performance parameters of different types of network construction type energy storage converters is achieved, and the testing effect of the network construction type energy storage converter is improved.

The invention discloses a photoelectric turntable servo tracking control method, a storage medium and a system, and relates to the technical field of servo control, and the method comprises the steps: receiving target deviation value information; caching the actual position information for a corresponding time length based on the target calculation and the transmission delay time length, and using the actual position before transmission and calculation when processing the target deviation information, so that the target deviation is consistent with the actual position information in time, and the target position is obtained; according to the target deviation and the actual position information, a predicted speed is calculated and output through feedforward control, the obtained target position is input into a position ring to obtain speed output, and the speed output and the predicted speed input are combined to a speed ring. According to the established data caching and feed-forward compensation model, the servo system compensates system predictive interference in advance, carrier motion and other interference factor influences are effectively restrained, response delay is reduced, the system tracking precision is improved, the dynamic response speed is increased, and real-time smooth tracking control is achieved.

The invention discloses a PID parameter setting method for suppressing conflict between primary frequency modulation and secondary frequency modulation of a hydroelectric generating set, and belongs to the technical field of hydroelectric generating set adjustment. Comprising the following steps: S1, calculating an initial value of a PID (Proportion Integration Differentiation) parameter according to a water diversion system water flow inertia time constant and a hydroelectric generating set mechanical inertia time constant; s2, taking the PID parameter initial value of the speed regulator as a PID parameter value, solving the root of the characteristic equation in the S1, and calculating a unit power dynamic analytical expression during frequency unit step disturbance according to a Fisher method of a quartic equation; s3, calculating an analytic expression of the hydroelectric generating set power square error integral quantity based on the unit power dynamic analytic expression; and S4, calculating a speed regulator PID parameter formula for suppressing the conflict between the primary frequency modulation and the secondary frequency modulation of the hydroelectric generating set according to the analytic expression of the unit power square error integral quantity and the initial value of the speed regulator PID parameter. The problem that the dynamic process of primary frequency modulation and the dynamic process of secondary frequency modulation conflict is solved, and the adjusting capacity of the hydroelectric generating set can be brought into full play.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention relates to a distributed intelligent rice transplanter cluster navigation method based on deep reinforcement learning and speed obstacles, which comprises the following steps: acquiring a reciprocal speed obstacle and a speed obstacle vector, inputting the reciprocal speed obstacle and the speed obstacle vector into a BiLTSM network model, and acquiring an environment perception vector; the BiLTSM network model is obtained through training of a training set; and combining the environment perception vector with an ontology perception measurement value to generate an observation space, and setting a reward function for iteratively updating a multi-intelligent-vehicle obstacle avoidance strategy so as to optimize driving control of an individual level in an intelligent vehicle cluster and generate an optimal navigation scheme. The method still faces many challenges in application in the agricultural environment, the defects in the aspects of environment state representation, action mapping and reward design are overcome, and the problem of multi-machine collision avoidance in the complex dynamic environment is effectively solved.

This invention provides a grid-actively supported doubly-fed induction generator (DFIG) wind turbine control system, comprising: a DFIG converter power generation system, a wind turbine primary frequency regulation control module, a wind turbine autonomous inertia response control module, a wind turbine autonomous voltage control module, a rotor-side converter current command generation module, a rotor-side converter current control module, a rotor-side converter signal processing module, a grid-side converter synchronization angle control module, a grid-side converter AC voltage amplitude control module, a grid-side converter current command generation module, a grid-side converter current control module, and a grid-side converter signal processing module. Based on the principle that both the turbine-side and grid-side converters of the DFIG wind turbine employ amplitude and phase control, this invention achieves active support control of the grid frequency and voltage by the DFIG wind turbine unit through active primary frequency regulation, inertia response, and autonomous voltage regulation control strategies, without relying on communication with the power station controller.

The invention discloses a photovoltaic MPPT (Maximum Power Point Tracking) control algorithm, which relates to the technical field of photovoltaic control algorithms, utilizes the characteristics of simple structure, high convergence speed, high global optimization capability, wide applicability and the like of a gradient optimization algorithm, and improves the defects of premature convergence and sensitivity to control parameters of the gradient optimization algorithm. Meanwhile, the photovoltaic output energy efficiency and the stability of the photovoltaic output energy efficiency serve as the evaluation basis, an MPPT algorithm performance evaluation model is constructed through an analytic hierarchy process, photovoltaic MPPT performance is evaluated, and GTO performance is verified and improved.

