Auxiliary decision-making system and method for processing abnormal defects of transformer substation

Abstract

The invention discloses a substation abnormal defect processing auxiliary decision-making system and method. Relates to a power grid fault detection system and method. The invention relates to a transformer substation equipment monitoring system, and aims to overcome the problem that hidden dangers of equipment are difficult to find due to the fact that monitoring blank exists in existing equipment operation state monitoring, the system comprises an operation state acquisition unit used for acquiring actual state information of the transformer substation equipment; the equipment database is used for storing the normal state information of the substation equipment; abnormal state information of the substation equipment is identified; the expert database is used for storing expert data; analyzing the abnormal state information of the substation equipment based on expert data to obtain abnormal reason classification, abnormal reason analysis and abnormal grading, and generating a primary processing suggestion; and the decision report generation unit is used for outputting a decision report including the abnormal state information of the substation equipment, the influence caused by the abnormity, the classification of the abnormal reasons, the analysis of the abnormal reasons and the classification of the abnormal reasons based on a preset template.

Description

Technical Field

[0001] The invention relates to a power grid fault detection system and method. Background Art

[0002] At present, the power system is developing rapidly, and the scale of its power grid is constantly expanding. In order to ensure the safe and stable operation of the power grid, the number of substation equipment has increased dramatically. At the same time, the operation mode of the power system is also changing. With the continuous development of automation technology and communication technology, the operation and maintenance of substations has also changed from manned to unmanned. While the requirements for power grid automation are constantly increasing, higher requirements are also put forward for the efficiency of handling abnormal defects of power grid equipment.

[0003] Currently, there are only two ways to monitor the operating status of equipment: one is to detect the operating status of the substation through the monitoring center, and the other is through regular inspections by operation and maintenance personnel.

[0004] Both methods have their own advantages and inherent disadvantages.

[0005] First of all, the monitoring center cannot fully monitor the "sub-health" status of the equipment. Generally, more than 75% of the information reflected in the monitoring system is abnormal defect information that has affected normal operation. The "sub-health" status of primary and secondary electrical equipment is likely to develop into abnormal accidents in extreme weather and frequent changes in operating modes. Therefore, there is a gap in the monitoring of the "sub-health" status of equipment in the monitoring center's operating status detection work.

[0006] Secondly, the regular inspections of operation and maintenance personnel have problems with the inspection cycle. At present, the operation mode of substations is not static. The operating status of both primary and secondary equipment will change with the safe operation of the power grid. According to statistics, about 40% of abnormal accidents occur during or after the change of the equipment's operating status. Therefore, there is a gap in real-time monitoring of the equipment's operating status during regular inspections, which makes it difficult to find hidden equipment problems. Summary of the invention

[0007] The purpose of the present invention is to overcome the existing monitoring gaps in equipment operation status monitoring, which makes it difficult to find equipment hidden dangers, and to provide a substation abnormal defect processing auxiliary decision-making system and method.

[0008] The present invention provides a substation abnormal defect processing auxiliary decision-making system, comprising an operation status acquisition unit, an equipment database, an expert database, and a decision report generation unit;

[0009] Operation status collection unit, used to collect actual status information of substation equipment;

[0010] The actual status information of the substation equipment includes the video surveillance images in the substation, the operation mode of the primary and secondary systems, and the equipment operation status of the primary and secondary systems;

[0011] The equipment database is used to store the normal status information of the substation equipment; and compare the actual status information of the substation equipment with the normal status information of the substation equipment to identify the abnormal status information of the substation equipment;

[0012] The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment;

[0013] An expert database is used to store expert data; based on the expert data, the abnormal status information of the substation equipment is analyzed to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions;

[0014] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0015] The decision report generation unit is used to output a decision report including abnormal status information of substation equipment, impact caused by the abnormality, abnormal cause classification, abnormal cause analysis and abnormal cause classification based on a preset template.

[0016] Furthermore, the operation status acquisition unit includes:

[0017] Image information acquisition module, used to collect video surveillance images in the substation;

[0018] System operation mode collection module, used to collect the operation modes of the primary system and the secondary system;

[0019] The equipment operation status collection module is used to collect the equipment operation status of the primary system and the secondary system.

