704 results about "Voltage amplitude" patented technology

A low voltage ride through control method for a grid-forming inverter based on dynamic internal potential adjustment comprises the following steps: detecting a voltage per unit value of a grid-connected point in real time, and comparing the voltage per unit value with a threshold value to judge a voltage drop event and trigger low voltage ride through control; dynamically calculating active and reactive power reference values through a reactive compensation equation and an active current limiting equation according to the voltage amplitude and the power reference value before falling during the ride-through period; inputting the active reference value into a virtual rotor motion equation to generate a reference phase, and outputting a phase reference signal in combination with a dual-mode phase compensation controller; superposing the reactive reference value with the reference voltage through a reactive voltage regulating ring to generate a voltage amplitude reference signal; synthesizing an internal potential according to the phase and the amplitude reference signal, and obtaining an inductive current reference value through virtual impedance control and current amplitude limiting; and finally, a driving signal is generated through the current inner loop controller and the modulation module. According to the invention, overcurrent can be effectively inhibited, rapid reactive power support is provided, and synchronous stability and smooth transition in a fault period and a recovery process are ensured.

The invention discloses a system and a method for analyzing stability and oscillation transmission of a network-forming converter system, and belongs to the technical field of virtual synchronous generator control, and the system comprises an active power control loop which takes an active power deviation value as input, and outputs a power angle of a VSG system through an active integration part and a feedback part; the reactive power control loop takes the reactive power deviation ratio as input, and outputs the voltage amplitude of the VSG system through an active integration part and a feedback part; according to the analysis method, whether each state variable is stable or not is judged firstly, and then the intensity of oscillation transmission between the state variables is judged. According to the method, the stability of the system can be evaluated more accurately, and the accuracy of system stability analysis under dynamic disturbance is ensured; an oscillation transfer effect function is introduced, and the mutual influence between different state variables is quantitatively analyzed; and the dynamic fluctuation range of each state variable in the system can be accurately evaluated.

The invention discloses a converter collaborative current limiting method based on adaptive virtual impedance and a power loop, and the method comprises the steps: firstly building an equivalent impedance model of a converter and a power grid, analyzing the steady-state and transient characteristics of fault current, and extracting key parameters for current limiting design; when it is detected that the voltage drop of the grid-connected point exceeds a threshold value, a self-adaptive virtual impedance link is automatically put into use, and virtual resistance and reactance values are dynamically calculated according to the variation amplitude of voltage or current, so that the virtual resistance and reactance values are proportionally adjusted along with the fault degree; and when the system voltage returns to normal, the virtual impedance automatically quits, and the control continuity is ensured. Then, the active and reactive power reference values are dynamically corrected according to the voltage drop depth, a power reference signal matched with the voltage amplitude is generated, it is guaranteed that power output does not exceed the limit, and the voltage supporting capacity is improved. Finally, real-time current-limiting control of the converter and stable operation of the system are realized on the premise of not switching the control mode through the synergistic effect of the virtual impedance ring and the power ring. The method has the advantages of being high in response speed, excellent in current limiting effect, good in control continuity and the like, and is suitable for fault current limiting and voltage support control of the grid-forming converter.

The invention discloses a grid-connected inverter control method based on second-order linear active disturbance rejection, and particularly relates to the field of grid-connected inverter control. Voltage and frequency error signals between the output side of the inverter and the power grid are obtained, a pre-synchronization control model is constructed, and voltage amplitude and frequency synchronization is achieved; a second-order linear active-disturbance-rejection controller is introduced in the frequency synchronization control process, an extended state observer is adopted to estimate the output frequency, the frequency change rate and a disturbance term, and a state error feedback control law is combined to generate a frequency regulation control quantity, so that accurate frequency control is realized; after grid connection, a dual-channel LADRC power regulation controller is constructed, and decoupling tracking control is carried out on active power and reactive power; meanwhile, on the basis of fast Fourier transform processing as a stable grid-connected state criterion, the method has the advantages of being high in control precision, high in anti-interference capability, good in current waveform quality, high in adaptability and the like, and is suitable for various grid-connected application scenes.

