Method and system for checking differentiated configuration of process layer of intelligent substation

Abstract

An intelligent substation process layer differential configuration checking method and system belong to the field of intelligent power grids, and the method comprises the following steps: collecting information of a target substation, initializing a differential configuration model according to the information, and establishing a typical primary wiring mode library and a configuration parameter weight library; the method comprises the following steps: automatically identifying nodes in primary equipment based on a primary system topological structure, and establishing a mapping relationship between the nodes and process layer intelligent equipment to form an equipment-information flow-communication link three-layer logic mapping matrix; generating an initial differential configuration strategy based on the voltage level, the function configuration requirement and the mapping matrix; performing matching checking on the initial differential configuration strategy and a preset configuration template, and performing checking judgment through a configuration rule engine; and performing communication link simulation and function verification on the configuration scheme through the simulation platform. According to the method, the differentiated configuration model is constructed, various wiring modes are effectively adapted, the configuration accuracy and adaptability are improved, and the checking efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart grid, and more specifically, particularly relates to a differential configuration verification method and system for the process layer of a smart substation. Background Art

[0002] With the continuous development of the power system, smart substations have become important infrastructure for realizing the automation, informatization, and intelligence of the power grid. The core feature of a smart substation is to integrate traditional relay protection, measurement and metering, monitoring and control, and other functional units through digital and network means, and achieve device interconnection and information sharing through the IEC 61850 communication protocol. In the structure of a smart substation, it is usually divided into an interval layer, a process layer, and a station control layer according to a three-layer architecture. Among them, as the layer closest to the primary equipment, the process layer undertakes key tasks such as analog quantity sampling, switch quantity acquisition and control (such as status monitoring and operation of circuit breakers and disconnectors), and its main equipment includes merging units, intelligent terminals, GOOSE control units, etc. However, in the prior art, the configuration method of the process layer generally adopts standardized and templated configuration, that is, substations with different voltage levels, wiring methods, and functional requirements all use the same configuration template. This "one-size-fits-all" configuration method has the following prominent problems: for substations with different primary wiring methods and equipment densities, the standard configuration may result in some equipment being vacant or having insufficient resources, and it cannot adapt to complex structures; the standard configuration does not consider the characteristics of information flow distribution, resulting in over-dense GOOSE links and redundant SV transmission, affecting real-time performance; there is a lack of a systematic verification mechanism after configuration, and it often relies on manual inspection, which is inefficient and error-prone; in the face of new wiring methods or requirements of different power supply areas, the existing templates cannot be flexibly adapted, affecting the engineering deployment efficiency and operation reliability.

[0003] Therefore, there is an urgent need to propose a differential configuration verification method for the process layer of a smart substation, which can fully collect and analyze the information of the primary equipment of the target substation; automatically establish a three-layer logical mapping relationship of equipment - information flow - communication link; form an optimal configuration strategy based on differential characteristics; and use a communication simulation platform to realize the verification of configuration correctness and functionality. Summary of the Invention

[0004] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above or existing problems of the new energy vehicle power management and monitoring method and system, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] An embodiment of the present invention provides a method for checking the differential configuration of the process layer of an intelligent substation, including: collecting information of a target substation, initializing a differential configuration model according to the information, and establishing a typical primary wiring mode library and a configuration parameter weight library;

[0008] Based on the primary system topology structure, automatically identify the nodes in the primary equipment, and establish a mapping relationship between them and the process layer intelligent equipment to form a three-layer logical mapping matrix of equipment-information flow-communication link;

[0009] Based on the voltage level, function configuration requirements and the mapping matrix, generate an initial differential configuration strategy;

[0010] Match and check the initial differential configuration strategy with a preset configuration template, and perform a check and judgment through a configuration rule engine;

[0011] Output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification on the configuration scheme through a simulation platform.

[0012] As a preferred solution of the method for checking the differential configuration of the process layer of the intelligent substation described in the present invention, wherein: collecting information of a target substation, initializing a differential configuration model according to the information, and establishing a typical primary wiring mode library and a configuration parameter weight library, including:

[0013] The collected information includes voltage level, primary system wiring structure topology, function configuration requirements and communication network structure, construct a differential configuration factor set, assign weight values to each factor and perform standardization processing, use KNN to perform similarity matching between the current site feature vector and the samples in the historical standard library, and output the configuration suggestion level;

[0014] Collect and classify the standardized typical wiring diagram styles, store them in the form of graph data structures, and attach a corresponding recommended configuration list for the process layer to each wiring mode.

