Power distribution network master station feeder automation function detection method and system

Abstract

The embodiment of the invention provides a power distribution network master station feeder automation function detection method and system, and belongs to the field of power distribution network master station feeder automation function detection. The power distribution network master station feeder automation function detection method comprises the following steps: establishing a function detection simulation platform, and establishing a power distribution network detection model based on the function detection simulation platform; power distribution network abnormity is simulated, corresponding three-remote information is generated, and a power distribution network recovery scheme is generated based on the three-remote information; inputting data in the power distribution network recovery scheme into the power distribution network detection model to verify the effect of the power distribution network recovery scheme on feeder automation fault processing; and generating a power distribution network master station feeder automation function detection report. By constructing a high-simulation power distribution network fault detection environment, system-level closed-loop verification of a feeder automation function is realized, a complex fault scene can be comprehensively simulated, and the accuracy and efficiency of fault positioning, isolation and power supply recovery are improved through multi-mode collaborative testing.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic function detection of feeder lines at a distribution network master station, and in particular to a method and system for automatic function detection of feeder lines at a distribution network master station. Background Art

[0002] As the end of the power supply chain, the distribution network is an important energy carrier directly facing the society and customers, and is also an important foundation and key component of a strong smart grid. With the development of power system modernization, improving power supply reliability and achieving rapid self-healing of faults have become one of the core goals of distribution network construction.

[0003] The inventors of this application discovered in the process of implementing the present invention that the existing detection method mainly relies on the three remote information (telemetry, telesignaling, and remote control) generated by the master station or terminal simulator to judge the execution result of the master station. This method belongs to the single-unit detection at the device level and is difficult to fully reflect the system performance under actual operating conditions. In addition, traditional detection methods are usually unable to simulate complex and diverse fault types, especially concurrent faults, communication interruptions, switch refusal or malfunction under abnormal conditions, resulting in a large deviation between the detection results and the actual situation. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for detecting feeder automation functions of a distribution network master station, so as to ensure that feeder branches of distribution network master stations that have passed the detection are correctly and reliably put into operation feeder automation functions.

[0005] In the first aspect, in order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for detecting the feeder automation function of a distribution network master station, comprising establishing a function detection simulation platform, and establishing a distribution network detection model based on the function detection simulation platform; based on the distribution network detection model, simulating distribution network abnormalities and generating corresponding three-remote information, and generating a distribution network recovery plan based on the three-remote information; inputting data in the distribution network recovery plan into the distribution network detection model to verify the effect of the distribution network recovery plan on feeder automation fault handling; generating a distribution network master station feeder automation function detection report based on the verified feeder automation fault handling effect, and completing the distribution network master station feeder automation function detection.

[0006] Optionally, simulating distribution network abnormalities and generating corresponding three-remote control information includes: setting physical parameters of the power grid lines according to actual power grid topology parameters, and calibrating telemetry and telesignaling addresses; after the calibration is completed, inputting the data used for simulation into the distribution network detection model to simulate the first fault under normal operating conditions and / or the second fault under abnormal operating conditions of the line; generating corresponding three-remote control information according to the first fault and / or the second fault, and converting the generated three-remote control information into 104 protocol messages.

[0007] Optionally, generating a distribution network recovery plan based on the three remote control information includes: combining the three remote control information with the grid topology to determine the boundary of the fault section, and determining the minimized isolation range through the switch position information; performing abnormal lockout verification and transfer path feasibility verification based on the fault section boundary and the minimized isolation range; calculating the load margin of the first transfer path in real time according to the three remote control information and the grid topology parameters, and determining whether the load margin of the first transfer path is less than or equal to a first set threshold; if the load margin of the first transfer path is greater than or equal to the first set threshold, generating a distribution network recovery plan, and if the load margin of the first transfer path is less than the first set threshold, switching the backup transfer path and recalculating the load margin of the second transfer path after switching.