The invention relates to the technical field of energy storage cooperative control, and discloses an improved energy storage converter grid following control algorithm, which comprises the following steps of: 1, extracting positive sequence and negative sequence components of three-phase voltage of a power grid through a double-sequence decoupling phase-locked loop, and acquiring a positive sequence axis component signal by adopting forward rotation coordinate transformation; and 2, when frequency locking is carried out based on the positive sequence axis component signal, extracting a voltage amplitude corresponding to the positive sequence axis component signal, and inputting the voltage amplitude to a feed-forward passivation module. An active power regulation technical scheme based on a frequency deviation threshold value is adopted, the technical effect of simulating the primary frequency modulation characteristic of a network-forming converter is achieved by detecting the power grid frequency deviation in real time and generating an active power compensation signal, and the defect that traditional network-following control lacks frequency active supporting capacity is overcome. And the converter can spontaneously increase the active power to stabilize the power grid frequency when the power grid frequency drops.

The invention discloses a multi-mode hybrid energy storage cooperative control method and system for a megawatt-level network-building type energy storage power station, and the method comprises the steps: S1, collecting the frequency, voltage amplitude and phase of a power grid, and the charge state and temperature of each energy storage branch, and generating real-time monitoring data; s2, determining an operation mode of the energy storage power station based on a comparison result between the frequency deviation and the voltage deviation in the real-time monitoring data and a preset threshold value; s3, based on the operation mode of the energy storage power station, performing double-layer decomposition on the power instruction through a high-pass filter and a low-pass filter to generate a super-capacitor power instruction and a lithium battery power instruction; s4, generating an internal potential amplitude and a phase angle by adopting a virtual synchronous machine algorithm; and S5, on the basis of the amplitude and the phase angle of the internal potential and the detection result of the power grid connection state, executing switching control of a network construction type control mode or a network following type control mode. The millisecond-second level multi-time scale power optimal distribution is realized; self-adaptive inertia and voltage support is carried out; and island / grid-connected seamless switching is realized.

The invention relates to the technical field of new energy power system control, and relates to a power decoupling method for cooperative control of voltage feed-forward compensation and adaptive virtual impedance. The method comprises the following steps: acquiring a power grid current and a power grid voltage, and calculating a reactive power measured value and an active power measured value of a power grid; virtual synchronous machine control is carried out, and a voltage feed-forward pre-compensation item is introduced into a reactive power control loop; calculating a reactive power control loop after VSG compensation, and obtaining VSG output side voltage and instantaneous angular frequency; self-adaptive virtual impedance control is adopted, a self-adaptive virtual impedance reference value is calculated, line impedance is dynamically adjusted, and a voltage loop input instruction voltage is calculated according to the line impedance; and adjusting the output performance of the inverter according to the instruction voltage. According to the invention, the problem of power fluctuation caused by VSG output voltage amplitude variation is effectively solved, and the dynamic influence of a power coupling item is weakened.

The invention discloses an intelligent self-adaptive suppression method for oscillation of a data-driven SVG (static var generator) grid-connected system. Obtaining the capacitor voltage of the direct current side of the SVG and the actual voltage and the actual current of the grid connection point of the SVG, and respectively calculating the active power output by the SVG and the voltage amplitude output by the SVG according to the actual voltage and the actual current; a current reference value is generated through a voltage outer loop; the active power output by the SVG, the voltage amplitude output by the SVG and the voltage of the direct current side of the SVG are input into a DeePC controller to be processed, and an additional current reference value is obtained; and then the current error is obtained by adding the current reference value output by the voltage outer loop and subtracting the actual current, and then the current error is input to the voltage inner loop for processing to obtain a modulation wave voltage amplitude signal. According to the method, the oscillation of the converter grid-connected system can be suppressed under the condition that the dynamic characteristics of the converter and the conditions of the power grid are changed, and the problems of insufficient fixed structure and parameter sensitivity of the traditional SVG are solved.