[0015] As a preferred solution of the method for checking the differential configuration of the process layer of the intelligent substation described in the present invention, wherein: based on the primary system topology structure, automatically identify the nodes in the primary equipment, and establish a mapping relationship between them and the process layer intelligent equipment to form a three-layer logical mapping matrix of equipment-information flow-communication link, including:

[0016] Use the device identifier and its attributes to classify the devices in the primary system, use the device identifier and its attributes to classify the devices in the primary system, and for each primary device, establish a mapping with the process layer device according to its function type;

[0017] Construct an information flow set according to the information exchange definition among process layer intelligent devices:

[0018]

[0019] Among them, each information flow i m is represented in the form of a triple;

[0020] Extract the internal communication network structure of the substation process layer according to the system design or SCD configuration file, and construct a mapping matrix , if the information flow i m passes through the link l j , then:

[0021]

[0022] Finally, establish a three-layer logical mapping matrix:

[0023]

[0024] represents the logical path of primary equipment → information flow → communication link. Each non-zero element MEIL(i, j) = 1 indicates that the information i i generated or received by the primary equipment e m is transmitted through the link l j .

[0025] As a preferred solution of the intelligent substation process layer differential configuration verification method described in the present invention, among them: based on the voltage level, function configuration requirements and mapping matrix, generate an initial differential configuration strategy, including:

[0026] Combine the primary wiring diagram and equipment characteristics to fine-tune the template: if the number of bus segments > 2, automatically enable the bus differential protection node; if there is main transformer parallel operation, add the configuration of the main transformer neutral point voltage acquisition point;

[0027] If there is automatic switching of dual power supplies, add the GO_CB control logic; analyze the degree centrality of key nodes through the graph structure, and configure redundant MUs for load equipment;

[0028] Compare with the three-layer mapping matrix M EIL , verify whether all information links are covered in the initial configuration and meet the function requirements F, and perform the following steps: check each function f i , whether there is a complete path of equipment → information flow → communication link in M EIL ; if there is an "isolated path" or "link bottleneck", automatically append the necessary MU / GOOSE channels to the configuration template; perform constraint optimization to meet the minimum redundancy quantity and minimum communication quality index.

[0029] As a preferred solution of the intelligent substation process layer differential configuration verification method of the present invention, wherein: matching and verifying the initial differential configuration strategy with a preset configuration template, and performing verification and judgment through a configuration rule engine, including:

[0030] Initialize the template library T, and classify it according to voltage level, device type, and typical function configuration; the rule engine loads the rule set R, and each rule has:

[0031]

[0032] For each configuration item t in the policy table T′ j ′ , find the configuration item t with the same name in the corresponding template T j , and execute the following matching logic:

[0033]

[0034] If there is an allowable error or adjustable item, judge whether it is within the error tolerance range:

[0035]

[0036] Add the non-conforming items to the difference list D = {t k ′ ≠ tk}.

[0037] As a preferred solution of the intelligent substation process layer differential configuration verification method of the present invention, wherein: matching and verifying the initial differential configuration strategy with a preset configuration template, and performing verification and judgment through a configuration rule engine, further including:

[0038] The rule engine takes the configuration strategy T′, function requirement F, and mapping matrix M EIL as context variables and executes the following rule set:

[0039] When there is a differential protection requirement, two SV channels must be configured and the synchronization is consistent:

[0040]

[0041] Each information flow path must have a path in M EIL :

[0042]

[0043] If there are many configuration differences, automatically adjust the number of MUs and recommend a GOOSE configuration method switching strategy.

[0044] As a preferred solution of the intelligent substation process layer differential configuration verification method described in the present invention, wherein: the optimized configuration result is output as an SCD configuration file, and the communication link simulation and function verification of the configuration scheme are carried out through a simulation platform, including:

[0045] Set D_sv as the sampled value data frame, the network transmission delay T_net, the receiving error rate e_sv, verify that T_net ≤ T_thresh and e_sv ≤ ε; the GOOSE event trigger time is t0, and the message arrival time at the target IED is t1, satisfying the communication delay:

[0046] Δt = t1 - t0 ≤ Δt max = 3ms

[0047] Simulate reading telemetry values and issuing remote control commands, and verify that the IED can respond correctly.

