An intelligent substation operation status monitoring method and system based on digital twin

Abstract

The present invention discloses an intelligent substation operation status monitoring method and system based on digital twin, which relates to the technical field of status monitoring. The present invention includes: Step 1. Acquisition of substation environmental data, Step 2. Prediction of substation digital twin model, and Step 3. Substation threat monitoring and processing. By performing digital modeling, the present invention determines whether the contamination on each insulator belonging to the substation can be washed away after rainfall scouring. If it cannot be washed clean, it analyzes and judges the conductive layer formed by the contamination on each insulator belonging to the substation, so as to better perform safety prediction on each insulator belonging to the substation. By judging whether there is a flashover hazard on each insulator belonging to the substation, when there is a flashover hazard, drones are dispatched in advance for cleaning, which can ensure the safety of the substation. When there is no flashover hazard, the contamination is washed away by natural rainfall, thereby reducing the operation cost of the substation.

Description

Technical Field

[0001] The present invention relates to the technical field of condition monitoring, and particularly to an intelligent substation operation condition monitoring method and system based on digital twin. Background Art

[0002] The insulators of a substation are devices installed between conductors at different potentials or between conductors and grounding components, which can withstand voltage and mechanical stress. Currently, most of the monitoring methods for insulators adopt regular manual inspections or fixed camera monitoring, which cannot quantify the degree of fouling in real time, resulting in the inability to accurately predict the risk of flashover. Digital twin technology can effectively simulate the state of insulators based on the monitoring results. Therefore, it is necessary to monitor the state of insulators in a substation through digital twin technology.

[0003] The prior art, such as the invention patent application with publication number CN118552186B, discloses a substation operation and maintenance management system and method based on digital twin. The method includes: being able to compare the vibration signal waveform semantics of a power transformer with the normal vibration mode during normal operation to identify potential faults of the power transformer, realizing real-time monitoring and accurate diagnosis of the operation state of the power transformer, so as to be able to take preventive or maintenance measures early when potential problems and fault hazards are found, and improving the reliability and safety of the equipment. The prior art, such as the invention patent application with publication number CN119128792A, discloses a substation operation condition monitoring method, device, electronic device and storage medium. The method includes: this application has the advantages of more accurate monitoring results of the operation state of the substation and being able to meet complex working conditions.

[0004] In view of the above solutions, the current substation operation condition monitoring methods lack due attention to the comprehensive analysis of the decontamination of the contamination on the insulators by rainfall and the possible flashover problems. Substations are often built in the wild and outdoors, so the insulators of substations are easily contaminated by bird droppings, dust, etc. These contaminations have little impact on the insulators when dry, but when it rains, due to water absorption and moisture, a water film will form under the contamination, thus forming a conductive layer. When the current passing through the insulator is relatively large, this part of the conductive layer is likely to cause the insulator to be broken down, thus endangering the safety of the substation. However, when the insulator is not broken down, the impact force generated by rainfall can also effectively remove the contamination, which can greatly reduce the use of live water during cleaning. If live water cleaning is carried out before each rainfall, it will increase the cost of the substation. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent substation operation condition monitoring method and system based on digital twin, which solves the problems existing in the background art.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect of the present invention, a method for monitoring the operating state of an intelligent substation based on digital twin is provided, including: Step 1. Acquisition of substation environmental data: Obtain the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period.

[0007] Step 2. Prediction of the substation digital twin model: Dispatch drones to perform surface scanning on each insulator belonging to the substation, so as to obtain the surface modeling of each insulator belonging to the substation at the current monitoring time point, and analyze the thickness value of the conductive layer formed by the contamination modeling of each insulator belonging to the substation.

[0008] Step 3. Substation threat monitoring and handling: Judge whether there is a flashover hazard for each insulator belonging to the substation, so as to screen out the flashover hazard insulators belonging to the substation, and dispatch drones through the substation terminal for flushing operations.

[0009] In the second aspect of the present invention, an operating monitoring system for executing the method for monitoring the operating state of an intelligent substation based on digital twin is provided, including: a substation environmental data acquisition module for obtaining the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period.

[0010] A substation digital twin model prediction module for dispatching drones to perform surface scanning on each insulator belonging to the substation, so as to obtain the surface modeling of each insulator belonging to the substation at the current monitoring time point, and analyze the thickness value of the conductive layer formed by the contamination modeling of each insulator belonging to the substation.

