96 results about "Co-simulation" patented technology

The invention discloses a distribution-micro collaborative operation simulation optimization method, which belongs to the technical field of simulation optimization, and comprises the steps of preprocessing grid-connected point voltage data, tie line power data and communication time delay data, constructing a power distribution network power flow physical network following a Kirchhoff's law, outputting a source load power prediction curve by using a long short-term memory network algorithm, and calculating the distribution-micro collaborative operation according to the source load power prediction curve. And a distribution-micro collaborative simulation optimization model is obtained based on residual error rolling correction tie line impedance parameters, a delay penalty term is set in a target function in combination with the preprocessed communication delay data, a power regulation instruction is obtained by using a particle swarm optimization algorithm, and a dynamic simulation video stream is generated. According to the invention, through rolling correction of the tie line impedance parameters and setting of the delay penalty term positively correlated with the time delay, the problem of control failure caused by physical deviation caused by model parameter solidification and communication time delay accumulation is solved, and the defects of voltage deviation calculation distortion and inaccurate network loss evaluation are eliminated. And the simulation precision and the operation stability of distribution-micro cooperation are improved.

The invention relates to the technical field of traffic infrastructure operation and maintenance, in particular to a bridge dynamic load intelligent operation and maintenance system based on digital twinning, which comprises a digital twinning modeling module, a dynamic load monitoring module, a data processing and simulation analysis module, a health state evaluation and early warning module and an operation and maintenance decision support module. According to the invention, through multi-source heterogeneous data standardization processing, cross-scale co-simulation fused by a high-fidelity finite element and a reduced-order proxy model, and model dynamic calibration driven by measured data, high-precision and high-efficiency core analysis support is provided for the system; and on the basis of load history inversion, probability fatigue life prediction of a high-speed agent model and failure probability calculation and graded early warning under logarithmic normal distribution, the accuracy of structural performance analysis and the perspectiveness of risk pre-judgment under the dynamic load of the bridge are greatly improved, and a scientific and reliable core basis is provided for subsequent operation and maintenance decisions.

The application relates to the field of photonic device modeling, and discloses a parameterized optoelectronic joint simulation platform construction method for optoelectronic chip design, which is characterized in that, in an electronic design automation platform, a unified model framework of a photonic device is constructed based on a hardware description language, and conversion between frequency domain response and time domain response is realized in the model, including the following steps: a general VerilogA model framework is constructed based on the frequency domain response of the photonic device; a frequency-time domain numerical conversion mechanism is realized in the model; and for the photonic device with dispersion characteristics, a parameterized time domain model is constructed based on a finite impulse response. The application can directly embed the photonic device model into an electronic circuit simulation environment, co-simulate the electronic device, support time-frequency domain analysis of the cascade structure and the loop structure, thereby avoiding the complicated steps of separate simulation by relying on external simulation tools in the process of optoelectronic chip design, and further improving the design efficiency and iteration speed of the chip.

The invention discloses a multi-level voxel simulation system and a cross-level communication method thereof, and relates to the technical field of computer simulation and physical modeling. The system of the present invention includes at least two levels of voxel grids (e.g., coarse grids and fine grids), each voxel in the coarse grid representing a voxel region in the fine grid. During simulation, the coarse hierarchy model quickly simulates global behaviors or performs coarse collision detection, and the fine hierarchy model performs fine calculation on local key areas. When a potential event is detected by the coarse hierarchy, deep simulation of the corresponding fine hierarchy region is triggered through a communication mechanism; and after a fine result is obtained through fine hierarchy calculation, key information is fed back to the coarse hierarchy for global state updating. The hierarchies are kept consistent in modes of sharing occupation information, boundary conditions and the like, so that cross-scale co-simulation is realized. According to the method, waste of calculation in an open area is avoided, and the simulation precision of a detail complex area is ensured.

This invention discloses a method for predicting electromagnetic radiation from cables. First, a one-dimensional conductor model of the target cable is established in a three-dimensional simulation space, and its axial direction is divided into multiple segments. Current data for each segment is solved using the finite-difference time-domain method. Then, the three-dimensional simulation space is discretized using a Yee grid, and virtual observation points corresponding to actual observation points are determined. Standard electric field and standard magnetic field update equations are established on the Yee grid based on Maxwell's equations. A field-circuit co-simulation process is established, and in each time step iteration, the current data is equivalently coupled to the standard electric field and standard magnetic field update equations to achieve synchronous updates of transmission line current and spatial electromagnetic field. Finally, this process is executed until a preset termination condition is met, and the time-domain electromagnetic field response at the virtual observation points is extracted as the time-domain electromagnetic radiation prediction result. The advantages are high prediction accuracy and high prediction efficiency.