[0008] Optionally, verifying the effect of the distribution network recovery plan on feeder automation fault handling includes: using the distribution network detection model to calculate the transfer load rate of the transfer path or the backup transfer path in real time, and determining whether the transfer load rate is less than or equal to a second set threshold; if the transfer load rate is less than or equal to the second set threshold, performing a topology reconstruction check, otherwise switching the circuit path or manually cutting the load; when performing the topology reconstruction check, calculating the first reconstructed load margin; if the first reconstructed load margin is greater than the second set threshold, recording the recovery success and generating a detection report; if the first reconstructed load margin is less than or equal to the second set threshold, switching the backup transfer path or remotely disconnecting the non-critical branch switch, and recalculating the second reconstructed load margin; if the second reconstructed load margin is still less than the second set threshold, it is determined that the distribution network recovery plan does not meet the safety requirements.

[0009] Optionally, verifying the effect of the distribution network restoration solution on feeder automation fault handling also includes: If the feeder automation fault location section or topology coloring is inconsistent with the fault point position of the distribution network detection model, the feeder automation fault location is judged to have failed; if the feeder automation fault isolation plan is missing or the fault isolation area is expanded, the feeder automation fault isolation is judged to have failed; if the power supply restoration plan is missing or the restoration process causes other lines, main transformers and other equipment to overload, the power supply restoration is judged to have failed; if the fully automatic remote control plan has a feeder switch with remote control conditions and the remote remote control closing / opening execution error, the feeder automation execution fails; if the minimum power outage plan does not have a feeder switch with remote control conditions and the local manual closing / opening execution error, the feeder automation execution fails; if the above results are all correct, it is determined that the feeder automation function of the distribution network master station is correct and complete.

[0010] Optionally, the first fault is a feeder automation fault under normal operating conditions of the feeder branch; the second fault is a feeder automation fault under abnormal operating conditions of the feeder branch.

[0011] Optionally, the first fault includes: circuit breaker outlet fault, busbar fault, cable fault, load side fault, and line end fault; the second fault includes: switch refusal to operate, switch malfunction, communication interruption during feeder automation processing, concurrent faults, line or equipment maintenance, switch response delay, receipt of a total fault signal from the substation during feeder automation processing, predicted line overload, and commissioning / exit of a single reclosing protection of the power point switch.

[0012] Optionally, a distribution network master station feeder automation function test report is generated including distribution automation test, fault inversion test and load transfer test.

[0013] Optionally, distribution automation detection includes fault handling function configuration and switching mechanism, fault handling function, fault handling safety constraint test and processing control method; fault inversion detection includes fault initiation and processing, fault process information; load transfer detection includes load information statistics, transfer strategy analysis, transfer strategy simulation and transfer strategy execution.

[0014] On the other hand, the present invention provides a distribution network master station feeder automation function detection system, which is used to implement a power grid master station feeder automation function detection method. The distribution network master station feeder automation function detection system includes: a model construction module, which is used to establish a function detection simulation platform, and establish a distribution network detection model based on the function detection simulation platform; a simulation module, which is used to simulate distribution network anomalies and generate corresponding three-remote information based on the distribution network detection model, and generate a distribution network recovery plan based on the three-remote information; an effect verification module, which is used to input data in the distribution network recovery plan into the distribution network detection model to verify the effect of the distribution network recovery plan on feeder automation fault processing; a report generation module, which is used to generate a distribution network master station feeder automation function detection report according to the verified feeder automation fault processing effect, and complete the distribution network master station feeder automation function detection.

[0015] The present invention realizes comprehensive verification and optimization of feeder automation fault handling, can simulate a variety of distribution network abnormal conditions, and generate three-remote information (telemetry, telesignaling, and remote control) consistent with the actual operating conditions, thereby more realistically reflecting the operating characteristics of the distribution network under fault conditions; this highly simulated test environment effectively makes up for the shortcomings of traditional single-unit detection and provides reliable technical support for system-level joint detection. The distribution network recovery plan generated based on the three-remote information can be dynamically input into the distribution network detection model for verification, which can not only evaluate the feasibility and effectiveness of the recovery plan, but also avoid equipment overload or power supply recovery failure caused by unreasonable plans; it realizes the full process closed-loop detection from fault location, fault isolation to power supply restoration in non-fault areas, and improves the self-healing ability and power supply reliability of the distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a flow chart for the detection of feeder automation functions at the main station of the distribution network.

