118 results about "Power system simulation" patented technology

The invention provides a general electromechanical transient modeling method and system for a network-building converter, and relates to the technical field of electromechanical transient modeling, and the method comprises the steps: simplifying the electromagnetic transient models of network-building converters of different topologies into a grid-connected equivalent circuit of an electromechanical transient time scale; uniformly representing by using an internal potential series reactance model controlled by a power outer ring so as to establish an electromechanical transient general grid-connected interface model of the grid-forming converter; combining mathematical transformation of active power control with a reactive power control mode to form a general power outer loop control model of the network construction type converter; through a method based on internal potential reconstruction, reconstructing a new internal potential satisfying a current limiting constraint, and establishing a general current limiting model suitable for a network construction type electromechanical transient model; according to the method, various topological structures, various power outer loop control and various current limiting strategies can be simulated, flexible use of models in large-scale power system simulation is facilitated, and the complexity of model development and maintenance is reduced.

The invention belongs to the technical field of voltage optimization, and particularly relates to a reactive voltage optimization control method suitable for a large-scale new energy collection area, and the method comprises the steps: constructing a node power distribution network topology based on a power system simulation platform, and obtaining a training label; mapping the power distribution network into a graph structure containing nodes and edges; executing graph convolution operation through a graph neural network, extracting single-moment spatial topological features, and arranging the single-moment spatial topological features according to a time sequence to form a spatial topological feature sequence; performing spatial-temporal dynamic modeling on the spatial topological feature sequence by using an improved Mamba model, and outputting a spatial-temporal time sequence feature sequence; introducing an attention mechanism, and outputting a reactive power prediction value of each controllable device as a control instruction of power distribution network dispatching; and outputting a control instruction of actual power distribution network dispatching by using the trained graph neural network and the improved Mama model. According to the invention, under the condition of ensuring voltage safety and reactive constraint, the voltage out-of-limit quantity is reduced, and the voltage qualification rate is improved.

The invention discloses a power system simulation analysis intelligent agent system and a simulation analysis method. According to the method, the power system simulation analysis intelligent agent system comprises an interface layer used for receiving a user instruction and feeding back a task result in multiple modes; the workflow layer comprises a main agent and is used for analyzing a user instruction and generating and driving workflow for executing simulation analysis according to the task knowledge base; the skill layer comprises a plurality of sub-agents and is used for packaging and executing specific sub-tasks in the workflow; the tool / knowledge layer is used for providing a standardized calling interface for external tools and storing data and knowledge required by task execution; and the business system layer comprises one or more existing power system simulation business systems and is used for providing basic data, computing services and interaction components for the tool / knowledge layer.

According to a method to aid installation of large-scale BESS in a power network, a hyperparameter optimization engine generates a feasible configuration of BESS defined by location and sizing parameters subject to an installation constraint. A power system simulation engine conducts an energy market simulation for the power network with the generated configuration over a defined simulation horizon to determine a configuration value. The power system simulation engine comprises one or more subroutines characterizing the impact of the BESS on the market clearing mechanism, to compute an expected generation cost associated with the BESS. The configuration value is determined based on the expected generation cost and a total installation cost of the BESS. The hyperparameter optimization engine is iteratively executed to generate an updated configuration based on the configuration values of previous configurations, to determine a final configuration of BESS defined by a set of optimal location and sizing parameters.

The invention relates to the technical field of power system simulation, and discloses a power system time sequence simulation system considering security constraints. The system comprises a power grid topology analysis unit, a dynamic security domain calculation unit, a time sequence constraint modeling unit, a simulation track generation unit and a check feedback unit. The power grid topology analysis unit obtains element connection relations and electrical parameters, and generates a topology description file containing a node admittance matrix; the dynamic safety domain calculation unit obtains the voltage stability limit and the power angle stability boundary of each working condition, and forms a safety domain boundary set; a time sequence constraint modeling unit combines the set with a predefined time interval to build a security constraint time sequence model containing a transient process; the simulation trajectory generation unit solves a differential algebraic equation set by using an implicit trapezoidal integral method, and outputs a state variable trajectory with a timestamp; and the check feedback unit compares the track with the security domain boundary, marks an abnormal segment and generates a correction instruction. The system realizes fusion of security constraint and time sequence simulation.

