Secondary equipment state online monitoring method

Abstract

The application discloses a kind of secondary equipment state online monitoring methods, it is related to electric power system monitoring technical field, the present application is monitored and distinguishes interference source and affected equipment simultaneously, and it is realized to the interference influence of primary equipment to secondary equipment in distributed energy source quantitative analysis by using correlation degree and confidence evaluation, based on the relevance of primary equipment and secondary equipment is targeted correction, improve the accuracy and efficiency of correction, avoid the misprocessing to normal data, reduce the risk of misoperation or decision-making error, significantly improve the overall operation reliability and security of complex power grid under high proportion of distributed energy access, improve the intelligent level of secondary equipment state monitoring, can better adapt to the complex operating environment such as strong electromagnetic interference brought by distributed energy access.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of power system monitoring, and particularly relates to a secondary equipment state online monitoring method. BACKGROUND

[0002] With the transformation of global energy structure and the promotion of the "double carbon" target, the penetration rate of distributed energy represented by photovoltaic and wind power in distribution networks and regional power grids is increasing. Its widespread application has changed the operation characteristics of traditional power grids. During the operation of distributed energy, the accuracy of the power grid topology structure is directly related to the safe and stable operation of the power system and power supply reliability. In the prior art, the acquisition of the power grid topology structure usually depends on the secondary equipment system deployed in the substation or switch station. In order to ensure the reliability of communication, anti-interference communication protocols and other measures are generally used to suppress electromagnetic interference in the operating environment of the secondary equipment system.

[0003] However, the prior art has obvious deficiencies in dealing with strong interference caused by the operation of primary high-voltage switching equipment in distributed energy stations. In the distributed energy grid connection point or related booster station and substation, during the moment of opening or closing operation of the primary high-voltage switching equipment, strong corona discharge phenomenon is easily generated due to the generation and extinction process of the arc between the contacts, forming wideband electromagnetic noise. This strong, transient wideband electromagnetic noise can be coupled to the adjacent secondary equipment signal cable and communication line, and the secondary equipment is easily disturbed by this strong noise, resulting in communication message loss, data bit error, transmission delay increase or even communication interruption. Especially for the secondary equipment communication link carrying critical switching state information, if the secondary equipment fails to accurately and timely upload the real switching state information, the power grid topology calculated by the background system based on the incorrect or outdated state information will be seriously inconsistent with the actual situation, directly misleading the judgment of the power grid protection, affecting the correct execution of the control strategy, reducing the accuracy of the state estimation and energy management system, and seriously threatening the safe and stable operation of the power grid with a high proportion of distributed energy. SUMMARY

[0004] In view of the defects in the prior art, the present application provides a secondary equipment state online monitoring method to solve the above technical problems.

[0005] A secondary equipment state online monitoring method, comprising the following contents:

[0006] Taking the grid connection point of the distributed energy cluster as the coordinate origin, a dynamic topology coordinate system containing primary equipment nodes and secondary equipment nodes is established;

[0007] Obtaining interference indication information of a primary device, locating a source point of an interference event causing the interference based on the interference indication information, obtaining a secondary device node and a SCD file of the secondary device, determining a logical position of the secondary device based on the SCD file;

[0008] Evaluating a confidence degree of an influence of the source point of the interference event on the logical position of the secondary device in the dynamic topology coordinate system, the evaluation process considering a correlation degree between the source point of the interference event and the secondary device node;

[0009] In a case where the confidence degree is lower than a threshold, performing weighted correction on the SCD file according to a preset correction rule.

[0010] By establishing a dynamic topology coordinate system and combining interference source positioning and secondary device logical position determination, the possibility of influence of switching operation interference of a specific primary device on state data of a secondary device can be accurately evaluated, and active weighted correction can be performed according to the possibility degree, so that state misreporting caused by electromagnetic noise is effectively avoided, so that the power grid topology obtained by the background system is closer to the physical actuality, and the response is more timely.