[0020] Furthermore, the device database includes:

[0021] A system structure storage module is used to store the structure information of the substation system;

[0022] An operation characteristic storage module, used for storing the operation characteristics of substation equipment;

[0023] Equipment characteristics storage module, used to store equipment characteristics of substation equipment;

[0024] The state comparison module is used to compare the actual state information of the substation equipment with the normal state information of the substation equipment to obtain the abnormal state information of the substation equipment and the impact of the abnormal state on the substation equipment.

[0025] Furthermore, the expert database includes:

[0026] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0027] An operation rule storage module is used to store the operation rules of the substation system;

[0028] A logical relationship storage module is used to store the logical relationship between substation equipment;

[0029] Equipment structure storage module, used to store the primary equipment and secondary equipment structure of the substation;

[0030] Operation principle storage module, used to store the operation principles of primary and secondary equipment of substation;

[0031] The abnormal impact storage module is used to store the impact and impact range caused by abnormalities of substation equipment;

[0032] A preliminary suggestion storage module is used to store preliminary processing suggestions corresponding to abnormalities of substation equipment;

[0033] The abnormal qualitative module is used to analyze the abnormal status information of substation equipment based on expert data to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions.

[0034] Furthermore, the decision report generating unit also includes:

[0035] The grading module is used to sort the abnormal grades according to the preset rules.

[0036] The present invention also provides a substation abnormal defect processing auxiliary decision-making method, the steps are as follows:

[0037] Collect actual status information of substation equipment;

[0038] The actual status information of the substation equipment includes the video surveillance images in the substation, the operation mode of the primary and secondary systems, and the equipment operation status of the primary and secondary systems;

[0039] Compare the actual status information of the substation equipment with the normal status information of the substation equipment to identify abnormal status information of the substation equipment;

[0040] The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment;

[0041] Based on expert data, analyze the abnormal status information of substation equipment to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions;

[0042] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0043] Based on the preset template, the output includes abnormal status information of substation equipment, impact caused by the abnormality, classification of abnormal causes, analysis of abnormal causes and decision reports on abnormal causes classification.

[0044] Furthermore, the method further comprises the following steps:

[0045] The abnormal classification is sorted according to the preset rules.

[0046] The beneficial effects of the present invention are:

[0047] The substation abnormal defect processing auxiliary decision-making system and method of the present invention can monitor the equipment operation status information in all directions and all time periods, and store, analyze and compare the monitoring information, so as to discover the hidden dangers and defects of power grid equipment in advance, reduce the occurrence of events that develop into power grid equipment accidents due to hidden dangers and defects, and improve the health level of power grid equipment; reduce the abnormal operation time of power grid equipment caused by abnormal defects, improve the efficiency of abnormal defect processing, and improve the safe and stable operation level of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a structural schematic diagram of the auxiliary decision-making system for handling abnormal defects of substations of the present invention;

[0049] Figure 2 The present invention is a flowchart of the auxiliary decision-making method for handling abnormal defects in a substation. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention. Specific implementation method 1

[0054] The substation abnormal defect processing auxiliary decision-making system of this embodiment includes an operation status acquisition unit 1, an equipment database 2, an expert database 3, and a decision report generation unit 4;

[0055] Operation status collection unit 1, used to collect actual status information of substation equipment;

[0056] The actual status information of the substation equipment includes the video surveillance images in the substation, the operation mode of the primary and secondary systems, and the equipment operation status of the primary and secondary systems;

[0057] Equipment database 2, used to store normal status information of substation equipment; and compare the actual status information of substation equipment with the normal status information of substation equipment to identify abnormal status information of substation equipment;

[0058] The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment;

[0059] Expert database 3, used to store expert data; and based on the expert data, analyze the abnormal status information of the substation equipment to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions;

[0060] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0061] The decision report generating unit 4 is used to output a decision report including abnormal status information of substation equipment, impact caused by the abnormality, abnormal cause classification, abnormal cause analysis and abnormal cause classification based on a preset template.

[0062] Specifically, Figures 1-2 As shown, the system composition of this embodiment includes: an operation status acquisition unit 1, an equipment database 2, an expert database 3, and a decision report generation unit 4. Through data acquisition, data comparison, and data analysis, auxiliary decision-making for abnormal defect handling is completed. The function is to centrally collect substation operation status information, and use artificial intelligence analysis methods to quickly and accurately characterize and locate abnormal defects, thereby accelerating the efficiency of abnormal defect handling.