The invention relates to the technical field of power electronics and power system control, and discloses an intelligent control method and system for a multi-network converter, and the method comprises the steps: collecting the frequency deviation, the power change rate and the voltage amplitude of a power grid in real time, carrying out the filtering and feature extraction, and analyzing the coupling relation, thereby obtaining the parameter coupling strength. And if the intensity exceeds the threshold value, an inertia adjusting signal is generated through a fuzzy logic controller. And calculating a deviation correction value by combining the state evaluation response performance of the converter, and generating an optimization instruction by fusing the frequency deviation. And solving a voltage stability threshold based on the instruction, updating a coupling index, and issuing and executing after verification. And finally, updating the fuzzy rule base by adopting neural network iterative learning according to feedback data, and forming an inertia support frame with self-learning capability. According to the method, the inertia response speed and the operation stability of the multi-network converter system under high-proportion new energy access can be effectively improved, and adaptive cooperative control is realized.

The invention belongs to the field of stability analysis of a grid-connected system of a grid-building converter, and particularly relates to a grid-building converter grid-connected resonance risk analysis method considering virtual impedance, which comprises the following steps: S1, establishing a three-phase time domain differential equation and simplifying the equation into a single-phase equivalent time domain model; converting into a harmonic state space model of the main circuit; s2, constructing a harmonic state space model of a control system comprising an active power control loop and a reactive power control loop; s3, introducing a virtual impedance control link, and correcting the voltage amplitude reference phasor output by the reactive power control loop; deriving an expression of a modulation signal disturbance phasor; s4, obtaining a complete frequency domain admittance model YGSC of the network construction converter considering the influence of the virtual impedance; an open loop gain TGFM of the grid converter grid-connected system is constructed; and S5, drawing a Nyquist curve based on TGFM, and carrying out resonance risk determination. According to the method, the interaction dynamic characteristics of the network building converter and the power grid under the influence of the virtual impedance can be accurately represented, and the resonance risk of the grid-connected system is evaluated.

The invention relates to the technical field of supervision control, in particular to a new energy storage optimization control method and system, and the method comprises the following steps: collecting a grid-connected point voltage amplitude deviation, a frequency deviation and a voltage total harmonic distortion rate, and generating a power grid stress index; according to the method, the multi-dimensional state vector is constructed by collecting the grid-connected point voltage amplitude deviation, the frequency deviation and the total harmonic distortion rate to generate the stress index reflecting the power grid operation pressure, accurate quantitative sensing of the power grid state is achieved, the power grid supporting gain coefficient is dynamically generated according to comparison of the index and the preset threshold value, and the power grid supporting effect is improved. And the total required power to be responded by the energy storage system is adjusted and determined, so that the power support strength is matched with the actual demand of the power grid, and insufficient response or excessive response is avoided.

The invention discloses a VSG transient stability control method based on PSS power angle compensation and integral reactive loop cooperation, and the method comprises the steps: constructing an improved rotor motion equation compensation mechanism based on a power system stabilizer, and based on the dynamic parameters of the voltages vabc and pcc at a PCC point and the currents iabc and pcc flowing into the PCC point which are collected in real time, carrying out the compensation of the current iabc and pcc at the PCC point under the condition that the working condition is that the voltage of a power grid drops greatly. The dynamic characteristic of active power is ensured; constructing a PSS parameter optimization method based on zero point position constraint; an integral link is embedded in the traditional voltage-reactive droop characteristic, integral reactive loop control is constructed, and steady-state voltage deviation is eliminated; the output compensation power angle delta and the output voltage amplitude E are cooperatively applied and converted into dq-axis voltage components Ed and Eq, the dq-axis voltage components Ed and Eq are sent to a voltage and current double closed loop, a driving signal is generated through SVPWM, and the stability of the system is enhanced.