[0011] Preferably, when the logical position of the secondary device is determined based on the SCD file, the following steps are included:

[0012] Parsing the SCD file, traversing each intelligent electronic device, and extracting the IP address, communication parameter, and associated communication link of each intelligent electronic device;

[0013] Constructing a link topology graph according to the communication parameter and the communication link, and calculating a link weight;

[0014] Converting the link topology graph into a logical coordinate using a layout algorithm, and mapping the logical coordinate into the dynamic topology coordinate system.

[0015] The communication parameter includes but is not limited to periodic data in a report control block, and when the link topology graph is converted into a logical coordinate using a layout algorithm, the intelligent electronic device is usually taken as a node and the link is taken as an edge, and the position of each node is determined based on an application force directed layout algorithm.

[0016] Preferably, when the link topology graph is constructed according to the communication parameter and the communication link, and the link weight is calculated, the following steps are included:

[0017] Creating nodes of the link topology graph according to intelligent electronic device information and network access points thereof in the SCD file;

[0018] The communication link between nodes is identified based on analysis of the communication configuration of the SCD file, and edges of a topology graph are established accordingly. For each edge, the relevant communication parameters are extracted from the SCD file and quantified.

[0019] Based on a preset weight analysis model, the weight of each edge is calculated by comprehensively analyzing the quantified parameters, and the calculation result is assigned to the corresponding edge, and finally a link topology graph is generated.

[0020] The weight analysis model is specifically as follows:

[0021]

[0022] Among them, is the communication type weight, is the communication cycle weight, is the redundancy factor.

[0023] Among them, each node of the link topology graph represents a logical entity or physical port participating in communication. When analyzing the communication configuration of the SCD file, the publishing / subscription relationship of GOOSE, SV and MMS is considered. When extracting the relevant communication parameters from the SCD file, the rate / period, priority, data volume, communication type importance and other information can also be considered to enrich the types of communication parameters and improve the accuracy of the weight analysis result. The weight analysis result can reflect the bandwidth load or communication priority of the link, and the link topology graph reflects the weight of the communication network characteristics and load.

[0024] As a preferred, the evaluation of the confidence degree of the impact of the interference event source point on the logical position of the secondary device in the dynamic topology coordinate system specifically includes the following contents:

[0025] Based on a preset confidence degree calculation model, the confidence degree of the impact of the interference event source point on the logical position of the secondary device is calculated.

[0026] The confidence degree calculation model is specifically as follows:

[0027]

[0028] Among them,

[0029]

[0030]

[0031] Among them, is the Euclidean distance between the interference event source point and the secondary device node, is the reference distance, is the attenuation coefficient, is the maximum value of the sensitive frequency band of the secondary device, is a minimum value of a sensitive frequency band of the secondary equipment, is a maximum value of a communication frequency band of the secondary equipment, is a minimum value of a communication frequency band of the secondary equipment, is an interference spectrum power density, is a measured noise power, is a noise power threshold.

[0032] Preferably, the correction rule is specifically:

[0033] When , a first-level correction is started: based on the stored historical trusted configuration version, the SCD file exception field is voted to cover;

[0034] When , a second-level correction is started: the communication protocol is dynamically switched, and an anti-interference transmission mode is preferentially enabled;

[0035] When , a third-level correction is started: an "electromagnetic interference affected area" is marked in the topology graph, and a device shielding instruction is generated.

[0036] The confidence result ranges within [0, 1], and here the limitation of the correction rule is only set in the range of [0, 0.7). While guaranteeing the fault processing response rate, the system operation load can be reduced. When the confidence result is greater than 0.7, it is generally considered that the broadband electromagnetic noise caused by corona discharge has less interference on the secondary equipment, the interference time is short, and the slight deviation of the topology graph will not affect the normal operation of the whole;

[0037] Here, the anti-interference transmission mode generally considers spread spectrum communication or switching to fiber channel transmission.

