Circuit structure simulation method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application provide a circuit structure simulation method and device, electronic equipment and storage medium, belonging to the technical field of power systems. The method comprises: obtaining simulation requirement information and a circuit topology structure to be simulated; performing characteristic analysis based on the circuit topology structure to obtain circuit characteristic information; determining a matching target simulation scheme from a plurality of candidate simulation schemes based on the simulation requirement information and the circuit characteristic information; and performing simulation processing on the circuit topology structure based on the target simulation scheme to obtain a target simulation result. The embodiments of the present application can improve the adaptability of the circuit structure characteristics and the simulation simulation scheme.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a circuit structure simulation method, apparatus, electronic device and storage medium. Background Technology

[0002] Power system simulation is a fundamental tool for power engineering planning, design, operation, and protection and control strategy verification. From the analysis of distributed energy grid connection characteristics on the power source side, to the assessment of AC / DC hybrid transmission capacity on the grid side, and then to the study of power quality impact on the load side, power system simulation runs through the entire life cycle of power engineering, providing a scientific basis for major engineering decisions, a pre-simulation environment for operation and control schemes, and data support for fault analysis and protection settings. The circuit structure of modern power equipment is becoming increasingly complex, often containing multiple components such as electromagnetic coupling elements, power electronic switching devices, mechanical control components, and external system interfaces, exhibiting significant characteristics of multi-timescale and multi-physical field coupling.

[0003] However, current simulation platforms each have their own characteristics. If the functional characteristics of the simulation platform do not match the inherent requirements of the circuit structure, it will lead to oversimplification of the model or waste of computational resources. In severe cases, it may even be unable to reproduce key physical processes, causing systematic deviations in design verification. Moreover, different circuit topologies have different simulation requirements. Therefore, there is an urgent need for a technical solution that can perform simulation based on the characteristics of the circuit structure. Summary of the Invention

[0004] The main objective of this application is to provide a circuit structure simulation method, apparatus, electronic device, and storage medium, aiming to improve the adaptability of circuit structure characteristics to simulation schemes.

[0005] To achieve the above objectives, a first aspect of this application proposes a circuit structure simulation method, the method comprising: Obtain simulation requirements and the circuit topology to be simulated; Based on the circuit topology, characteristic analysis is performed to obtain circuit characteristic information; Based on the simulation requirements information and the circuit characteristic information, a matching target simulation scheme is determined from a number of preset candidate simulation schemes. The circuit topology is simulated based on the target simulation scheme to obtain the target simulation results.

[0006] In some embodiments, the step of performing characteristic analysis based on the circuit topology to obtain circuit characteristic information includes: A controlled characteristic analysis is performed on the physical components contained in the circuit topology to obtain the transient response characteristics of the circuit topology; Electromagnetic induction correlation analysis is performed on the physical components contained in the circuit topology to obtain coupling dimension characteristic information; The circuit characteristic information is obtained based on the transient response characteristics and the coupling dimension characteristic information.

[0007] In some embodiments, determining a matching target simulation scheme from a preset pool of candidate simulation schemes based on the simulation requirement information and the circuit characteristic information includes: Obtain the numerical convergence accuracy requirements from the simulation requirements information; Based on the transient response characteristics of the circuit characteristics information, the transient response requirements are obtained; Based on the coupling dimension characteristic information of the circuit characteristic information, the coupling strength requirement is obtained; Based on the numerical convergence accuracy requirements, the transient response requirements, and the coupling strength requirements, a scheme matching process is performed to determine the target simulation scheme from several candidate simulation schemes.

[0008] In some embodiments, the step of simulating the circuit topology based on the target simulation scheme to obtain the target simulation result includes: The external connection environment of the circuit topology is defined as the external equivalent region; The external equivalent region is simplified by modeling it as a controlled excitation source containing equivalent power supply elements, and the equivalent power supply elements are connected to the circuit topology. A preliminary simulation of the circuit topology is performed based on the external equivalent region to obtain deviation feedback data. Based on the deviation feedback data, parameter adjustment processing is performed on the equivalent power supply element, and the simulation processing is repeated until the simulation output characteristics meet the preset actual system characteristics, thereby obtaining the target simulation result.

[0009] In some embodiments, the circuit topology includes a current-limiting phase-shifting transformer, which includes a series transformer and a magnetizing transformer. The simulation processing of the circuit topology based on the target simulation scheme to obtain the target simulation result includes: The series transformer is modeled as a three-winding transformer element to obtain a series transformer sub-model with a primary side delta connection and a secondary side three-phase independent connection. The excitation transformer is modeled as a single-phase transformer element to obtain a sub-model of the excitation transformer with a star connection on the secondary side. The midpoint of the primary winding of the series transformer sub-model is led out, and the lead-out line is connected to the primary side of the excitation transformer sub-model to obtain the coupling mapping model. The target simulation result is obtained by performing simulation processing based on the coupling mapping model.

[0010] In some embodiments, the current-limiting phase-shifting transformer further includes anti-parallel thyristors, and the simulation processing based on the coupling mapping model to obtain the target simulation result includes: Obtain preset performance parameters of the switching components, and perform switching element modeling based on the performance parameters of the switching components to obtain the voltage regulation module; The anti-parallel thyristors are modeled as power electronic switching elements to obtain a current limiting control module; The voltage regulation module, the current limiting control module and the coupling mapping model are topologically integrated to obtain a refined model; The target simulation result is obtained by performing simulation processing based on the refined model.

[0011] In some embodiments, the current-limiting phase-shifting transformer further includes an impedance element, the impedance element including a first interface and a second interface, and the method further includes: The first interface of the impedance element is connected to the secondary side lead of the three-winding transformer element, and the second interface is grounded through the power electronic switching element. Based on a preset fault trigger signal, the conduction state of the impedance element in the refined model is adjusted by the power electronic switching element to perform simulation.

