466 results about "Power Fluctuation" patented technology

The invention discloses a broadband oscillation risk prediction method and system based on wide-area broadband measurement, and relates to the technical field of wide-area broadband measurement. The method comprises the following steps: firstly, collecting grid-connected point high-frequency synchronous phasor data by using a PMU device at a photovoltaic field station side, and performing filtering and time mark calibration processing to eliminate noise and ensure time consistency; performing spectrum correlation analysis on wide-area multi-station PMU data based on time mark synchronization, screening broadband oscillation candidate features, and transmitting the broadband oscillation candidate features to a scheduling master station prediction network; and finally, inputting the real-time operation parameters of the power grid and historical oscillation sample data into the network, carrying out risk assessment and trend prediction, and assisting broadband oscillation early warning and prevention and control decision. According to the method, efficient fusion of multi-area equipment data is realized, a full-system broadband dynamic monitoring view angle is formed, the oscillation dynamic state is captured in real time, the risk is pre-judged, the broadband oscillation risk caused by new energy power fluctuation and power electronic equipment transient response can be dealt with, and the dynamic monitoring requirement of a novel power system is met.

The invention discloses a hybrid energy storage optimization configuration method based on a multi-time scale regulation and control demand, and the method comprises the steps: collecting the operation data of a power system, and obtaining the power fluctuation and the frequency deviation of the power system under a short time scale through a preset high-proportion renewable energy power system model; on the basis of power fluctuation and frequency deviation, the regulation and control requirements of the power system are divided according to different time scales, different energy storage modules are correspondingly configured, and a multi-level collaborative energy storage regulation and control structure matched with the time scales is formed; based on the power system model and the mathematical model of each energy storage module, constructing a hierarchical nested optimization model oriented to multiple time scales; and selecting a typical scene from the operation data by adopting a time sequence clustering method, and obtaining the optimal capacity and power configuration of each energy storage module based on a hierarchical nested optimization model, and obtaining a cross-time-scale collaborative operation strategy. The global optimal configuration is realized by establishing a multi-time-scale collaborative hierarchical nested optimization architecture.

The invention relates to the technical field of industrial big data, in particular to a transformer consumption reduction intelligent control method and system based on a power generation end, and the method comprises the steps: building a source-load space-time correlated industrial big data set, determining an operation reference, and synchronously monitoring real-time electrical parameters; load component decoupling is executed, a basic load component is stripped, and a power fluctuation deviation parameter is extracted; reconstructing equivalent control power of a power generation end based on a nonlinear fluctuation compensation strategy; and constructing a power grid energy efficiency function to execute loss minimization optimization, determining a power supply voltage setting value and driving on-load voltage regulation. Through multi-dimensional data fusion and non-linear load reconstruction, the problem that a traditional method is difficult to deal with random fluctuation of the load is solved, collaborative optimization of transformer loss and line transmission loss is achieved, and operation energy consumption of a power supply loop of a power generation end is effectively reduced.

The invention is suitable for the technical field of power electronics and power transmission, and provides a low voltage ride-through control method and system for a network construction type converter, and the method comprises the steps: carrying out the conventional VSG control according to a VSG control strategy, and continuously monitoring the difference between the voltage of a power grid and a set reference value, so as to judge whether a fault occurs or not; when it is detected that the power grid breaks down, homodyne control is carried out on an active power control ring and a reactive power control ring of the grid-forming type converter so as to fix the phase and the amplitude of the output voltage of the converter; calculating and injecting a positive sequence compensation voltage and a negative sequence compensation voltage according to the drop degree of the power grid voltage; and according to the predicted impact current value, dynamically calculating and inputting adaptive virtual impedance. The power angle and the voltage in the fault period can be ensured to be stable, transient overcurrent is effectively restrained, and large power fluctuation is not caused.