[0038] Preferably, when the interference indication information of the primary equipment is acquired, the following steps are specifically included:

[0039] A broadband electromagnetic sensor array is deployed in a ring topology to cover the primary equipment switch operation area within a radius of 5 meters of the distributed energy equipment;

[0040] The time domain pulse sequence and the frequency domain noise spectrum generated by the corona discharge when the primary equipment switch is operated are collected in real time;

[0041] The time domain pulse sequence is wavelet packet decomposed, and the 1-10MHz high frequency component is extracted as a feature fingerprint;

[0042] The time sequence relationship between the primary equipment switch operation and the frequency domain noise spectrum is associated, and an interference database is established.

[0043] The broadband sensor can capture the key frequency components of the broadband electromagnetic noise generated by the corona discharge, avoid information loss, and through the array deployment, not only can monitor the interference signal, but also through the multi-point synchronous collection, provide the possibility for the subsequent spatial positioning of the interference source, ensure the effective monitoring of the strongest interference source; and by focusing on the specific high frequency band which is the most prominent or has the greatest impact on the secondary equipment, and taking it as a fingerprint, the corona discharge interference caused by switch operation can be very accurately distinguished.

[0044] As preferred, the time sequence relationship between the primary equipment switch operation and the frequency domain noise spectrum is used to establish the interference database, and specifically includes the following contents:

[0045] The primary equipment switch operation includes a device identifier, an operation type, and an operation occurrence timestamp;

[0046] In the frequency domain noise spectrum, one or more frequency domain noise spectrum data corresponding to the operation occurrence timestamp are obtained;

[0047] The device identifier, operation type, operation occurrence timestamp, and frequency domain noise spectrum data are structurally associated, and the output after structural association is taken as an interference record;

[0048] The interference record is stored in a preset database to form an interference database.

[0049] As preferred, the dynamic topology coordinate system containing the primary equipment node and the secondary equipment node is established, and specifically includes the following steps:

[0050] The geographic information of the distributed energy cluster, the wiring diagram information of the primary equipment, and the communication network configuration data of the secondary equipment are obtained to construct a basic topology framework;

[0051] From the grid connection point, the direction of voltage level increase is defined as the positive direction of the y-axis of the coordinate system, and one or more x-axes perpendicular to the y-axis are defined;

[0052] For any target primary equipment, the primary equipment node coordinates are generated based on the basic topology framework, the grid connection point and all primary equipment node coordinates are integrated, and a plurality of primary equipment topology chains are established;

[0053] Based on the primary equipment topology chain, the secondary equipment information associated with the primary equipment node is identified, the position of the secondary equipment in the coordinate system is determined according to the physical installation position information of the secondary equipment, and the secondary equipment node is generated;

[0054] The running state of the distributed energy system is monitored to establish a dynamic topology coordinate system containing the primary equipment node and the secondary equipment node under the current state.

[0055] Wherein, the x-axis is established to represent the transverse connection relationship or device parallel arrangement relationship within the same power grid level, directly reflects the upstream and downstream relationship in the power transmission path, makes the spatial distance associated with the electrical level, facilitates the understanding of energy flow and influence propagation, and accurately reproduces the actual electrical main wiring structure in the spatial coordinate system.

[0056] As preferably, when generating the primary device node coordinates based on the basic topology framework, the method comprises the following steps:

[0057] calculating the y-axis coordinate of the target primary device element relative to the coordinate origin, and determining the x-axis coordinate of the target primary device element according to the relative position of the target primary device element in the same level device;

[0058] assigning the calculated y-axis coordinate and x-axis coordinate to the target primary device element, and generating the primary device node coordinates in the basic topology framework.

[0059] As preferably, when monitoring the operation state of the distributed energy system, if the operation state of the distributed energy system changes, the affected electrical connection path and device association relationship are re-evaluated, and the coordinates of the affected primary device node and / or secondary device node in the coordinate system are updated.