[0012] To achieve the above objectives, a second aspect of this application provides a circuit structure simulation device, the device comprising: The data acquisition module is used to acquire simulation requirement information and the circuit topology to be simulated. The circuit characteristic analysis module is used to perform characteristic analysis based on the circuit topology to obtain circuit characteristic information. The simulation scheme matching module is used to determine the target simulation scheme from a number of preset candidate simulation schemes based on the simulation requirement information and the circuit characteristic information. The simulation processing module is used to perform simulation processing on the circuit topology based on the target simulation scheme to obtain the target simulation result.

[0013] To achieve the above objectives, a third aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the circuit structure simulation method described in the first aspect.

[0014] To achieve the above objectives, a fourth aspect of the present application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the circuit structure simulation method described in the first aspect.

[0015] The circuit structure simulation method, apparatus, electronic device, and storage medium proposed in this application acquire simulation requirement information and the circuit topology to be simulated. Based on the circuit topology, characteristic analysis is performed to obtain circuit characteristic information. Based on the simulation requirement information and circuit characteristic information, a matching target simulation scheme is determined from several pre-set candidate simulation schemes. The circuit topology is then simulated based on the target simulation scheme to obtain the target simulation result. Therefore, this application obtains circuit characteristic information through characteristic analysis of the circuit topology, and determines a matching target simulation scheme from several pre-set candidate simulation schemes based on the simulation requirement information and circuit characteristic information. This selects the matching target simulation algorithm logic and corresponding software platform kernel, directly eliminating the potential risks of physical process reproduction failure or unbalanced computational resource utilization caused by improper platform selection. Finally, simulation processing is performed based on the matched target simulation scheme, and the target simulation result is output. This improves the adaptability between the circuit topology and the simulation scheme, ensuring that the modeling and simulation process can balance the simulation accuracy of electromagnetic transients with the computational efficiency of large-scale power grids, achieving accurate reproduction and verification of the physical behavior of complex power equipment. Attached Figure Description

[0016] Figure 1 This is a schematic flowchart of the circuit structure simulation method provided in the embodiments of this application; Figure 2 yes Figure 1 A flowchart illustrating step S102 in the process; Figure 3 yes Figure 1 A flowchart illustrating step S103 in the process; Figure 4 yes Figure 1 A flowchart illustrating step S104 in the process; Figure 5 yes Figure 1 Another flowchart of step S104 in the process; Figure 6 This is a topology diagram of the current-limiting phase-shifting transformer provided in the embodiments of this application; Figure 7 yes Figure 5 A flowchart illustrating step S504 in the process; Figure 8 This is another schematic flowchart of the circuit structure simulation method provided in the embodiments of this application; Figure 9This is a simulation model of the current-limiting phase-shifting transformer provided in the embodiments of this application; Figure 10 This is a schematic diagram of the circuit structure simulation device provided in the embodiments of this application; Figure 11 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0018] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0020] First, let's analyze some of the terms used in this application: A current-limiting phase-shifting transformer is a complex power device integrating multiple components such as a series transformer, excitation transformer, on-load tap changer, fast switch, anti-parallel thyristor, and current-limiting impedance. It is widely used in power flow control and short-circuit current limiting in AC transmission systems. This device achieves flexible control of line power flow by adjusting the amplitude and phase of the excitation voltage. Furthermore, in the event of a short-circuit fault in the power system, it quickly connects the current-limiting impedance to limit the fault current, thereby improving the safe and stable operation of the power grid.

[0021] A solid-state transformer (SST) is a static power device that utilizes power electronic conversion technology and a high-frequency transformer to achieve voltage transformation, electrical isolation, and energy transfer. SSTs are intelligent power devices integrating various electronic components such as power rectifier units, high-frequency isolation transformers, intermediate DC links, power inverter units, and advanced control systems. They are widely used in modern power grids, including distributed power source integration, microgrids, and smart distribution systems. This device achieves voltage transformation, electrical isolation, and bidirectional energy transfer through multi-stage power electronic conversion technology. While providing efficient power conversion and flexible power control, it can optimize voltage quality in real time and achieve multi-port energy complementarity, thereby significantly improving the flexibility and operational efficiency of power system power distribution.

[0022] Power system simulation is a fundamental tool for power engineering planning, design, operation, and protection and control strategy verification. From the analysis of distributed energy grid connection characteristics on the power source side, to the assessment of AC / DC hybrid transmission capacity on the grid side, and then to the study of power quality impact on the load side, power system simulation runs through the entire life cycle of power engineering, providing a scientific basis for major engineering decisions, a pre-simulation environment for operation and control schemes, and data support for fault analysis and protection settings. The circuit structure of modern power equipment is becoming increasingly complex, often containing multiple components such as electromagnetic coupling elements, power electronic switching devices, mechanical control components, and external system interfaces, exhibiting significant characteristics of multi-timescale and multi-physical field coupling.

[0023] However, current simulation platforms each have their own characteristics. If the functional characteristics of the simulation platform do not match the inherent requirements of the circuit structure, it will lead to oversimplification of the model or waste of computing resources. In severe cases, it may even be impossible to reproduce the key physical processes, resulting in systematic deviations in design verification.

[0024] Existing simulation technologies have significant shortcomings in terms of the scientific nature of platform selection, the degree of matching with circuit structure characteristics, and the ability of hierarchical collaborative modeling. There is an urgent need to establish a simulation platform selection method based on circuit structure characteristic analysis. By systematically analyzing the electromagnetic transient characteristics, time scale distribution, coupling complexity, and simulation scale requirements of the circuit topology, the method can objectively match the computational principles, component library characteristics, and processing capabilities of the simulation platform. This will achieve optimal technical adaptation between simulation tools and simulation objects, providing methodological support for the accurate and efficient simulation of complex power equipment.

[0025] Based on this, embodiments of this application provide a circuit structure simulation method, apparatus, electronic device, and storage medium, aiming to improve the adaptability of circuit structure characteristics to simulation schemes.

[0026] The circuit structure simulation method, apparatus, electronic device and storage medium provided in the embodiments of this application are specifically described through the following embodiments. First, the circuit structure simulation method in the embodiments of this application is described.