[0048] An intelligent substation process layer differential configuration verification system, including:

[0049] A model configuration module, used to collect information of the target substation, initialize a differential configuration model according to the information, and establish a typical primary wiring mode library and a configuration parameter weight library;

[0050] A mapping establishment module, used to automatically identify nodes in the primary equipment based on the primary system topology structure, and establish a mapping relationship between them and the process layer intelligent devices to form a three-layer logical mapping matrix of device - information flow - communication link;

[0051] A policy generation module, used to generate an initial differential configuration policy based on the voltage level, function configuration requirements, and mapping matrix;

[0052] A verification and judgment module, used to match and verify the initial differential configuration policy with a preset configuration template, and perform verification and judgment through a configuration rule engine;

[0053] A simulation verification module, used to output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification on the configuration scheme through a simulation platform.

[0054] A computing device, the computing device includes:

[0055] At least one processor, a memory, and an input / output unit;

[0056] Wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the steps of the intelligent substation process layer differential configuration verification method.

[0057] A computer-readable storage medium includes instructions that, when run on a computer, cause the computer to execute the steps of a method for checking the differential configuration of the process layer of an intelligent substation.

[0058] The beneficial effects of the present invention are as follows: Based on multi-source information such as the primary system structure, voltage level, equipment scale, and functional requirements of the target substation collected, the present invention constructs a differential configuration model, no longer relying on traditional unified templates, thus effectively adapting to various wiring methods and functional scenarios, and significantly improving the accuracy and adaptability of the configuration. By automatically identifying the primary equipment nodes and combining with the configuration relationship of intelligent devices, a three-layer mapping matrix of the equipment layer, information flow layer, and communication link layer is established, comprehensively reflecting the configuration logic structure of the process layer, which helps to accurately analyze and optimize the configuration topology. The introduction of a configuration parameter weight library and a configuration rule engine can compare and analyze the generated differential configuration strategy with the preset template and conduct logical verification, automatically judging the configuration rationality, resource matching, and communication reliability, replacing the traditional manual verification method, and improving the verification efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0060] Figure 1 It is a flowchart of a method for checking the differential configuration of the process layer of an intelligent substation provided by an embodiment of the present invention.

[0061] Figure 2 It is a schematic structural diagram of a system for checking the differential configuration of the process layer of an intelligent substation provided by an embodiment of the present invention.

[0062] Figure 3 It schematically shows a structural diagram of a medium according to an embodiment of the present invention.

[0063] Figure 4 It schematically shows a structural diagram of a computing device according to an embodiment of the present invention.

[0064] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification.

[0066] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways than those specifically described herein, and those skilled in the art can make similar extensions without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0067] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that mutually excludes other embodiments.

[0068] Embodiment

[0069] The following refers to Figure 1 , Figure 1 which is a flowchart of the intelligent substation process layer differential configuration verification method provided for an embodiment of the present invention. It should be noted that the implementation manner of the present invention can be applied to any applicable scenario.

[0070] Figure 1 The process of the intelligent substation process layer differential configuration verification method provided for an embodiment of the present invention shown in

[0071] S1: Collect information of the target substation, initialize the differential configuration model according to the information, and establish a typical primary wiring mode library and a configuration parameter weight library.

[0072] Preferably, the collected information includes voltage level, primary system wiring structure topology, function configuration requirements, and communication network structure. Construct a differential configuration factor set, assign weight values to each factor and perform normalization processing, use KNN to perform similarity matching between the current site feature vector and the samples in the historical standard library, and output the configuration recommendation level;

[0073] Collect and classify standardized typical wiring diagram styles, store them in the form of graph data structures, and attach a corresponding process layer recommended configuration list to each wiring mode.