The invention discloses a fault ride-through coordination control method for a network construction type wind storage system. The method comprises the following steps: S1, establishing a main circuit topology model of the network construction type wind storage system; s2, considering the influence on the transient stability of the wind storage system in a system fault state by a control method based on a main circuit topology model; s3, establishing a plurality of wind storage system transient stability improvement control strategies; and S4, realizing fault ride-through coordination control of various wind storage system transient stability improvement control strategies in combination with switch control. Through strategies of active power reference value switching, energy storage power adjustment, power angle compensation, voltage amplitude switching and the like, the transient stability and safety of the system are remarkably improved, the problems of fan rotating speed fluctuation, power angle instability, short-circuit current impact and the like are effectively restrained, and the method has important theoretical significance and engineering value.

The invention discloses a variable virtual impedance implementation method and system for a network-building type converter. The method comprises the following steps: acquiring a ratio of a network-side voltage amplitude of the network-building type energy storage converter to a system rated voltage amplitude; when the ratio is smaller than a set threshold value, voltage drop occurs; at the moment, the active power given value is controlled to keep the power angle stable without divergence; meanwhile, a saturation characteristic function is calculated according to the drop amplitude of the grid-side voltage, and the output value of the virtual internal potential is changed based on the saturation characteristic function, so that the virtual impedance value in the control structure is changed, and the current limiting and voltage supporting requirements of the low-voltage ride-through strategy are met. The virtual impedance value can be changed according to different voltage drop degrees, and meanwhile the saturation characteristic is achieved.

The invention discloses an interference suppression measurement method for a grounding resistor, and relates to the technical field of interference resistance, and the method comprises the steps: injecting a detection current into a grounding electrode, and synchronously collecting an original voltage signal at two ends of the grounding electrode and a time domain waveform of the detection current; performing time domain segmentation on the original voltage signal, performing linear frequency modulation wavelet transform on the signal in each time period, generating an initial time-frequency matrix, extracting a time-frequency ridge line from the initial time-frequency matrix, identifying interference information, obtaining an interference-removed time-frequency matrix, optimizing the interference-removed time-frequency matrix through robust kernel principal component analysis, and obtaining an interference-removed time-frequency matrix; a synchronous redistribution operator is used for carrying out signal purification, a pure time-frequency matrix is obtained, linear frequency modulation Z transformation is carried out on the pure time-frequency matrix, voltage amplitude and frequency are extracted, an energy centroid method is used for correcting the voltage amplitude and frequency, interference can be effectively restrained, and the grounding resistance measurement precision is remarkably improved.

The invention belongs to the technical field of state monitoring and fault diagnosis of high-voltage power equipment, and provides an environment-friendly GIS partial discharge trigger criterion construction method and system, and the method comprises the steps: collecting the gas concentration change rate [delta] C X (t), the peak voltage amplitude A UHF and the pulse number N p in unit time of a decomposition product of environment-friendly GIS equipment in the discharge process; time sequence synchronization and space fusion are carried out, and a fusion feature vector is constructed; a real-time partial discharge triggering criterion is obtained through calculation; a sliding window statistics and Bayesian probability updating mechanism is adopted to construct a partial discharge trigger dynamic threshold and alarm logic which can be adjusted along with the change of the operation condition and the environment; and outputting the current partial discharge risk level according to the amplitude and variation trend of the real-time partial discharge trigger criterion relative to a preset risk level threshold. According to the method, the sensitivity and the precision of detecting and judging the partial discharge event of the environment-friendly GIS are improved.

The invention discloses a mode switching method, device and equipment of an energy storage converter and a storage medium, and relates to the technical field of power grid control, and the method comprises the steps: obtaining a multi-mode control grid-connected model of the energy storage converter, and the grid-connected model comprises a grid-following type control model and a grid-constructing type control model; based on the grid-connected model, injecting a high-frequency small signal into a power grid through an energy storage converter, and processing the high-frequency small signal by adopting a discrete Fourier transform algorithm to obtain grid-connected point voltage and current response; obtaining a power grid impedance parameter according to the grid-connected point voltage and current response; calculating an operation short-circuit ratio according to the power grid impedance parameter in combination with the actual output power of the energy storage converter and the power grid voltage amplitude; according to the operation short-circuit ratio and the short-circuit ratio threshold value, mode switching is carried out on the following network type control and the construction network type control, and the method can improve the accuracy of mode switching of the energy storage converter.