[0027] The circuit structure simulation method provided in this application relates to the field of power system technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, etc.; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application implementing the circuit structure simulation method, but is not limited to the above forms.

[0028] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0029] Figure 1 This is an optional flowchart illustrating the circuit structure simulation method provided in this application embodiment. Figure 1 The method may include, but is not limited to, steps S101 to S104.

[0030] Step S101: Obtain simulation requirement information and the circuit topology to be simulated; Step S102: Perform characteristic analysis based on the circuit topology to obtain circuit characteristic information; Step S103: Based on simulation requirement information and circuit characteristic information, determine the matching target simulation scheme from a number of preset candidate simulation schemes; Step S104: Simulate the circuit topology based on the target simulation scheme to obtain the target simulation results.

[0031] Steps S101 to S104 of this embodiment involve acquiring simulation requirement information and the circuit topology to be simulated, performing characteristic analysis based on the circuit topology to obtain circuit characteristic information, determining a matching target simulation scheme from a set of pre-set candidate simulation schemes based on the simulation requirement information and the circuit characteristic information, and performing simulation processing on the circuit topology based on the target simulation scheme to obtain the target simulation result. Thus, this application obtains circuit characteristic information by performing characteristic analysis on the circuit topology, and determines a matching target simulation scheme from a set of pre-set candidate simulation schemes based on the simulation requirement information and the circuit characteristic information. This selects the matching target simulation algorithm logic and the corresponding software platform kernel, directly eliminating the potential risks of physical process reproduction failure or unbalanced computational resource utilization caused by improper platform selection. Finally, simulation processing is performed based on the matched target simulation scheme, and the target simulation result is output. This improves the adaptability between the circuit topology and the simulation scheme, ensuring that the modeling and simulation process can balance the simulation accuracy of electromagnetic transients with the computational efficiency of large-scale power grids, achieving accurate reproduction and verification of the physical behavior of complex power equipment.

[0032] In step S101 of some embodiments, simulation requirement information is obtained through a data acquisition interface or a preset task configuration file, and the circuit topology to be simulated is obtained simultaneously. This simulation requirement information typically includes numerical calculation accuracy indicators for a specific engineering scenario and time constraints on simulation running efficiency, while the circuit topology fully defines the physical component connection relationships, electromagnetic winding layout, and types of nonlinear electronic devices contained within the simulated object.

[0033] In step S102 of some embodiments, a multi-dimensional characteristic analysis is performed on the circuit topology to generate circuit characteristic information that accurately reflects the physical essence. This is achieved by extracting key parameters in the circuit topology that affect computational stability, such as identifying the presence of anti-parallel thyristors with millisecond-level fast switching characteristics, or analyzing the degree of coupling in complex magnetic circuits between various physical components. Through these analyses, the circuit characteristic information can quantify the rigid requirements of the circuit structure on the simulation scheme.

[0034] Please see Figure 2 In some embodiments, step S102 may include, but is not limited to, steps S201 to S203: Step S201: Perform controlled characteristic analysis on the physical components contained in the circuit topology to obtain the transient response characteristics of the circuit topology; Step S202: Perform electromagnetic induction correlation analysis on the physical components contained in the circuit topology to obtain coupling dimension characteristic information; Step S203: Based on transient response characteristics and coupling dimension characteristics, obtain circuit characteristic information.

[0035] In step S201 of some embodiments, by identifying physical components such as anti-parallel thyristors and power electronic switches integrated in the circuit topology, the behavior of these devices during steady-state operation and fault state switching is analyzed in depth. By analyzing the transient transition process of electronic devices from turn-off to trigger turn-on within milliseconds, electromagnetic fluctuations generated by the circuit under extreme operating conditions are captured, and transient response characteristics reflecting drastic changes in voltage and current in the circuit topology are extracted.

[0036] In step S202 of some embodiments, electromagnetic induction correlation analysis is performed on physical components such as series transformers and excitation transformers in the circuit topology. By studying the magnetic circuit coupling relationship between the three-winding transformer and the single-phase transformer, as well as the connection logic between various physical components, the energy exchange depth and electrical constraint relationship between different physical branches can be defined, thereby generating quantified coupling dimension characteristic information.

[0037] In step S203 of some embodiments, the acquired transient response characteristics and coupling dimension characteristic information are integrated and processed in multiple dimensions to finally generate circuit characteristic information that can fully characterize the physical properties of the circuit. The circuit characteristic information not only defines the accuracy requirements of the numerical integration step size of the simulation model, but also defines the logical requirements for processing complex node matrices, providing a basis for subsequently selecting the target simulation scheme from multiple candidate simulation schemes.

[0038] In some specific embodiments, a current-limiting phase-shifting transformer is used as the analysis object. By identifying the anti-parallel thyristor assembly integrated in the circuit topology, controlled characteristic analysis is performed on this assembly. Specifically, the analysis examines the untriggered state of the anti-parallel thyristor during normal grid operation, as well as its controlled behavior of being triggered to conduct immediately upon a short-circuit fault. By calculating the millisecond-level switching process of the thyristor from blocking to conducting, the nonlinear electromagnetic fluctuations caused by this action are captured, thereby obtaining transient response characteristics including switching action timing and current change rate.

[0039] Then, the magnetic circuit correlation logic between the series transformer and the excitation transformer in the circuit topology is analyzed in depth. By performing electromagnetic induction correlation analysis, the special connection structure of the series transformer with a delta connection on the primary side and the excitation voltage drawn from the midpoint of the winding is identified, and the electrical connection relationship between the secondary side corner leads of the series transformer and the secondary winding of the excitation transformer is obtained through a cross phase sequence. This in-depth analysis of the magnetic circuit coupling and wiring matrix between multiple windings can produce coupling dimension characteristic information including mutual inductance parameters and topological connection constraints.

[0040] The extracted transient response features and coupling dimension characteristics are integrated to generate circuit characteristic information for the current-limiting phase-shifting transformer. This circuit characteristic information clearly reveals that the simulated object not only possesses high-frequency power electronic transient processes but also has complex electromagnetic coupling topology requirements, providing explicit selection criteria when choosing a target simulation scheme from multiple candidate schemes.