The invention relates to the technical field of distributed energy and micro-grids, in particular to a distributed energy output high-precision prediction model, which comprises the steps of collecting data and generating a power fluctuation probability envelope; constructing a complementary voltage-stabilizing virtual subgroup with a negative correlation compensation characteristic through a sequential sequence comparison algorithm; based on a power grid agent model and a kernel function SHAP algorithm, quantizing marginal contribution values of residual disturbance power of each subgroup to frequency deviation of the common connection point; performing a non-linear mapping on the contribution value to generate a virtual impedance correction parameter; and finally, through a layered decoupling closed-loop correction architecture, determining predicted power regulation and control vacancy and generating a compensation instruction. According to the method, the complementarity and the disturbance contribution of each heterogeneous power supply are quantified, so that the high-precision prediction of the distributed energy grid-connected stability influence is realized.

The invention relates to the technical field of electric power, in particular to a line loss abnormity diagnosis method based on electric quantity fluctuation analysis. The method comprises the following steps: acquiring an electricity user and electricity data; calculating a power supply quantity change rate and a power consumption change rate according to the daily power supply quantity of the transformer area and the fluctuation degree of the daily power consumption of the transformer area, and further judging a line loss abnormity type; if the line loss abnormity type is user side abnormity, screening the electricity users, and obtaining a user side abnormity type according to the screened electricity users; if the line loss abnormity type is power supply side abnormity, calculating a power supply quantity multiple, and performing fault attribution to obtain a power supply side abnormity type; and explaining the two exception types through the SHAP so as to generate a line loss exception diagnosis report. In this way, the adaptability and robustness of the diagnosis method in a novel scene containing a distributed power supply and the like can be enhanced, the interpretability of a diagnosis result is further improved, and a clear and credible feature basis is provided for field check.

The invention relates to an alternating-current trunk line or an alternating-current power distribution network, in particular to a method for improving the stability of a wind power system through combined control of network construction type energy storage and a nine-switch UPQC. The method comprises the following steps: firstly, proposing an active regulation and inertial support control method based on a virtual synchronous machine mechanism for network construction type energy storage; and secondly, by constructing a coordination control framework, dynamic response complementation of the energy storage system and the UPQC under disturbance is realized, so that the overall frequency stability and voltage supporting capability of the system are improved. And finally, building a system model in Matlab / Simulink, setting three typical working conditions of wind power fluctuation, frequency disturbance and serious voltage drop, and carrying out scheme validity verification. Simulation results show that the method can effectively stabilize the wind power output fluctuation, enhance the frequency and voltage support capability, and significantly improve the stability of a wind power system.

The invention discloses a self-adaptive photovoltaic energy storage comprehensive optimization method and system, and belongs to the technical field of photovoltaic energy storage optimization control. According to the method, a system operation model is established based on historical and real-time operation data of a photovoltaic unit, an energy storage unit and a load side, a hybrid robust-stochastic optimization framework is introduced, a collaborative optimization model with energy balance and system stability as targets is constructed, and an initial control parameter set is solved; in the system operation process, a power fluctuation mode and energy storage response characteristics are identified through a multi-layer agent algorithm, and a dynamic energy storage control instruction is generated and corrected; and according to the cross-cycle change trend of the operation performance index, adaptively adjusting the weight and step length of the control parameter, and realizing strategy evolution and dynamic closed-loop optimization. According to the invention, cooperative operation of photovoltaic and energy storage can be realized under complex operation conditions, and the energy utilization rate and the operation stability are improved.

The invention discloses a wind power energy storage output power control method, belongs to the technical field of power system control, and particularly relates to smooth control of wind power plant output power. The method solves the problem that a power grid is unstable due to power fluctuation during grid connection of the wind power plant and the technical problem that a traditional fixed parameter control method cannot adapt to wind power fluctuation changes in a self-adaptive mode. According to the technical scheme, output power of a wind power plant is monitored in real time through a data acquisition system; calculating an output power standard deviation of the wind power plant in the sliding time window based on the collected power data; adjusting the time constant of the low-pass filter by inquiring a predefined standard deviation time constant mapping table according to the output power standard deviation; and filtering the real-time output power of the wind power plant by using the adjusted low-pass filter to generate a smooth power reference value. The method is mainly used for realizing smooth control of wind power plant output power and improving power grid stability.

