184 results about "Power system simulation" patented technology

The invention relates to the technical field of power system simulation, in particular to a new energy power system simulation method, which comprises the following steps: S1, constructing a multi-dimensional information acquisition system, S2, constructing a new energy station model, S3, constructing a power grid control system model, S4, constructing a typical transient scene model, and S5, carrying out optimization solution and model correction. A full-chain model covering a new energy station, a power grid control system and a typical transient scene is constructed, and parameter optimization and a multi-objective decision technology are combined, so that the dynamic characteristics of the new energy power system are accurately simulated.

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 discloses a frequency response prediction method and system under an anticipated fault of a power system, and the method comprises the steps: generating sample data in different operation modes and fault scenes through the simulation of the power system, carrying out the normalization processing, and dividing the sample data into a training set and a test set; constructing and training a physical guidance neural network model; in an online state, inputting a power grid operation mode and anticipated fault information at a future moment into the trained physical guidance neural network model, predicting a system frequency response curve, and judging whether a frequency instability risk exists or not according to the frequency response curve; according to the method, the physical guidance neural network and the data driving method are combined, the problems that a traditional data driving model is poor in interpretability and depends on a large amount of data are effectively solved, accurate prediction of the power system frequency response under the anticipated fault is achieved, and prediction efficiency and reliability are remarkably improved.

The invention provides an electromechanical transient simulation model parameter adaptive correction method and device, and relates to the field of power system simulation. The method comprises the following steps: acquiring response data of a target power system in different operation states, and constructing an electromechanical transient observation response data set based on the response data; inputting the electromechanical transient observation response data set and the current electromechanical transient simulation model into a simulation engine to execute simulation operation, and generating a simulation response sequence corresponding to the disturbance process; performing difference analysis on the electromechanical transient observation response data set and the simulation response sequence, and constructing a target function for parameter correction based on a difference analysis result; based on the structure information of the current electromechanical transient simulation model, defining a corresponding to-be-corrected parameter set; and performing iterative optimization on the to-be-corrected parameter set based on the target function, and outputting a target corrected parameter set meeting an iteration condition. According to the method, the problem of low accuracy of model parameter correction in a dynamic scene in a traditional method is solved.

The invention discloses a photovoltaic power generation power prediction and power system scheduling method and a system for realizing the method. The method comprises four steps of data acquisition and preprocessing, similar day selection and training set construction, GA (Genetic Algorithm)-fuzzy RBF (Radial Basis Function) neural network modeling and power scheduling plan generation. The method comprises the following steps: selecting a meteorological variable with high correlation degree through a Spearman rank correlation coefficient, and constructing a time sequence feature; similar days are utilized to construct training samples, and the generalization ability of the model is improved; a fuzzy RBF network optimized by GA is adopted to enhance the nonlinear modeling precision; and inputting a prediction result into the power system simulation model, and generating an optimal scheduling instruction by adopting dynamic programming. According to the method, the photovoltaic power prediction accuracy and scheduling efficiency can be remarkably improved, the power grid stability is enhanced, and the new energy consumption capability is promoted.

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.

The invention provides an electric power system model important parameter group identification method based on trajectory feature clustering, relates to an electric power system simulation technology, and solves the problem that modeling is not performed due to time domain global error index coarse graining and parameter coupling in traditional electric power system important parameter identification. The parameters are used as to-be-identified high-sensitivity parameters; performing time domain difference on each group of simulation tracks and actually measured tracks to obtain difference tracks, and extracting difference track features; the method comprises the following steps: mapping high-dimensional data to a low-dimensional space through a nonlinear dimension reduction method, and executing K-Means clustering on the data in the low-dimensional space to obtain a cluster label of each sample; sensitivity calculation is carried out on all samples in the clusters, and a parameter combination with the highest occurrence frequency and the maximum contribution to dynamic differences in the clusters is screened out to serve as a final dominant parameter set. According to the scheme, the simulation frequency and the calculation burden can be remarkably reduced, and high-precision and interpretable discrimination of important parameters really influencing the system performance is realized.