[0060] The beneficial effects of the present application are: by online monitoring and distinguishing the interference source and the affected device, and by using correlation degree and confidence degree evaluation, the interference and influence of the primary device on the secondary device in the distributed energy are quantitatively analyzed, the correlation between the primary device and the secondary device is targeted for correction, the correction accuracy and efficiency are improved, the normal data is avoided from being misprocessed, the risk of misoperation or decision-making error is reduced, the overall operation reliability and safety of the complex power grid under high proportion of distributed energy access are significantly improved, the intelligent level of secondary device state monitoring is improved, and the complex operating environment such as strong electromagnetic interference brought by distributed energy access can be better adapted. BRIEF DESCRIPTION OF DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0062] Figure 1 A step diagram of a secondary device state online monitoring method provided by the present application;

[0063] Figure 2A secondary device state online monitoring method provided by the application constructs a link topology graph according to communication parameters and communication links, and calculates the steps of link weight. DETAILED DESCRIPTION

[0064] In the description of the application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the application.

[0065] The following disclosure provides many different embodiments or examples for implementing different structures of the application. In order to simplify the disclosure of the application, the components and settings of specific examples are described below. Of course, they are only examples and the purpose is not to limit the application.

[0066] The embodiments of the application will be described in detail below with reference to the accompanying drawings.

[0067] As shown in Figure 1 A secondary device state online monitoring method, comprising the following contents:

[0068] The grid-connected point of the distributed energy cluster is taken as the coordinate origin to establish a dynamic topology coordinate system containing primary device nodes and secondary device nodes;

[0069] Obtain the interference indication information of the primary device, locate the interference event source point that generates the interference based on the interference indication information, obtain the SCD file of the secondary device node and the secondary device, and determine the logical position of the secondary device based on the SCD file;

[0070] Evaluate the confidence degree of the influence of the interference event source point on the logical position of the secondary device in the dynamic topology coordinate system, and the correlation degree between the interference event source point and the secondary device node is considered in the evaluation process;

[0071] In the case where the confidence degree is lower than the threshold, the SCD file is weighted and corrected according to the preset correction rule.

[0072] In the scheme, by online monitoring and distinguishing the interference source and the affected device, and using correlation degree and confidence evaluation, the interference influence of the primary device on the secondary device in the distributed energy is quantitatively analyzed, the correlation between the primary device and the secondary device is targeted for correction, the correction accuracy and efficiency are improved, the normal data is avoided to be misprocessed, the risk of misoperation or decision error is reduced, the overall operation reliability and safety of the complex power grid under high proportion of distributed energy access are significantly improved, the intelligent level of the secondary device state monitoring is improved, and the strong electromagnetic interference and other complex operating environments brought by the distributed energy access can be better adapted.

[0073] More specifically, when determining the logical position of the secondary device based on the SCD file, the following steps are specifically included:

[0074] The SCD file is parsed, each intelligent electronic device is traversed, and the IP address, communication parameter and associated communication link of each intelligent electronic device are extracted;

[0075] The link topology graph is constructed according to the communication parameter and the communication link, and the link weight is calculated;

[0076] The layout algorithm is used to convert the link topology graph into logical coordinates, and the logical coordinates are mapped into the dynamic topology coordinate system.

[0077] By parsing the SCD file to extract the communication parameter and the link information, and constructing the link topology graph with weight, the communication connection relationship and the network structure between the secondary devices are accurately described, which helps the system to understand that the intelligent electronic device does not exist in isolation, but in a specific communication network topology, so that the logical position determination process can be automatically executed, the errors and workload of manual configuration are reduced, and the authority and consistency of the information source are guaranteed. The logical topology based on the communication link is converted into logical coordinates by the layout algorithm, and is mapped into the dynamic topology coordinate system containing the primary device, which provides a more accurate "distance" or "path" concept for subsequent evaluation of the influence of the interference source on the specific IED. The "distance" here is not only the physical distance, but more importantly, the connection relationship and the possible coupling path in the communication network are considered, which makes it possible to more accurately judge whether the interference signal is easy to spread to the target IED through the communication network when evaluating the interference confidence. The coordinate system no longer contains only the simple correspondence between the primary device and the secondary device, but contains detailed and quantitative communication interconnection information between the secondary devices, so that the description of the entire coordinate system for the power station information system is more comprehensive and in-depth, and the key spatial information and structural basis are provided for subsequent precise evaluation and correction of the influence of a specific interference event on the IED data.

