Distributed multi-interference FA field test method, system, equipment and medium
By using a distributed simulation model and signal amplification device, combined with algorithms such as token bucket to simulate communication impairments, the problems of disconnection from the real environment and low efficiency in FA system testing were solved, and efficient and accurate verification of FA systems in complex communication environments was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-21
- Publication Date
- 2026-03-10
AI Technical Summary
Existing FA system testing methods cannot accurately reflect the actual performance of terminal devices in electromagnetic environments and interface protocol conversions, are difficult to simulate the complex communication interference of large-scale, networked FA systems, have low testing efficiency, and lack standardized support for multi-terminal parallel testing.
A distributed simulation model is constructed, which is divided into logical regions. Each region is processed by a distributed simulation node. The terminal is driven by a signal amplification device, and communication impairments are simulated through token bucket, delay queue and random algorithm. The terminal response is monitored in real time and a test report is generated.
It achieves high-fidelity simulation of large-scale complex power distribution networks, supports parallel testing of multiple terminals, accurately quantifies the impact of communication impairments, and improves the efficiency of robustness verification of FA systems in harsh environments.
Smart Images
Figure CN121633709A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power grid automation testing technology, specifically to a distributed multi-interference (FA) field testing method, system, equipment, and medium. Background Technology
[0002] With the deepening of smart grid construction, feeder automation (FA) systems, as a core technology for improving the reliability of power supply in distribution networks, are becoming increasingly important in field testing and verification. Currently, FA system testing methods can be mainly divided into two categories: one is pure software testing based on digital simulation platforms. Although this method can simulate complex power grid operating conditions and fault scenarios, it is detached from physical equipment and cannot truly reflect the actual performance of terminal devices in terms of electromagnetic environment, interface protocol conversion, etc., resulting in a certain deviation between the test results and field applications. The other is physical closed-loop testing of single or a few terminals using traditional testing instruments. Although this method can verify the basic functions of the terminals, it has problems such as limited test scale, inability to simulate multi-area coordinated actions, and difficulty in reproducing complex communication interference when facing large-scale, networked FA systems.
[0003] Existing technologies have revealed several shortcomings in addressing the aforementioned challenges: First, centralized simulation models struggle to support real-time calculations for large-scale power distribution networks and cannot effectively interface with geographically dispersed field terminals, leading to a disconnect between the test scenario and the real operating environment. Second, traditional testing methods offer limited simulation capabilities for communication link anomalies, often confined to simple continuity tests. They cannot accurately quantify the interactive impact of complex communication impairments such as bandwidth limitations, latency jitter, and random packet loss on the FA system's control strategies and protection logic, nor can they assess the system's robustness in real, harsh communication environments. Furthermore, their signal-driving capabilities are insufficient; the weak signals output by the simulator cannot directly drive field terminals, requiring complex interface conversions. Moreover, they lack standardized support for parallel testing of multiple terminals, resulting in low testing efficiency. Summary of the Invention
[0004] In view of the above-mentioned existing problems, the present invention provides a distributed multi-interference FA field test method, system, device and medium to solve the problems of the existing technology being disconnected from the test scenario and the real operating environment, unable to evaluate the robustness of the system in real harsh communication environment, lacking standardized support for multi-terminal parallel testing and low test efficiency.
[0005] To address the aforementioned technical issues, a distributed multi-interference FA field testing method is proposed, including: A simulation model of the power distribution network is constructed to simulate its operational behavior. Based on a predetermined regional division strategy, the simulation model is divided into different logical regions, with each region assigned to a distributed simulation node for distributed simulation. Each distributed simulation node is connected to the terminal under test (DUT) in the field, and the signal output from the simulation node is amplified into a drive signal using a signal amplification device. All connected devices are powered on and their functions are checked to verify the operational status and communication capabilities of the distributed simulation nodes and the DUT. The simulation model is compiled to generate executable code, which is then downloaded to the distributed simulation nodes. The configuration file describing the distributed topology is downloaded to the DUT to identify the network structure. Communication impairment simulation is configured in the test system, and abnormal conditions in the real network are simulated by adjusting the performance parameters of the communication links. Distributed real-time simulation is initiated, pre-set fault events are injected, and the protection and control responses of the DUT are monitored in real time. Test data is collected and analyzed, and a test report is generated.