[0017] Figure 2 This is a diagram of the feeder automation function detection equipment for the main station of the distribution network. DETAILED DESCRIPTION

[0018] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0019] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations. In the embodiments of this application, some existing solutions in the industry such as certain software, components, and models may be mentioned, which should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0020] Example 1 Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for detecting the automatic function of feeder lines in a distribution network master station, comprising: S100: Establish a function detection simulation platform, and establish a distribution network detection model based on the function detection simulation platform.

[0021] Specifically, a RTDS (Real-Time Digital Simulator) based on the 104 communication protocol was constructed, and the distribution network primary system module, fault control module, line protection module, switch control module and data transmission module were built in the RTDS.

[0022] Furthermore, in RTDS, the distribution network primary system module is used to simulate the actual distribution line operating conditions, including line parameters, system parameters and terminal protection settings.

[0023] The fault control module is used to simulate a short circuit fault at any position of the line, and has the function of simulating metallic grounding faults, single-phase and interphase faults grounded by resistance.

[0024] The line protection module is used to simulate the distribution terminal protection functions, such as reclosing function and overcurrent protection function, and the line protection module can be set according to the terminal protection setting.

[0025] The switch control module is used to simulate the control functions of actual circuit breakers, section switches and tie switches, and supports manual closing / opening, master station remote control closing / opening, protection tripping and reclosing functions.

[0026] The data transmission module is equipped with a GTNET-IEC104 communication card. By configuring the master station address, port number and point table file based on the 104 protocol format in the GTNET-IEC104 communication card, it has the conditions for communicating with the master station of the distribution automation system and can exchange telemetry, telesignaling and remote control information with the master station in real time.

[0027] S200: Based on the distribution network detection model, simulate the distribution network abnormality and generate corresponding three-remote information, and generate a distribution network restoration plan based on the three-remote information.

[0028] Specifically, multiple types of faults are triggered in the distribution network detection model, including a first fault and a second fault. The first fault is a feeder automation fault under normal working conditions of the feeder branch; the second fault is a feeder automation fault under abnormal working conditions of the feeder branch.

[0029] Preferably, feeder automation faults under normal operating conditions of feeder branches include circuit breaker outlet faults, busbar faults, cable line faults, load side faults, and line end faults, etc. Feeder automation faults under abnormal operating conditions of feeder branches include 9 typical fault scenarios: switch refusal to operate, switch malfunction, communication interruption during feeder automation processing, concurrent faults, line or equipment maintenance, switch response delay, receipt of a total fault signal from a substation during feeder automation processing, predicted line overload, and power point switch commissioning / exiting primary reclosing protection.

[0030] Furthermore, simulating the abnormality of the distribution network and generating corresponding three-remote information includes: setting the physical parameters of the power grid line according to the actual power grid topology parameters, and calibrating the telemetry and telesignaling addresses; after the calibration is completed, inputting the data used for simulation into the distribution network detection model to simulate the first fault under normal working conditions and / or the second fault under abnormal working conditions of the line; generating corresponding three-remote information according to the first fault and / or the second fault, and converting the generated three-remote information into 104 protocol messages.

[0031] Furthermore, generating a distribution network recovery plan based on the three remote information includes: combining the three remote information with the grid topology to determine the fault section boundary, and determining the minimized isolation range through the switch position information; performing abnormal lockout verification and transfer path feasibility verification based on the fault section boundary and the minimized isolation range.

[0032] Furthermore, the load margin of the first transfer path is calculated in real time according to the three remote information and the grid topology parameters, and it is determined whether the load margin of the first transfer path is less than or equal to the first set threshold value. ; If the load margin of the first transfer supply path is greater than or equal to the first set threshold, a distribution network recovery plan is generated. If the load margin of the first transfer supply path is less than the first set threshold, the backup transfer supply path is switched and the load margin of the second transfer supply path after switching is recalculated.