[0078] For example, Figure 2As shown, more specifically, according to the communication parameters and the communication link, the link topology graph is constructed, and the link weight is calculated, specifically including the following steps:

[0079] According to the intelligent electronic device information in the SCD file and its network access point, the nodes of the link topology graph are created;

[0080] Based on the analysis of the communication configuration of the SCD file, the communication link between the nodes is identified, and the edges of the topology graph are established. For each edge, the relevant communication parameters are extracted from the SCD file and are quantitatively processed;

[0081] Based on the preset weight analysis model, the weight of each edge is calculated based on the quantitatively processed parameters, and the calculation result is assigned to the corresponding edge, and finally the link topology graph is generated,

[0082] The weight analysis model is specifically as follows:

[0083]

[0084] Among them, is the communication type weight, is the communication cycle weight, is the redundancy factor.

[0085] In the value process of, the following methods are generally used: when the communication type is GOOSE, 0.9 is taken; when the communication type is SV, 0.8 is taken; when the communication type is MMS, 0.3 is taken;

[0086] The communication cycle weight is: ,

[0087] As can be seen from the above formula, in the communication process, the shorter the cycle, the higher the real-time performance, and the greater the weight;

[0088] And when there are multiple links of the same type for a certain intelligent electronic device, such as double GOOSE channels, 1 main GOOSE link + 1 standby link, 1 main MMS link + 2 MMS links of three-redundancy MMS link, the degree of enhancement of the link redundancy to the communication reliability needs to be quantified,

[0089] The redundancy factor is:

[0090] Among them, is the number of redundant links, such as the above two examples, the intelligent electronic device connects the target device through double GOOSE channels, then ; when there are three-redundancy MMS links, ;

[0091] This formula demonstrates the contribution of redundancy to link robustness, effectively quantifies the improvement of communication link reliability by redundancy design, and provides a quantitative basis for topology optimization of distributed energy systems.

[0092] More specifically, when assessing the confidence level of the impact of the source point of an interference event on the logical position of secondary equipment in a dynamic topology coordinate system, the following are included:

[0093] Based on a preset confidence calculation model, the confidence level of the impact of the interference event source on the logical position of the secondary equipment is calculated.

[0094] The confidence level calculation model is as follows:

[0095]

[0096] in,

[0097]

[0098]

[0099] in, The Euclidean distance between the source of the interference event and the secondary device node. For reference distance, The attenuation coefficient is... This represents the maximum value of the sensitive frequency band for secondary equipment. This is the minimum value of the sensitive frequency band for secondary equipment. This represents the maximum value of the communication frequency band for secondary equipment. This is the minimum communication frequency band for secondary equipment. For interference spectrum power density, To measure the noise power, This is the noise power threshold.

[0100] More specifically, the revised rules are as follows:

[0101] when When this happens, initiate Level 1 correction: based on the stored historical trusted configuration version, perform a vote to overwrite the abnormal fields in the SCD file;

[0102] when At this time, initiate a secondary correction: dynamically switch communication protocols and prioritize the use of anti-interference transmission mode;

[0103] when At that time, a three-level correction is initiated: the "electromagnetic interference affected area" is marked on the topology diagram, and a device shielding command is generated.