The invention discloses an oscillation frequency extraction method and system based on zero crossing point detection, and belongs to the technical field of power electronics, and the method comprises the steps: firstly filtering a DC component of an oscillation signal, and obtaining an AC component of the signal; real-time sampling detection is carried out according to the obtained oscillation waveform alternating current component, and an extreme point of the oscillation waveform and corresponding time are extracted; performing stability judgment on the system by using the alternating-current component extreme point, setting an instability threshold value and instability times of a zero crossing point algorithm, and when the alternating-current component extreme point of the system is continuously detected to exceed the instability threshold value for multiple times, considering that the system is unstable; starting zero crossing point extraction and oscillation frequency calculation after judging that the system is unstable; and outputting the oscillation frequency information and guiding the virtual impedance strategy design. According to the method, the oscillation frequency can be rapidly extracted without acquiring a system architecture and external passive parameters of the converter in advance, the power supply stability of the system is improved in combination with the virtual impedance strategy, and the method has good robustness and universality.

The invention relates to the technical field of energy storage, in particular to a discharge adjustment method and device of an energy storage system, an electronic terminal and a storage medium, and the discharge adjustment method comprises the steps: obtaining the output power of a power grid end and the output power of a battery end in real time; at the initial discharge moment, the EMS issues first preset discharge power to the PCS, and the PCS adjusts discharge output power according to the first preset discharge power; after the PCS outputs the power, whether the output power of the power grid end at the current moment is smaller than the first margin value or not is judged, the output power of the battery end is periodically adjusted according to the judgment result, countercurrent can be prevented, and oscillation is avoided.

The invention discloses a system for protecting power electronic equipment in a direct-current micro-grid, relates to the field of micro-grid control, and aims to solve the problem that an existing low-voltage direct-current micro-grid protection technology lacks rapid fault point removal and inductive current oscillation suppression characteristics. The active current limiter is arranged between the DC-DC converter and the DC bus, and is used for limiting the current output by the DC-DC converter and then sending the current to the DC bus; and the controller is used for detecting the output current after current limiting of the active current limiter, comparing the output current with a preset current, controlling the IGBT switching tubes Q1-Q2 of the DC-DC converter to be switched off when the output current is higher than the preset current, and keeping the IGBT switching tubes Q1-Q2 to be switched on when the output current is not higher than the preset current. The invention is used for protecting the power electronic equipment.

The invention relates to a data-driven load frequency control method for a power system containing a network-forming converter. The method comprises the following steps: firstly, according to a power system topology, constructing a time-delay nonlinear load frequency control model containing a network construction type converter; taking the model as an environment, simulating operation acquisition data by using a PID controller, and constructing a pre-training data set; then, an agent of an actor-commentator framework is constructed, and offline pre-training is completed through a data set; and finally, accessing the intelligent agent into a system for online interaction, outputting a frequency modulation instruction by an action network, and iteratively updating parameters by combining an award and a loss function to realize self-adaptive control. Compared with the prior art, the method has the advantages of being adaptive to the dynamic characteristics of the GFM, efficient, high in robustness and the like.

The application discloses a method for suppressing speed fluctuation of a direct-current brushless motor, and relates to the technical field of motor control. The method collects three-phase current, bus voltage, rotor position signal and actual speed signal during operation of the direct-current brushless motor, and performs synchronous separation on a speed error signal. A speed fluctuation mapping model is established according to a preset electric angle interval, and corresponding compensation coefficients are configured for different electric angle intervals. A disturbance feedforward compensation amount is generated based on a disturbance component, and a commutation suppression amount is generated based on a periodic fluctuation component. The speed loop control parameters and the current loop control parameters are adjusted according to the current speed fluctuation amplitude and the current ripple level. The disturbance feedforward compensation amount, the commutation suppression amount and the adjusted speed loop control parameters and current loop control parameters are combined into a final control amount, which is output to an inverter driver. The method can take into account load disturbance suppression and commutation ripple suppression, and improve the speed stability and long-term operation disturbance resistance under low-speed heavy-load working conditions.