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 discloses a method for evaluating voltage unbalance of a following / construction network type hybrid wind power collection system. The method is suitable for a hybrid wind power plant grid-connected scene comprising a construction network type converter (GFM) and a following network type converter (GFL). The method comprises the following steps: firstly, constructing fundamental frequency negative sequence impedance models in different access modes, and establishing a negative sequence equivalent circuit model by combining system electrical topology; secondly, the voltage unbalance degree of each confluence node is calculated through sequence component analysis; secondly, analyzing the influence rule of factors such as the number proportion of the network-forming type units, the access voltage level and the space layout on the voltage imbalance; and finally, verifying the evaluation method through a power system simulation platform to ensure the accuracy and applicability of the result. The method can be used for electric energy quality evaluation and optimal configuration analysis under the regional-level and multi-wind-power-plant grid-connected condition.

The invention discloses a feature data screening method and device for power grid fault assessment, and belongs to the field of power systems, and the method comprises the steps: firstly obtaining a local bus set of a power grid and a candidate feature set corresponding to the set; performing a fault simulation experiment on the power grid according to a preset power system simulation platform to obtain characteristic quantity data corresponding to each characteristic quantity and form a characteristic quantity data set; according to a Mahalanobis distance principle and a Spearman level correlation coefficient calculation method, sorting each characteristic quantity data in the characteristic quantity data set to obtain an intermediate candidate characteristic set; screening each intermediate candidate feature in the intermediate candidate feature set by adopting an incremental feature subset strategy to obtain a plurality of final candidate features; and finally, performing fault assessment on the power grid according to each final candidate feature and the local bus set, and outputting a fault assessment result, so that the accuracy of power grid fault assessment can be improved through implementation of the method.

The application discloses a large language model driven full-automatic intelligent simulation method and system of a power system, and belongs to the field of power system simulation calculation. The simulation method comprises an offline optimization stage and an online application stage. In the offline optimization stage, a simulation parameter file of the power system and a modification range of each parameter are acquired, and a training command pool containing executable and non-executable commands is designed. A command generator and a prompt word optimizer are constructed based on a large language model, forming a generative adversarial framework. The optimization of system prompt words is realized based on the framework, and the optimal prompt words are obtained. In the online application stage, after a natural language command is input by a user, the large language model identifies the command and matches the optimal prompt words, and inputs the command to each parameter modifier to adjust the simulation parameters. Whether the parameters are within the allowed range is verified, and if the verification is passed, the simulation software is called to perform power system simulation calculation. The power system simulation automation level and intelligent interaction experience are significantly improved, and the method has strong practical value.

The invention belongs to the technical field of power system simulation, and particularly relates to a sub-grid parallel simulation method and simulation system for a large-scale power grid, and the method comprises the steps: obtaining the power grid topological data and simulation type of a target power grid; determining the power grid scale of the target power grid based on the power grid topological data and the simulation type; dividing the target power grid into a plurality of sub-grids based on the power grid scale; based on the power grid scale, the number of the subnets and the performance indexes of the FPGAs, the number of the FPGAs is determined, and the number of the FPGAs is larger than or equal to the number of the subnets; based on the FPGAs, the simulation tasks of all the subnets are distributed, so that all the FPGAs bear the simulation tasks of one subnet, and simulation results corresponding to all the subnets are obtained through parallel simulation; and obtaining simulation results corresponding to the subnets and fusing the simulation results to obtain a target simulation result of the target power grid. According to the technical scheme provided by the invention, the precision and real-time performance of large-scale power grid simulation are improved.

The invention discloses an electric power system simulation method and system based on a large language model, and is used for solving the technical problem that the simulation efficiency is relatively low due to the fact that an existing electric power system simulation method needs to repeatedly carry out parameter tests and the process is too tedious. The method comprises the steps of obtaining a natural language description simulation task; inputting the natural language description simulation task into a preset electromagnetic simulation guide core large language model for code reasoning, and outputting a target simulation code; and performing simulation calculation on the target simulation code by adopting an electromagnetic transient simulation platform of the power system to generate a target simulation result.