[0063] The system of this embodiment can not only comprehensively collect the substation operation status data, but also quickly locate and characterize abnormal defects based on the data in the equipment database 2 through the intelligent analysis system relying on the zoning and segmentation elimination method, the same type and same condition comparison method and other intelligent analysis functions. According to the expert database 3, the human-computer dialogue system provides an abnormal defect report containing information such as the nature of the defect, the location of occurrence, and treatment opinions, thereby accelerating the efficiency of abnormal defect handling and improving the safety and stability of the power system.

[0064] The auxiliary decision report finally formed by the system of this embodiment includes abnormal information, possible impact, defect abnormal cause classification and defect abnormal cause analysis, and system analysis results. The analysis results are divided into three levels, and the levels are determined by the decision report generation unit 4 based on the data collected in real time by the operation status collection unit 1 and the abnormal defect processing formed according to the expert database 3. The defect cause search priority is divided from level I to level III, level I is the most likely cause, and level III is the least likely cause. Specific implementation method 2

[0066] This embodiment is a further explanation of the first embodiment. In this embodiment, the operation status acquisition unit 1 includes:

[0067] Image information acquisition module 1-1, used to collect video surveillance images in the substation;

[0068] System operation mode acquisition module 1-2, used to acquire the operation modes of the primary system and the secondary system;

[0069] The equipment operation status collection module 1-3 is used to collect the equipment operation status of the primary system and the secondary system.

[0070] The other technical features of this embodiment are exactly the same as those of the first embodiment.

[0071] Specifically, the operation status acquisition unit 1 collects data from the image monitoring system, power quality monitoring system, and various measurement and control devices of the secondary system equipment in the station, which should include but not be limited to image information such as video monitoring in the substation, the operation mode of the primary and secondary systems, the operation status of the primary and secondary system equipment, the physical structure status, operation position status, electrical quantity status, thermal imaging status, etc. of the substation equipment, covering all equipment status information in the substation. The main function is to realize the all-round real-time acquisition of the substation equipment status. Specific implementation method three

[0073] This embodiment is a further description of the first embodiment. In this embodiment, the device database 2 includes:

[0074] System structure storage module 2-1, used to store the structure information of the substation system;

[0075] Operation characteristic storage module 2-2, used to store the operation characteristics of substation equipment;

[0076] Equipment characteristics storage module 2-3, used to store equipment characteristics of substation equipment;

[0077] The state comparison module 2-4 is used to compare the actual state information of the substation equipment with the normal state information of the substation equipment to obtain the abnormal state information of the substation equipment and the impact of the abnormal state on the substation equipment.

[0078] The other technical features of this embodiment are exactly the same as those of the first embodiment.

[0079] Specifically, the equipment database 2 integrates the relevant data such as the operating characteristics, operating principles, and alarm mechanisms of the equipment to be monitored in the substation, and establishes a database for comparing the operating status data collected by the data acquisition system. The equipment database 2 is established according to the system structure, operating characteristics, and equipment characteristics. The equipment operating status is judged according to the database to determine whether it meets the normal operating status standard of the equipment. It is judged whether the equipment operating status meets the safe operating status standard, and the numerical range of normal operation and the impact of abnormal status on the operating status of substation equipment are defined. Specific implementation method four

[0081] This embodiment is a further explanation of the first embodiment. In this embodiment, the expert database 3 includes:

[0082] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0083] Operation rule storage module 3-1, used to store the operation rule of the substation system;

[0084] Logical relationship storage module 3-2, used to store logical relationships between substation equipment;

[0085] Equipment structure storage module 3-3, used to store the primary equipment and secondary equipment structure of the substation;

[0086] Operation principle storage module 3-4, used to store the operation principle of primary and secondary equipment of the substation;

[0087] The abnormal impact storage module 3-5 is used to store the impact and impact range caused by the abnormality of the substation equipment;

[0088] A preliminary suggestion storage module 3-6 is used to store preliminary processing suggestions corresponding to abnormalities of substation equipment;

[0089] The abnormality qualitative module 3-7 is used to analyze the abnormal status information of the substation equipment based on expert data to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions.