[0033] Furthermore, the three remote information is used to perform FA (Feeder Automation) logic judgment and generate the following technical solutions: Fault identification area: Automatically locate the faulty section based on the feeder topology and fault-related information, and display it in a striking manner, such as special color or flashing.

[0034] Fault isolation plan: The isolation plan is determined based on the fault location results and switch status. The fault isolation plan can be executed automatically or after confirmation by the dispatcher.

[0035] Power supply restoration plan: When there are multiple backup power sources, the restoration area is split and power supply is restored according to the load capacity of each power source point to avoid overload of other lines, main transformers and other equipment during the restoration process.

[0036] Furthermore, the functional detection simulation platform records the entire distribution network fault handling process in real time, including real-time steady-state data before and after the distribution network fault, protection device action information, line telemetry and telesignaling information, system judgment conclusions, and remote control output and position change information of each circuit breaker and load switch after execution.

[0037] S300: Inputting data in the distribution network restoration plan into the distribution network detection model to verify the effect of the distribution network restoration plan on feeder automation fault handling.

[0038] Specifically, the data in the distribution network restoration plan is input into the distribution network detection model to verify the effect of the distribution network restoration plan on feeder automation fault handling.

[0039] Furthermore, the distribution network detection model is used to calculate the transfer load rate of the transfer path or the backup transfer path in real time, and it is determined whether the transfer load rate is less than or equal to the second set threshold value. If the transfer load rate is less than or equal to the set threshold, a topology reconstruction check is performed, otherwise the circuit path is switched or the load is manually cut.

[0040] Preferably, when performing topology reconstruction verification, the first reconstruction load margin is calculated. If the first reconstruction load margin is greater than the set threshold, the recovery success is recorded and a detection report is generated; if the first reconstruction load margin is less than or equal to the set threshold, the backup transfer path is switched or the non-critical branch switch is remotely disconnected, and the second reconstruction load margin is recalculated; if the second reconstruction load margin is still less than the set threshold, it is determined that the distribution network recovery plan does not meet the safety requirements.

[0041] Further verification of the effectiveness of the distribution network restoration solution for feeder automation fault handling also includes: Fault location verification: If the feeder automation fault location section or topology coloring is inconsistent with the fault point location of the distribution network detection model, the feeder automation fault location is judged to have failed.

[0042] Fault isolation verification: If the feeder automation fault isolation solution is missing or the fault isolation area is enlarged, the feeder automation fault isolation is deemed to have failed.

[0043] Power restoration verification: If the power restoration plan is missing or the restoration process causes other lines, main transformers and other equipment to overload, the power restoration will be deemed to have failed.

[0044] Verification of fully automatic remote control scheme: If the fully automatic remote control scheme has a feeder switch with remote control conditions, and the remote remote control closing / opening execution error occurs, the feeder automation execution fails; Minimum power outage plan verification: If the minimum power outage plan does not meet the remote control conditions and the on-site manual closing / opening of the feeder switch is executed incorrectly, the feeder automation execution is judged to have failed.

[0045] If the results of the above verifications are all correct, it is determined that the feeder automation function of the distribution network master station is correct and complete.

[0046] Furthermore, the functional detection simulation platform judges the execution results of each terminal action according to the minimum power outage plan and the fully automatic remote control plan to ensure the correctness and completeness of the recovery plan. In the actual test, the fully automatic remote control plan, the semi-automatic remote control plan and the minimum power outage plan were used to verify the effect of feeder automation fault handling for distribution network fault scenarios under different working conditions.

[0047] Preferably, information on the entire distribution network fault handling process is recorded, including fault judgment information, fault isolation information, power supply restoration information, and the overall fault handling time from fault identification-fault isolation-power supply restoration to non-fault area and the execution status of each circuit breaker and load switch on the line where the fault is located.

[0048] S400: Generate a distribution network master station feeder automation function test report based on the verified feeder automation fault processing effect, and complete the distribution network master station feeder automation function test.