The invention, which belongs to the technical field of the energy storage converter, discloses an electrical parameter sensing-based service life monitoring system for a capacitor of a network-forming type energy storage converter, comprising the following steps of: synchronously acquiring a direct-current voltage signal and a three-phase alternating-current signal of a direct-current bus capacitor through an electrical parameter acquisition module to form a multi-dimensional feature vector; a state observer built in the ESR estimation module is used for analyzing the signal, a target capacitor ESR value is obtained, and a capacitor core temperature value is obtained through back-stepping through an electric-thermal coupling field analysis model of a core temperature back-stepping module in combination with preset capacitor surface temperature data; based on the ESR value and the capacitor core temperature value, a life prediction module calculates the residual life and health degree index of the capacitor; and the power scheduling module executes capacitor health degree-power output joint scheduling according to the health degree index, adjusts the power fluctuation range of the converter, and feeds back real-time working condition data to the electrical parameter acquisition module, thereby realizing accurate monitoring of the capacitor state and intelligent scheduling of the converter power.

The invention relates to the technical field of charging pile control, in particular to an intelligent charging control method and system for a charging pile. The method includes: acquiring running state information of a power component in the charging pile; when the charging pile is switched from the constant-current charging mode to the constant-voltage charging mode, generating a power regulation strategy instruction executed by the charging pile according to the health state evaluation value, and transmitting the running state information and the power regulation strategy instruction to a battery management system of the vehicle; and the battery management system of the vehicle receives the operation state information and the power adjustment strategy indication, and adjusts the judgment logic of the battery management system on the power output fluctuation of the charging pile according to the health state evaluation value, the expected power fluctuation range and the power adjustment strategy indication. The problems that in the long-term operation of an existing charging pile, performance degradation of internal power components causes charging stability decline, and especially when a constant-voltage mode is switched to a constant-voltage mode, misjudgment of a vehicle battery management system is likely to happen, and charging is interrupted are solved.

The invention discloses a multi-energy complementary optimal configuration method and system for a new energy base, and belongs to the technical field of power system planning. The method comprises the following steps: acquiring energy base system operation parameters, power generation equipment parameters, delivery channel capacity and power market electricity price data; constructing an optimal configuration model taking a receiving end time-of-use electricity price signal as input and aiming at stabilizing new energy output fluctuation and meeting delivery channel constraint; solving the model to obtain a thermal power, wind power, photovoltaic and energy storage capacity configuration scheme and a time sequence output plan; and determining a final optimal configuration scheme by analyzing the operation stability and delivery power volatility of the configuration scheme in different pricing modes. According to the method, the technical problem that the influence of the receiving end electricity price market is not fully considered during optimal configuration of the existing new energy base is solved, an optimal configuration scheme which meets the technical constraint and adapts to the market environment can be generated, and the operation economy and stability of the new energy base are remarkably improved.

The invention discloses a 5G microwave amplifier performance test method based on automatic spectrum analysis, and relates to the technical field of data analysis, by introducing a disturbance excitation and recovery behavior comparison mechanism, the short-time dynamic response of an amplifier spectrum is actively induced, the point-by-point difference of a reference spectrum, a disturbed spectrum and a recovery spectrum is analyzed, and the performance of a 5G microwave amplifier is tested. A response-recovery ratio indicator is constructed to identify a local indentation region that is difficult to perceive in the steady-state spectrum. Compared with a traditional method depending on a frequency spectrum smoothing strategy, the method has the advantages that the problem of slight indentation in a high-frequency bandwidth is easy to cover, specific frequency point response is excited through frequency perturbation, power fluctuation or narrow-band interference, and the disturbance response and recovery capability difference of the amplifier become an evaluation basis; therefore, the recognition accuracy of nonlinear response and early failure characteristics is improved, and the stability pre-judgment capability of the 5G amplifier is enhanced.