The invention discloses a radial power distribution network topology identification method, system and device and a medium. The method comprises the following steps: acquiring node voltage amplitude measurement data; calculating a sample covariance matrix based on the voltage amplitude measurement data to obtain the covariance of the voltage amplitude between the nodes; estimating a precision matrix of the covariance matrix through a graph lasso model; calculating a partial correlation matrix based on the precision matrix, wherein the partial correlation matrix is used for representing a direct correlation coefficient between nodes in the radial power distribution network; and deriving an adjacent matrix through a maximum spanning tree based on the partial correlation matrix to obtain a radial power distribution network topological structure. According to the method, sparse learning and partial correlation analysis are combined to deal with the problem of limited data volume; the key condition dependency relationship between the nodes can be quickly and accurately identified only through voltage amplitude measurement data without a large number of samples and phase angle information, and the identification precision is high.

A seamless switching method and device for network-oriented MMC-HVDC converter station construction and network following control, relates to the field of power system control technology, without changing the inner loop current control, by constructing a unified outer loop reference current and initializing the setting of phase angle and voltage amplitude, the continuity of output voltage power angle and amplitude in the control mode switching process is ensured. The technology can quickly respond to changes in grid conditions, avoiding system disturbance and instability caused by mode switching. Simulation results show that this technology effectively reduces the impact of control switching on the system, significantly improves the stability and reliability of the system, and is suitable for flexible HVDC transmission systems under various grid conditions, especially in weak grid access and frequency support scenarios.

The invention discloses an electrical carbon power flow solving model construction method and device based on a physical guidance correction neural network and an electrical carbon power flow solving method. The model construction method comprises the following steps: acquiring historical operation data of each node of a power system; constructing and initializing an electrical carbon power flow solving model; in the training process, the model outputs a voltage amplitude, a voltage phase angle and node carbon potential according to input unit injection power and load power; calculating boundary condition loss by comparing a predicted value with an actual value; calculating a power residual error and a carbon potential residual error, and determining physical constraint loss by combining physical constraints of power balance and carbon potential balance; based on the assumption that the power residual error and the carbon potential residual error at the next historical moment are 0, physical guidance correction loss is determined, and then total loss is obtained; and converging the model through iterative training to obtain a trained model. By implementing the method, the problem of low calculation efficiency caused by depending on load flow calculation in the prior art can be solved, and efficient calculation of the carbon emission of the power system is realized.

The invention relates to the technical field of power systems, and discloses a wind and light output scene-oriented power system power flow data reconstruction method, system and device and a medium, and the method comprises the steps of constructing structured boundary input data; generating a voltage amplitude and a phase angle estimation vector of each node through a deep neural network model, and taking the voltage amplitude and the phase angle estimation vector as a power flow initial solution; performing physical constraint check on the initial solution, identifying out-of-limit nodes and determining an adjustable point set with reactive power regulation capability; and in the range of the adjustable point set, constructing an optimization function, solving to obtain a local adjustment quantity, correcting the initial solution, and generating a final power flow solution meeting the operation constraint of the power system. According to the method, data-driven modeling and physical constraint checking are fused, overall mapping is performed on a high-dimensional scene formed by wind and light output and load by using the deep neural network, the problem that the convergence performance is sharply reduced when the dimension is increased and the number of scenes is increased in a traditional iteration method is avoided, and rapid, stable and engineering-available power flow data generation is realized.

The invention provides a power flow convergence method and system based on direct current power flow preprocessing and staged decoupling, and belongs to the field of power system analysis and control. Comprising the following steps: performing multi-stage verification and parameter adjustment on original power flow data, executing active balance preliminary verification of a power system, and generating a node active power set initial value set; setting an initial value set based on the active power of the nodes to carry out direct-current power flow calculation, obtaining an initial phase angle of each node, identifying a heavy-load line with a power angle difference exceeding a preset threshold value, and carrying out adjustment to obtain initial phase angle distribution; in combination with a preset initial voltage amplitude and the initial phase angle distribution, performing staging decoupling load flow calculation and adjustment to obtain load flow parameters; and taking the power flow parameter as an initial value, and carrying out full-coupling power flow calculation to obtain a final power flow solution meeting the convergence precision requirement. According to the method, the physical root of the convergence problem can be intelligently diagnosed and positioned, and the convergence and robustness of load flow calculation under complex working conditions are effectively improved through small-range targeted adjustment.