[0090] The other technical features of this embodiment are exactly the same as those of the first embodiment.

[0091] Specifically, the expert database 3 will characterize the nature of abnormal defects, determine the impact range of abnormal defects, and provide pre-processing solutions based on the operating rules of the substation system, the logical relationship between substation equipment, the structure of primary and secondary equipment in the substation and its operating principle.

[0092] More precisely, professionals classify and characterize the abnormal defects of each device based on the nature and principle of the monitored equipment, the operating principle of the substation, the logical relationship between the equipment, the electrical connection, the scope of impact of the abnormal defects of the equipment and the possible consequences. According to the actual operating status of the equipment and the relevant regulations of the equipment operation management, the causes of the abnormal defects are analyzed and guiding (preliminary) treatment suggestions are determined. Specific implementation method five

[0094] This embodiment is a further explanation of the fourth embodiment. In this embodiment, the decision report generating unit 4 further includes:

[0095] The level sorting module 4-1 is used to sort the abnormal levels according to a preset rule.

[0096] The other technical features of this embodiment are exactly the same as those of embodiment 4.

[0097] Specifically, the decision report generating unit 4 compares the substation operation status data collected by the operation status collecting unit 1 with the equipment database 2, and determines whether the equipment has an abnormal defect state according to the database judgment standard. If an abnormal defect exists, the expert database 3 is relied on to analyze, sort and summarize the data to finally form an abnormal defect report containing information such as the nature of the defect, the location of occurrence, and treatment opinions, so as to provide auxiliary decision-making for the abnormal defect handling work and form an auxiliary decision-making report, as shown in the following table.

[0098] Decision support report

[0099]

[0100]

[0101] Specific implementation method 6

[0103] The auxiliary decision-making method for handling abnormal defects of substations in this embodiment has the following steps:

[0104] Collect actual status information of substation equipment;

[0105] The actual status information of the substation equipment includes the video surveillance images in the substation, the operation mode of the primary and secondary systems, and the equipment operation status of the primary and secondary systems;

[0106] Compare the actual status information of the substation equipment with the normal status information of the substation equipment to identify abnormal status information of the substation equipment;

[0107] The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment;

[0108] Based on expert data, analyze the abnormal status information of substation equipment to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions;

[0109] Expert data includes substation system operation rules, logical relationships between substation equipment, substation primary and secondary equipment structures, substation primary and secondary equipment operation principles, and the impact and scope of abnormalities;

[0110] Based on the preset template, the output includes abnormal status information of substation equipment, impact caused by the abnormality, classification of abnormal causes, analysis of abnormal causes and decision reports on abnormal causes classification. Specific implementation method seven

[0112] This embodiment is a further description of the sixth embodiment. In this embodiment, the following steps are also included:

[0113] The abnormal classification is sorted according to the preset rules.

[0114] The other technical features of this embodiment are exactly the same as those of embodiment six.

[0115] The present invention combines an operation status acquisition unit 1, an equipment database 2, an expert database 3, and a decision report generation unit 4, which not only collects the operation status data of all substation equipment, but also provides auxiliary decision-making for the abnormal defect processing of substation equipment through artificial intelligence analysis based on the expert database 3. Not only can the full acquisition of the substation operation status be achieved, the purpose of discovering equipment hidden dangers in advance is achieved, but also the speed of handling abnormal defects in the substation is improved, the response speed of the power grid when an abnormality occurs is improved, the abnormal operation time of the power grid equipment is greatly shortened, and the safe and stable operation capability of the power grid is improved. At the same time, since more accurate abnormal defect qualitative and positioning work can be performed, the manual maintenance cost can be greatly reduced.

[0116] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the features of the various dependent claims and herein may be combined in a manner different from that described in the original claims. It should also be understood that the features described in conjunction with the individual embodiments may be used in other embodiments.