The invention provides a processor core co-verification debugging method, which comprises the following steps of: in a co-simulation running process of a processor core to be tested, capturing an output verification event, performing standardized storage, and generating a trace file and an interface specification file; automatically generating an independent verification framework compatible with the to-be-tested processor core interface according to the interface specification file; and loading the trace file to drive the verification framework to run, and separating from the processor core to be tested to carry out independent debugging and iteration. According to the invention, the efficiency and reliability of large-scale processor design verification are improved, and the resource overhead is reduced.

The present application relates to a kind of hot rolling production line energy flow and carbon flow, material flow collaborative simulation model construction method, including energy flow, carbon flow, material flow collaborative operation, establish unified space-time, unified granularity data base;Create association rule layer: for energy flow, carbon flow, material flow collaborative relationship, coupling analysis establish unified association rule;Respectively for material flow and energy flow, energy flow and carbon flow, material flow and carbon flow, material flow and carbon flow and energy flow establish network model, the model of mutual relationship and overall relationship of three is established;Energy flow, carbon flow, material flow network modeling is simulated and characterized simulation, can more intuitively show energy flow, carbon flow, material flow network and collaborative operation law;Intuitive display hot rolling production line material flow, energy flow, carbon flow collaborative operation law is realized, for hot rolling production line intelligent production, energy saving and cost reduction, reduce carbon emission etc. Provide more detailed and scientific decision-making basis.

The invention discloses a CFD-based wave glider multi-body dynamics simulation method and system, and the method comprises the steps: building an umbilical cable flexible dynamics equation through employing a concentrated mass method, and obtaining an umbilical cable flexible wave glider rigid-flexible coupling dynamics model through employing a floating body and submerged body dynamics equation as a boundary condition; the method comprises the following steps: constructing a geometric model of a floating body, a submerged body and a hydrofoil, creating a background fluid domain, carrying out regional division on the background fluid domain and the geometric model by utilizing Boolean operation, and constructing a hydrofoil-seawater bidirectional fluid-solid coupling CFD simulation model of the wave glider; building a co-simulation interface based on MATLAB-Fluent, executing time domain co-simulation and iterative updating based on the co-simulation interface, and obtaining power data in the operation process of the wave glider; according to the method, the flexible effect of the umbilical cable and the hydrofoil is introduced into the dynamic model of the wave glider, high-precision fluid-solid coupling of seawater and a structure is realized based on CFD, and the kinematics and dynamics behavior prediction precision in the operation process of the wave glider is improved.

This invention relates to the field of digital twin technology, specifically to a two-dimensional spatial multi-device collaborative coverage simulation method based on digital twins. The method includes acquiring the elevation grid, slope vector, regional soil friction coefficient, and structural parameters of the agricultural machinery such as wheelbase and center of gravity of the area to be operated; calculating the dynamic vertical load and lateral tilting stability moment of each wheel using kinematic and equilibrium models; calculating the lateral slip yaw distance and longitudinal drive slip ratio of the agricultural machinery based on the Coulomb criterion and friction force limits; dynamically correcting the theoretical turning radius and nominal width using slip data to generate a high-precision path node sequence; finally, converting the nodes into four-dimensional spatiotemporal bounding boxes for overlap detection; adjusting the timestamps according to the acceleration response limits of the agricultural machinery entities; and outputting the multi-machine collaborative operation trajectory flow. This invention achieves high-fidelity collaborative simulation of multiple machines through deep coupling of physical fields.

This invention belongs to the field of energy simulation technology and relates to an energy flow network simulation system and method for steel enterprises. It includes: a system configuration module for configuring parameters based on user-inputted information and forming a structured configuration data package; a front-end operation module for configuring a visual interactive interface based on the configuration data package; generating a Gantt chart based on pre-set production and maintenance plans; and drawing a dynamic energy flow diagram based on user-defined equipment and energy nodes; and a back-end service module for calculating energy prediction results based on the Gantt chart, dynamic energy flow diagram, and configuration data package using a pre-set production and consumption model, and performing scheduling optimization when energy prediction results are unbalanced to obtain an energy scheduling balance result. This invention achieves collaborative simulation of production and energy, more intuitively displays the energy balance process, provides a more comprehensive simulation platform for the steel industry, and facilitates systematic management by enterprises.