[0049] Specifically, according to the execution of fault location, fault isolation and power supply restoration, a distribution network master station feeder automation function test report is generated. The content of the distribution network master station feeder automation function test report covers whether the various indicators required in the distribution automation system master station feeder automation function test outline meet the standards. The distribution automation system master station feeder automation function test outline is shown in Table 1.

[0050] Table 1 Distribution automation system master station feeder automation function test outline

[0051] Furthermore, the generation of the distribution network master station feeder automation function test report includes distribution automation test, fault reversal test and load transfer test. Distribution automation test includes fault handling function configuration and input and output mechanism, fault handling function, fault handling safety constraint test and handling control method; fault reversal test includes fault start and handling, fault process information; load transfer test includes load information statistics, transfer strategy analysis, transfer strategy simulation and transfer strategy execution.

[0052] Preferably, the main contents of the distribution network master station feeder automation function test report include the category of test items, test requirements, detailed records of the fault handling process and fault inversion analysis. For example: whether the fault handling function configuration and the input and output mechanism support reasonable configuration based on a single feeder or feeder liaison group; whether it supports concurrent processing of multiple faults; whether it has fault-tolerant processing capabilities in the case of incomplete information; whether it can automatically design a power restoration plan for non-faulty sections to avoid overloading other lines, main transformers and other equipment during the power restoration process; whether it can flexibly set fault handling lockout conditions to avoid the influence of human operations such as protection debugging and equipment maintenance.

[0053] Preferably, the fault handling process is recorded in detail, for example: real-time steady-state data before and after the fault, protection device action information, line telemetry and telesignaling information, fault type and fault location judgment conclusion, and remote control output and position change information of each circuit breaker and load switch after execution.

[0054] Preferably, the fault inversion is analyzed, and all real-time steady-state data within a certain time range is stored in the form of messages through the saved data sections to reproduce the entire fault handling process. For example: the entire process of fault identification, location, isolation and power restoration is displayed through fault initiation and processing; combined with the fault recording data sent by the distribution terminal, the waveform corresponding to the fault signal of the current fault inversion is displayed in association during the fault inversion process; the data section after the main station information is collected before and after the fault is provided, including the signal status of the protection device, the action status of the line circuit breaker and load switch, the action time, etc.

[0055] Preferably, the distribution network master station feeder automation function test report is presented in a combination of text and graphics to intuitively display the entire fault handling process.

[0056] Furthermore, this embodiment also provides a distribution network master station feeder automation function detection system, including: A model building module is used to establish a function detection simulation platform and to establish a distribution network detection model based on the function detection simulation platform; The simulation module is used to simulate the abnormality of the distribution network and generate the corresponding three-remote information based on the distribution network detection model, and generate the distribution network restoration plan based on the three-remote information; An effect verification module is used to input the data in the distribution network restoration plan into the distribution network detection model to verify the effect of the distribution network restoration plan on feeder automation fault processing; The report generation module is used to generate a distribution network master station feeder automation function test report based on the verified feeder automation fault handling effect, and complete the distribution network master station feeder automation function test.

[0057] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0058] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

[0059] Example 2 Reference Figure 1 and Figure 2 , which is the second embodiment of the present invention, provides a method for detecting the feeder automation function of a distribution network master station. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0060] Specifically, the distribution network master station feeder automation function detection equipment is deployed. The distribution network master station feeder automation function detection equipment is as follows: Figure 2 As shown in the figure, it includes a digital simulation workstation, RTDS, 104 protocol communication card, switch, distribution network main server and master station human-machine interface display. According to the topological diagram of the 10kV line to be tested at the master station, the 10kV line distribution network detection model of the master station to be tested is built in RTDS; the three-telemetry information point number coding table of DTU (Data Transfer Unit) and FTU (Feeder Terminal Unit) is shown in Table 2.

[0061] Table 2 Three remote information point number coding table

[0062] Furthermore, taking the 10kV feeder with three-terminal power supply interconnection in the actual distribution network as an example, the feeder automation function of the distribution network master station is tested. Among them, Xingfu Transformer 927 Xingzhao Line and Xingfu Transformer 918 Xingke Line are connected at the 4516 switch, and the 4516 switch is a normally open switch; Xingfu Transformer 927 Xingzhao Line and Rare Earth Transformer 913 Xike Line are connected at the 4526 switch, and the 4526 switch is a normally open switch. Xingfu Transformer 918 Xingke Line and Rare Earth Transformer 913 Xike Line are not considered to be interconnected.