[0006] As a preferred embodiment of the distributed multi-interference FA field testing method described in this invention, the simulation model for constructing the distribution network includes establishing a primary system model of the power grid using modeling software, and connecting photovoltaic and wind power distributed energy models and power electronic conversion devices. Virtual action logic algorithms are embedded in the model to simulate actual terminal protection and control behaviors. After compilation, the model generates project files that can be executed in a real-time simulator.
[0007] As a preferred embodiment of the distributed multi-interference FA field testing method of the present invention, the predetermined regional division strategy includes decomposing the simulation model into multiple interconnected sub-regions according to the power grid topology and equipment function distribution. Each sub-region is independently run by a distributed simulation node, and the distributed simulation nodes interact with each other and coordinate timing through a synchronization mechanism.
[0008] As a preferred embodiment of the distributed multi-interference FA field test method of the present invention, the signal amplification device includes receiving low-power analog signals from distributed simulation nodes and converting the signals into high-power electrical signals that meet the input specifications of the terminal under test through signal conversion and power enhancement processing. The signal conversion process maintains the signal ratio and waveform fidelity. The signal amplification device also includes multi-channel output capability, supports simultaneous connection to multiple terminals, and enables parallel testing.
[0009] As a preferred embodiment of the distributed multi-interference FA field testing method of the present invention, the signal amplification device further includes: amplifying the low-power small-signal analog quantity output by the real-time simulation unit proportionally through a power amplification module; adjusting the current between the collector and emitter by controlling the base input signal of the transistor during the amplification process; converting the 0-10V voltage control signal into a high-power analog signal with a 0-100V voltage and a 0-40A current to match the input range of the terminal under test.
[0010] As a preferred embodiment of the distributed multi-interference FA field testing method described in this invention, the performance parameter simulation includes: using a token bucket algorithm to simulate bandwidth constraints, controlling the data packet sending rate by setting the token generation rate and bucket capacity, and using a delay queue to simulate delay, intercepting data packets and forwarding them after a specified delay. A random algorithm is used to simulate packet loss, and data packets are randomly dropped according to a set packet loss rate. A base delay plus random variation is used to simulate jitter, and a random time offset is added to the base delay. The token bucket algorithm formula is expressed as: in, Let be the number of tokens at time t. For the capacity of the token bucket, The initial number of tokens. For token generation rate, For time intervals; The formula for simulating packet loss using a random algorithm is expressed as: in, This represents the probability of packet loss. The average queue length, This is the minimum threshold, i.e., the lower limit of the queue length. This is the maximum threshold, i.e., the upper limit of the queue length.
[0011] In a preferred embodiment of the distributed multi-interference FA field testing method described in this invention, the step of initiating distributed real-time simulation includes synchronizing multiple distributed simulation nodes through a synchronization device. The synchronous testing steps include setting up multiple simulation test units and connecting them to a synchronization device, starting the simulation and periodically recording the simulation time and key states, sending fault test events and recording the processing results, and verifying the synchronization by analyzing the recorded data. Electrical fault commands are injected into the power distribution network model. The actions of the terminal under test are observed through the graphical interface of the simulation test management platform. Key events and state changes during the fault handling process are recorded, and a test report is generated based on the recorded data.
[0012] The beneficial effects of this preferred technical solution are as follows: by adopting a series of configurable algorithm models such as token bucket, delay queue, random algorithm and baseline delay plus random variation, it realizes the refined and quantitative simulation of network damage factors, and can study the quantitative impact of single or multiple composite network damage factors on FA action performance, providing accurate data support for optimizing FA strategy and communication configuration.