The invention belongs to the field of power grid system control, and discloses a power grid system virtual impedance dynamic control method, system and device and a medium. The control method comprises the following steps: judging whether the power grid system breaks down or not by acquiring power characteristics of electronic equipment in the power grid system, including content proportions of voltage harmonics and current harmonics, current amplitude changes and positive and negative sequence voltage amplitudes. When a fault occurs, normal virtual impedance is calculated and combined with response current of harmonic waves to obtain dynamic virtual impedance, and then self-adaptive virtual impedance is comprehensively obtained and switched to the impedance value. According to the method, rapid and accurate dynamic current limiting and reactive power supporting under the complex fault working condition are achieved, the adaptability and stability of power electronic equipment to power grid faults are improved, fault current is effectively restrained, equipment damage is prevented, and meanwhile the transient characteristic and reliability of a system are enhanced.

The invention belongs to the technical field of electric appliance insulation testing, and particularly relates to a switch cabinet insulation state evaluation method based on transient overvoltage signal analysis, which comprises the following steps: acquiring a transient overvoltage signal of a switch cabinet bus, and obtaining a first-order differential sequence and a phase space trajectory through differential filtering; by calculating the vertical deviation degree of a phase space trajectory motion vector relative to a reference vector, the trajectory deviation degree is obtained, and a divergence accumulation index is calculated so as to represent the geometric distortion of the waveform; estimating the oscillation frequency and the voltage amplitude of the signal, and obtaining the frequency amplitude synchronism based on the correlation of the variation of the oscillation frequency and the voltage amplitude so as to represent the nonlinear physical characteristics of the insulating medium; and the divergence accumulation index and the frequency amplitude synchronism are input into a preset two-dimensional characteristic plane, and the insulation state of the switch cabinet is output, so that the evaluation accuracy is effectively improved.

The invention discloses a dry-type air-core reactor loss measurement method, device and system, and relates to the technical field of reactor loss factor measurement. The method comprises the following steps: in response to an obtained electrical parameter signal of the dry-type air-core reactor, performing Fourier transform on a voltage signal in the electrical parameter signal, and determining the fundamental wave purity of the dry-type air-core reactor; the electrical parameter signal comprises a voltage signal and a current signal, the voltage signal comprises a voltage amplitude and a voltage phase, and the current signal comprises a current amplitude and a current phase; based on the current amplitude and the phase difference between the voltage phase and the current phase, determining a harmonic judgment value of the dry-type air-core reactor; determining a defect correction coefficient of the dry-type air-core reactor based on the phase difference between the voltage phase and the current phase; and determining the loss factor of the dry-type air-core reactor based on the fundamental wave purity, the harmonic judgment value and the defect correction coefficient of the dry-type air-core reactor. According to the invention, the identification precision of the defects of the dry-type air-core reactor can be improved.

The invention belongs to the technical field of direct-current power transmission of a power system, and provides a large-scale new energy cluster black-start steady-state control method and system, and the method comprises the steps: unlocking a receiving-end MMC when the capacitor voltage of a half-bridge sub-module is consistent with the capacitor voltage of a full-bridge sub-module, and unlocking a sending-end MMC after the charging of all sub-module capacitors is completed, the DC voltage of the sending end MMC is adjusted based on the cooperative control of the new energy unit and the sending end MMC, when the DC voltage is adjusted to 0, the DC voltage is adjusted to 1.05 p.u. Based on the receiving end hybrid MMC, the diode uncontrolled rectification is successfully input, the DC voltage is adjusted to a rated value from 1.05 p.u. Based on the receiving end MMC, the power of the new energy station is increased, and the power of the new energy station is increased. And black start is completed until the large-scale new energy cluster sending-out topology recovers normal operation, the sending-end hybrid MMC operates at constant zero direct-current voltage by adjusting the alternating-current voltage amplitude of the new energy station, and black start steady-state control is completed.