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 relates to the technical field of electric power system simulation, in particular to a station-level modeling method, device, equipment and medium considering vehicle-network interaction, and the method comprises the steps: building a vehicle-network interaction simulation overall architecture which covers an electric vehicle battery model, a bidirectional charging DC converter, a charging pile model and a power grid model, and constructing a multi-level digital simulation model library; constructing an SVPWM control strategy adaptive to charging and discharging of the electric vehicle, and regulating and controlling an alternating current side magnetic field track through a space voltage vector to realize rectification and inversion control; constructing a constant admittance model suitable for a plurality of parallel grid-connected converters, establishing a parameterized equivalent inductance-capacitance model, and analyzing electrical behaviors by combining factors such as common impedance coupling and simulation step length; a vehicle-network interaction field station-level model is established, a common AC bus structure is adopted to connect a plurality of charging piles in parallel to a power grid, dynamic simulation and interaction performance evaluation in a large-scale grid-connected scene are realized, and the transient stability and grid-connected reliability of the system are improved.

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 relates to the technical field of electric power system simulation, in particular to an electric power system simulation platform based on hierarchical multi-task collaboration, comprising a support layer which comprises a computer server node and a computer system and is used for decomposing a computing task into subtasks which can be executed in parallel by adopting a tile cutting technology, dynamic resource allocation is realized in combination with a thread pool and a task queue; the management layer comprises a message bus, a data exchange bus, a performance monitoring and analysis module, a computing resource management module, a computing task management module and a computing task scheduling module; the interface layer is used for constructing a multi-rate data exchange interface library and supporting real-time data sharing and cooperative computing of a cross-scale model; and the application layer comprises an electromechanical transient simulation module and an electromagnetic transient simulation module, and the electromechanical transient simulation module and the electromagnetic transient simulation module realize data synchronization and interaction through the interface library. According to the method, efficient coordination of multi-time-scale simulation is realized, and the utilization rate of computing resources and the expansibility of the system are remarkably improved.

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 provides a high-voltage direct-hanging type energy storage simulation system and method, and the method comprises the steps: employing a power system simulation server, employing a built-in regional power grid model, and simulating the operation state of a power grid; generating a control strategy based on the operation state of the power grid by using the high-voltage direct-hanging type energy storage converter control cabinet; using the power electronic device simulation server to form operation information of the control strategy based on a self-simulated high-voltage direct-hanging energy storage converter; based on the operation information, generating a simulation result of the high-voltage direct hanging type energy storage converter under a control strategy; and verifying a control strategy of the high-voltage direct hanging type energy storage converter according to the simulation result. A grid-connected simulation test means is carried out through the constructed models of the high-voltage direct-hanging type energy storage converter and the power electronic device simulation server, a control strategy of the high-voltage direct-hanging type energy storage converter is verified, and the situations that impact force on a power grid is large and the power grid is unstable in the test process can be effectively avoided.

This invention discloses a simulation system and test method for defects in a medium- and low-voltage distribution network, relating to the field of power system fault diagnosis and recovery technology. The method includes: deploying sensors to collect distribution network operation data and preprocessing and integrating the distribution network dataset; extracting distribution network fault feature vectors from the dataset using FFT transformation; constructing a fault diagnosis model based on the distribution network fault feature vectors using Support Vector Machine (SVM); establishing a simulation model of the medium- and low-voltage distribution network using power system simulation software PSCAD; simulating distribution network faults in the simulation model; diagnosing faults in the simulation model using the fault diagnosis model; formulating and implementing recovery strategies based on the diagnosis results; evaluating the effectiveness of the recovery strategies; adjusting the recovery strategies based on the evaluation results; and repeatedly testing in the simulation environment until the optimal recovery strategy is found. Finally, the optimal recovery strategy is applied to the actual distribution network, and its performance is continuously monitored and 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 invention relates to the technical field of power faults, and discloses an electromagnetic time reversal fault positioning method, system and device based on characteristic frequency matching and a medium, and the method comprises the steps: setting an observation point at any terminal in a power system, measuring and recording a fault high-frequency transient signal, and solving the characteristic frequency of the fault high-frequency transient signal; constructing a power system simulation model, injecting a pulse signal into the observation point of the simulation model, setting different guess short circuit fault points, and collecting current at the guess short circuit point positions; and based on the fault currents of the plurality of guess short-circuit fault points, obtaining the characteristic frequencies of the fault currents of the plurality of guess short-circuit fault points, and judging the fault current characteristic frequency which is the same as the characteristic frequency of the observation point so as to determine the fault position. The method can be suitable for fault positioning under a complex power grid line, the calculation efficiency is improved, and calculation is more concise.

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.