[0011] A substation threat monitoring and handling module for judging whether there is a flashover hazard for each insulator belonging to the substation, so as to screen out the flashover hazard insulators belonging to the substation, and dispatch drones through the substation terminal for flushing operations.

[0012] The beneficial effects of the present invention are as follows: (1) In Step 1. Acquisition of substation environmental data of the present invention, by obtaining the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period, it is convenient for subsequent analysis.

[0013] (2) In Step 2. Prediction of the substation digital twin model of the present invention, through digital modeling, the environmental contact outer surface and its characteristic points of the contamination modeling of each insulator belonging to the substation are obtained, and according to each rainfall data, it is judged whether the contamination of each insulator belonging to the substation can be washed away after rainfall scouring. If it cannot be washed clean, then the conductive layer formed by the contamination of each insulator belonging to the substation is analyzed and judged, so as to better perform safety prediction on each insulator belonging to the substation.

[0014] (3) Step 3 of the present invention: Substation threat monitoring and handling. By judging whether there is a flashover hazard for each insulator in the substation, when there is a flashover hazard, drones are dispatched in advance for cleaning to ensure the safety of the substation. When there is no flashover hazard, natural rainfall is used to wash away the contamination, thereby reducing the operating cost of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic flowchart of the method of the present invention.

[0017] Figure 2 It is a schematic diagram of the system module of the present invention.

[0018] Figure 3 It is a schematic cross-sectional view of the relationship between the surface of the insulator and the contamination of the present invention.

[0019] Reference numerals: 1. The perpendicular line and its direction of the tangent line of the feature point of the environmental contact outer surface for contamination modeling; 2. The tangent line of the feature point of the environmental contact outer surface for contamination modeling; 3. The wind direction; 4. The insulator; 5. The environmental contact outer surface for contamination modeling; 6. The feature point of the environmental contact outer surface for contamination modeling. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Refer to Figure 1 As shown, the first aspect of the present invention provides an intelligent substation operation status monitoring method based on digital twin, including: Step 1. Substation environmental data acquisition: Obtain the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period.

[0022] In a specific embodiment, the method for obtaining the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period is: Obtain the estimated rainfall, wind direction, and wind speed values of the substation from the meteorological management platform.

[0023] Step 1. Acquisition of substation environmental data: By obtaining the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period, subsequent analysis is facilitated.

[0024] Step 2. Prediction of the substation digital twin model: Dispatch drones to perform surface scanning on each insulator belonging to the substation, thereby obtaining the surface modeling of each insulator belonging to the substation at the current monitoring time point, and analyzing the thickness value of the conductive layer formed by the contamination modeling of each insulator belonging to the substation.

[0025] It should be noted that the insulators include: suspension insulators, post insulators, composite insulators, and other insulators.

[0026] In a specific embodiment of the present invention, for the analysis of the thickness value of the conductive layer formed by the contamination modeling of each insulator belonging to the substation, the specific analysis method is as follows: Obtain the initial surface modeling of each insulator belonging to the substation from the local database. Based on the surface modeling of each insulator belonging to the substation, subtract the initial surface modeling of each insulator belonging to the substation to obtain the contamination modeling and its volume value of each insulator belonging to the substation, and obtain the environmental contact outer surface and its characteristic points of the contamination modeling of each insulator belonging to the substation.

[0027] It should be noted that the local database is used to store the initial surface modeling of each insulator belonging to the substation, the comparison angle threshold, the estimated initial impact force in each rainfall interval, the estimated additional impact force in each wind speed value interval, the removal contamination volume value corresponding to each total estimated rain impact force interval, the humidity value corresponding to each rainfall interval, the conductive layer thickness value corresponding to each humidity value interval and each estimated remaining volume value interval, the conductive hazard coefficient threshold, the suitable service life of each insulator belonging to the substation, the current service life, and the allowable leakage current corresponding to each current service life interval, the maximum instantaneous current of each insulator belonging to the substation in each corresponding historical monitoring period, the current safety margin ratio value corresponding to each aging hazard coefficient interval, the safe instantaneous current value corresponding to each conductive layer thickness value interval, and the required live water flushing volume corresponding to each contamination modeling total volume value interval.