[0041] In other specific embodiments, solid-state transformers are used as the analysis object. By identifying power devices such as insulated-gate bipolar thyristors integrated in the rectifier stage, high-frequency isolation stage, and inverter stage, their high-frequency switching actions driven by pulse width modulation (PWM) signals are analyzed. By calculating the turn-on and turn-off processes of the devices on a microsecond timescale, voltage fluctuations and current ripples generated during high-frequency commutation are captured, thereby extracting transient response characteristics that include carrier frequency features and high-frequency transient distortions.

[0042] Then, electromagnetic induction correlation analysis is performed on the high-frequency isolation transformer and multi-stage conversion circuit inside the solid-state transformer. This allows us to obtain the energy transfer logic between the intermediate stage DC link and the high-frequency magnetic circuit. We can also extract the leakage inductance parameters, winding distributed capacitance, and electrical isolation constraints between each stage of the high-frequency transformer under non-sinusoidal excitation. By deconstructing the topological correlation of the rectifier stage, isolation conversion stage, and inverter stage, we can generate coupling dimension characteristic information that includes high-frequency impedance characteristics and multi-port power mapping relationships.

[0043] In step S203 of some embodiments, the acquired high-frequency transient response characteristics are integrated with the coupling dimension characteristic information between multi-level topologies to generate circuit characteristic information for the solid-state transformer. The circuit characteristic information clearly defines the simulated object as having multi-timescale characteristics spanning from microseconds to milliseconds.

[0044] Through steps S201 to S203, a progressive analysis of the circuit topology, from switching action to magnetic coupling, is performed. This solves the technical problem of blindly selecting a platform due to unclear circuit attribute identification in the early stages of simulation modeling, ensuring that the generated circuit characteristic information can accurately match the simulation platform kernel. It also ensures that subsequent simulation processes can accurately reproduce complex circuit characteristics while maintaining numerical computation efficiency in large-scale power grid environments, thereby significantly improving the design accuracy of the simulation model and the reliability of engineering verification.

[0045] In step S103 of some embodiments, a matching target simulation scheme is automatically retrieved from a number of preset candidate simulation schemes based on a comprehensive matching of simulation requirement information and circuit characteristic information.

[0046] When circuit characteristic information reveals that there are electromagnetic transient processes in the circuit topology that must be captured, a simulation scheme based on the time-domain integration algorithm and supporting parallel computing will be selected as the target simulation scheme to avoid the risk of simulation accuracy failure due to limitations of the algorithm kernel.

[0047] Please see Figure 3 In some embodiments, step S103 may include, but is not limited to, steps S301 to S304: Step S301: Obtain the numerical convergence accuracy requirements from the simulation requirements information; Step S302: Based on the transient response characteristics of the circuit characteristics information, the transient response requirements are obtained; Step S303: Based on the coupling dimension characteristic information of the circuit characteristic information, obtain the coupling strength requirement; Step S304: Based on the numerical convergence accuracy requirements, transient response requirements, and coupling strength requirements, perform scheme matching processing to determine the target simulation scheme from several candidate simulation schemes.

[0048] In step S301 of some embodiments, numerical convergence accuracy requirements are extracted from the acquired simulation requirement information. This requirement typically reflects the tolerance of power engineering for the error range of simulation results, such as the allowable deviation in distortion rate of waveforms for a specific voltage level. By clearly defining the numerical convergence accuracy requirements, a low-level threshold can be set for the selection of subsequent calculation algorithms, ensuring that the simulation model can achieve the expected stability and accuracy during the numerical solution process.

[0049] In step S302 of some embodiments, transient response characteristics from the circuit characteristic information are used for derivation to obtain the corresponding transient response requirements. Considering that the circuit structure may contain fast-acting power electronic devices such as thyristors, their switching behavior on millisecond or even shorter timescales can trigger significant electromagnetic transient processes. Therefore, this step transforms the physical transient response characteristics into specific requirements for the simulation step size and sampling frequency to ensure that the computational kernel has the ability to capture high-frequency transient signals.

[0050] In step S303 of some embodiments, logical analysis is performed based on the coupling dimension characteristic information in the circuit characteristic information to obtain the coupling strength requirements. For example, the simulated object is a current-limiting phase-shifting transformer, which involves complex electromagnetic induction relationships between multiple transformer windings and special wiring topologies, such as extracting the excitation voltage from the midpoint and a hybrid delta and star connection. The coupling strength requirements clarify the computational depth of the simulation algorithm on multi-dimensional coupling terms when processing the node admittance matrix, thereby guiding the selection of a mathematical model that can accurately handle complex magnetic circuit coupling relationships.

[0051] In step S304 of some embodiments, numerical convergence accuracy requirements, transient response requirements, and coupling strength requirements are used as criteria to perform scheme matching processing with preset candidate simulation schemes, thereby determining the target simulation scheme. The technical characteristics of different simulation platforms can be compared; for example, it can be identified that some simulation platforms have limited parallel computing capabilities in large-scale power grid simulations, while others have fundamental defects in handling transient processes. Finally, the simulation platform that can simultaneously meet the requirements of electromagnetic transient accuracy and large-scale computing efficiency is selected as the target simulation scheme, providing the optimal software environment for subsequent ontology modeling and power grid equivalent simulation. The target simulation scheme includes the target simulation algorithm logic and the corresponding software platform kernel.

[0052] Steps S301 to S304 achieve a scientific connection between underlying physical characteristics and a high-level simulation platform. This multi-dimensional selection mechanism, based on accuracy requirements, response speed, and coupling complexity, directly addresses the technical pain point of mismatch between simulation tool selection and circuit topology requirements in existing technologies. By quantifying various simulation indicators and performing closed-loop matching, it not only ensures that the simulation results can highly reproduce the nonlinear dynamic behavior of complex devices such as current-limiting phase-shifting transformers, but also significantly improves efficiency by matching simulation schemes with parallel computing capabilities, effectively avoiding design refactoring and systemic deviations caused by improper tool selection.