[0074] Furthermore, extract the following key information items from the design data and modeling system of the target substation:

[0075] F1: Voltage level (such as 110kV, 220kV, 500kV, etc.); F2: Primary system wiring structure topology (such as single bus, double bus, double bus with bypass, double bus section, ring network, etc.); F3: Function configuration requirements (such as whether it includes bus-tie protection, main transformer backup protection, number of input points, number of GOOSE control strategies, etc.);

[0076] F4: Communication network structure parameters (such as the proportion of MMS / GOOSE / SV used in the process layer, network topology (star / ring network), link load threshold, etc.); The above information together constitutes the differential configuration factor set F = {F1, F2, F3, F4,..., F n}.

[0077] Quantify and normalize each factor: Perform One-hot encoding on qualitative factors (such as wiring structure); Use Min-Max normalization for numerical factors (such as the number of switches); At the same time, introduce the weight coefficient w i to reflect the importance of each factor for configuration matching. Build a historical standard sample library, and each sample V j contains the standard feature vectors of typical substations and their corresponding configuration levels (such as simplified type, standard type, enhanced type). Use the K-nearest neighbor algorithm, adopt Euclidean distance as the similarity metric; Select the nearest k samples, perform weighted voting or average distance discrimination, and output the recommended configuration level. Build a typical primary wiring mode library, and each wiring method is modeled and represented in the form of a graph structure. Each typical wiring diagram is bound to the corresponding process layer configuration list, including the recommended number of MUs and switch contact allocation strategies; Recommended GOOSE communication link grouping strategies; Recommended sampling rate; Recommended merging method; Recommended IED layout strategy.

[0078] S2: Based on the primary system topology structure, automatically identify the nodes in the primary equipment, and establish a mapping relationship with the process layer intelligent equipment to form a three-layer logical mapping matrix of equipment-information flow-communication link.

[0079] Preferably, use the device identifier and its attributes to classify the devices in the primary system, use the device identifier and its attributes to classify the devices in the primary system, and for each primary device, establish a mapping with the process layer device according to its function type;

[0080] According to the information exchange definition between process layer intelligent devices, construct the information flow set:

[0081]

[0082] Among them, each information flow i m is represented in the form of a triple;

[0083] According to the system design or SCD configuration file, extract the internal communication network structure of the substation process layer and construct a mapping matrix , if the information flow i m passes through the link l j , then:

[0084]

[0085] Finally, a three - layer logical mapping matrix is established:

[0086]

[0087] It represents the logical path of primary equipment → information flow → communication link. Each non - zero element MEIL(i,j) = 1 indicates that the information i i generated or received by the primary equipment e m is transmitted through the link l j .

[0088] Furthermore, according to the system design data of the target substation or the SCD configuration file, extract the substation process - layer communication link set L = {l1, l2,..., l p}, including the equipment, switches, protocols (such as GOOSE / SV / MMS) and topological information connected by each link.

[0089] For each information flow im k , check whether it passes through the link l j . If it does, construct the mapping relationship:

[0090]

[0091] Finally, the following three - layer mapping logic is formed:

[0092] The mapping matrix ME from primary equipment to information flow

[0093]

[0094] The mapping matrix IL from information flow to link

[0095]

[0096] This three - layer mapping matrix is used for: judging the integrity of the communication path of a certain primary equipment; analyzing the correlation degree of the impact of communication links on equipment; and being used for subsequent redundancy evaluation and configuration optimization.

[0097] S3: Generate an initial differential configuration strategy based on the voltage level, functional configuration requirements and the mapping matrix.

[0098] Preferably, in combination with the primary wiring diagram and equipment characteristics, fine - tune the template: if the number of bus segments > 2, automatically enable the bus differential protection node; if there is main transformer parallel operation, add the main transformer neutral point voltage acquisition point configuration; if there is automatic switching of dual power sources, add the GO_CB control logic; analyze the degree centrality of key nodes through graph structure to configure redundant MUs for load equipment;

[0099] Compare with the three - layer mapping matrix M EIL, to verify whether all information links are covered in the initial configuration and meet the functional requirement F, perform the following steps: check each function f i , whether there is a complete path of device → information flow → communication link in M EIL ; if there is an "isolated path" or "link bottleneck", automatically append the necessary MU / GOOSE channels in the configuration template; perform constraint optimization to meet the minimum redundancy quantity and minimum communication quality index.