[0013] As a preferred embodiment of the distributed multi-interference FA field test system of the present invention, it is characterized by comprising a real-time simulation module, a power amplification module, a network impairment simulation module, and a simulation test management module.
[0014] The real-time simulation module is used to establish the distribution network topology to be tested using power system modeling tools, and to connect photovoltaic and wind power distributed energy models as well as various power electronic conversion devices. After compilation, it generates project files that can be executed in the real-time simulator.
[0015] The power amplification module is used to convert the low-power small-signal analog quantity output by real-time simulation into a high-power electrical signal that can be received and responded to by the actual terminal device, and to adjust the current between the collector and emitter by controlling the base input signal of the transistor.
[0016] The network impairment simulation module is used to simulate bandwidth constraints by intercepting network data packets, using a token bucket algorithm to simulate transmission delay by using a delay queue, using a random algorithm to simulate data packet loss, and adding random variations to the baseline delay to simulate jitter.
[0017] The simulation test management module provides real-time status monitoring capabilities, monitors the network structure's operating status and modifies equipment parameters as required. It features a graphical interface display function, supports human-computer interaction and status curve viewing based on the system single-line diagram, integrates communication status management to view communication messages and network performance indicators, manages the status of hardware-in-the-loop devices, monitors equipment operating status, and adjusts configuration parameters.
[0018] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of a method for distributed multi-interference FA field testing.
[0019] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for a distributed multi-interference FA field test.
[0020] The beneficial effects of this invention are as follows: By constructing a high-fidelity simulation model that includes distributed energy resources and employing a regional partitioning strategy for distributed parallel computing, this invention achieves real-time and accurate simulation of large-scale complex power distribution networks; by using a signal amplification device to losslessly convert simulation signals into high-power signals that drive field terminals, it achieves efficient and seamless integration between the simulation model and physical equipment; by introducing communication impairment simulation based on algorithms such as token bucket, it achieves accurate quantitative reproduction of abnormal conditions in real networks; and by initiating distributed real-time simulation and injecting faults under a synchronization mechanism, it achieves comprehensive verification of the cross-regional collaborative control behavior of the FA system under multi-interference environments. Attached Figure Description
[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0022] Figure 1 The above is a flowchart of a distributed multi-interference FA field testing method provided in one embodiment of the present invention.
[0023] Figure 2 This is a schematic diagram of a distributed FA test model for a distributed multi-interference FA field test method provided in one embodiment of the present invention.
[0024] Figure 3 The present invention provides a system scheme flowchart for a distributed multi-interference FA field test system according to an embodiment of the present invention. Detailed Implementation
[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.
[0026] Example 1, referring to Figure 1 As an embodiment of the present invention, a distributed multi-interference FA field testing method is provided, comprising: S100: Construct a simulation model of the power distribution network, simulate the operation behavior of the power distribution network, and divide the simulation model into different logical regions based on a predetermined regional division strategy. Each region is assigned to a distributed simulation node for distributed simulation.
[0027] S200: Connect each distributed simulation node to the field terminal under test, and use a signal amplification device to amplify the signal output by the simulation node into a drive signal. Power on and perform functional checks on all connected devices to verify the operating status and communication capabilities of the distributed simulation nodes and the terminal under test.
[0028] S300: Compiles the simulation model to generate executable code and downloads it to the distributed simulation nodes. It downloads the configuration file describing the distributed topology to the terminal under test, identifies the network structure, configures communication impairment simulation in the test system, and simulates abnormal conditions in the real network by adjusting the performance parameters of the communication link.
[0029] S400: Initiate distributed real-time simulation, inject preset fault events, monitor the protection and control responses of the terminal under test in real time, collect and analyze test data, and generate test reports.