The invention discloses a pipe gallery robot-dog collaborative operation simulation and optimization method and system based on a large model and digital twinning. The method comprises the steps of constructing a pipe gallery digital twinning system framework, dynamically correcting an environment dynamic model based on a physical information neural network, and constructing a deep neural operator mirror image model to perform high-fidelity simulation and task planning. Analyzing a natural language instruction of a user through a large language model control interface based on a retrieval enhancement generation technology and generating an executable multi-machine-dog cooperative control instruction sequence; simulation verification and safety performance evaluation are carried out on an instruction sequence in a digital twin system, an operation quality and energy consumption prediction sub-model is constructed based on a mirror image model, and global dynamic collaborative optimization of tasks, charging and multi-machine dog resources is realized through mixed integer programming in combination with a virtual charging network and a knowledge graph rule base; and deploying, running and generating a natural language report and feeding back to the user. And integrated operation of man-machine natural interaction, virtual-real collaborative simulation and intelligent scheduling optimization in pipe gallery operation and maintenance is realized.

The present application relates to the technical field of numerical simulation, in particular to a centrifuge parameter optimization simulation software system, comprising a quantum-classical hybrid data preprocessing unit, a quantum computing simulation and model construction unit, a quantum optimization algorithm execution unit, a quantum-classical hybrid simulation verification unit, and a quantum knowledge base and dynamic learning unit. The present application realizes efficient search of a multivariable parameter space and rapid convergence of 15-dimensional parameters by synergistically running a variational quantum feature solver, a quantum approximate optimization algorithm, and a quantum gradient descent and classical ADAM algorithm fusion, improves global optimization efficiency, and, with the aid of dynamic task scheduling, cross-scale feature fusion, and error mutual feedback optimization, guarantees the accuracy of the synergistic simulation of the nanometer to micrometer separation process and corrects the quantum computing decoherence error.

The invention provides a manufacturing method of a vehicle gauge level power module, which belongs to the technical field of power modules, and comprises the following steps of: calculating a parasitic inductance predicted value of a busbar laminated structure body through a boundary element fast multi-pole hybrid algorithm, and adjusting an interlayer distance value or an insulating film thickness value according to a deviation ratio; a cross-scale collaborative simulation platform is adopted to analyze interface thermal stress distribution of a silicon nitride ceramic substrate and a copper metal layer, a particle contact interface Monte Carlo model is utilized to simulate porosity evolution in the sintering process, and a physical information neural network replaces the model to predict temperature field and pressure field evolution. And a sintering quality objective function and a mechanical performance objective function are constructed to perform multi-objective optimization, and sintering parameters are dynamically adjusted according to function values. The technical problem that parasitic inductance and sintering layer quality cannot be accurately controlled at the same time in the design and manufacturing process of the vehicle gauge level power module is solved.

The invention provides a remote semi-physical simulation error compensation method and system. The remote semi-physical simulation error compensation method comprises the following steps: S1, acquiring air situation information of our radar guidance product and an attacking target; s2, predicting the maneuvering type of the strike target according to the our radar guidance product and the air situation information of the strike target; s3, according to the maneuvering type of the strike target, track prediction is carried out on the strike target; and S4, according to the maneuvering type and a trajectory prediction result, finishing compensation of a remote simulation error. According to the method, the technical effect of reducing simulation errors caused by remote data interaction time delay in radar guidance product cluster co-simulation is achieved.

The invention discloses a method for analyzing interaction behaviors of wire-wound fuel rods after irradiation deformation. The method comprises the following steps: defining a material constitutive structure based on an ABAQUS explicit material subprogram to obtain rod bundle irradiation deformation characteristics; using SOLIDWORKS to reconstruct the geometric structure of the deformed rod cluster; the influence of contact behaviors on grid division quality is eliminated by adjusting the rod bundle distance and the rod-winding wire distance, grid division is carried out by adopting an unstructured grid and boundary layer optimization strategy, and a transient turbulence pulsating pressure field is captured by a wall surface self-adaptive local vortex-viscous model based on large vortex simulation; explicitly defining a rod bundle and a winding wire contact pair; the fluid time-varying pressure load is mapped to the solid surface to execute transient dynamic calculation, and vibration displacement response and contact force time history data are synchronously output; the vibration dominant frequency is identified through fast Fourier transform, and the resonance risk is positioned in combination with the inherent frequency of the structure. According to the invention, co-simulation of irradiation deformation of the wire-wound fuel rod bundle and wire-wound rod bundle solid coupling response can be realized.