The invention relates to the technical field of electric switches, in particular to an electric disconnecting switch interlocked with a pole-mounted circuit breaker and a control method thereof, and the method comprises the steps: obtaining standard coil current data, actual coil current data, main loop three-phase current data, power side voltage data and load side voltage data, and carrying out the preprocessing; determining time division points by using the wave crest and wave trough distribution characteristics so as to divide stage intervals; the health coefficient of the pole-mounted circuit breaker is obtained through stage interval similarity analysis; calculating an electrical isolation coefficient by combining the main loop current level difference and the bilateral voltage amplitude phase difference; and performing hierarchical interlocking control on the electric isolation switch based on the health coefficient and the electrical isolation coefficient. According to the invention, a two-dimensional evaluation system of mechanism health pre-judgment and electrical isolation hard criteria is constructed through multi-source data fusion, and the safety and reliability of distribution network operation are improved through a hierarchical interlocking control strategy.

The embodiment of the invention provides a voltage exception processing method based on edge calculation, a voltage exception deployment method based on edge calculation and equipment. The method is applied to an edge computing device, the edge computing device is deployed at a predetermined power distribution network node, and the method comprises the following steps: collecting operation parameters of the power distribution network node; extracting a voltage feature vector in the operation parameters, wherein the voltage feature vector comprises at least one of the following: a change rate of a voltage amplitude, a sudden change degree of a voltage phase and a frequency of voltage fluctuation; inputting the voltage feature vector into a preset voltage identification model for processing to obtain a voltage identification result of the power distribution network node; and when the voltage identification result is the voltage abnormal state, generating a voltage adjustment instruction which is used for adjusting the operation parameters of the power distribution network nodes so as to restore the voltage to a predefined voltage range. According to the method, the problem that it is difficult for the power distribution network to quickly identify voltage abnormity and make a response quickly can be effectively solved.

The invention relates to the technical field of computer display, and discloses an intelligent display optimization method and system for a notebook computer, and the method comprises the steps: detecting an environment illumination change signal, an application scene switching signal, a battery electric quantity change signal and a user interaction signal, and triggering a display optimization process; executing a display optimization process, and performing coupling relationship analysis on the backlight PWM modulation frequency, the RGB three-primary-color gain value, the liquid crystal driving voltage amplitude and the display module power consumption value to obtain a display coupling influence matrix; constructing a display system dynamic association model; performing nonlinear power consumption constraint boundary calculation on the current battery charge state value to obtain a display parameter dynamic constraint range; and performing display quality and power consumption balance solution based on the display parameter dynamic constraint range to obtain a display control instruction set, so that real-time dynamic control on display hardware can be realized, and compared with an off-line optimization or periodic adjustment mode in the prior art, the method has better real-time performance and adaptability.

The invention discloses a network construction type SVG (static var generator) control method based on data-driven optimal self-synchronization. Obtaining the capacitor voltage of the direct current side of the SVG and the actual voltage and the actual current of the grid-connected point; constructing a DeePC controller input according to the actual voltage of the grid-connected point, the SVG direct current side capacitor voltage and a preset reference value, and obtaining a frequency deviation through the processing of the DeePC controller; adding the frequency deviation and a power grid rated frequency to obtain a controller frequency, and integrating to obtain a modulation wave phase signal; according to the SVG output voltage reference value, the actual voltage is sequentially processed by a voltage outer loop, current amplitude limiting and current inner loop to obtain a modulation wave voltage amplitude signal; and processing the modulated wave phase signal to obtain a modulated wave signal. According to the method, the control sequence is optimized online by directly utilizing the voltage data collected in real time, the mismatching risk of a traditional model is avoided, and a reactive power support solution with better dynamic response and autonomous toughness is provided for a new energy power grid.