[0028] According to the wind direction of the substation during the monitoring period, screen the rain impact characteristic points of the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation.

[0029] According to the estimated rainfall and wind speed values of the substation during the monitoring period, analyze the estimated remaining volume value of the contamination modeling of each insulator belonging to the substation, and calculate the thickness value of the conductive layer formed by the contamination modeling of each insulator belonging to the substation accordingly.

[0030] In a specific embodiment, the method for obtaining the contamination models and volume values of each insulator belonging to the substation is as follows: After subtracting the initial surface model from the surface models of each insulator belonging to the substation, the remaining non - contacting models are marked as the contamination models of each insulator belonging to the substation, and the volume values of the contamination models of each insulator belonging to the substation are obtained through existing model volume calculation methods.

[0031] In a specific embodiment, the method for obtaining the environmental contact outer surface and its characteristic points of each contamination model of each insulator belonging to the substation is as follows: Refer to Figure 3 As shown, the environmental contact outer surface of each contamination model of each insulator belonging to the substation is the general term for the surfaces in contact with the environment of each contamination model, and each pixel point on the environmental contact outer surface of each contamination model of each insulator belonging to the substation is used as a characteristic point.

[0032] In a specific embodiment of the present invention, the method for screening the rain impact characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation is as follows: Refer to Figure 3 As shown, surface tangent plotting is performed on the characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation, so as to obtain the tangents of the characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation. A vertical line is made according to the characteristic points on the tangent line, and the direction of the vertical line pointing towards the inside of the contamination model is used as the direction of the vertical line, so as to obtain the direction of the vertical line of the tangent of the characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation.

[0033] It should be noted that the vertical line of the tangent of the characteristic points on the environmental contact outer surface of the contamination model is in the same plane as the wind direction of the substation during the monitoring period.

[0034] According to the wind direction of the substation during the monitoring period, calculate the included angle between the direction of the vertical line of the tangent of the characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation and the wind direction, and mark it as the comparison included angle of the characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation.

[0035] Obtain the comparison included - angle threshold from the local database. If the comparison included angle of a certain characteristic point on the environmental contact outer surface of a certain contamination model of a certain insulator belonging to the substation is less than the comparison included - angle threshold, then mark this characteristic point as a rain impact characteristic point, so as to screen the rain impact characteristic points on the environmental contact outer surface of each contamination model of each insulator belonging to the substation.

[0036] In a specific embodiment of the present invention, the predicted remaining volume values of the contamination models of each insulator belonging to the analysis substation are analyzed as follows: Based on the comparison angles of the characteristic points on the environmental contact outer surface of the contamination models of each insulator belonging to the substation, the comparison angle a of the rain impact characteristic points on the environmental contact outer surface of the contamination models of each insulator belonging to the substation is extracted xni , where x represents the number of each insulator, x = 1, 2,..., y, y is a positive integer greater than 2, n represents the number of each contamination model, n = 1, 2,..., m, m is a positive integer greater than 2, and i represents the number of each rain impact characteristic point, i = 1, 2,..., j, j is a positive integer greater than 2.

[0037] Obtain the predicted initial impact force in each rainfall interval and the predicted increased impact force in each wind speed value interval from the local database. Based on the predicted rainfall and wind speed values of the substation during the monitoring period, map to obtain the predicted initial impact force A and the predicted increased impact force B of the substation during the monitoring period, and calculate the total predicted rain impact force of the contamination models of each insulator belonging to the substation

[0038] It should be noted that the greater the rainfall, the corresponding predicted initial impact force, and the greater the wind speed value, the corresponding predicted increased impact force. The greater the rainfall indicates that more raindrops fall in the same time period, resulting in a greater impact on the contamination, and the wind speed will additionally increase the speed value of the raindrops, thus generating an additional impact force. Therefore, the greater the wind speed, the greater the predicted increased impact.

[0039] Obtain the contamination removal volume values corresponding to each total predicted rain impact force interval from the local database, and map to obtain the contamination removal volume values b of the contamination models of each insulator belonging to the substation xn , based on the volume values c of the contamination models of each insulator belonging to the substation xn , calculate the predicted remaining volume values of the contamination models of each insulator belonging to the substation

[0040]

[0041] It should be noted that the greater the total predicted rain impact force, the greater the corresponding contamination removal volume value. This data can be obtained by simulating the volume reduction of the contamination model after the rain impact force in different situations after modeling, and using it as the contamination removal volume value.