The embodiment of the invention provides a multi-agent co-simulation control system of an information energy system, and the system consists of multiple agents, a data processing module, a software defined network and a co-control simulation platform. Unified perception and intelligent decision making of the global state of the energy system are realized, and the self-adaption and autonomy level of the system is improved. Flexible scheduling and safe collaboration of communication resources are realized through the software defined network, and the robustness of the system in dynamic change is enhanced; local control real-time performance and global optimization economical efficiency are effectively balanced through a hierarchical collaborative system of edge, fog and cloud computing; through a high-fidelity closed-loop simulation environment, full-period verification and continuous optimization capability is provided for a control strategy and system evolution.

The invention provides a switching power supply system-oriented efficient global optimal multi-physics co-simulation method and system, and the method comprises the steps: defining a hybrid design space containing discrete variables and continuous variables, and constructing a composite objective function; generating a small number of parameter combinations of the discrete variables and the continuous variables by adopting a mixed horizontal orthogonal array to form an initial sample set; performing multi-physical field simulation on the initial sample set to obtain a performance observation value; constructing an initial Gaussian process proxy model based on the initial sample set and the performance observation value; a discrete forced continuous random sampling strategy is adopted to generate a large number of global uniform samples, iteration is carried out through a Bayesian optimization framework based on the initial Gaussian process proxy model, and optimal candidate points are obtained; and when the composite objective function converges or reaches the maximum number of simulation times, outputting a global optimal design parameter combination.

This invention discloses a method, device, electronic equipment, and storage medium for real-time reactive power control in distribution networks based on co-simulation, belonging to the field of smart distribution network operation control. The method includes: acquiring real-time active power values ​​of each photovoltaic inverter in the distribution network, as well as real-time active load values ​​and real-time reactive load values ​​of each load node; generating an initial population containing multiple sets of reactive power control vectors based on the real-time active power values; determining a target reactive power control vector from the initial population through iterative optimization, and controlling each photovoltaic inverter to adjust its power according to the target reactive power control vector. By implementing this invention, the problems of cumbersome modeling and difficulty in adapting to complex distribution network topology changes caused by relying on the construction of explicit mathematical models in existing technologies, and difficulties in convergence or even no solution in optimization under severe source-load fluctuations due to the use of hard voltage constraints, can be solved.

The invention relates to the technical field of unmanned underwater vehicle clusters, in particular to a digital simulation method for an unmanned underwater vehicle cluster to simulate an actual environment. The method comprises a software architecture design method capable of being used for co-simulation among multiple unmanned underwater vehicles. Constructing an unmanned underwater vehicle cluster digital simulation method capable of being deployed under various operating systems; constructing a design method capable of simulating underwater acoustic communication in multi-unmanned underwater vehicle simulation; the unmanned underwater vehicle cluster digital simulation method based on modular design, parameter display, information interaction and network communication design is constructed. And finally, on the basis of adding an unmanned underwater vehicle hydrodynamic resolving model, simulating each sensor in the unmanned underwater vehicle and underwater acoustic communication, realizing single or multi-platform simulation and co-simulation of the unmanned underwater vehicle cluster, and providing a digital simulation verification environment for the unmanned underwater vehicle cluster. The research and development efficiency of the unmanned underwater vehicle cluster is improved, and the research and development and test cost is reduced.

The invention provides a macro-micro collaborative automatic driving scene generation method facing real traffic flow. A high-authenticity traffic flow environment and a vehicle interaction scene are constructed through SUMO-CARLA bidirectional collaborative simulation to realize high-authenticity simulation test scene generation. Comprising the following steps: deploying an automatic driving to-be-tested vehicle and a non-player control vehicle in a CARLA high-fidelity simulation platform; in an SUMO macroscopic traffic simulation engine, background traffic flow generation driven by NGSIM real traffic data is imported; modeling the interaction process of a to-be-tested vehicle and an NPC vehicle according to the Markov game, designing a deep reinforcement learning strategy network model fused with multi-modal input, training by adopting a centralized training-distributed execution multi-agent architecture, and performing strategy optimization by utilizing a reinforcement learning optimization algorithm to obtain a convergence strategy; and deploying an optimized convergence strategy, and generating an automatic driving simulation test key scene based on evaluation indexes such as scene authenticity, effectiveness and efficiency.