The invention discloses an alternating-current and direct-current hybrid power transmission network rack optimization evaluation method and system, which are used for solving the technical problems that a traditional alternating-current and direct-current hybrid power transmission network rack evaluation method depends on static parameters or empirical data, cannot dynamically respond to cross-regional load fluctuation and the like, is difficult to cope with risks, and causes low quality of a rack scheme. The method comprises the following steps: generating comprehensive evaluation indexes of a plurality of grid schemes according to acquired operation data of an AC / DC hybrid power transmission network by adopting power system simulation software; constructing a fuzzy evaluation matrix of each grid scheme according to the comprehensive evaluation index of each grid scheme by adopting an improved descending semi-trapezoidal membership function and a Gaussian membership function; calculating a target weight corresponding to the comprehensive evaluation index of each grid scheme; and according to the target weight corresponding to the comprehensive evaluation index of each grid scheme and the fuzzy evaluation matrix, calculating the comprehensive score of each grid scheme, and selecting the grid scheme with the maximum comprehensive score as the target grid scheme of the AC / DC hybrid power transmission network.

The invention provides an intelligent identification method and equipment for a simulation error dominant area of a power system, relates to the technical field of power systems, and solves the problems of unstable aggregation result, limited partitioning hierarchy, insufficient dynamic feature expression, lack of credibility feedback and the like in simulation error identification of the power system in the prior art. According to the scheme, a power grid weighted adjacency matrix is constructed; performing spectrum serialization and preliminary node rearrangement; community priority partitioning and intra-block optimization are carried out; performing hybrid dynamic simulation and credibility evaluation; and multi-level block recursion and error locking are carried out. According to the method, the weighted adjacency matrix with line impedance or admittance as the weight is constructed, so that mathematical layering and node coupling feature mapping of the power grid are realized; the method comprises the following steps of: extracting a sub-matrix from an error salient region, repeatedly executing spectrum aggregation and community division, realizing automatic locking of an error dominant node, forming a closed loop structure of spectrum aggregation-decoupling-simulation-feedback in combination with hybrid simulation feedback, and realizing multi-level error identification from global to local.

The invention relates to the field of power system simulation, and provides a self-adaptive mixing precision calculation method, system and device and a storage medium, applied to a multi-type programmable chip cooperation system, the method comprises the following steps: receiving runtime monitoring information returned by a multi-chip cooperation controller and a precision gateway through an intelligent precision manager, updating precision configuration information and a gateway conversion strategy according to the monitoring information during operation; decomposing the target calculation task into a plurality of sub-tasks through the multi-chip cooperative controller according to the precision configuration information, and mapping each sub-task to a target programmable chip corresponding to each precision partition; wherein when cross-precision transmission of data exists, data conversion and error control are carried out through the precision gateway according to the gateway conversion strategy, and an output result is obtained. According to the method, fine-grained identification and precision configuration can be realized, standardized conversion and error suppression are realized in a cross-precision boundary, closed-loop cooperation is carried out, and self-adaptive cooperative calculation of mixed precision is realized.

The invention relates to the technical field of power system simulation, in particular to a twelve-phase synchronous motor VBR modeling method, which comprises the steps of motor grouping modeling; integrating a magnetic saturation effect; and interphase coupling modeling. The method has the advantages that the VBR model is successfully expanded to a twelve-phase (four-group three-phase) synchronous motor, the limitation that a traditional three-phase model and a traditional six-phase model cannot be directly applied to a high-phase-number asymmetric motor is overcome, the coordinate transformation problem caused by a complex winding structure is effectively solved through the multi-stator modeling framework and the projection matrix technology, and the method is suitable for large-scale popularization and application. An effective modeling solution is provided for high-phase-number motor simulation; by introducing a differential inductance matrix and a magnetization coupling matrix into a dq0 coordinate system, the model can accurately describe electromagnetic characteristics of the motor in different saturation states; the model considers the mutual coupling effect among all three-phase units, solves the problem that a traditional model is difficult to accurately simulate complex magnetic saturation and interphase coupling of a twelve-phase motor, and remarkably improves the simulation precision.