[0042] In a specific embodiment of the present invention, the method for calculating the thickness value of the conductive layer formed by predicting the contamination models of each insulator belonging to the substation is as follows: Obtain the humidity values corresponding to each rainfall interval from the local database, and based on the predicted rainfall of the substation during the monitoring period, map to obtain the humidity value of the substation during the monitoring period.

[0043] It should be noted that the greater the rainfall, the greater the corresponding humidity value.

[0044] Obtain the conductive layer thickness values corresponding to each humidity value interval and each estimated remaining volume value interval from the local database, and map to obtain the conductive layer thickness values formed by each contamination modeling of each insulator belonging to the substation based on the estimated remaining volume values of each contamination modeling of each insulator belonging to the substation.

[0045] It should be noted that the greater the humidity value, the greater the corresponding conductive layer thickness value, and the greater the estimated remaining volume value, the greater the corresponding conductive layer thickness value. The flashover problem is mainly due to the ionic conduction after the contamination dissolves, and the greater the humidity value, the easier it is for the contamination to dissolve, thus forming a water film, resulting in a greater conductive layer thickness value. The greater the estimated remaining volume value indicates more contamination, and the more that can be dissolved, the greater the conductive layer thickness value. This data can be obtained through virtual modeling simulation.

[0046] Step 2. Prediction of the substation digital twin model of the present invention. Through digital modeling, obtain the environmental contact outer surfaces and their respective characteristic points of each contamination modeling of each insulator belonging to the substation, and based on each rainfall data, judge whether the contamination of each insulator belonging to the substation can be washed away after rainfall scouring. If it cannot be washed clean, then analyze and judge the conductive layer formed by the contamination of each insulator belonging to the substation, so as to better conduct safety prediction on each insulator belonging to the substation.

[0047] Step 3. Substation threat monitoring and handling: Judge whether there is a flashover hazard for each insulator belonging to the substation, thereby screening out each flashover hazard insulator belonging to the substation, and dispatching an unmanned aerial vehicle through the substation terminal for flushing operation.

[0048] In a specific embodiment of the present invention, the method for judging whether there is a flashover hazard for each insulator belonging to the substation is as follows: Obtain the leakage current of each insulator belonging to the substation at the current monitoring time point, and analyze the aging hazard coefficient of each insulator belonging to the substation.

[0049] Based on the aging hazard coefficient of each insulator belonging to the substation and the conductive layer thickness value formed by each contamination modeling estimation, calculate the conductive hazard coefficient of each insulator belonging to the substation.

[0050] Obtain the conductive hazard coefficient threshold from the local database. If the conductive hazard coefficient of a certain insulator belonging to the substation is greater than the conductive hazard coefficient threshold, then judge that there is a flashover hazard for the insulator belonging to the substation.

[0051] In a specific embodiment, the method for obtaining the leakage current of each insulator belonging to the substation at the current monitoring time point is as follows: Obtain the leakage current of each insulator belonging to the substation at the current monitoring time point from the current sensor.

[0052] In a specific embodiment of the present invention, the method for analyzing the aging hazard coefficient of each insulator belonging to the substation is as follows: Obtain the suitable service life f of each insulator belonging to the substation from the local database x , the current service life g x and the allowable leakage current corresponding to each current service life interval, and map to obtain the allowable leakage current h of each insulator belonging to the substation x , and based on the leakage current k of each insulator belonging to the substation x , calculate the aging hazard coefficient of each insulator belonging to the substation where e represents the natural constant.

[0053] It should be noted that the longer the current service life, the smaller the corresponding allowable leakage current. As the service life of the insulator increases, the internal resistance often further increases, resulting in a decrease in the allowable leakage current. This data can be obtained through aging experiments on the insulator.

[0054] In a specific embodiment of the present invention, the method for calculating the conduction hazard coefficient of each insulator belonging to the substation is as follows: Obtain the maximum instantaneous current of each insulator belonging to the substation in each corresponding historical monitoring time period from the local database, extract the maximum maximum instantaneous current from each corresponding historical monitoring time period of each insulator belonging to the substation, and mark it as the historical instantaneous current maximum r of each insulator belonging to the substation x .