The invention discloses a vehicle drivability and dynamic property co-simulation method, device and equipment and a storage medium, relates to the technical field of simulation testing, and discloses vehicle drivability and dynamic property co-simulation, which comprises the following steps: calling a verified physical component library of a simulation platform according to vehicle architecture information to construct a vehicle dynamic model, loading the vehicle dynamics model to a target simulation environment; integrating a vehicle control strategy model to the target simulation environment; in the target simulation environment, simulation is carried out according to a driver operation instruction, and a target simulation result is obtained; and performing drivability and dynamic property evaluation on the target simulation result based on the evaluation index set to obtain a simulation test result so as to complete drivability and dynamic property co-simulation of the vehicle. According to the scheme, the simulation efficiency can be improved while the reliability of drivability and dynamic property evaluation is ensured.

The invention provides a rotating main shaft digital twinning fusion modeling and dynamic optimization method and system, and relates to the technical field of intelligent manufacturing and digital twinning, and the method comprises the steps: obtaining multi-source data of a numerical control machine tool main shaft system, including manufacturing parameters, working condition data and physical state data; a digital twinning mechanism model representing the mechanical-thermal-dynamic multi-field coupling effect is constructed, and a structured digital twinning working condition model is constructed through feature extraction and classification; fusing the digital twinning mechanism model and the digital twinning working condition model to form a dynamic fusion digital twinning model responding to variable working conditions; co-simulation and optimization are carried out, and weak design links of the main shaft system under variable working conditions are identified; on the basis of the identified weak design links, a multi-objective optimization model taking improvement of fatigue life and machining quality as objectives is constructed, and solving is carried out; and performing dynamic performance simulation verification on the optimized design parameters through a dynamic fusion digital twinborn model, and outputting an optimal design parameter set.

The invention discloses an unmanned system cluster collaborative simulation efficiency evaluation method and system, and the method comprises the steps: S1, receiving a to-be-evaluated cluster collaborative control algorithm related file and scene description information, and determining an evaluation target; s2, setting probability distribution of random parameters and triggering rules of disturbance events, and generating corresponding parameters and disturbance event configuration data; s3, starting multiple groups of simulation tasks in parallel in a computing environment based on the configuration data, injecting a disturbance event in each simulation, and recording a simulation log; s4, analyzing the simulation logs in batches, extracting key data and calculating a multi-dimensional efficiency index; and S5, carrying out statistical analysis and visualization processing on the multi-dimensional efficiency index, and automatically generating a structured evaluation report. According to the method, the technical problems of statistical significance deficiency, one-sided robustness evaluation, single evaluation dimension and the like in a traditional evaluation method are solved, and efficient reproducible efficiency evaluation is realized.

The application relates to the technical field of semiconductor devices, in particular to a radio frequency PiN diode parameter optimization method and device and electronic equipment, wherein the method comprises the following steps: generating a plurality of groups of initial parameter combinations according to a parameter space of a radio frequency PiN diode; generating a first data set according to TCAD simulation results of the plurality of groups of initial parameter combinations, training a first machine learning model by using the first data set, and performing circuit simulation on the plurality of groups of initial parameter combinations by using the trained first machine learning model; generating a second data set according to circuit simulation results of the plurality of groups of initial parameter combinations, training a second machine learning model by using the second data set, and optimizing the parameters of the radio frequency PiN diode by using the trained first machine learning model and the second machine learning model. Therefore, the problems that the radio frequency PiN diode parameter optimization process is time-consuming and low in efficiency, and it is difficult to simultaneously meet the collaborative simulation of device physical characteristics and circuit-level radio frequency performance requirements in the related art are solved.

The invention discloses a reconfigurable integrated modeling and co-simulation method and system for a heterogeneous balance area of a power distribution network. Establishing a physical equipment model and a control strategy model for the power system; wherein expansion modeling is carried out on resource types of different balance areas, and abstract modeling of a control strategy is carried out for different control levels of a power grid. Defining a hierarchical transmission mechanism and transmission content of the control flow and the data flow; the hierarchy comprises a cloud master station hierarchy, an edge intelligent terminal hierarchy and a local controller hierarchy from top to bottom; the control flow transmits control instructions from top to bottom and executes the control instructions; the data stream provides sensing information for each level of the control stream from bottom to top; a continuous-discrete hybrid simulation architecture is designed, the physical dynamic state of a power system is simulated through a power simulator, and communication and control events are simulated through an information communication simulator. According to the invention, a complete digital verification environment is provided for planning design and operation control of the balance area of the power distribution network.