[0104] Level 1 correction utilizes redundant information to correct potential, small-scale anomalies, aiming to restore data consistency and accuracy while avoiding excessive intervention. Level 2 correction directly acts on the communication transmission layer, attempting to ensure reliable transmission of critical data in interference environments, rather than simply correcting already received erroneous data. For highly suspicious cases, where data is likely severely distorted, Level 3 correction employs methods such as "marking the affected area" and "generating shielding instructions." This multi-layered defense and correction mechanism significantly improves the self-repair capability and resilience of the secondary equipment condition monitoring system and even the entire power grid topology awareness system in the face of strong electromagnetic interference. Even in harsh electromagnetic environments, the system can maintain or restore the accuracy of critical information as much as possible through different levels of correction, ensuring the basic monitoring functions of the power grid.

[0105] Among them, marking the affected area means issuing a clear risk warning to the operation and maintenance personnel or the upper-level system, indicating the area affected by severe interference; generating shielding instructions implies possible linkage control or protection suggestions, which aim to suppress interference from the source or path, such as suggesting strengthening the physical shielding of specific equipment or temporarily isolating related communication ports, which are deeper-level risk control measures.

[0106] More specifically, obtaining interference indication information from a primary device includes the following steps:

[0107] A wideband electromagnetic sensor array is deployed using a ring topology to cover the primary equipment switching operation area within a 5-meter radius of distributed energy equipment.

[0108] Real-time acquisition of time-domain pulse sequences and frequency-domain noise spectra generated by corona discharge during primary equipment switching operations;

[0109] Wavelet packet decomposition was performed on the time-domain pulse sequence to extract high-frequency components of 1-10MHz as feature fingerprints;

[0110] By associating the timing relationship between primary equipment switching operations and frequency domain noise spectra, an interference database is established.

[0111] By precisely matching the collected noise signals with known primary equipment switching operations in time, a direct correspondence between specific operations and specific interference signals is established. This verified correlation is systematically stored to form a knowledge base. In future use, it can quickly identify whether newly occurring interference belongs to a known switching operation type, providing a specific basis for subsequent assessment of the potential impact of this type of interference on secondary equipment.

[0112] More specifically, when establishing an interference database by relating the timing relationship between primary equipment switching operations and frequency domain noise spectra, the following content is included:

[0113] Acquire a device switch operation, which includes the device identifier, operation type, and operation timestamp.

[0114] In the frequency domain noise spectrum, acquire one or more frequency domain noise spectrum data corresponding to the timestamp of the operation;

[0115] The device identifier, operation type, operation timestamp, and frequency domain noise spectrum data are structured and correlated, and the output after structured correlation is taken as the interference record;

[0116] Interference records are stored in a pre-defined database to form an interference database.

[0117] By structurally associating specific device identifiers, operation types, and precise operation timestamps with frequency domain noise spectrum data collected at the same time, this method ensures that each stored "interference record" has a clear physical source and event background. Furthermore, each interference record not only includes the event background but also the actual frequency domain noise spectrum data generated by that event. This provides direct and quantitative data support for subsequent analysis of the specific characteristics of interference signals generated by different devices and operation types in the frequency domain, such as energy distribution, dominant frequency band, and harmonic components. The more data accumulated in the database, the clearer the "profile" of various types of interference becomes, making the analysis results easier to verify and reproduce.

[0118] More specifically, establishing a dynamic topology coordinate system that includes primary device nodes and secondary device nodes includes the following steps:

[0119] Obtain geographical information of distributed energy clusters, wiring diagrams of primary equipment, and communication network configuration data of secondary equipment to construct a multi-basic topology framework;

[0120] Starting from the grid connection point, the direction of voltage level increase is defined as the positive y-axis of the coordinate system, and one or more x-axis perpendicular to the y-axis are defined.

[0121] For any target primary device, generate the coordinates of the primary device nodes based on the basic topology framework, integrate the grid connection point with the coordinates of all primary device nodes, and establish multiple primary device topology chains;

[0122] Based on the primary equipment topology chain, identify the secondary equipment information associated with the primary equipment node, determine its position in the coordinate system according to the physical installation location information of the secondary equipment, and generate the secondary equipment node;

[0123] Monitor the operating status of the distributed energy system and establish a dynamic topological coordinate system that includes primary and secondary equipment nodes under the current state.