[0053] In step S104 of some embodiments, the circuit topology is deeply simulated using the built-in professional component library and numerical solution environment of the target simulation scheme, ultimately generating the target simulation result. During this process, the physical components in the circuit topology are mapped one by one to specific functional models in the simulation platform. For example, a current-limiting phase-shifting transformer is mapped to a three-winding transformer element, and partitioned modeling and parameter equivalence simplification are performed for large-scale power grids. In this way, the target simulation result can accurately reproduce the electrical behavior data of complex equipment in steady-state and transient processes.

[0054] Please see Figure 4 In some embodiments, step S104 may include, but is not limited to, steps S401 to S404: Step S401: Determine the external connection environment of the circuit topology as the external equivalent region; Step S402: Simplify the model of the external equivalent region, model it as a controlled excitation source containing equivalent power supply elements, and connect the equivalent power supply elements to the circuit topology. Step S403: Perform preliminary simulation processing on the circuit topology based on the external equivalent region to obtain deviation feedback data; Step S404: Based on the deviation feedback data, perform parameter adjustment processing on the equivalent power supply element, and repeat the simulation processing until the simulation output characteristics meet the preset actual system characteristics, and obtain the target simulation result.

[0055] In step S401 of some embodiments, by analyzing the specific access locations of the circuit topology, the vast power grid environment outside the access points of the circuit topology is determined as the external equivalent region. This partitioning process aims to lock in local areas, including device access points, as the main objects for refined modeling, thereby laying the physical boundary foundation for subsequent model simplification operations that reduce computational dimensionality.

[0056] In step S402 of some embodiments, a model simplification process is performed on the determined external equivalent region. The complex external network topology is replaced with a controlled excitation source, modeling it as a controlled excitation source containing equivalent power supply elements. By utilizing the adjustable parameters of the power supply elements in the simulation software, and electrically connecting the equivalent power supply elements to the boundary connection points of the circuit topology, a simplified reconstruction of the core equipment operating environment in a large-scale circuit environment is achieved.

[0057] In step S403 of some embodiments, preliminary simulation processing is performed on the circuit topology structure jointly formed by the circuit topology structure and the external equivalent region based on preset initial parameters of the external equivalent region. By extracting voltage, current or power flow data after the simulation run and comparing and analyzing them with reference data, the calculation deviation caused by model simplification or initial parameter settings is quantified, and deviation feedback data is obtained to guide subsequent optimization.

[0058] In step S404 of some embodiments, based on the acquired deviation feedback data and referring to the actual equivalent impedance parameters of the external equivalent region, fine-grained parameter adjustment is performed on the amplitude, internal impedance, and phase angle of the equivalent power supply element. By repeatedly calling the simulation kernel and performing iterative parameter correction, until the electrical characteristics of the simulation output are highly consistent with the preset actual system characteristics, the target simulation result that can take into account both transient details and response characteristics is finally obtained.

[0059] Through steps S401 to S404, by performing partitioned equivalent and parameter iterative calibration on a large-scale power grid environment, the technical problems of low computational efficiency and poor parallel capability in the simulation platform when handling large-scale power grid simulation can be solved. By introducing a controlled excitation source and combining it with a deviation feedback mechanism, the number of node calculations in the simulation model is significantly reduced, ensuring computational efficiency in large-scale engineering application scenarios. Furthermore, the dynamic adjustment of parameters ensures the accurate restoration of the physical characteristics of the external system by the equivalent model, thereby providing highly reliable data support for the collaborative control and verification of complex circuit devices such as current-limiting phase-shifting transformers or solid-state transformers in large-scale circuit systems.

[0060] Please see Figure 5 In some embodiments, the circuit topology includes a current-limiting phase-shifting transformer, which includes a series transformer and an excitation transformer. Step S104 may include, but is not limited to, steps S501 to S504: Step S501: Perform three-winding transformer element modeling on the series transformer to obtain a series transformer sub-model with a primary side delta connection and a secondary side three-phase independent connection. Step S502: Perform single-phase transformer element modeling on the excitation transformer to obtain an excitation transformer sub-model with a star connection on the secondary side. Step S503: The midpoint of the primary winding of the series transformer sub-model is led out, and the lead-out line is connected to the primary side of the excitation transformer sub-model to obtain the coupled mapping model. Step S504: Perform simulation processing based on the coupled mapping model to obtain the target simulation results.

[0061] In step S501 of some embodiments, modeling is performed on the series transformer. Three three-winding transformer elements are used to construct the model on a simulation platform, and the second and third windings are defined as the secondary side of the series transformer. This modeling method enables the resulting series transformer sub-model to possess the electrical topology characteristics of a primary side delta connection and a secondary side three-phase independent connection, thereby meeting the physical requirements of series connection lines and providing compensation voltage.

[0062] In step S502 of some embodiments, modeling is performed on the excitation transformer by selecting three independent single-phase transformer elements to construct the phase structure respectively, in order to meet the requirements of phase-by-phase control. By configuring the element parameters, the primary and secondary windings of the obtained excitation transformer sub-model are both star-connected, with the primary winding performing a star ground connection, thereby ensuring that the excitation transformer stably obtains excitation voltage.

[0063] In step S503 of some embodiments, coupling association processing is performed on the series transformer sub-model and the excitation transformer sub-model. This process involves drawing interfaces from the midpoints of the primary windings of each phase of the series transformer sub-model and connecting each lead to the primary winding of the corresponding phase of the excitation transformer sub-model. This connection method constructs a functional link that extracts the excitation voltage from the midpoint of the series windings, forming a coupling mapping model that can accurately map the electromagnetic coupling relationship and complex node connection characteristics between the two sets of transformers.

[0064] In step S504 of some embodiments, the constructed coupled mapping model is connected to the simulation platform for numerical calculation. Based on the electromagnetic transient calculation logic determined by the target simulation scheme, the electrical response of the coupled mapping model under steady-state power flow regulation or short-circuit fault current-limiting conditions is dynamically solved, and the target simulation result is finally obtained. This result verifies the accuracy of the modeling process in restoring the complex physical nature of the current-limiting phase-shifting transformer by capturing the current and voltage waveform data between the transformer windings.