The invention discloses an energy storage system cell equalization decision-making method, equipment, a medium and a program product, and relates to the field of battery detection equipment. In the method, when it is monitored that a target cell unit triggers a preset equalization condition, historical operation data is acquired, and based on the data, a long-term aging rate representing a long-term health risk of a cell is calculated, a power fluctuation characteristic of a system application scene is identified, and a recoverable electric quantity of a current equalization income is quantified. According to the method, the balancing task in a high-power application scene can be preferentially processed; and for other scenes, the risk urgency obtained by mapping the long-term aging rate is combined with the recoverable electric quantity to generate a comprehensive priority, and a final equilibrium decision is formed according to the comprehensive priority. By implementing the technical scheme provided by the invention, limited balance resources can be applied to the battery cells with high risk and high income, so that the overall operation efficiency and economical efficiency of the energy storage system are improved while the system safety is guaranteed.

Generally disclosed herein is a mechanism to mitigate power fluctuations of a data center by dynamically charging and discharging a battery energy storage system (BESS). According to some examples, a BESS control system can be configured to monitor power demand fluctuations and initiate charging of the BESS during periods of low power demand. One example of a period of low power demand includes active idle, wherein the workloads of the server machines frequently decrease by a small magnitude. Another example of a period of low power demand includes deep idle, wherein the workloads of the server machines decrease by a larger magnitude than the active idle for a longer duration. The system may discharge the power from the BESS during the peak power demand. The BESS control system may stabilize the data center power system through fast-acting voltage and frequency control at a system level.

The invention discloses a power control method of an electric power system for polyester staple fiber production, and relates to the technical field of industrial power load cooperative control, and the method comprises the steps: collecting real-time process parameters and power grid state parameters of each energy consumption section, and calculating the expected basic power demand of each section through a section power consumption prediction model; and in combination with a power fluctuation range predicted by the power grid load fluctuation analysis model, a multi-target dynamic power distribution optimization equation is constructed for solving, so that a target set power value of each workshop section and a total regulation power instruction of the system are obtained. And the section level is adjusted to the variable frequency driver and the heating controller based on the instruction, and the energy storage unit or the standby unit is controlled to act. The method achieves the real-time precise prediction of the power demand of each workshop section, enables the total load of the system to actively cooperate with the fluctuation requirement of the power grid through dynamic optimization distribution, effectively guarantees the stability of the production technology, and improves the energy utilization efficiency and the response capability of the power grid.

The invention relates to the technical field of photovoltaic power generation control, in particular to a rapid maximum power point tracking method based on an optimization algorithm and a variable step size strategy. According to the method, an improved intelligent optimization algorithm based on biological heuristic is adopted, and the performance is optimized through an adaptive weight factor and a dynamic search strategy; acquiring a current maximum power point by utilizing a self-adaptive step length adjustment strategy based on a power change rate and combining a momentum factor and a step length reset mechanism; identifying a global optimal region through second derivative information of a power-voltage curve and a sliding window technology; and a state evaluator based on fuzzy logic automatically selects an optimal tracking mode according to the illumination change rate and the power fluctuation amplitude. According to the method, the maximum power point of the photovoltaic system can be quickly and accurately tracked under complex and changeable environmental conditions, and the energy conversion efficiency is improved.

The invention relates to the technical field of data analysis, in particular to a wind power plant multi-dimensional operation index comprehensive evaluation system which comprises a deviation benchmark construction module, a gradient environment mapping module, a torque ripple calculation module, a dynamic interval construction module and an index generation module. In the method, a dynamic power confidence interval changing along with the environment in real time is generated by constructing a gradient vector containing a vertical height layer air density difference, finely simulating a torque pulsation waveform generated by environmental heterogeneity in a blade rotation period, quantifying a theoretical power fluctuation amplitude caused by the torque pulsation waveform, and superposing the theoretical power fluctuation amplitude to a reference error band; according to the method, a running state judgment boundary with more physical interpretation is established, meanwhile, a sensitivity weight is introduced by combining statistical morphological characteristics of wind energy flow distribution, a physical yaw angle is corrected and weighted, and multi-dimensional coupling evaluation of wind energy capturing efficiency and control precision of a unit on the basis of eliminating reasonable environmental disturbance is achieved.