[0124] By integrating previously scattered data from different dimensions into a unified, spatially meaningful coordinate system, information silos are broken down, providing a basic framework for analyzing cross-domain issues. The actual electrical main wiring structure is accurately reproduced in the spatial coordinate system, directly mapping secondary equipment such as control, protection, and monitoring units to the primary equipment they serve or monitor in physical space. This constructs a highly integrated, spatially accurate, dynamic topological coordinate system that reflects electrical hierarchy and physical proximity relationships and can be updated in real time. This provides a dynamic spatial analysis basis for subsequent accurate assessment of the impact of physical interference generated at a specific location on other nearby equipment.

[0125] More specifically, when generating primary device node coordinates based on the basic topology framework, the following steps are included:

[0126] Calculate the y-axis coordinate of the target primary equipment component relative to the origin of the coordinate system, and determine its x-axis coordinate based on the relative position of the target primary equipment component in the same level of equipment.

[0127] The calculated y-axis and x-axis coordinates are assigned to the target primary device component, generating the primary device node coordinates in the basic topology framework.

[0128] More specifically, when monitoring the operating status of a distributed energy system, if the operating status of the distributed energy system changes, the affected electrical connection paths and equipment relationships are reassessed, and the coordinates of the affected primary equipment nodes and / or secondary equipment nodes in the coordinate system are updated.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for online monitoring of the status of secondary equipment, characterized in that: Using the grid connection point of the distributed energy cluster as the origin, a dynamic topology coordinate system including primary equipment nodes and secondary equipment nodes is established; interference indication information of the primary equipment is obtained, and the source point of the interference event that caused the interference is located based on the interference indication information; SCD files of the secondary equipment nodes and secondary equipment are obtained, and the logical position of the secondary equipment is determined based on the SCD files; the confidence level of the interference event source point affecting the logical position of the secondary equipment in the dynamic topology coordinate system is evaluated, and the evaluation process considers the correlation between the interference event source point and the secondary equipment node; If the confidence level is lower than the threshold, the SCD file is weighted and corrected according to a preset correction rule.

2. The online monitoring method for the status of secondary equipment according to claim 1, characterized in that, The process of determining the logical location of the secondary device based on the SCD file specifically includes the following steps: parsing the SCD file, traversing each smart electronic device, and extracting the IP address, communication parameters, and associated communication links of each smart electronic device; constructing a link topology diagram based on the communication parameters and communication links, and calculating the link weights; using a layout algorithm to convert the link topology diagram into logical coordinates, and mapping the logical coordinates to the dynamic topology coordinate system.

3. The online monitoring method for the status of secondary equipment according to claim 2, characterized in that, Constructing a link topology graph based on the communication parameters and communication links, and calculating link weights, specifically includes the following steps: creating nodes for the link topology graph based on the intelligent electronic device information and their network access points in the SCD file; identifying communication links between nodes based on the communication configuration analysis of the SCD file, and establishing edges for the topology graph accordingly; for each edge, extracting relevant communication parameters from the SCD file and quantizing them; calculating the weight of each edge based on a preset weight analysis model, comprehensively considering the quantized parameters, and assigning the calculation results to the corresponding edges, ultimately generating the link topology graph; the specific weight analysis model is shown in the following formula: in, For communication type weights, For communication cycle weights, This is a redundancy factor.

4. The online monitoring method for the status of secondary equipment according to claim 1, characterized in that, When evaluating the confidence level of the impact of the interference event source point on the logical position of the secondary device in the dynamic topological coordinate system, the following is specifically included: calculating the confidence level of the impact of the interference event source point on the logical position of the secondary device based on a preset confidence level calculation model; the confidence level calculation model is as follows: in, in, The Euclidean distance between the source of the interference event and the secondary device node. For reference distance, The attenuation coefficient is... This represents the maximum value of the sensitive frequency band for secondary equipment. This is the minimum value of the sensitive frequency band for secondary equipment. This represents the maximum value of the communication frequency band for secondary equipment. This is the minimum communication frequency band for secondary equipment. For interference spectrum power density, To measure the noise power, This is the noise power threshold.