[0063] Furthermore, the FA logic test of the distribution network master station uses the distribution network line topology diagram. During the test, 7 faults are set in the distribution network detection model, K1 to K7 fault points, to detect the centralized FA action logic of the master station.

[0064] Specifically, the test is set to have a fault in the normal working condition of the distribution network line, simulating the following 9 faults: Abnormality 1: switch refuses to operate; abnormality 2: switch malfunctions; abnormality 3: communication interruption during FA processing; abnormality 4: concurrent faults; abnormality 5: line or equipment maintenance; abnormality 6: switch response delay; abnormality 7: receiving the substation "general fault signal" during FA processing; abnormality 8: predicted line overload; abnormality 9: the power point switch is put into operation / exited from the primary reclosing protection.

[0065] Specifically, take the case where a K2 short circuit fault is triggered under normal operating conditions of the distribution network line as an example: When the master station adopts the fully automatic remote control scheme, the waiting signal time for FA fault processing is 15s, that is, FA fault identification is performed after a delay of 15s after the fault. Simulating a metallic ABN phase-to-phase permanent short circuit fault at point K2, the fault isolation is completed and power supply is restored to the non-fault area after 23.237s.

[0066] Furthermore, after the master station completes the fault automation execution, the human-machine interface gives a fault information record. From the fault judgment criteria, fault isolation, power supply recovery related protection and action time in the fault information record, it is concluded that the fault processing time of the master station is 23s.

[0067] Furthermore, the fault information record push map can intuitively display the faulty line (the push map mode is based on the feeder diagram) and the faulty ring network cabinet (the push map mode is based on the ring network diagram). The fault information record push map also displays the switch execution results: 4515 section switch is open, 4526 contact switch is closed.

[0068] In summary, it is judged that the fault handling of the master station's fully automatic remote control solution is correct and the fault information is complete.

[0069] When the master station adopts a semi-automatic remote control solution, the FA processing interface pops up after a delay of 10 seconds after the fault. After the operator confirms the fault isolation plan and power supply restoration plan, selects the semi-automatic execution mode, and enters the dispatcher's login password, the master station automatically remotely controls the fault isolation and power supply restoration operations in the non-fault area.

[0070] Furthermore, in the fault isolation solution, the switch execution status can be displayed in real time, with abnormal switch alarm information, giving a prompt that the load switch is uncontrollable, expanding the isolation range downstream, and giving the power outage load range. In the power supply restoration solution, the switch execution status can be displayed in real time, and the total power capacity and remaining capacity can be displayed at the same time, with load information statistics function.

[0071] Furthermore, the distribution automation fault handling process master station sequentially reproduces the entire process before the fault, after the fault, fault identification and location, fault isolation, and power supply restoration in the non-fault section in the form of diagrams and information prompts.

[0072] In summary, it is judged that the fault handling of the semi-automatic remote control scheme of the master station is correct and the fault information is complete.

[0073] When the master station adopts the minimum power outage plan, it does not consider whether the switch has the remote control function. The fault isolation plan determines that the switch closest to the K2 fault interval is the minimum power outage isolation switch, that is, the isolation of the Xingfu transformer ring main unit 01 incoming switch (DTU-01). The power supply restoration plan provides two power supply restoration plans based on the DTU-01 switch opening information: the first restoration plan is to close the 4516 switch, and the power is supplied by the 918 Xingke line; the second restoration plan is to close the 4526 switch, and the power is supplied by the 913 Xike line.

[0074] It can be seen from the above scheme that this scheme can highly restore the actual distribution network operation scenario, ensure that the test environment is consistent with the actual operation environment, and thus verify the actual performance of the master station system. Specifically, when simulating a metallic ABN phase-to-phase permanent short circuit fault at the K2 fault point, the distribution network detection model can generate three-remote information (telemetry, telesignaling, and remote control) that is consistent with the actual operating conditions. After the master station equipment receives the three-remote information through the 104 protocol, it can accurately determine the fault location and complete fault isolation and power restoration in non-fault areas under the fully automatic remote control scheme, semi-automatic remote control scheme, and minimum power outage scheme.