The invention discloses a multi-voltage cable joint manufacturing simulation training tool based on a virtual reality technology, relates to power system simulation training, and solves the technical bottleneck that traditional physical training is high in actual training cost, large in risk and incapable of flexibly adapting to multiple voltage grades. The tool comprises a virtual reality display device, a computer, an indoor space positioning system, an operation feedback system, a cable force feedback simulator, a tactile feedback glove, a multi-voltage-class adaptation system and a tool hanger. Different parameter sets are called through a multi-voltage-level adaptation system to drive hardware to work cooperatively, and multi-sense high-fidelity simulation from vision, force sense to touch sense, temperature and the like is achieved. According to the method, the whole manufacturing process of the multi-voltage-class cable joint is completed on a hardware platform based on a software mode, the training cost and the safety risk are greatly reduced, progressive training and objective skill evaluation are supported, and the standardization, flexibility and effectiveness of training are greatly improved.

The invention discloses a photovoltaic flexible direct current grid-connected system simulation method and device and a storage medium, and relates to the technical field of power system simulation, and the method comprises the steps: building a photovoltaic module, an alternating current system module and a direct current line module on a simulation platform, so as to construct a simulation model; deploying the photovoltaic module on a first device, deploying the AC system module and the DC line module on a second device, and setting each simulation step length; after environment parameters and faults are set, the first device and the second device are operated at the same time based on the simulation step lengths, and data interaction between the first device and the second device is achieved through a data synchronization interface according to a preset data interaction period till a simulation result is output. Compared with the prior art, the method has the advantages that synchronous calculation of the multi-time-scale model can be realized, so that the problems of module calculation failure and simulation result distortion in the prior art are solved.

The invention discloses a flexible direct current simulation model parameter correction method and system combined with fault recording data, belongs to the technical field of power system analogue simulation, and solves the problems that errors exist between a fault calculation result and an actual measurement value, a traditional method does not fully utilize the fault recording data, and the fault recording data cannot be fully utilized in the prior art. Therefore, related parameters of the fault simulation model of the flexible DC system cannot be effectively corrected. Building a simulation model; selecting a typical fault based on the fault recording file, calling corresponding fault recording data, and processing the fault recording data; based on the simulation model, performing fault analysis on the typical fault to obtain analysis data; and performing comparative analysis on the processed fault recording data and analysis data, judging whether an analysis result meets requirements or not, if so, outputting the analysis data, and if not, adjusting parameters of the simulation model, and performing fault analysis again. The method is used for realizing accurate and effective simulation model data correction.

The invention discloses a hybrid power system continuous dynamic-discrete strategy double-layer parallel simulation architecture which comprises a plurality of modules distributed in a master process and a slave process, the master process is used for simulating and solving a continuous subsystem model and controlling an overall simulation time sequence, and the slave process is used for simulating and solving a discrete subsystem model. The master process comprises a clock control module, a discrete event processing module, a continuous model grouping parallel module and a continuous state sending module, the slave process comprises a continuous state receiving module, a discrete model grouping parallel module and a discrete event sending module, and a shared memory module is set as an interaction channel of the master process and the slave process. According to the method, the simulation efficiency of the hybrid power system is effectively improved on the premise of ensuring the accuracy of a simulation time sequence through consecutive discrete subsystem parallelism and model grouping parallelism in the subsystems. The framework can be applied to hybrid power system simulation fields such as cascading failure analysis, power system stability control system checking and the like.

The application provides a new energy control parameter self-adaptive identification method based on double-layer particle swarm optimization, and belongs to the technical field of power system simulation analysis. Typical control strategies of heterogeneous new energy units are comprehensively used to construct a strategy database and perform verification; test data are acquired for processing and feature extraction, so that high and low threshold values, current initial states and test feature data are obtained; a fitness function is constructed based on the strategy database, a discrete particle swarm algorithm is used in the global optimization layer to select an optimal strategy combination from the strategy database, and in the local optimization layer, parameters of the selected strategy are continuously optimized in combination with a momentum factor and a learning rate. The application uses actual unit test data characteristic values as inputs of the double-layer particle swarm algorithm, determines an optimal strategy-parameter pair through a total error index weighting, verifies the accuracy of the strategy-parameter pair, and effectively improves the efficiency and precision of modeling of heterogeneous new energy equipment.