[0100] Furthermore, when the number of bus segments n bus > 2 is identified in the primary wiring diagram, the system automatically determines that the bus differential protection function needs to be enabled. Specific operations:

[0101] Append the bus differential protection IED node in the configuration template; and add the corresponding MU sampling points and GOOSE control logic; update the protection function set F←F∪{fbusdiff}. When the primary wiring diagram identifies that the main transformers have a parallel operation structure (such as two main transformers connected in parallel to the same bus), the system determines that it is necessary to monitor the neutral point voltage of each main transformer to prevent zero-sequence offset. The configuration rules are as follows: on each main transformer node, add the MU configuration item for collecting the neutral point voltage; if the original template does not have the neutral point monitoring function, enable and bind it to the transformer sampling unit; add the corresponding information flow im Vn and link mapping. If a standby power switch (such as a common double-power automatic switching structure) is identified in the graph structure, automatically enable the control logic configuration: insert the GO_CB (double-power switching control logic) node; configure the GOOSE publishing and subscribing links of the corresponding control IED → two circuit breakers; add the new information flow im go_cb to the information flow set.

[0102] Analyze the primary equipment graph G(V,E) using the "degree centrality" index in graph theory, identify the key nodes with load capacity and perform redundant optimization configuration:

[0103] Calculation of device centrality:

[0104]

[0105] If the centrality CD(vi)≥θ (the threshold can be set to 20% of the total number of nodes), it is identified as a key node and redundant configuration is required.

[0106] Redundant configuration strategy: Add an auxiliary MU outside the original MU, bind the same sampling source; configure the GOOSE redundant channel; include the redundant MU in the SCD file for mutual backup subscription relationship; update the device mapping relationship matrix ME so that multiple MUs point to the same primary equipment sampling point.

[0107] For each function f i, define the set P of required functional paths fi ={(e, im, l)}, and check them in sequence:

[0108]

[0109] That is, verify whether the path exists:

[0110]

[0111] If there is a missing part, it means there is an "isolated path" or "link bottleneck".

[0112] If it is found that the information flow of the "isolated path" is not transmitted, the system adds a MU or GOOSE link according to the original connection point configuration; if a certain communication link is occupied by multiple high-priority information flows, it is identified as a bottleneck, and the load is automatically split or a standby channel is set; all new configurations will be instantaneously synchronized and updated in the corresponding device nodes and communication connection segments in the SCD template.

[0113] S4: Match and check the initial differential configuration strategy with the preset configuration template, and perform the check and judgment through the configuration rule engine.

[0114] Preferably, initialize the template library T, classify it according to voltage level, device type, and typical function configuration; the rule engine loads the rule set R, and each rule has:

[0115]

[0116] For each configuration item t in the policy table T′ j ′ , find the configuration item t with the same name in the corresponding template T j , and execute the following matching logic:

[0117]

[0118] If there is an allowable error or adjustable item, judge whether it is within the error tolerance range:

[0119]

[0120] Add the non-conforming items to the difference list D = {t k ′≠tk}.

[0121] Preferably, the rule engine executes the following rule set with the configuration policy T′, functional requirement F, and mapping matrix M EIL as context variables:

[0122] When there is a differential protection requirement, two SV channels must be configured and the synchronization is consistent:

[0123]

[0124] Each information flow path must have a path in M EIL :

[0125]

[0126] If there are many configuration differences, automatically adjust the number of MUs, and recommend the GOOSE configuration method switching strategy.

[0127] Furthermore, the engine R loads the preset rule set:

[0128]

[0129] Each rule is in the form of:

[0130] r i : IF context_condition THEN matching_action

[0131] where the context condition includes the functional requirement F, the communication mapping MEIL, the current configuration item t′, etc. For each configuration tj′ in the policy table T′, execute the following difference detection logic:

[0132] Search for the configuration item tj with the same name in the corresponding template library T.

[0133] If this configuration item supports adjustment:

[0134] Define the error function as:

[0135]

[0136] If Δ(tj′, tj) ≤ ϵj, it is considered a match; otherwise, add it to the difference list;

[0137] After constructing the difference list, the rule engine executes the following optimization rules with the context variables T′, F, and MEIL as conditions:

[0138] Judge whether two synchronous sampling SV channels are configured:

[0139]

[0140] If not satisfied, add it to the difference list and update the policy.

[0141] S5: Output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification on the configuration scheme through the simulation platform.