This invention belongs to the field of high-precision positioning technology. It discloses an inertial navigation positioning calibration method and system based on multi-source error compensation. The method includes acquiring acceleration and angular velocity data output by an inertial measurement unit (IMU), obtaining position, velocity, and attitude information through integration, and constructing navigation state variables under a unified time series. Errors in the navigation state variables are characterized and decomposed into zero-bias error, scaling factor error, dynamic coupling error, and environmental disturbance error, forming a multi-source error superposition relationship and generating an error sequence that evolves over time. Error evolution prediction modeling is performed based on the error sequence, dividing the error sequence into steady-state intervals and transition intervals. An evolution prediction function constrained by motion is constructed within the steady-state interval, and an error-driven enhancement prediction function is constructed within the transition interval. Continuity constraints are applied to adjacent intervals to obtain continuous error prediction results, thereby improving the accuracy and stability of inertial navigation positioning.

A control circuit of a switching power supply comprises a photoelectric coupler, a constant voltage controller and a constant current controller. And output control currents of the constant voltage controller and the constant current controller are connected in parallel and then are output to an input control end of the photoelectric coupler to control the magnitude of an optocoupler feedback signal. In order to prevent oscillation, constant-current control needs to be adopted, a constant-current control circuit and a constant-voltage control circuit are integrated together, constant-voltage output is adopted under normal conditions, and constant-current output is adopted during overcurrent. According to the utility model, the constant current control circuit and the constant voltage control circuit are integrated together, constant voltage output is adopted in normal conditions, constant current output is adopted in overcurrent, and through a reasonable constant current regulation method, the power supply can be ensured to keep stable current output when a load changes, and the oscillation problem is prevented, thereby improving the stability and reliability of the power supply.

This invention discloses a control method for switching a dual-wire energy storage inverter from grid-connected to off-grid operation, comprising the following steps: S1: Detecting abnormal grid conditions and disconnecting the grid-connected relay when an abnormality occurs; S2: Determining whether the absolute value of the filter capacitor voltage exceeds a predetermined threshold and whether the discharge time is less than a predetermined time limit; S3: Selecting a corresponding combination of switching transistors for high-frequency drive based on the polarity of the capacitor voltage to reconstruct the full-bridge circuit into a boost circuit; S4: Calculating the duty cycle of the switching transistors based on the dynamic relationship between the capacitor voltage and the bus voltage, and discharging the capacitor energy to the DC bus through the boost circuit; S5: Resetting the output phase angle of the energy storage inverter to zero and starting off-grid operation. This invention effectively solves the problem of voltage oscillation during off-grid startup of residential dual-wire energy storage inverters under various grid-connected to off-grid operating conditions.

The invention relates to the field of servo control, and provides a method and a device for determining a dead time compensation value of an inverter. The method comprises the following steps: determining a three-phase current instruction in a current control loop of the servo system and an actually measured dead zone characteristic curve corresponding to an inverter in the servo system; determining a dead-zone time compensation value of the inverter based on the three-phase current instruction and the actually measured dead-zone characteristic curve; and determining a dead-zone compensation coefficient, and determining a final dead-zone time compensation value based on the dead-zone compensation coefficient and the dead-zone time compensation value. According to the method and the device, the error compensation phenomenon can be avoided to the greatest extent, and the accuracy of dead time compensation is effectively improved.

The application discloses a space computing cabin active heat management system and method. The system comprises a micro-channel cold plate, a chip, an active pump-driven circulation loop, a heat pump temperature increasing subsystem, a radiation heat dissipation terminal and a pressure cooperative control module. The chip surface is close to the micro-channel cold plate. The micro-channel cold plate is connected with the active pump-driven circulation loop through the pressure cooperative control module. The active pump-driven circulation loop is connected with the heat pump temperature increasing subsystem. The heat pump temperature increasing subsystem is connected with the pressure cooperative control module and the radiation heat dissipation terminal respectively. The application has the advantages of high heat transfer efficiency, small radiation area, high heat flow impact resistance and stable operation, significantly reduces the weight and volume of the radiator, breaks through the high heat flow density dissipation bottleneck of the space computing cabin, and is especially suitable for the heat management of the high power density space data center.