[0030] It should be noted that this invention achieves distributed real-time simulation of large-scale complex power distribution networks by constructing a refined simulation model that includes distributed energy resources and dividing regions based on topology strategies. It also establishes a highly reliable hardware-in-the-loop test environment that can simultaneously verify the performance of multiple real terminals under real operating conditions. Furthermore, by employing configurable algorithms such as token bucket algorithm, delay queue, and random packet loss to quantitatively simulate damage to three types of communication links, it achieves a comprehensive evaluation of the communication robustness of the FA system.
[0031] Example 2, refer to Figure 1 and Figure 2 This is a second embodiment of the present invention, which provides a distributed multi-interference FA field testing method, including: In this embodiment of the application, step S100, the construction of the simulation model of the power distribution network includes steps S101 to S103: S101: Establish a primary system model of the power grid using modeling software (RTDS). The model includes primary equipment such as switches, loads, and lines, and incorporates detailed models of photovoltaic and wind power distributed energy sources, as well as power electronic conversion devices (inverters and energy storage converters).
[0032] S102: Embed virtual FA action logic algorithm in the model to simulate actual terminal protection and control behavior. The distributed FA logic includes fault detection, fault isolation and power restoration. Fault detection includes detecting overcurrent signals on both sides of the fault; fault isolation includes tripping the switches on both sides of the fault while keeping the remaining switches in their original positions; power restoration includes closing the tie switch after detecting a single-sided loss of voltage.
[0033] S103: After compilation, the model generates a project file that can be executed in a real-time simulator, supporting high-fidelity simulation operation with a simulation step size of up to 50μs to approximate real working conditions.
[0034] In an optional implementation, in step S100, the construction of the power distribution network simulation model further includes creating a primary system model of the power grid through cloud modeling software. The model includes switches, loads, and lines, and integrates a virtualized distributed energy model and power electronic interface devices. The model is compiled into distributed simulation code through cloud and downloaded to edge computing nodes for execution. The simulation step size is adjusted to 100μs to reduce the computational load. The virtual FA logic is dynamically loaded through a cloud algorithm library to simulate terminal behavior.
[0035] In another optional implementation, in step S100, the simulation model for constructing the power distribution network further includes using a graphical modeling tool to decompose the power grid into standardized modules. Each module has predefined parameters and interfaces. When the model integrates distributed energy and power electronic equipment, it is quickly constructed through module combination. Virtual FA logic is embedded in the form of plug-ins to simulate fault handling and switching control. After the model is compiled, it is executed in parallel through distributed simulation nodes. The simulation step size is set to 80μs to balance accuracy and efficiency.
[0036] Furthermore, in this embodiment of the application, in step S100, the predetermined region division strategy includes steps S101 to S103: S101: Based on the physical connection relationship and equipment function distribution of the distribution network, the simulation model is decomposed into multiple interconnected sub-regions. In the dual-power grid with tie switches, G1, CB1, and FS1 are divided into region one, branches FS5, YS1, FS6 and photovoltaic devices are divided into region two, and FS3, YS3, LS, YS2, FS4, CB2, and GB2 are divided into region three.
[0037] S102: Each sub-region is independently responsible for simulation operation by a distributed simulation node (simulation test unit), and data consistency and timing coordination between regions are ensured by a synchronization device (global clock synchronization device).
[0038] S103: When partitioning, consider simulation load balancing and communication efficiency to optimize the overall performance of distributed simulation.
[0039] In an optional implementation, in step S100, the predetermined region division strategy further includes dividing the simulation model into sub-regions with strong electrical coupling by calculating the electrical impedance or power flow relationship between nodes. Each region is assigned to a distributed simulation node. When dividing, priority is given to voltage level and load density to ensure minimal interference between regions. The synchronization mechanism achieves data consistency through a timestamp protocol. The simulation step size can be adjusted to adapt to different electrical characteristics.