[0142] Preferably, set D_sv as the sampled value data frame, the network transmission delay T_net, the reception error rate e_sv, and verify that T_net ≤ T_thresh and e_sv ≤ ε; the GOOSE event trigger time is t0, and the time when the message arrives at the target IED is t1, satisfying the communication delay:

[0143] Δt = t1 - t0 ≤ Δt max = 3ms

[0144] Simulate reading telemetry values and sending remote control commands to verify that the IED can respond correctly.

[0145] Furthermore, use the simulation platform to simulate the SV source device to send periodic sampling frame D sv (t) with a frequency of 4000Hz; record the arrival time t of each frame at the IED receiving end recv ;

[0146] Calculate the network delay of a single frame:

[0147] T net = t recv - t send

[0148] Judge whether it satisfies:

[0149] T net ≤ T thresh

[0150] Compare the sequence numbers of consecutive messages and count the number of received frame errors n err , and calculate the bit error rate;

[0151] If the network delay T net > T thresh or the error rate e sv > ε, it indicates that there is a delay bottleneck or data loss in the link; otherwise, record it as "SV communication link is normal".

[0152] Configure the GSE channel between IEDs and simulate a protection device to issue a GOOSE event; use a network analysis tool or simulation platform to record the event trigger and arrival timestamps; calculate the communication delay and judge:

[0153] Δt ≤ 3 ms

[0154] If the status value is carried in the GOOSE message, observe whether the target IED correctly executes the switch position; if the target IED responds incorrectly or does not respond, record the error event number and the message content.

[0155] After introducing the method of the exemplary embodiment of the present invention, next, refer to Figure 2An intelligent substation process layer differential configuration verification system according to an exemplary embodiment of the present invention will be described. The system includes:

[0156] A model configuration module, configured to collect information of a target substation, initialize a differential configuration model according to the information, and establish a typical primary wiring mode library and a configuration parameter weight library;

[0157] A mapping establishment module, configured to automatically identify nodes in primary equipment based on the primary system topology structure, and establish a mapping relationship between them and process layer intelligent devices to form a three-layer logical mapping matrix of equipment-information flow-communication link;

[0158] A policy generation module, configured to generate an initial differential configuration policy based on the voltage level, function configuration requirements, and the mapping matrix;

[0159] A verification and judgment module, configured to match and verify the initial differential configuration policy with a preset configuration template, and perform verification and judgment through a configuration rule engine;

[0160] A simulation verification module, configured to output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification on the configuration scheme through a simulation platform.

[0161] After introducing the methods and devices of the exemplary embodiments of the present invention, next, reference is made to Figure 3 A computer-readable storage medium according to an exemplary embodiment of the present invention will be described. Please refer to Figure 3 , the shown computer-readable storage medium is an optical disc 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will implement the steps recorded in the above method embodiments, for example, collecting information of a target substation, initializing a differential configuration model according to the information, and establishing a typical primary wiring mode library and a configuration parameter weight library; automatically identifying nodes in primary equipment based on the primary system topology structure, and establishing a mapping relationship between them and process layer intelligent devices to form a three-layer logical mapping matrix of equipment-information flow-communication link; generating an initial differential configuration policy based on the voltage level, function configuration requirements, and the mapping matrix; matching and verifying the initial differential configuration policy with a preset configuration template, and performing verification and judgment through a configuration rule engine; outputting the optimized configuration result as an SCD configuration file, and performing communication link simulation and function verification on the configuration scheme through a simulation platform; the specific implementation manners of each step will not be repeated here.

[0162] It should be noted that examples of the computer-readable storage medium may further 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 optical and magnetic storage media, which will not be elaborated here one by one.

[0163] After introducing the methods, apparatuses, and media of the exemplary embodiments of the present invention, next, reference is made to Figure 4 a computing device for checking the differential configuration of the process layer of an intelligent substation according to the exemplary embodiments of the present invention.

[0164] Figure 4 A block diagram showing an exemplary computing device 40 suitable for implementing the embodiments of the present invention is presented. The computing device 40 may be a computer system or a server. Figure 4 The shown computing device 40 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0165] As Figure 4 shown, the components of the computing device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 connecting different system components (including the system memory 402 and the processing unit 401).