[0055] It should be noted that for each corresponding historical monitoring time period, if the monitoring time period is the whole day of March 1st, then each corresponding historical monitoring time period is February 1st, January 1st, and so on.

[0056] Obtain the current safety margin ratio value corresponding to each aging hazard coefficient interval from the local database, and map to obtain the current safety margin ratio value s of each insulator belonging to the substation based on the aging hazard coefficient of each insulator belonging to the substation x .

[0057] It should be noted that the greater the aging hazard coefficient, the greater the corresponding current safety margin ratio value. The greater the aging hazard coefficient, the greater the fluctuation of the current passing through the insulator. Therefore, a safety margin needs to be reserved, and this data can be set by the staff according to the actual situation.

[0058] Obtain the safety instantaneous current values corresponding to the thickness value ranges of each conductive layer from the local database. Based on the thickness values of the conductive layers formed by estimating each contamination modeling of each insulator belonging to the substation, map to obtain the safety instantaneous current values of each contamination modeling of each insulator belonging to the substation, and extract the maximum safety instantaneous current value as the target safety instantaneous current value w of each insulator belonging to the substation x 。

[0059] It should be noted that the larger the thickness value of the conductive layer, the smaller the corresponding safety instantaneous current value. When the thickness value of the conductive layer is larger and the instantaneous current value passing through the insulator is larger, the possibility of breaking down the insulator is greater. Therefore, the safety instantaneous current value for comparison is inversely proportional to the thickness value of the conductive layer.

[0060] Calculate the conduction hazard coefficient of each insulator belonging to the substation

[0061] In a specific embodiment of the present invention, the operation method of dispatching the unmanned aerial vehicle for flushing is as follows: According to the volume values of each contamination modeling of each insulator belonging to the substation, extract the volume values of each contamination modeling of each flashover-hazardous insulator belonging to the substation, and add and statistically obtain the total volume value of the contamination modeling of each flashover-hazardous insulator belonging to the substation.

[0062] Obtain the required live water flushing volume corresponding to each total volume value range of the contamination modeling from the local database, map to obtain the required live water flushing volume of each flashover-hazardous insulator belonging to the substation, and send it to the substation terminal to control the unmanned aerial vehicle to load the required live water flushing volume to flush each contamination of the corresponding flashover-hazardous insulators.

[0063] It should be noted that the larger the total volume value of the contamination modeling, the larger the corresponding required live water flushing volume.

[0064] Step 3 of the present invention, substation threat monitoring and processing. By judging whether there is a flashover hazard for each insulator belonging to the substation, when there is a flashover hazard, washing in advance by dispatching an unmanned aerial vehicle can ensure the safety of the substation. When there is no flashover hazard, the contamination is washed away by natural rainfall, thereby reducing the operation cost of the substation.

[0065] Refer to Figure 2 As shown, the second aspect of the present invention provides an operation monitoring system for implementing the operation monitoring method of an intelligent substation based on digital twin, including: a substation environmental data acquisition module, a substation digital twin model prediction module, a substation threat monitoring and processing module, and a local database.

[0066] It should be noted that the substation environmental data acquisition module is connected to the substation digital twin model prediction module, the substation digital twin model prediction module is connected to the substation threat monitoring and processing module, and the local database is connected to the substation digital twin model prediction module and the substation threat monitoring and processing module.

[0067] The substation environmental data acquisition module is used to obtain the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period.

[0068] The substation digital twin model prediction module is used to dispatch drones to perform surface scanning on each insulator of the substation, so as to obtain the surface modeling of each insulator of the substation at the current monitoring time point, and analyze the thickness value of the conductive layer formed by the contamination modeling of each insulator of the substation.

[0069] The substation threat monitoring and processing module is used to judge whether there is a flashover hazard for each insulator of the substation, so as to screen out the flashover hazard insulators of the substation, and dispatch drones through the substation terminal for flushing operations.