[0075] Furthermore, this solution realizes the closed-loop detection of the entire process from fault identification, isolation to power restoration, ensuring that each link can be verified. Specifically, the main station human-machine interface intuitively displays the fault map and marks the fault area in the fault map.

[0076] Furthermore, this solution has strong fault tolerance and can deal with abnormal situations such as switch refusal to operate and communication interruption, and provide necessary safety locking measures to avoid interference from other operations during fault handling, thus ensuring the safety and reliability of the system. Specifically, under the semi-automatic remote control solution, when the Xingfu variable load switch is uncontrollable, the system will prompt the abnormality and expand the isolation range downstream, while giving the power outage load range. In the power supply restoration plan, the system can display the switch execution status in real time, and display the total power capacity and remaining capacity to ensure that the recovery process does not cause other equipment to be overloaded.

[0077] Furthermore, this solution supports multi-terminal joint testing, verifies the collaborative working ability between the master station system and the terminal equipment, and can comprehensively test the correctness and completeness of the master station automation strategy, making up for the shortcomings of traditional single-unit testing. Specifically, in the K2 fault point test, the master station system can receive the three-remote information uploaded by multiple terminals (DTU and FTU), and locate the fault, isolate and restore power supply based on the received three-remote information.

[0078] This embodiment also provides a computer device, which is applicable to a distribution network master station feeder automation function detection method, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the distribution network master station feeder automation function detection method proposed in the above embodiment.

[0079] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the automatic function detection of the feeder of the distribution network master station can be realized by adjusting the kernel parameters.

[0080] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0081] An embodiment of the present invention provides a storage medium on which a program is stored. When the program is executed by a processor, a method for detecting an automatic function of a feeder line of a power grid master station is implemented.

[0082] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes a method for detecting feeder automation functions of a power grid master station when the program is running.

[0083] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0084] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0087] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0088] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0089] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined in this article, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0090] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting the feeder automation function of a distribution network master station, characterized in that: include: Establishing a functional detection simulation platform, and establishing a distribution network detection model based on the functional detection simulation platform; Based on the distribution network detection model, simulate the distribution network abnormality and generate corresponding three-remote information, and generate a distribution network restoration plan based on the three-remote information; Inputting data in the distribution network restoration plan into the distribution network detection model to verify the effect of the distribution network restoration plan on feeder automation fault handling; According to the verified effect of feeder automation fault handling, a distribution network master station feeder automation function test report is generated to complete the distribution network master station feeder automation function test.

2. The method for detecting the feeder automation function of the distribution network master station according to claim 1 is characterized in that: Simulating distribution network anomalies and generating corresponding three-remote information include: Set the physical parameters of the power grid line according to the actual power grid topology parameters, and calibrate the telemetry and telesignaling addresses; After the verification is completed, the data used for simulation is input into the distribution network detection model to simulate the first fault under normal working conditions of the line and / or the second fault under abnormal working conditions; Generate corresponding three-remote control information according to the first fault and / or the second fault, and convert the generated three-remote control information into 104 protocol messages.

3. The method for detecting the feeder automation function of the distribution network master station according to claim 1, characterized in that: Generating a distribution network restoration plan based on the three remote information includes: The three remote control information is combined with the grid topology to determine the fault section boundary, and the minimum isolation range is determined through the switch position information; Perform abnormal blocking verification and transfer path feasibility verification based on the fault section boundary and the minimized isolation range; The load margin of the first transfer supply path is calculated in real time according to the three remote control information and the grid topology parameters, and it is determined whether the load margin of the first transfer supply path is less than or equal to the first set threshold; if the load margin of the first transfer supply path is greater than or equal to the first set threshold, a distribution network recovery plan is generated; if the load margin of the first transfer supply path is less than the first set threshold, the backup transfer supply path is switched and the load margin of the second transfer supply path after switching is recalculated.