Claims

1. Substation abnormal defect processing auxiliary decision-making system, characterized by: It includes an operation status collection unit (1), an equipment database (2), an expert database (3), and a decision report generation unit (4); The operation status acquisition unit (1) is used to acquire actual status information of substation equipment; The actual status information of the substation equipment includes video surveillance images in the substation, operation modes of the primary system and the secondary system, and equipment operation status of the primary system and the secondary system; The equipment database (2) is used to store normal status information of substation equipment; and compare the actual status information of the substation equipment with the normal status information of the substation equipment to identify abnormal status information of the substation equipment; The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment; The expert database (3) is used to store expert data; and based on the expert data, analyze the abnormal status information of the substation equipment to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions; The expert data includes the operating rules of the substation system, the logical relationship between substation equipment, the structure of substation primary and secondary equipment, the operating principle of substation primary and secondary equipment, and the impact and scope of abnormality; The decision report generating unit (4) is used to output a decision report including abnormal status information of substation equipment, impact caused by the abnormality, abnormal cause classification, abnormal cause analysis and abnormal cause classification based on a preset template.

2. The substation abnormal defect processing auxiliary decision-making system according to claim 1 is characterized in that: The operation status acquisition unit (1) comprises: An image information acquisition module (1-1), used for acquiring video surveillance images in a substation; The system operation mode acquisition module (1-2) is used to acquire the operation modes of the primary system and the secondary system; The equipment operation status acquisition module (1-3) is used to acquire the equipment operation status of the primary system and the secondary system.

3. The substation abnormal defect processing auxiliary decision-making system according to claim 1 is characterized in that: The equipment database (2) includes: A system structure storage module (2-1), used for storing the structure information of the substation system; An operation characteristic storage module (2-2), used for storing the operation characteristics of the substation equipment; An equipment characteristics storage module (2-3) for storing equipment characteristics of substation equipment; The state comparison module (2-4) is used to compare the actual state information of the substation equipment with the normal state information of the substation equipment to obtain abnormal state information of the substation equipment and the impact of the abnormal state on the substation equipment.

4. The substation abnormal defect processing auxiliary decision-making system according to claim 1 is characterized in that: Expert database (3) includes: The expert data includes the operating rules of the substation system, the logical relationship between substation equipment, the structure of substation primary and secondary equipment, the operating principle of substation primary and secondary equipment, and the impact and scope of abnormality; An operation rule storage module (3-1) is used to store the operation rule of the substation system; A logic relationship storage module (3-2), used for storing the logic relationship between substation equipment; The equipment structure storage module (3-3) is used to store the primary equipment and secondary equipment structure of the substation; An operation principle storage module (3-4) is used to store the operation principles of the primary and secondary equipment of the substation; The abnormal impact storage module (3-5) is used to store the impact and impact range caused by the abnormality of the substation equipment; A preliminary suggestion storage module (3-6) is used to store preliminary processing suggestions corresponding to abnormalities of substation equipment; The abnormality qualitative module (3-7) is used to analyze the abnormal status information of the substation equipment based on expert data to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions.

5. The substation abnormal defect processing auxiliary decision-making system according to claim 4 is characterized in that: The decision report generating unit (4) further comprises: The grading module (4-1) is used to sort the abnormal grades according to a preset rule.

6. A method for assisting decision-making in handling abnormal defects in a substation, characterized in that: Here are the steps: Collect actual status information of substation equipment; The actual status information of the substation equipment includes video surveillance images in the substation, operation modes of the primary system and the secondary system, and equipment operation status of the primary system and the secondary system; Comparing the actual status information of the substation equipment with the normal status information of the substation equipment, and identifying abnormal status information of the substation equipment; The normal status information of the substation equipment includes the structural information of the substation system, the operating characteristics of the substation equipment and the equipment characteristics of the substation equipment; Based on expert data, analyze the abnormal status information of substation equipment to obtain abnormal cause classification, abnormal cause analysis, abnormal classification, and generate preliminary processing suggestions; The expert data includes the operating rules of the substation system, the logical relationship between substation equipment, the structure of substation primary and secondary equipment, the operating principle of substation primary and secondary equipment, and the impact and scope of abnormality; Based on the preset template, the output includes abnormal status information of substation equipment, impact caused by the abnormality, classification of abnormal causes, analysis of abnormal causes and decision reports on abnormal causes classification.

7. The auxiliary decision-making method for handling abnormal defects of substations according to claim 6 is characterized in that: The following steps are also included: The abnormal classification is sorted according to the preset rules.

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