The invention discloses an improved single machine high / low voltage fault aggregation equivalent modeling and evaluation method containing different types of distributed photovoltaics, and belongs to the technical field of power system simulation modeling. In order to solve the problem that there is no equivalence method for hybrid distributed photovoltaic units with and without ride-through capability at present, the method comprises the following steps: obtaining an active current control coefficient KP and a reactive current control coefficient KQ for A-type photovoltaic units; active current and reactive current of a distributed photovoltaic single machine after equivalence during low-voltage or high-voltage fault ride-through of the A-type distributed photovoltaic system are determined; and obtaining an equivalent active current and an equivalent reactive current of the hybrid to-be-equalized area by combining the active current and the reactive current when the B-type distributed photovoltaic system operates in the linear stable interval and enters low-voltage or high-voltage fault ride-through. The invention further provides an equivalent model effectiveness evaluation method giving consideration to simulation curve numerical values and forms for evaluation so as to reflect the difference of working point changes of the distributed photovoltaic model.

The present application relates to the field of new energy power system simulation technology, in particular to a real-time simulation test modeling method and system for a new energy station, comprising: receiving steady-state parameters and dynamic instructions, constructing a multi-time scale device model library and determining a disturbance scene. The detailed electromagnetic transient model and the simplified electromechanical transient model are mapped through interface variables, a bidirectional data interaction channel is established, and mixed scale closed loop simulation is carried out on a real-time simulation platform. The output data of the two types of models are synchronously collected, the device level transient response characteristics and the station level dynamic response characteristics are respectively extracted, and a dynamic response panoramic atlas is generated by fusion. The atlas is matched with the similarity of the historical typical response mode, and a model confidence evaluation report is output. The method realizes real-time bidirectional interaction between models of different time scales, and provides automatic and panoramic intelligent evaluation capability of simulation results.

This invention provides a closed-loop coupling and self-correcting method and system for power system full-element simulation and control based on digital twins, belonging to the field of power system simulation and control technology. The method includes the following steps: acquiring bidirectional data from the physical power system and a pre-constructed digital twin simulation model based on the physical power system; aligning the bidirectional data using an event detection algorithm; constructing a paired dataset based on the alignment results; calculating a mismatch metric on the digital twin simulation model; and calculating the optimal parameter update amount based on the mismatch metric; and updating the parameters of the digital twin simulation model to obtain the latest digital twin simulation model for prediction and decision-making in the next control cycle. This invention significantly improves the perception accuracy and long-term reliability and adaptability of the scheduling optimization effect for the aggregation capability of all elements such as photovoltaics, energy storage, and diverse loads.

The invention provides a power network security test platform, terminal equipment and a storage medium, and the platform comprises a user interface layer which is used for obtaining a plurality of test cases, and each test case corresponds to resource demand information; the platform control layer is used for acquiring a plurality of test cases from the user interface layer and acquiring current test resource state information in the process of performing the power network test on the to-be-tested equipment; determining a scheduling scheme of the test cases according to the test resource state information and the resource demand information corresponding to each test case; the power system simulation environment layer is used for providing a virtual simulation environment for a plurality of test cases; and the platform control layer is also used for executing each test case in the power system simulation environment layer according to the scheduling scheme of the test cases, and determining a power network test result of the to-be-tested equipment after the execution of the plurality of test cases is completed.

The present application relates to the technical field of power system simulation, and more particularly to a Thevenin equivalent parameter estimation method and system based on multivariate coefficient of variation, an electronic device and a medium; the method comprises: collecting the measured voltage and the measured current at the equivalent point in the target time window; based on the measured voltage, the measured current and the preset Thevenin equivalent impedance prediction value, an indirect statistical model is constructed; the multivariate coefficient of variation is set as an evaluation index for measuring the dispersion degree of Thevenin equivalent potential; an unconstrained optimization model is established; the unconstrained optimization model is solved to obtain the estimated value of Thevenin equivalent impedance, and the estimated value of Thevenin equivalent potential is determined based on the estimated value of Thevenin equivalent impedance. In this way, the technical problem of insufficient estimation accuracy of the existing Thevenin equivalent parameter estimation method when facing complex and variable load fluctuation conditions is solved, and the accuracy and reliability of parameter estimation are improved.

The invention discloses a prevention and control method and system based on distributed near-end strategy optimization, and belongs to the technical field of power systems and automation thereof, and the method comprises the steps: carrying out the parameter initialization of a plurality of local strategy networks based on a learning agent, and obtaining a plurality of initialized local strategy networks; executing a parallel sampling action on the power system simulation model based on the initialized local strategy network, and obtaining current simulation control data corresponding to the power system simulation model; optimizing and adjusting the learning agent based on the current simulation control data to obtain a distributed agent; according to the prevention and control method and system based on distributed near-end strategy optimization, real-time scene data of an electric power system are obtained, a prevention and control strategy is obtained, and transient stability of the electric power system is achieved based on the prevention and control strategy. And the high-dimensional power grid state processing efficiency is improved.