The invention relates to the technical field of wind power generation control, and discloses a model prediction variable pitch control method, system and equipment based on an LPV model, and a medium, and the method comprises the steps: building a full-range nonlinear variable pitch dynamic characteristic model of a wind turbine generator; through a gap measurement theory, representative working condition points are selected from a plurality of linearization models, and a linear variable parameter fan variable pitch model is constructed by taking the wind speed as a scheduling variable; and a multi-objective function is determined, a model prediction control problem is converted into a constrained quadratic programming problem for online solving, a control input quantity is calculated, and rolling optimization is carried out. According to the method, the pitch angle change is reduced, meanwhile, the loads of the blades and the hub are further reduced, the MPC control algorithm based on the LPV model can better reduce the power fluctuation under the step wind condition, and the tower footing load is reduced.

The invention discloses an electric energy feedback collection and load peak suppression system for a wharf crane, and relates to the technical field of wharf power supply and distribution and energy management. Wherein the wharf crane comprises a quayside container crane (quay crane), a rail or rubber-tyred container portal crane (gantry crane) and the like, which are called cranes for short hereinafter. According to the system, instantaneous power, average power, peak duration and power increasing rate of a wharf power station, feedback power and feedback electric energy of a crane, capacity and charging and discharging parameters of an energy storage device, and electric energy quality indexes of a power grid are collected in real time; respectively calculating a peak impact index, a feedback absorption coefficient, a peak valley switching coefficient and a harmonic suppression coefficient, and comparing and analyzing with a preset threshold to generate a corresponding strategy; and integrating the results of the modules, carrying out unified scheduling on the energy storage device, and realizing power fluctuation compensation and stable output through a smooth scheduling strategy, thereby constructing an operation mechanism. According to the method, the instantaneous peak power of the wharf power station can be effectively inhibited, the feedback energy consumption capability is improved, the peak-valley scheduling economy is optimized, the electric energy quality is improved, and the safety, stability and energy efficiency of system operation are improved.

The invention relates to the technical field of grid-connected control of a power system, and discloses an island detection and self-synchronizing grid-connected method for an offshore floating power generation device, which is used for solving the problem that transient oscillation is difficult to effectively suppress in a self-synchronizing grid-connected process after island detection in a traditional method. According to the method, firstly, voltage and frequency signals are collected at a grid-connected interface, and accurate island identification is achieved in combination with multi-cycle deviation judgment and a self-adaptive threshold value; a virtual synchronous machine mode is switched after the island is confirmed, and transient power fluctuation and phase difference are utilized to set damping and perform voltage closed-loop calibration, so that the device is converged to be aligned with the phase and voltage of the power grid; after an alignment condition is met, gradual power injection is adopted to complete grid connection, voltage, frequency and power balance is verified and monitored through a parameter period, and graded adjustment or back-off is carried out when necessary, so that transient oscillation and power impact are suppressed in the whole process from island detection to grid connection again and stable operation, and grid connection stability and adaptability are improved.

The invention discloses a multi-source state trend integrated data fusion method for a weak support large-scale new energy delivery system. According to the invention, a data source identification and hierarchical access mechanism, a multi-source synchronization and calibration method based on a unified time reference, a topology-oriented space mapping method, a trend feature extraction method based on a sliding window and multi-scale analysis, and a state-trend integrated weak support risk characterization index system are constructed; unified modeling and online sensing of key quantities such as voltage supporting capacity, power flow margin, standby level, renewable output fluctuation and the like are realized. Compared with an existing monitoring mode depending on a single system, a single time scale or a single index, the method has the advantages that on the basis of ensuring data quality and time-space consistency, a unified data base and trend sensing capability can be provided for safety evaluation, cooperative regulation and market linkage control of the weak-support large-scale new energy delivery system; and the method has relatively high engineering applicability and popularization value.