[0166] The computing device 40 typically includes a variety of computer system-readable media. These media can be any available media accessible by the computing device 40, including volatile and non-volatile media, removable and non-removable media.

[0167] The system memory 402 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 4021 and / or cache memory 4022. The computing device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 4023 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 not shown in the figure, usually referred to as a "hard disk drive"). Although not shown in Figure 4As shown, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM or other optical media) can be provided. In these cases, each drive can be connected to the bus 403 through one or more data medium interfaces. The system memory 402 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the various embodiments of the present invention.

[0168] A program / utility 4025 having a set (at least one) of program modules 4024 can be stored, for example, in the system memory 402, and such program modules 4024 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, and the implementation of a network environment may be included in each or some combination of these examples. The program modules 4024 generally perform the functions and / or methods in the embodiments described in the present invention.

[0169] The computing device 40 can also communicate with one or more external devices 404 (such as a keyboard, a pointing device, a display, etc.). Such communication can be carried out through an input / output (I / O) interface 405. And the computing device 40 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and / or a public network, such as the Internet) through a network adapter 406. As Figure 4 shown, the network adapter 406 communicates with other modules (such as the processing unit 401, etc.) of the computing device 40 through the bus 403. It should be understood that although Figure 4 not shown in the figure, other hardware and / or software modules can be used in combination with the computing device 40.

[0170] The processing unit 401 executes various functional applications and data processing by running the programs stored in the system memory 402. For example, it collects information of the target substation, initializes the differential configuration model according to the information, and establishes a typical primary wiring mode library and a configuration parameter weight library; based on the primary system topology, it automatically identifies the nodes in the primary equipment and establishes a mapping relationship between them and the process layer intelligent devices to form a three-layer logic mapping matrix of device-information flow-communication link; based on the voltage level, functional configuration requirements and the mapping matrix, it generates an initial differential configuration strategy; it matches and checks the initial differential configuration strategy with a preset configuration template and makes a check and judgment through a configuration rule engine; it outputs the optimized configuration result as an SCD configuration file and conducts communication link simulation and function verification on the configuration scheme through a simulation platform.

[0171] The specific implementation manners of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the intelligent substation process layer differential configuration verification system are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present invention, the features and functions of the two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0172] In the description of the present invention, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0173] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0174] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division manners in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0175] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] In addition, the functional units in each embodiment of the present invention can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0177] When the above-mentioned functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0178] Finally, it should be noted that the above-mentioned embodiments are only specific embodiments of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions described in the foregoing embodiments, or can easily think of changes, or make equivalent replacements for some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

[0179] In addition, although the operations of the method of the present invention are described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution.

Claims

1. A differential configuration verification method for the process layer of an intelligent substation, characterized in that, Including: Collect the information of the target substation, initialize the differential configuration model according to the information, and establish a typical primary wiring mode library and a configuration parameter weight library; Based on the primary system topology structure, automatically identify the nodes in the primary equipment, and establish a mapping relationship between them and the process layer intelligent devices to form a three-layer logical mapping matrix of device - information flow - communication link; Generate an initial differential configuration strategy based on the voltage level, function configuration requirements and the mapping matrix; Match and check the initial differential configuration strategy with a preset configuration template, and perform a check and judgment through a configuration rule engine; Output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification on the configuration scheme through a simulation platform.

2. The intelligent substation process layer differential configuration verification method according to claim 1, wherein The step of collecting the information of the target substation, initializing the differential configuration model according to the information, and establishing a typical primary wiring mode library and a configuration parameter weight library includes: The collected information includes the voltage level, the topology of the primary system wiring structure, function configuration requirements and communication network structure. Construct a differential configuration factor set, assign weight values to each factor and perform standardization processing. Use KNN to perform similarity matching between the current site feature vector and the samples in the historical standard library, and output the configuration recommendation level; Collect and classify the standardized typical wiring diagram styles, store them in the form of graph data structures, and attach a corresponding recommended configuration list for the process layer to each wiring mode.