The invention discloses an SPICE model generation method considering passive network thermal noise, and the method comprises the steps: carrying out the modeling of a multi-port passive network S parameter through employing a passive macro-modeling algorithm, obtaining a passive state space model, constructing a Riccati equation, solving the Riccati equation, obtaining a state space model of a lossless network, employing a state space-based SPICE model generation method, carrying out the solving of a Riccati equation, and carrying out the calculation of the Riccati equation. And obtaining an equivalent SPICE circuit model, and carrying out joint simulation by utilizing the SPICE circuit model and other modules in the circuit to obtain an analysis result of field-circuit co-simulation. According to the method, a state space model for representing an original system is decomposed into a lossless network and a pure resistance network, wherein the lossless network only considers the transmission characteristics of a passive network and can be synthesized by using a noiseless model device; and the pure resistance network is used for equivalent thermal noise generated by the passive network, so that the accuracy of a result in simulation related to noise analysis is ensured to be kept.

The invention discloses a pneumatic connecting rod co-simulation method based on FMI, electronic equipment and a storage medium. The method comprises the steps that a gas power source model is established in multidisciplinary simulation software; configuring a coupling data interface of the gas power source model and the connecting rod mechanism multi-body dynamic model, and exporting a pneumatic power source FMU model after configuration is completed; establishing a connecting rod mechanism multi-body dynamics simulation model in multi-body dynamics simulation software; configuring a coupling data interface of the connecting rod mechanism multi-body dynamic model and the gas power source model; importing a gas power source FMU file into software in which the connecting rod mechanism multi-body dynamic model is located; simulation conditions are set, and co-simulation is carried out. The FMI collaborative simulation technology is used for achieving collaborative simulation of a pneumatic connecting rod mechanism air source and a mechanical mechanism, a pneumatic-mechanical coupling model is established, the dynamic characteristics of the pneumatic connecting rod mechanism are simulated through a numerical simulation tool, and it is ensured that an output track meets the engineering precision requirement.

The invention belongs to the technical field of simulation verification, and particularly relates to an aircraft power consumption assessment method and system based on multi-programming language co-simulation, and the method comprises the steps: employing multi-programming language co-simulation to assess the power consumption condition of an aircraft, and carrying out the construction through a multi-language model; subsystem model integration; building a simulation environment; a power consumption evaluation and data analysis and optimization step; according to the multi-programming-language co-simulation method, a solution is provided for the problems existing in the prior art, the simulation precision and complexity are improved by integrating the advantages of multiple programming languages, and meanwhile the integration and adaptability of a system are enhanced.

The invention belongs to the technical field of power system operation and control, and particularly relates to a power system dynamic simulation and comprehensive risk assessment method and system fusing source, network, load and storage multi-element collaborative interaction characteristics, and the method comprises the steps: constructing a multi-agent-based source, network, load and storage collaborative simulation model; setting a simulation scene including initial disturbance and uncertainty, and operating the co-simulation model; aiming at a system risk state identified in a simulation result, based on a time-varying system interaction directed graph, adopting a path backtracking and contribution degree analysis algorithm to deconstruct a key propagation path causing the risk state, and quantifying the contribution degree of each agent and an interaction event in risk formation; based on a contribution degree deconstruction result, taking minimization of current risk and future risk propagation uncertainty as a target, and generating a cooperative control strategy packet involving a plurality of links including a source link, a network link, a load link and a storage link; and taking the cooperative control strategy packet as a new control input, and feeding back the new control input to the cooperative simulation model for verification and effect evaluation to complete a closed loop.

The invention discloses an electromagnetic transient simulation method for a photovoltaic multi-converter system. The method comprises the following steps: establishing an electromagnetic transient model comprising a photovoltaic array, a direct current side capacitor, an inverter bridge arm, a filtering unit and a power grid connection module; an interpolation algorithm is dynamically selected according to a simulation scene, a Newton interpolation method is adopted for step length switching and control delay compensation, and a Lagrange interpolation method is adopted for multi-rate subsystem data interaction; implementing a three-level variable step size control strategy based on physical characteristics; a damping interpolation discretization method is adopted to suppress numerical oscillation; and integrating an extreme scene adaptive mechanism. According to the method, a scene-algorithm-precision adaptive matching framework is constructed, Newton interpolation and Lagrange interpolation algorithms are dynamically selected through quantitative criteria, and multi-time-scale co-simulation, damping adaptive suppression and an extreme scene adaptation mechanism are combined, so that the simulation performance is comprehensively improved; the problems that an existing simulation method is low in efficiency, poor in precision and weak in adaptability in a large-scale photovoltaic system are solved.