This invention discloses a modeling method for a new energy power plant simulator, relating to the field of power system simulation technology. Specifically, it includes the following steps: S1, developing and debugging a digital encapsulation model using ADPSS software on both the Windows and Linux platforms; S2, based on the established digital encapsulation model, connecting the new energy controller hardware to the simulator equipment within a simulation environment, and conducting relevant simulation modeling work; S3, obtaining the primary circuit topology and parameters of the new energy unit or SVG, and establishing a primary circuit model based on the primary circuit topology and parameters using the ADPSS simulation platform. The new energy power plant simulator modeling method provided by this invention only requires modeling, simulation, and debugging on one ADPSS simulation platform. Theoretically, all other platforms can be directly accessed by the platform user using the ADPSS-tested control encapsulation model, without requiring participation in model development, greatly reducing workload and complexity.

The invention provides a load current prediction method and device for short circuit simulation, equipment and a medium, and belongs to the technical field of power system simulation modeling. The prediction method comprises the following steps: constructing an equivalent model according to a load mechanism model, and analyzing the equivalent model to obtain equipment characteristic parameters and dynamic operation parameters; a proxy model is constructed, and the proxy model takes the equipment characteristic parameters and the dynamic operation parameters as input and takes the output parameters of the equivalent model as output; according to a preset sample and a preset label, training the proxy model; fitting the equipment characteristic parameters of the equivalent model by using the proxy model, and updating the equivalent model; determining an application interval of the updated equivalent model; and when the short-circuit point is located in the applicable interval, performing short-circuit current prediction by using the updated equivalent model, otherwise, performing short-circuit current prediction by using the load mechanism model. According to the method, the updated equivalent potential load model can be selected to improve the short-circuit current prediction efficiency.

The invention belongs to the technical field of power system simulation, and discloses a distributed resource aggregation control strategy verification system and method combined with hardware-in-loop simulation. In the distributed resource aggregation control strategy verification system, a physical simulation layer receives an equipment control instruction of an aggregation layer, simulates an electromagnetic transient process based on a high-fidelity power grid and a distributed resource model, and outputs an equipment state and electrical quantity data; the aggregation layer performs protocol adaptation on the physical simulation data, and splits a macroscopic instruction of the aggregation scene optimization control layer into an equipment control instruction; the optimization control layer combines physical data and market feedback to execute rolling optimization, update instructions and transaction declaration; the market simulation layer generates a price sequence and outputs deviation assessment; and the output unit summarizes the data and compares a target output strategy verification evaluation result. According to the method, the problem of difficulty in high-fidelity experiment simulation verification in distributed resource aggregation control is solved.

The invention discloses a power grid simulation result analysis method and device, equipment and a medium, and relates to the technical field of power system simulation analysis. According to the scheme, the to-be-analyzed transient stability result file is obtained; analyzing the transient stability result file into a plurality of main structural bodies, and analyzing sub-structural bodies corresponding to the main structural bodies; according to the type of each main structure body, analyzing the sub-structure bodies under each main structure body to obtain corresponding analysis results; and summarizing and integrating the analysis results of the sub-structure bodies to generate stable analysis summarizing information. Therefore, according to the scheme, rapid batch reading and analysis of the power grid simulation transient stability result sot file can be achieved, data analysis can be automatically executed, finally result summarization and statistics are conducted, traditional manual analysis can be effectively replaced, and the analysis efficiency of the power grid simulation result is remarkably improved.

The application relates to a multi-FPGA distributed electromagnetic transient simulation synchronization method, system, device and equipment based on optical interconnection, which constructs a fiber transmission network for power system simulation through optical fibers, carries out fiber propagation delay processing on the simulation unit of each node in the fiber transmission network to obtain a global time shared by the nanosecond precision time reference of the node, solves the power system simulation data transmission delay problem, carries out clock data recovery and data alignment processing on each simulation unit before the time slot allocation table is obtained, so that the simulation unit realizes cross-clock domain alignment, transmits boundary data needing transmission by taking the global time as a reference and encapsulating the boundary data into fixed format optical transmission frames by using the time slot allocation table, and electromagnetic interference in data transmission is avoided, and the problems of inconsistent delay and electromagnetic interference in data transmission of the present multi-FPGA distributed electromagnetic transient simulation data are solved.