[0070] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring the operating status of an intelligent substation based on digital twin, characterized in that, Including: Step 1. Acquisition of substation environmental data: Obtain the estimated rainfall, wind direction, and wind speed values of the substation during the monitoring period. Step 2. Prediction of the substation digital twin model: Dispatch drones to perform surface scanning on each insulator belonging to the substation, so as to obtain the surface modeling of each insulator belonging to the substation at the current monitoring time point, and analyze the thickness value of the conductive layer formed by the estimated contamination modeling of each insulator belonging to the substation. The specific analysis method for analyzing the thickness value of the conductive layer formed by the estimated contamination modeling of each insulator belonging to the substation is as follows: Obtain the initial surface modeling of each insulator belonging to the substation from the local database. Based on the surface modeling of each insulator belonging to the substation, subtract the initial surface modeling of each insulator belonging to the substation to obtain the contamination modeling and its volume value of each insulator belonging to the substation, and obtain the environmental contact outer surface and its characteristic points of the contamination modeling of each insulator belonging to the substation. According to the wind direction during the monitoring period of the substation, screen the rain impact characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation. Based on the estimated rainfall and wind speed values during the monitoring period of the substation, analyze the estimated remaining volume value of the contamination modeling of each insulator belonging to the substation, and calculate the thickness value of the conductive layer formed by the estimated contamination modeling of each insulator belonging to the substation accordingly. The specific screening method for screening the rain impact characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation is as follows: Draw surface tangents for the characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation, so as to obtain the tangents of the characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation. Draw a vertical line according to the characteristic points on the tangent line, and use the direction pointing inside the contamination modeling as the direction of this vertical line, so as to obtain the direction of the vertical line of the tangent of the characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation. According to the wind direction during the monitoring period of the substation, calculate the included angle between the direction of the vertical line of the tangent of the characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation and the wind direction, and mark it as the comparison included angle of the characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation. Obtain the comparison included angle threshold from the local database. If the comparison included angle of a certain characteristic point on the environmental contact outer surface of a certain contamination modeling of a certain insulator belonging to the substation is less than the comparison included angle threshold, then mark this characteristic point as a rain impact characteristic point, so as to screen the rain impact characteristic points on the environmental contact outer surface of the contamination modeling of each insulator belonging to the substation. The specific analysis method for analyzing the estimated remaining volume value of the contamination modeling of each insulator belonging to the substation is as follows: Extract the comparison angle a of each rain impact feature point on the environmental contact outer surface modeled for each contamination of each insulator belonging to the substation, based on the comparison angle of each feature point on the environmental contact outer surface modeled for each contamination of each insulator belonging to the substation xni , where x represents the number of each insulator, x = 1, 2,..., y, y is a positive integer greater than 2, n represents the number of each contamination model, n = 1, 2,..., m, m is a positive integer greater than 2, and i represents the number of each rain impact feature point, i = 1, 2,..., j, j is a positive integer greater than 2; Obtain the estimated initial impact force in each rainfall interval and the estimated increased impact force in each wind speed value interval from the local database. According to the estimated rainfall and wind speed values of the substation during the monitoring period, map to obtain the estimated initial impact force A and the estimated increased impact force B of the substation during the monitoring period, and calculate the total estimated rain impact force of each contamination modeling of each insulator belonging to the substation Obtain the removal contamination volume values corresponding to each total estimated rain impact force interval from the local database, and map to obtain the removal contamination volume values b of each contamination modeling of each insulator belonging to the substation xn , based on the volume values c of each contamination modeling of each insulator belonging to the substation xn , calculate the estimated remaining volume values of each contamination modeling of each insulator belonging to the substation Step 3. Substation threat monitoring and handling: Judge whether there is a flashover hazard for each insulator belonging to the substation, so as to screen the flashover hazard insulators belonging to the substation, and dispatch drones through the substation terminal for flushing operations.

2. The method for monitoring the operating state of an intelligent substation based on digital twin according to claim 1, wherein, The specific calculation method for the thickness value of the conductive layer formed by contaminant modeling and prediction of each insulator belonging to the computing substation is as follows: Obtain the humidity values corresponding to each rainfall interval from the local database, and map to obtain the humidity value of the substation during the monitoring period based on the predicted rainfall of the substation during the monitoring period; Obtain the thickness values of the conductive layer corresponding to each humidity value interval and each predicted remaining volume value interval from the local database, and map to obtain the thickness values of the conductive layer formed by contaminant modeling and prediction of each insulator belonging to the substation based on the predicted remaining volume values of the contaminant modeling of each insulator belonging to the substation.