[0065] By performing specific phase-by-phase modeling and midpoint lead connection processing on the series transformer and excitation transformer through steps S501 to S504, the technical challenge of traditional modeling schemes in reproducing the special electromagnetic coupling relationships inside current-limiting phase-shifting transformers is successfully solved. By simulating the characteristics of independent secondary windings using three-winding transformer elements and combining this with the physical reconstruction of the midpoint tap, this method significantly improves the simulation accuracy of the complex winding structure of the equipment. This refined modeling process not only ensures that the target simulation results can accurately reproduce the transient physical processes of the equipment when performing phase adjustment and current-limiting actions, but also greatly enhances the reliability and guiding value of the simulation data in power engineering design and operation strategy verification.

[0066] In some specific embodiments, please refer to Figure 6 , Figure 6 The topology diagram of the current-limiting phase-shifting transformer used for modeling this invention is shown. The current-limiting phase-shifting transformer mainly includes a series transformer, an excitation transformer, an anti-parallel thyristor, an on-load tap changer, a polarity switch, a fast switch, and a current-limiting impedance.

[0067] The excitation transformer is a three-phase, double-winding transformer, with both primary and secondary windings connected in a star configuration. The primary winding is connected in parallel to the circuit to obtain the system excitation voltage. The secondary winding is equipped with an on-load tap changer with multiple adjustment levels, allowing for flexible control of the excitation voltage amplitude. The secondary side of the excitation transformer is connected to the primary side of a series transformer, which is a three-phase, double-winding on-load tap changer. The primary winding of the series transformer is delta-connected, while the secondary winding is a three-phase independent connection. The independent secondary windings of the series transformer are connected in series to the circuit. The excitation voltage is taken from the midpoint of the series windings.

[0068] A polarity switch is installed on the secondary winding of the excitation transformer. By switching this switch, the phase of the compensation voltage of the series transformer can be reversed, thereby meeting the bidirectional adjustment requirements of the system voltage phase lead and lag. During steady-state operation, the anti-parallel thyristor is in an untriggered state, and the current-limiting impedance is not connected to the system. When a fault occurs in the large-scale circuit, the anti-parallel thyristor is immediately triggered, and the fast switch on the switching terminal opens. The excitation transformer switches to an unloaded state and is disconnected from the large-scale circuit. At this time, the current-limiting impedance is connected to the circuit.

[0069] The connection methods of the three-phase transformer elements corresponding to the series transformer and the excitation transformer are as follows: the primary windings of phase A, phase B and phase C of the series transformer are connected in a delta configuration; the secondary windings of phase A, phase B and phase C of the series transformer are connected in a delta configuration; the primary windings of phase A, phase B and phase C of the excitation transformer are connected in a star-grounded configuration; and the secondary windings of phase A, phase B and phase C of the excitation transformer are connected in a star-grounded configuration through a range switch.

[0070] The midpoint lead of the primary winding of phase A of the series transformer is connected to the primary winding of phase A of the excitation transformer. The midpoint lead of the primary winding of phase B of the series transformer is connected to the primary winding of phase B of the excitation transformer. The midpoint lead of the primary winding of phase C of the series transformer is connected to the primary winding of phase C of the excitation transformer. The angle leads of the secondary windings of phases A and C of the series transformer are connected to the secondary winding of phase B of the excitation transformer via a fast switch and an on-load tap changer. The angle leads of the secondary windings of phases A and B of the series transformer are connected to the secondary winding of phase C of the excitation transformer via a fast switch and an on-load tap changer. The angle leads of the secondary windings of phases B and C of the series transformer are connected to the secondary winding of phase A of the excitation transformer via a fast switch and an on-load tap changer.

[0071] The excitation transformer is equipped with load tap changers on the secondary windings of phase A, phase B, and phase C. The secondary windings of phase A, phase B, and phase C are all grounded. One end of each of the three current-limiting impedances is grounded through an anti-parallel thyristor, and the other end of each current-limiting impedance is connected to the angle lead of the secondary winding of the series transformer.

[0072] Please see Figure 7 In some embodiments, the current-limiting phase-shifting transformer further includes an anti-parallel thyristor, and step S504 may include, but is not limited to, steps S601 to S604: Step S601: Obtain preset switching component performance parameters, perform switching element modeling based on the switching component performance parameters, and obtain the voltage regulation module; Step S602: Perform power electronic switching element modeling on the anti-parallel thyristors to obtain the current limiting control module; Step S603: The voltage regulation module, current limiting control module and coupling mapping model are topologically integrated to obtain a refined model; Step S604: Perform simulation processing based on the refined model to obtain the target simulation results.

[0073] In step S601 of some embodiments, preset performance parameters of the switching components are first obtained. These parameters cover the mechanical action sequence and electrical ratings of on-load tap changers, polarity switches, and fast switches. Based on these performance parameters, switching element modeling is performed in a simulation platform. For example, a rotary switch element is used to simulate the multi-position adjustment characteristics of an on-load tap changer, thereby constructing a voltage regulation module. This module provides a functional unit with a parameterized interface for accurately controlling the amplitude and polarity of the excitation voltage in subsequent simulation calculations.

[0074] In step S602 of some embodiments, power electronic switching element modeling is performed for the anti-parallel thyristors. By selecting a power electronic switching model in a simulation platform, the transient behavior of the thyristor during conduction and turn-off under the action of a millisecond-level trigger signal can be accurately reproduced, thereby obtaining a current-limiting control module. The current-limiting control module is used to simulate the nonlinear action process in which the thyristor is immediately triggered to connect the current-limiting impedance when a fault occurs in a large-scale circuit.