3. The intelligent substation process layer differential configuration verification method according to claim 1, wherein The step of based on the primary system topology structure, automatically identifying the nodes in the primary equipment, and establishing a mapping relationship between them and the process layer intelligent devices to form a three-layer logical mapping matrix of device - information flow - communication link includes: Classify the devices in the primary system by using the device identifier and its attributes. For each primary device, establish a mapping with the process layer devices according to its function type; Construct an information flow set according to the information exchange definition between the process layer intelligent devices; ， Among them, each information stream i m is represented in the form of a triple; Extract the internal communication network structure of the substation process layer according to the system design or SCD configuration file, and construct a mapping matrix If information flow i m passes through link l j , then: ， Finally, establish a three-layer logical mapping matrix; ， Indicates the logical path of primary equipment → information flow → communication link. Each non-zero element MEIL(i,j) = 1 indicates that the information i i generated or received by the primary equipment e m is transmitted through link l j .

4. The intelligent substation process layer differential configuration verification method according to claim 1, wherein, The step of generating an initial differential configuration strategy based on the voltage level, function configuration requirements and the mapping matrix includes: Combine the primary wiring diagram and device characteristics to fine-tune the template: if the number of bus segments > 2, automatically enable the bus differential protection node; if there is main transformer parallel operation, add the configuration of the main transformer neutral point voltage acquisition point; If there is automatic switching of double power sources, add the GO_CB control logic; analyze the degree centrality of key nodes through the graph structure, and configure redundant MUs for the load devices; Reference three-layer mapping matrix M EIL , to verify whether all information links are covered in the initial configuration and meet the functional requirement F, perform the following steps: Check each function f i , whether there is a complete path device → information flow → communication link in M EIL ; If there are "isolated paths" or "link bottlenecks", automatically append the necessary MU / GOOSE channels to the configuration template; Perform constraint optimization to meet the minimum redundancy quantity and the minimum communication quality index.

5. The intelligent substation process layer differential configuration verification method according to claim 1, wherein The step of matching and checking the initial differential configuration strategy with a preset configuration template and performing a check and judgment through a configuration rule engine includes: Initialize the template library T, classify it by voltage level, device type and typical function configuration; the rule engine loads the rule set R, and each rule has: ， For each configuration item t in the policy table T' j ′ , search for the configuration item t with the same name in the corresponding template T j , and execute the following matching logic: ， If there is an allowable error or adjustable item, judge whether it is within the error tolerance range; ， Add the unsatisfied items to the difference list D = {t k ′ ≠ tk}.

6. The intelligent substation process layer differential configuration verification method according to claim 1, wherein The step of matching and checking the initial differential configuration strategy with a preset configuration template and performing a check and judgment through a configuration rule engine also includes: The rule engine executes the following rule set according to the configuration policy T′, the functional requirement F, and the mapping matrix M EIL as context variables: When there is a differential protection requirement, two SV channels must be configured and the synchronization is consistent; ， Each information flow path must have a path in M EIL There must be a path in ， If there are many configuration differences, automatically adjust the number of MUs and recommend the GOOSE configuration method switching strategy.

7. The intelligent substation process layer differential configuration verification method according to claim 1, wherein The optimized configuration result is output as an SCD configuration file, and the communication link simulation and function verification of the configuration scheme are carried out through a simulation platform, including: Set D_sv as the sampled value data frame, the network transmission delay T_net, and the reception error rate e_sv, and verify that T_net ≤ T_thresh and e_sv ≤ ε; the GOOSE event trigger time is t0, and the message arrival time at the target IED is t1, satisfying the communication delay: Δt=t1 - t0 ≤ Δt max = 3 ms, Simulate reading telemetry values and issuing remote control commands to verify that the IED can respond correctly.

8. An intelligent substation process layer differential configuration verification system, characterized in that Including: A model configuration module, which is used to collect information of the target substation, initialize a differential configuration model according to the information, and establish a typical primary wiring mode library and a configuration parameter weight library; A mapping establishment module, which is used to automatically identify nodes in primary equipment based on the primary system topology structure, and establish a mapping relationship with process layer intelligent devices to form a three-layer logical mapping matrix of device-information flow-communication link; A strategy generation module, which is used to generate an initial differential configuration strategy based on the voltage level, function configuration requirements, and mapping matrix; A verification and judgment module, which is used to match and verify the initial differential configuration strategy with a preset configuration template, and perform verification and judgment through a configuration rule engine; A simulation verification module, which is used to output the optimized configuration result as an SCD configuration file, and perform communication link simulation and function verification of the configuration scheme through a simulation platform.

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