3. The method for monitoring the operation status of an intelligent substation based on digital twin according to claim 1, wherein, The specific judgment method for determining whether there is a flashover hazard for each insulator belonging to the substation is as follows: Obtain the leakage current of each insulator belonging to the substation at the current monitoring time point, and analyze the aging hazard coefficient of each insulator belonging to the substation; Calculate the conductive hazard coefficient of each insulator belonging to the substation based on the aging hazard coefficient of each insulator belonging to the substation and the thickness value of the conductive layer formed by contaminant modeling and prediction; Obtain the conductive hazard coefficient threshold from the local database. If the conductive hazard coefficient of a certain insulator belonging to the substation is greater than the conductive hazard coefficient threshold, it is determined that there is a flashover hazard for the insulator belonging to the substation.

4. A method for monitoring the operating status of an intelligent substation based on digital twin according to claim 3, characterized in that, The specific analysis method for analyzing the aging hazard coefficient of each insulator belonging to the substation is as follows: Obtain the appropriate service life f of each insulator belonging to the substation from the local database x , the current service life g x and the allowable leakage current corresponding to each current service life interval, and map to obtain the allowable leakage current h of each insulator belonging to the substation x , based on the leakage current k of each insulator belonging to the substation x , calculate the aging hazard coefficient of each insulator belonging to the substation where e represents the natural constant 5. A method for monitoring the operating status of an intelligent substation based on digital twin according to claim 3, characterized in that, The specific calculation method for calculating the conductive hazard coefficient of each insulator belonging to the substation is as follows: Obtain the maximum instantaneous current values of each insulator belonging to the substation in each corresponding historical monitoring time period from the local database, extract the maximum of the maximum instantaneous current values from each corresponding historical monitoring time period of each insulator belonging to the substation, and mark it as the historical instantaneous current maximum value r of each insulator belonging to the substation x ; Obtain the current safety margin proportion values corresponding to each aging hazard coefficient interval from the local database, and map the current safety margin proportion values s of each insulator under the substation according to the aging hazard coefficients of each insulator under the substation x ; Obtain the safe instantaneous current values corresponding to the thickness value ranges of each conductive layer from the local database, map the conductive layer thickness values formed based on the contamination modeling prediction of each insulator belonging to the substation to obtain the safe instantaneous current values of the contamination modeling of each insulator belonging to the substation, and extract the maximum safe instantaneous current value as the target safe instantaneous current value w of each insulator belonging to the substation x ; Calculate the conductive hazard coefficient of each insulator belonging to the substation 6. The method for monitoring the operation status of an intelligent substation based on digital twin according to claim 1, characterized in that The specific operation method for dispatching the drone for flushing operation is as follows: According to the volume values of the contaminant modeling of each insulator belonging to the substation, extract the volume values of the contaminant modeling of each flashover-hazard insulator belonging to the substation, and sum and statistics to obtain the total volume value of the contaminant modeling of each flashover-hazard insulator belonging to the substation; Obtain the required live water flushing volume corresponding to each total volume value interval of the contaminant modeling from the local database, map to obtain the required live water flushing volume of each flashover-hazard insulator belonging to the substation, and send it to the substation terminal to control the drone to load the required live water flushing volume to flush the contaminants of the corresponding flashover-hazard insulators.

7. An operation monitoring system for implementing the operation state monitoring method of a digital twin-based intelligent substation according to any one of claims 1-6, characterized in that, Including: A substation environmental data acquisition module for obtaining the predicted rainfall, wind direction and wind speed values of the substation during the monitoring period; A substation digital twin model prediction module for dispatching a drone to perform surface scanning on each insulator belonging to the substation, thereby obtaining the surface modeling of each insulator belonging to the substation at the current monitoring time point, and analyzing the thickness value of the conductive layer formed by contaminant modeling and prediction of each insulator belonging to the substation; A substation threat monitoring and processing module for determining whether there is a flashover hazard for each insulator belonging to the substation, thereby screening out each flashover-hazard insulator belonging to the substation, and dispatching a drone through the substation terminal for flushing operation.

Images