The application discloses a power system model simulation test method and device, a terminal and a medium. The technical scheme provided by the application comprises the following steps: first, a first power system simulation model based on conventional simulation software is acquired; then, system steady state and / or fault state simulation is performed through the first power system simulation model to obtain a first simulation data set as a standard data set; then, a second power system simulation model based on second simulation software and having consistent topology and parameters with the first power system simulation model is converted from the first power system simulation model through a topology mapping mode; then, the same system steady state and / or fault state simulation is performed through the second power system simulation model to obtain a second simulation data set as a verification data set; finally, the simulation test result of the second power system simulation model is determined according to the comparison result of the first simulation data set and the second simulation data set, and the efficiency of the model comparison test process is improved.

A smart planning method for a 500kV power grid based on ultra-high voltage interconnected power grids while considering source-load balance includes: constructing a provincial main power grid model based on the PSD-BPA simulation platform; establishing power grid planning evaluation indicators and constraints; formulating screening principles for the AC / DC planning line set based on engineering experience, developing a screening process according to the principles, and finally embedding the selected planning lines into the action space of reinforcement learning; constructing a power grid planning interactive environment based on the Python programming language, defining the state space, action space, and reward function of reinforcement learning, transforming the multi-objective optimization problem of power grid planning into a Markov Decision Process (MDP), and introducing a dual deep Q-network (DDQN) for network training; using evaluation indicators to perform multi-dimensional analysis and verification of the training results; loading the provincial power grid basic data for the target year to be planned and initializing the planning environment; calling the trained DDQN network to enter the inference mode, performing feature extraction and forward propagation calculation on the current power grid state, and outputting the optimal line construction action; reconstructing the power grid topology based on the output action, and using a power system simulation program to perform safety verification and evaluation indicator analysis on the final generated planning scheme, and outputting a feasibility report.

A model construction method of a photovoltaic power generation unit, characterized in that the method comprises the following steps: step 1, model simulation is performed on a grid-connected inverter of the photovoltaic power generation unit, the simulation model comprises a basic model and a simplified model, wherein the simplified model is used to simplify a half-bridge structure of the grid-connected inverter into a three-phase power supply in the simulation process; step 2, the simulation model of the grid-connected inverter is input into power system simulation software, and a running disturbance is added to the simulation model to obtain an adjustment effect of the simulation model on the running disturbance; and step 3, based on the adjustment effect of the simulation model and the network scale to be analyzed, the basic model or the simplified model is selected to be used. The method is simple, the improvement of the simulation model is accurate and effective, and fully meets the demand of model calculation efficiency under large-scale simulation.

The invention relates to the technical field of power system inertia evaluation, in particular to a power system inertia evaluation method and system based on physical perception reinforcement learning, and the method comprises the steps: constructing a novel power system simulation model; setting different types of disturbances in the simulation model, and collecting operation data of the power system after each disturbance; dividing all sample data into a training set, a verification set and a test set; constructing a physical perception depth deterministic policy gradient PI-DDPG agent, and performing interactive training on the physical perception depth deterministic policy gradient PI-DDPG agent through sample data; selecting an agent parameter at the moment of the lowest verification set error as a candidate optimal model; a multi-dimensional evaluation index system is made, a test set candidate optimal agent is used for final performance testing, an available agent model is obtained, and a final PI-DDPG evaluation model is formed; and deploying the model, receiving real-time state information from the power system on line, and outputting an on-line evaluation result of the equivalent inertia of the current system.

The application discloses a kind of method and system for determining the electromagnetic transient small signal stability of power system, belong to power system simulation and analysis technical field.The method of the present application comprises: for the power system to be analyzed, the state model and algebraic model of the power supply in the power system are established;Determine the power supply type of each bus in the power system, according to the power supply type of each bus and the state model and algebraic model of the power supply, a coordinate transformation model is constructed;The power grid transmission line of the power system is π type equivalent, and a branch model is established;Based on the coordinate transformation model and the branch model, the Jacobian matrix of the power system is constructed, and the eigenvalue of the Jacobian matrix is obtained, and based on the eigenvalue, the electromagnetic transient small signal stability of the power system is determined.The present application can establish the Jacobian matrix of the whole system electromagnetic transient, and the eigenvalue is solved, to realize the frequency domain analysis and calculation of various broadband oscillation modes.