[0040] In another optional implementation, in step S100, the predetermined region division strategy may further include dividing the model into communication-intensive sub-regions according to the communication traffic and latency requirements between devices in the simulation model. Each region is processed by distributed simulation nodes. The division optimizes network bandwidth usage, reduces cross-region communication overhead, and synchronization is achieved through a message queue mechanism to ensure consistent event order.
[0041] In this embodiment of the application, in step S200, the signal amplification device includes steps S201 to S203: S201: The power amplifier unit receives the low-power small-signal analog signal (0-10V voltage signal) output by the real-time simulation unit. The control signal is input to the base of the transistor in the power amplifier area to adjust the current between the collector and emitter, and the signal is amplified proportionally to output a high-power analog signal with a voltage of 0-100V and a current of 0-40A.
[0042] S202: By integrating a high-precision IO interface board, it performs digital-to-analog conversion, linearly converting the digital quantity -32768~+32768 to a -10~+10V signal, and then amplifies and drives the terminal device.
[0043] S203: Multi-channel output supports simultaneous connection of multiple terminals for parallel testing.
[0044] Furthermore, in step S200, the power-on and function check includes steps S211-S213: S211: Power on all distributed simulation nodes and terminals under test.
[0045] S212: Check the equipment operating status and communication link connectivity.
[0046] S213: Verify the accuracy of the power amplifier unit's signal output and confirm that the synchronization device is working properly.
[0047] In this embodiment of the application, the performance parameter simulation in step S300 includes steps S301 to S304: S301: The network impairment simulation unit intercepts the network data packets flowing through it, simulates bandwidth constraints through the token bucket algorithm, and sets the token generation rate and bucket capacity to control the data packet sending rate. The token bucket algorithm formula is expressed as: in, Let be the number of tokens at time t. For the capacity of the token bucket, The initial number of tokens. For token generation rate, For time intervals.
[0048] S302: Simulates delay by using a delay queue, intercepting data packets and then delaying them for a specified time (50ms) before forwarding them.
[0049] S303: Simulate packet loss using a random algorithm, and generate random numbers based on a set packet loss rate (5%) to determine whether to discard data packets; The formula for simulating packet loss using a random algorithm is expressed as: in, This represents the probability of packet loss. The average queue length, This is the minimum threshold, i.e., the lower limit of the queue length. This is the maximum threshold, i.e., the upper limit of the queue length.
[0050] S304: Simulate jitter by adding random variation to the baseline delay (50ms), with a random offset (±10ms) added to the baseline delay (50ms).
[0051] In an optional implementation, in step S300, the performance parameter simulation further includes controlling bandwidth through a leaky bucket algorithm, leaking tokens at a fixed rate to limit the data flow, using a priority queue for latency simulation, adjusting the delay time according to the data packet type, employing a deterministic model for packet loss simulation, triggering packet loss based on a queue length threshold, and achieving periodic changes through sine wave superposition of delay.
[0052] In another optional implementation, in step S300, the performance parameter simulation may further include dynamically adjusting bandwidth, latency, packet loss, and jitter parameters by recording real network traffic patterns; using machine learning algorithms to predict network conditions during simulation and applying them to communication links; and combining packet loss simulation with network congestion models to adjust probabilities based on real-time load.
[0053] In step S400, starting the distributed real-time simulation includes S401~S403: S401: Multiple simulation test units are implemented through a synchronization device, global logic clock consistency is maintained, synchronization messages ensure data consistency, simulation events are processed in the correct timing sequence, and the ability to resist communication interference is verified.
[0054] S402: Synchronous verification includes setting up multiple simulation test units and connecting them to a synchronization device, starting the simulation and running it for a specific time period.
[0055] S403: Periodically record simulation time and critical states (records every second), inject fault test events and record processing results, stop simulation and analyze data consistency.
[0056] Furthermore, in step S400, the real-time monitoring of the protection and control response of the terminal under test includes injecting electrical fault commands into the power distribution network model, observing the terminal's actions through the management platform interface, recording key events during the fault handling process, and monitoring changes in communication link performance indicators.