5. The online monitoring method for the status of secondary equipment according to claim 4, characterized in that, The specific correction rule is: when When this happens, initiate Level 1 correction: based on the stored historical trusted configuration version, perform a voting-based overwrite of abnormal fields in the SCD file; when When this occurs, a secondary correction is initiated: the communication protocol is dynamically switched, prioritizing the use of anti-interference transmission mode; when At that time, a three-level correction is initiated: the "electromagnetic interference affected area" is marked on the topology diagram, and a device shielding command is generated.

6. The online monitoring method for the status of secondary equipment according to claim 1, characterized in that, The process of acquiring interference indication information for primary equipment includes the following steps: deploying a wideband electromagnetic sensor array using a ring topology to cover the primary equipment switching operation area within a 5-meter radius of the distributed energy equipment; real-time acquisition of the time-domain pulse sequence and frequency-domain noise spectrum generated by corona discharge during primary equipment switching operations; performing wavelet packet decomposition on the time-domain pulse sequence to extract 1-10MHz high-frequency components as feature fingerprints; and establishing an interference database by associating the time-series relationship between primary equipment switching operations and the frequency-domain noise spectrum.

7. The online monitoring method for the status of secondary equipment according to claim 6, characterized in that, When establishing an interference database by associating the timing relationship between primary device switching operations and frequency domain noise spectra, the specific content includes the following: A device switching operation is obtained, the device switching operation including a device identifier, operation type and operation occurrence timestamp; one or more frequency domain noise spectrum data corresponding to the operation occurrence timestamp are obtained from the frequency domain noise spectrum; The device identifier, operation type, operation timestamp, and frequency domain noise spectrum data are structurally correlated, and the output after structural correlation is taken as an interference record; the interference record is stored in a preset database to form an interference database.

8. The online monitoring method for the status of secondary equipment according to claim 1, characterized in that, The establishment of a dynamic topology coordinate system including primary and secondary equipment nodes specifically includes the following steps: acquiring the geographical information of the distributed energy cluster, the wiring diagram information of the primary equipment, and the communication network configuration data of the secondary equipment, and constructing a basic topology framework; starting from the grid connection point, defining the direction of voltage level increase as the positive y-axis of the coordinate system, and defining one or more x-axis perpendicular to the y-axis; for any target primary equipment, generating primary equipment node coordinates based on the basic topology framework, integrating the grid connection point with the coordinates of all primary equipment nodes, and establishing multiple primary equipment topology chains; based on the primary equipment topology chains, identifying the secondary equipment information associated with the primary equipment nodes, determining its position in the coordinate system according to the physical installation location information of the secondary equipment, and generating secondary equipment nodes; monitoring the operating status of the distributed energy system, and establishing a dynamic topology coordinate system including primary and secondary equipment nodes in the current state.

9. The online monitoring method for the status of secondary equipment according to claim 8, characterized in that, The process of generating primary device node coordinates based on the basic topology framework includes the following steps: calculating the y-axis coordinate of the target primary device element relative to the origin of the coordinate system, and determining its x-axis coordinate based on the relative position of the target primary device element in the same level of equipment; assigning the calculated y-axis coordinate and x-axis coordinate to the target primary device element, thereby generating primary device node coordinates in the basic topology framework.

10. The online monitoring method for the status of secondary equipment according to claim 9, characterized in that, When monitoring the operating status of a distributed energy system, if the operating status of the distributed energy system changes, the affected electrical connection paths and equipment relationships are reassessed, and the coordinates of the affected primary equipment nodes and / or secondary equipment nodes in the coordinate system are updated.

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