The invention discloses an optical storage diesel micro-grid based on analog quantity control and a dynamic load tracking control method. The power grid comprises a photovoltaic power generation unit, a diesel power generation unit, an energy storage cluster, a sampling and signal processing module, an analog quantity control interface module and an energy management system. The energy management system is configured to control the energy storage cluster to perform discharge compensation under the condition that the power change rate is greater than a preset positive threshold value; under the condition that the power change rate is smaller than a preset negative threshold value, the energy storage cluster is controlled to carry out absorption charging; controlling the energy storage unit to correct the output power according to the deviation between the average charge state of the energy storage cluster and the charge state of the energy storage unit; and controlling the diesel power generation unit to stop when the total charge state of the energy storage cluster is greater than the first charge threshold percentage, and controlling the diesel power generation unit to start when the total charge state of the energy storage cluster is less than the second charge threshold percentage. Therefore, power fluctuation quick response, energy storage SOC balance and efficient starting and stopping of the diesel engine are achieved.

The invention relates to the technical field of power system energy storage and automatic control, and discloses a capacity optimization method, system and device for a multi-time-scale hybrid energy storage system, and the method comprises the steps: building and solving an initial capacity optimization model based on a multi-time-scale decomposition result of new energy power fluctuation, obtaining an initial capacity configuration parameter and a multi-time scale division parameter; controlling the hybrid energy storage system to participate in power grid frequency modulation based on the initial parameters, and collecting operation performance and equipment state data; generating a performance feedback index according to the data, dynamically correcting an adjustable parameter of the capacity optimization model based on the index, re-solving the model, and processing a division parameter and a capacity configuration parameter as associated variables in the process to obtain an updated parameter; and applying the updated parameters to the system and returning to the frequency modulation operation step to form closed-loop optimization. According to the invention, collaborative dynamic optimization of the energy storage capacity and the labor division strategy is realized, the system economy is improved, the service life of equipment is prolonged, and the operation robustness is improved.

The invention discloses a turbine generator set power oscillation emergency valve switching control method, system, equipment and medium based on a thermodynamic model, and belongs to the technical field of electric power system automation control and thermal energy power engineering, and the method comprises the steps: monitoring the operation state of a set in real time, and collecting the current data of the set; calculating a theoretical balance valve position required for maintaining the current target power in real time by using the corrected inverse thermodynamic model; and the power fluctuation condition is monitored in real time, when it is detected that power oscillation happens to a unit and valve cutting logic is triggered, the system intercepts a conventional feedback instruction for tracking the actual valve position, the theoretical balance valve position is directly used as a target instruction, and a control valve is forcibly driven to act to the valve position through a rate limiter. According to the method, it can be ensured that after closed-loop control of the unit is cut off, the valve rapidly returns to the physical balance opening degree matched with the current load, an oscillation source is effectively eliminated, severe fluctuation of main steam pressure and temperature is stabilized, and the safety and stability of the unit under the abnormal working condition are remarkably improved.

The invention relates to the technical field of energy management, in particular to a mobile power supply energy-saving control system based on energy consumption analysis, which comprises a power behavior deconstruction module, a load state judgment module, a power supply behavior trend module, a pressure relief response rhythm module and an energy consumption abnormity labeling module. According to the method, the power output sequence of the mobile power supply in the non-load state is deeply analyzed, the periodic understanding of the power fluctuation mode is realized in combination with the extraction of the voltage change point location and the current trend period, and the power fluctuation mode of the mobile power supply is obtained through the matching of the power peak section and the voltage drop sequence in the load connection state. According to the method, the continuity characteristic of a power supply behavior is judged, the starting and interruption time of a daily power supply interface is marked in a time dimension, and the time intensity of power abrupt change and an abnormal interval is identified in a voltage withdrawing sequence, so that the judgment of the power supply state of the mobile power supply is more rhythmic and trend-oriented; and the redundant energy consumption is timely identified and avoided in a non-loaded or non-periodic power supply state.