4. The method for detecting the feeder automation function of the distribution network master station according to claim 1, characterized in that: The verification of the effect of the distribution network restoration scheme on feeder automation fault handling includes: Use the distribution network detection model to calculate the transfer load rate of the transfer path or the standby transfer path in real time, and determine whether the transfer load rate is less than or equal to a second set threshold value, if the transfer load rate is less than or equal to the second set threshold value, perform a topology reconstruction check, otherwise switch the circuit path or manually cut the load; When performing the topology reconstruction check, a first reconstruction load margin is calculated, and if the first reconstruction load margin is greater than a second set threshold, a recovery success is recorded and a detection report is generated; If the first reconfigured load margin is less than or equal to the second set threshold, the backup transfer path is switched or the non-critical branch switch is remotely disconnected, and the second reconfigured load margin is recalculated; If the second reconstructed load margin is still less than the second set threshold, it is determined that the distribution network restoration plan does not meet the safety requirements.

5. The method for detecting the feeder automation function of the distribution network master station according to claim 4 is characterized in that: Verification of the effectiveness of the distribution network restoration solution for feeder automation fault handling also includes: If the feeder automation fault location section or topology coloring is inconsistent with the fault point position of the distribution network detection model, it is determined that the feeder automation fault location has failed; If the feeder automation fault isolation solution is missing or the fault isolation area is enlarged, the feeder automation fault isolation is determined to have failed; If the power restoration plan is missing or the restoration process causes other lines, main transformers and other equipment to be overloaded, the power restoration is considered to have failed; If the fully automatic remote control scheme has a feeder switch with remote control conditions, and the remote remote control closing / opening execution is wrong, the feeder automation execution fails; If the feeder switch in the minimum power outage plan does not have remote control conditions and the local manual closing / opening execution is wrong, it is determined that the feeder automation execution has failed; If the above results are all correct, it is determined that the feeder automation function of the distribution network master station is correct and complete.

6. The method for detecting the feeder automation function of the distribution network master station according to claim 2, characterized in that: The first fault is a feeder automation fault under normal working conditions of the feeder branch; the second fault is a feeder automation fault under abnormal working conditions of the feeder branch.

7. The method for detecting the feeder automation function of the distribution network master station according to claim 6, characterized in that: The first fault includes: circuit breaker outlet fault, busbar fault, cable fault, load side fault, and line end fault; the second fault includes: switch refusal to operate, switch malfunction, communication interruption during feeder automation processing, concurrent faults, line or equipment maintenance, switch response delay, receipt of substation total fault signal during feeder automation processing, predicted line overload, and power point switch commissioning / exiting primary reclosing protection.

8. The method for detecting feeder automation function of a distribution network master station according to claim 1, characterized in that: Generate distribution network master station feeder automation function test report including distribution automation test, fault inversion test and load transfer test.

9. The method for detecting the feeder automation function of the distribution network master station according to claim 8, characterized in that: The distribution automation detection includes fault handling function configuration and input / output mechanism, fault handling function, fault handling safety constraint test and processing control mode; the fault inversion detection includes fault initiation and processing, fault process information; The load transfer detection includes load information statistics, transfer strategy analysis, transfer strategy simulation and transfer strategy execution.

10. A distribution network master station feeder automation function detection system, used to implement the distribution network master station feeder automation function detection method according to any one of claims 1 to 9, characterized in that: The distribution network master station feeder automation function detection system comprises: A model building module, used to establish a function detection simulation platform, and to establish a distribution network detection model based on the function detection simulation platform; A simulation module, used for simulating distribution network anomalies and generating corresponding three-remote information based on the distribution network detection model, and generating a distribution network restoration plan based on the three-remote information; An effect verification module, used for inputting data in the distribution network restoration plan into the distribution network detection model to verify the effect of the distribution network restoration plan on feeder automation fault handling; The report generation module is used to generate a distribution network master station feeder automation function test report based on the verified feeder automation fault processing effect, and complete the distribution network master station feeder automation function test.

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