[0057] It should be noted that the simulation test management platform includes: scenario case management, which supports preset implementation cases of various FA algorithms and flexible configuration of network structure; real-time status monitoring, which supports monitoring of network operation status and real-time changes to equipment parameters; graphical interface display, which supports human-machine interaction based on system single-line diagrams and viewing of status curves; communication status management, which supports viewing communication messages and network performance indicators; and hardware-in-the-loop device status monitoring, which manages hardware-in-the-loop devices and adjusts configuration parameters.
[0058] Furthermore, in step S400, generating the test report includes collecting action response data from each terminal, analyzing system performance under communication impairment conditions, evaluating the adaptability of the FA algorithm in different scenarios, and generating a test report that includes terminal action logic verification results, communication anti-interference performance evaluation, system-level performance analysis data, and test scenario integrity evaluation.
[0059] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
[0060] Example 3, referring to Figure 3 This is the third embodiment of the present invention, which provides a distributed multi-interference FA field test system, including a real-time simulation module, a power amplification module, a network impairment simulation module, and a simulation test management module.
[0061] The real-time simulation module is used to establish the distribution network topology to be tested using power system modeling tools, and to connect photovoltaic and wind power distributed energy models as well as various power electronic conversion devices. After compilation, it generates project files that can be executed in the real-time simulator.
[0062] The power amplification module is used to convert the low-power small-signal analog quantity output by real-time simulation into a high-power electrical signal that can be received and responded to by the actual terminal device, and to adjust the current between the collector and emitter by controlling the base input signal of the transistor.
[0063] The network impairment simulation module is used to simulate bandwidth constraints by intercepting network data packets, using a token bucket algorithm to simulate transmission delay by using a delay queue, using a random algorithm to simulate data packet loss, and adding random variations to the baseline delay to simulate jitter.
[0064] The simulation test management module provides real-time status monitoring capabilities, monitors the network structure's operating status and modifies equipment parameters as required. It features a graphical interface display function, supports human-computer interaction and status curve viewing based on the system single-line diagram, integrates communication status management to view communication messages and network performance indicators, manages the status of hardware-in-the-loop devices, monitors equipment operating status, and adjusts configuration parameters.
[0065] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
[0066] Example 4, the fourth embodiment of the present invention, differs from the previous three embodiments in that: If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion 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 several 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 described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0068] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0069] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
Claims
1. A distributed multi-interference FA field test method, characterized in that: The simulation model of the power distribution network is constructed to simulate the operation behavior of the power distribution network, and the simulation model is divided into different logical regions based on a predetermined region division strategy, each region is assigned to a distributed simulation node for distributed simulation. Each distributed simulation node is connected with a field terminal to be tested, and a signal amplification device is used to amplify the signal output by the simulation node into a driving signal, and all connected devices are powered on and functionally checked to verify the operation state and communication capability of the distributed simulation node and the terminal to be tested. The simulation model is compiled to generate executable code, which is downloaded into the distributed simulation node, and a configuration file describing the distributed topology is downloaded to the terminal to be tested to identify the network structure, configure communication impairment simulation in the test system, and simulate abnormal conditions in the real network by adjusting the communication link performance parameters. The distributed real-time simulation is started, the preset fault event is injected, the protection and control response of the terminal to be tested is monitored in real time, the test data is collected and analyzed, and the test report is generated. The simulation model of the power distribution network is constructed to simulate the operation behavior of the power distribution network, and the simulation model is divided into different logical regions based on a predetermined region division strategy, each region is assigned to a distributed simulation node for distributed simulation.