The invention discloses a transient stability enhancement control method and device for a network-forming converter, a terminal and a medium. According to the scheme, on the basis of matching control logic, a virtual power angle difference value is introduced to serve as an additional control variable, so that the converter can respond to direct-current voltage fluctuation and power angle deviation at the same time; therefore, when the phase jump or power fluctuation of the power grid occurs, the output angular frequency of the grid-forming converter can quickly respond to the phase jump by dynamically adjusting the virtual power angle reference value, so that the stability of the direct-current bus voltage is enhanced, and the phenomena of power angle oscillation and voltage instability in the transient process are inhibited.

The invention provides an accurate control method for power output of an energy storage power station, which belongs to the technical field of energy storage power stations, and comprises the following steps of: establishing a multi-dimensional monitoring data vector by collecting real-time operation data of the energy storage power station, and constructing a power output stable reference matrix and a power fluctuation characteristic matrix as control references; a virtual inertia control algorithm is used to calculate power deviation, an improved chessboard coverage algorithm is used to carry out abnormal mode identification, power fluctuation spectrum characteristics are analyzed through fast Fourier transform to establish an abnormal fluctuation identification vector, and a future power output prediction matrix is generated based on a power trend prediction function containing a neural network item. And the charge-discharge rate and the power factor of the energy storage system are adaptively adjusted according to the abnormal detection result and the prediction information, millisecond-level power output control is implemented to complete power fluctuation suppression, and the technical problem that the power output fluctuation of the energy storage power station is difficult to accurately control in real time is solved.

This invention discloses a method for enhancing and controlling the radiation of an LPP-EUV light source based on dual-pulse spatiotemporal co-constraint, belonging to the field of semiconductor manufacturing technology. This invention obtains a spatiotemporal reference by real-time monitoring of a liquid metal droplet, uses a pre-pulse laser to induce target material deformation into a fogged target cloud, and combines high-speed imaging and a hydrodynamic model to predict the time and coordinates of the target cloud's energy absorption peak. It dynamically adjusts the delay time and optical axis direction of the main pulse laser to achieve dual-pulse spatiotemporal co-constraint, and constructs a closed-loop control system through a recursive least squares algorithm with a dynamic forgetting factor. This invention effectively improves the extreme ultraviolet light conversion efficiency, controls the power fluctuation of the light source within ±0.5%, and extends the maintenance cycle of optical components by 2 times. It can be widely applied to next-generation high-power extreme ultraviolet lithography light source systems, meeting the application requirements of semiconductor miniaturization processes.

The application relates to the technical field of electrical equipment evaluation, in particular to a multi-dimensional electrical equipment stability evaluation method and device for new energy power grid connection, which comprises the following steps: based on a multi-dimensional evaluation index system, collecting multi-dimensional index data of a target electrical equipment, performing feature enhancement processing, and generating processed enhanced features; based on a grid connection power fluctuation coefficient and an equipment operation stage coefficient of the target electrical equipment, adjusting the weight proportion of each dimension and corresponding indexes in the multi-dimensional index data to obtain dynamic weights; inputting the processed enhanced features and the dynamic weights into an evaluation model combining fuzzy comprehensive evaluation and Markov chain prediction, performing stability evaluation on the target electrical equipment for new energy power grid connection, and outputting a stability evaluation result of the target electrical equipment. Therefore, the problems that in the related art, prospective decision support cannot be provided for preventive maintenance and grid connection scheduling, and it is difficult to guarantee the safe and stable operation of the power grid under high-proportion new energy access are solved.