[0075] In step S603 of some embodiments, the voltage regulation module, the current limiting control module, and the coupling mapping model generated in the previous step are subjected to topology integration processing to construct a refined model. During this integration process, the voltage regulation module is connected to the secondary winding of the excitation transformer via a fast switch and a voltage regulating switch, while the current limiting control module performs controlled grounding on one end of the current limiting impedance through an anti-parallel thyristor, and connects the other end to the corner lead on the secondary side of the series transformer. This deep integration ensures that the refined model can completely reproduce the complex electrical and mechanical interaction topology inside the current-limiting phase-shifting transformer.

[0076] In step S604 of some embodiments, a simulation program is started based on the completed refined model to obtain the target simulation results. Because the refined model integrates electromagnetic coupling characteristics and discrete switching logic, the simulation platform can simultaneously solve for the magnetic field evolution of the multi-winding transformer and the instantaneous numerical changes of the power electronic devices. By running this simulation process, electrical characteristic waveforms and operating data that reflect the circuit topology under all operating conditions of steady-state regulation and fault current limiting are ultimately generated.

[0077] Through steps S601 to S604, by introducing modular modeling and topology integration of the voltage regulation module and the current limiting control module, the technical challenge of simultaneously considering the timing of mechanical actions and the transient processes of power electronic switching in traditional power system simulations is successfully solved. This refined modeling strategy ensures that the simulation model can accurately reproduce the dynamic response of the current-limiting phase-shifting transformer under complex control logic, avoiding systematic deviations caused by neglecting the nonlinear characteristics of devices. By organically unifying discrete switching elements with a continuous electromagnetic coupling model, this method significantly improves the simulation accuracy of complex power electronic equipment in fault transient reproduction, providing rigorous and scientific data support for the design optimization of circuit topologies and their engineering application verification in power grids.

[0078] Please see Figure 8 In some embodiments, the current-limiting phase-shifting transformer further includes an impedance element. Embodiments of this application may also include, but are not limited to, steps S701 to S702: Step S701: Connect the first interface of the impedance element to the secondary side lead of the three-winding transformer element, and perform controlled grounding treatment on the second interface through the power electronic switching element. Step S702: Based on a preset fault trigger signal, the conduction state of the impedance element in the refined model is adjusted by a power electronic switching element to perform simulation.

[0079] In steps S701 to S702 of some embodiments, the first interface of the impedance element is connected to the secondary side lead of the three-winding transformer element to provide necessary electrical impedance support under simulated fault conditions. Simultaneously, the second interface of the impedance element undergoes controlled grounding via a power electronic switching element. This specific connection topology constructs a current-limiting path in parallel with the main circuit, where the power electronic switching element, as the controlled core of this branch, directly determines the connection state of the impedance element in the circuit.

[0080] Based on a preset fault trigger signal, the power electronic switching element responds to the command and changes its on / off state, thereby adjusting the current conduction logic of the impedance element in the refined model. By simulating the triggering and conduction behavior of power electronic devices at the moment of fault, the suppression effect of the current-limiting impedance on the line short-circuit current can be observed in real time, thus completing the transient numerical simulation for extreme operating conditions.

[0081] Through steps S701 to S702, accurate modeling of the key protection functions of the current-limiting phase-shifting transformer was achieved. This technical solution, utilizing the controlled impedance adjustment of power electronic switches, solves the technical bottleneck of existing technologies in dynamically and accurately reproducing the current-limiting action process in power system simulation. By combining the impedance element with a specific angle lead-out structure on the secondary side of the three-winding transformer, this method can not only accurately simulate the electromagnetic transient response of the equipment at the moment of a fault, but also significantly improve the reliability of the simulation model in analyzing complex short-circuit faults and system stability margins.

[0082] In some specific embodiments, through the above simulation processing of the current-limiting phase-shifting transformer, the final result can be as follows: Figure 9 The simulation model of the current-limiting phase-shifting transformer is shown.

[0083] This application's embodiments obtain simulation requirement information and the circuit topology to be simulated, perform characteristic analysis based on the circuit topology to obtain circuit characteristic information, and determine a matching target simulation scheme from a number of pre-set candidate simulation schemes based on the simulation requirement information and circuit characteristic information. The circuit topology is then simulated based on the target simulation scheme to obtain the target simulation result. Therefore, this application obtains circuit characteristic information by performing characteristic analysis on the circuit topology, and determines a matching target simulation scheme from a number of pre-set candidate simulation schemes based on the simulation requirement information and circuit characteristic information. This selects the matching target simulation algorithm logic and corresponding software platform kernel, directly eliminating the potential risks of physical process reproduction failure or unbalanced computational resource utilization caused by improper platform selection. Finally, simulation processing is performed based on the matched target simulation scheme, and the target simulation result is output. This improves the adaptability between the circuit topology and the simulation scheme, ensuring that the modeling and simulation process can balance the simulation accuracy of electromagnetic transients with the computational efficiency of large-scale power grids, achieving accurate reproduction and verification of the physical behavior of complex power equipment.

[0084] Please see Figure 10 This application also provides a circuit structure simulation device that can implement the above-described circuit structure simulation method. The device includes: The data acquisition module is used to acquire simulation requirement information and the circuit topology to be simulated. The circuit characteristic analysis module is used to perform characteristic analysis based on the circuit topology to obtain circuit characteristic information. The simulation scheme matching module is used to determine the target simulation scheme from a number of preset candidate simulation schemes based on simulation requirement information and circuit characteristic information. The simulation processing module is used to simulate the circuit topology based on the target simulation scheme and obtain the target simulation results.

[0085] The specific implementation of this circuit structure simulation device is basically the same as the specific implementation of the circuit structure simulation method described above, and will not be repeated here.

[0086] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the circuit structure simulation method described above. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0087] Please see Figure 11 , Figure 11 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 1101 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 1102 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 1102 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1102 and called by the processor 1101 to execute the circuit structure simulation method of the embodiments of this application. Input / output interface 1103 is used to implement information input and output; The communication interface 1104 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 1105 transmits information between various components of the device (e.g., processor 1101, memory 1102, input / output interface 1103, and communication interface 1104); The processor 1101, memory 1102, input / output interface 1103 and communication interface 1104 are connected to each other within the device via bus 1105.