2. A distributed multi-jam FA field test method as claimed in claim 1, wherein: The simulation model of the power distribution network is constructed to simulate the operation behavior of the power distribution network, and the simulation model is divided into different logical regions based on a predetermined region division strategy, each region is assigned to a distributed simulation node for distributed simulation. The signal amplification device includes receiving a low-power analog signal from the distributed simulation node, converting the signal to a high-power electrical signal that meets the input specifications of the terminal to be tested through signal conversion and power boost processing; 3. A distributed multi-jam FA field test method as claimed in claim 2, wherein: The signal conversion process maintains the proportionality of the signal and the waveform fidelity, and the signal amplification device also includes multi-channel output capability to support simultaneous connection of multiple terminals and parallel testing.
4. A distributed multi-jam FA field test method as claimed in claim 3, wherein: The signal amplification device also includes amplifying a low-power small signal analog output by the real-time simulation unit by a power amplification module in proportion, and the amplification process adjusts the current between the collector and the emitter by controlling the transistor base input signal, converts the 0-10V voltage control signal to a 0-100V voltage and a 0-40A current high-power analog signal, and matches the input range of the terminal to be tested. The performance parameter simulation includes simulating bandwidth constraints using a token bucket algorithm, controlling the data packet sending rate by setting the token generation rate and bucket capacity, simulating delay by intercepting data packets and forwarding them after a specified delay; 5. A distributed multi-jam FA field test method as claimed in claim 4, wherein: Simulate packet loss using a random algorithm, randomly discard data packets according to the set packet loss rate, and simulate jitter by adding a random time offset to the baseline delay; 6. A distributed multi-jam FA field test method as claimed in claim 5, wherein: The formula of the token bucket algorithm is: The formula of the random algorithm for simulating packet loss is: The distributed real-time simulation includes synchronizing multiple distributed simulation nodes through a synchronization device, wherein, is the number of tokens at time t, is the capacity of the token bucket, is the number of tokens at the initial moment, is the token generation rate, is the time interval; wherein, is the packet loss probability of the data packets, is the average queue length, is the minimum threshold, i.e. the lower limit value of the queue length, is the maximum threshold, i.e. the upper limit value of the queue length.
7. A distributed multi-jam FA field test method as claimed in claim 6, wherein: The synchronization test step includes setting multiple simulation test units and connecting a synchronization device, recording simulation time and key states periodically after starting simulation, sending a fault test event and recording processing results, and verifying synchronization by analyzing recorded data; An electrical fault command is injected into the power distribution network model, the action of the terminal under test is observed through a graphical interface of the simulation test management platform, key events and state changes in the fault processing process are recorded, and a test report is generated based on the recorded data.
8. A distributed multi-jam FA field test system, applying a distributed multi-jam FA field test method as claimed in any one of claims 1 to 7, characterized in that, The simulation test management platform comprises a real-time simulation module, a power amplification module, a network damage simulation module, and a simulation test management module. The real-time simulation module is configured to establish a topology structure of a power distribution network to be tested by using a power system modeling tool, access photovoltaic, wind power distributed energy models, and various power electronic conversion devices, and compile to generate a project file executable in a real-time simulator. The power amplification module is configured to convert a low-power small-signal analog quantity output by the real-time simulation into a high-power electrical signal that can be received and responded by an actual terminal device through power amplification, and adjust a current between a collector and an emitter through a control transistor base input signal. The network damage simulation module is configured to simulate bandwidth constraints by using a token bucket algorithm, simulate transmission time delay by using a delay queue, simulate data packet loss by using a random algorithm, and simulate jitter by adding a random variation to a reference delay. The simulation test management module is configured to provide real-time state monitoring capability, monitor a network frame operation state and change device parameters according to requirements, have a graphical interface display function, support human-computer interaction and state curve viewing based on a system single-line diagram, integrate communication state management to view communication messages and network performance indexes, and manage hardware-in-the-loop device states, monitor device operation states, and adjust configuration parameters. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the distributed multi-interference FA field test method in any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the distributed multi-interference FA field test method in any one of claims 1 to 7.