[0088] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described circuit structure simulation method.

[0089] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0090] The circuit structure simulation method, apparatus, electronic device, and storage medium provided in this application acquire simulation requirement information and the circuit topology to be simulated. Based on the circuit topology, they perform characteristic analysis to obtain circuit characteristic information. Based on the simulation requirement information and circuit characteristic information, they determine a matching target simulation scheme from a set of pre-set candidate simulation schemes. Based on the target simulation scheme, they perform simulation processing on the circuit topology to obtain the target simulation result. Therefore, this application obtains circuit characteristic information by performing characteristic analysis on the circuit topology, and determines a matching target simulation scheme from a set of pre-set candidate simulation schemes based on the simulation requirement information and circuit characteristic information. This selects the matching target simulation algorithm logic and the corresponding software platform kernel, directly eliminating the potential risks of physical process reproduction failure or unbalanced computational resource utilization caused by improper platform selection. Finally, based on the matched target simulation scheme, they execute simulation processing and output the target simulation result. This improves the adaptability between the circuit topology and the simulation scheme, ensuring that the modeling and simulation process can balance the simulation accuracy of electromagnetic transients with the computational efficiency of large-scale power grids, achieving accurate reproduction and verification of the physical behavior of complex power equipment.

[0091] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0092] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0093] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0094] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0095] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0096] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. The coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, or indirect coupling or communication connection between the apparatus or units, and may be electrical, mechanical, or other forms.

[0098] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0099] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0100] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0101] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A circuit structure simulation method, characterized in that, The method includes: Obtain simulation requirements and the circuit topology to be simulated; Based on the circuit topology, characteristic analysis is performed to obtain circuit characteristic information; Based on the simulation requirements information and the circuit characteristic information, a matching target simulation scheme is determined from a number of preset candidate simulation schemes. The circuit topology is simulated based on the target simulation scheme to obtain the target simulation results.

2. The circuit structure simulation method according to claim 1, characterized in that, The characteristic analysis based on the circuit topology to obtain circuit characteristic information includes: A controlled characteristic analysis is performed on the physical components contained in the circuit topology to obtain the transient response characteristics of the circuit topology; Electromagnetic induction correlation analysis is performed on the physical components contained in the circuit topology to obtain coupling dimension characteristic information; The circuit characteristic information is obtained based on the transient response characteristics and the coupling dimension characteristic information.

3. The method according to claim 1, characterized in that, The step of determining a matching target simulation scheme from a set of pre-set candidate simulation schemes based on the simulation requirement information and the circuit characteristic information includes: Obtain the numerical convergence accuracy requirements from the simulation requirements information; Based on the transient response characteristics of the circuit characteristics information, the transient response requirements are obtained; Based on the coupling dimension characteristic information of the circuit characteristic information, the coupling strength requirement is obtained; Based on the numerical convergence accuracy requirements, the transient response requirements, and the coupling strength requirements, a scheme matching process is performed to determine the target simulation scheme from several candidate simulation schemes.

4. The method according to claim 1, characterized in that, The simulation processing of the circuit topology based on the target simulation scheme to obtain the target simulation result includes: The external connection environment of the circuit topology is defined as the external equivalent region; The external equivalent region is simplified by modeling it as a controlled excitation source containing equivalent power supply elements, and the equivalent power supply elements are connected to the circuit topology. A preliminary simulation of the circuit topology is performed based on the external equivalent region to obtain deviation feedback data. Based on the deviation feedback data, parameter adjustment processing is performed on the equivalent power supply element, and the simulation processing is repeated until the simulation output characteristics meet the preset actual system characteristics, thereby obtaining the target simulation result.

5. The method according to claim 1, characterized in that, The circuit topology includes a current-limiting phase-shifting transformer, which comprises a series transformer and a magnetizing transformer. The simulation processing of the circuit topology based on the target simulation scheme yields the target simulation results, including: The series transformer is modeled as a three-winding transformer element to obtain a series transformer sub-model with a primary side delta connection and a secondary side three-phase independent connection. The excitation transformer is modeled as a single-phase transformer element to obtain an excitation transformer sub-model with a star connection on the secondary side. The midpoint of the primary winding of the series transformer sub-model is led out, and the lead-out line is connected to the primary side of the excitation transformer sub-model to obtain the coupling mapping model. The target simulation result is obtained by performing simulation processing based on the coupling mapping model.

6. The method according to claim 5, characterized in that, The current-limiting phase-shifting transformer also includes anti-parallel thyristors. The simulation processing based on the coupling mapping model yields the target simulation results, including: Obtain preset performance parameters of the switching components, and perform switching element modeling based on the performance parameters of the switching components to obtain the voltage regulation module; The anti-parallel thyristors are modeled as power electronic switching elements to obtain a current limiting control module; The voltage regulation module, the current limiting control module and the coupling mapping model are topologically integrated to obtain a refined model; The target simulation result is obtained by performing simulation processing based on the refined model.

7. The method according to claim 6, characterized in that, The current-limiting phase-shifting transformer further includes an impedance element, which includes a first interface and a second interface. The method further includes: The first interface of the impedance element is connected to the secondary side lead of the three-winding transformer element, and the second interface is grounded through the power electronic switching element. Based on a preset fault trigger signal, the conduction state of the impedance element in the refined model is adjusted by the power electronic switching element to perform simulation.

8. A circuit structure simulation device, characterized in that, The device includes: The data acquisition module is used to acquire simulation requirement information and the circuit topology to be simulated. The circuit characteristic analysis module is used to perform characteristic analysis based on the circuit topology to obtain circuit characteristic information. The simulation scheme matching module is used to determine the target simulation scheme from a number of preset candidate simulation schemes based on the simulation requirement information and the circuit characteristic information. The simulation processing module is used to perform simulation processing on the circuit topology based on the target simulation scheme to obtain the target simulation result.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the circuit structure simulation method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the circuit structure simulation method according to any one of claims 1 to 7.

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