Downburst identification method, device and equipment of power grid failure area and medium

Abstract

The application discloses a method, device and equipment for identifying downburst in a power grid failure area and a medium, and belongs to the technical field of power weather forecasting. In view of the problem that the existing technology relies on radar monitoring, leading to difficulty in identifying downburst in remote power transmission lines, the method obtains reanalysis meteorological data of a three-dimensional space of the power grid failure area, determines large-scale circulation characteristics in combination with high and low air circulation configuration coupling analysis, constructs a vertical structure model in a logarithmic coordinate system of air temperature and air pressure, analyzes atmospheric stratification stability and convective potential through the relationship among the environmental temperature profile, the dew point temperature profile and the adiabatic line, and comprehensively identifies in multiple dimensions the high-altitude humidity criterion, the sinking convective available potential energy and the ground strong wind divergence characteristics. The method uses numerical reanalysis data to replace traditional observation equipment, realizes accurate identification of downburst under the condition that there is no on-site meteorological monitoring, and provides reliable technical support for power grid failure attribution and extreme weather warning.

Description

Technical Field

[0001] This invention belongs to the field of power meteorological forecasting technology, specifically relating to a method, device, equipment, and medium for identifying downbursts in power grid fault areas. Background Technology

[0002] With the increasing frequency of extreme weather events, downbursts are posing a more significant impact on ultra-high-voltage (UHV) power transmission channels. As a type of locally intense airflow generated by severe convective weather systems, downbursts can cause serious malfunctions such as tower collapses and line breaks when they strike power grid transmission towers and lines, thus posing a significant threat to the stable operation of the power grid. However, the diagnosis and forecasting of downbursts face severe challenges due to complex meteorological and physical mechanisms and extremely variable local environments. There is an urgent need to develop a new technology capable of rapidly and accurately identifying downbursts and their impacts, providing a scientific basis for power grid disaster prevention and mitigation.

[0003] Currently, the identification of downbursts mainly relies on sophisticated observation methods such as Doppler radar and wind profiler radar. These instruments capture information about rapidly changing flow fields in the atmosphere, enabling relatively reliable monitoring of the formation and evolution of downbursts, thus providing data support for attributing power grid faults. Simultaneously, through high-resolution numerical simulations and model analysis, researchers can reconstruct the internal structure and energy distribution of downbursts based on observed flow field data, providing early warning information and technical support for engineering applications.

[0004] While existing technologies, through refined monitoring data obtained from equipment such as Doppler radar and wind profiler radar, provide some basis for the identification and forecasting of downbursts, their application in the attribution of power grid faults remains insufficient. Because ultra-high-voltage (UHV) transmission towers are typically tall, flexible structures protruding above the ground, they are highly susceptible to impact and damage from extreme weather events such as downbursts in the context of global climate change. However, these towers are usually deployed in remote, outlying areas where the required refined monitoring equipment, such as radar, often cannot provide effective coverage. In some extreme conditions, there may even be a lack of effective meteorological observation stations within a radius of tens to hundreds of kilometers. This means that there may be situations where there is no meteorological monitoring data around UHV transmission towers. Consequently, when encountering extreme weather events such as downbursts, it is difficult to obtain accurate and reliable attribution analysis of the actual causes of power grid faults and to assess their impact and risks. Summary of the Invention

[0005] The purpose of this invention is to provide a method, apparatus, equipment, and medium for identifying downburst currents in power grid fault areas, so as to solve the problem of difficulty in identifying downburst currents in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for identifying downsurge currents in a power grid fault region, comprising: Acquire meteorological element analysis data for a preset time period within a preset three-dimensional space of the power grid fault area; among which, each meteorological element includes geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; Based on the analysis data of various meteorological elements, a coupled analysis of the upper and lower air configurations of atmospheric circulation patterns is conducted to obtain large-scale meteorological circulation characteristics and specific weather processes. Based on the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element in the logarithmic coordinate system of temperature and pressure is constructed. According to the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The upper-level and surface criteria for identifying downbursts were determined; the upper-level criteria were humidity and sinking convective effective potential energy, while the surface criteria were strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. Downbursts are identified based on the aforementioned large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-level criteria, and surface criteria.

[0007] Furthermore, acquire meteorological element analysis data for a preset time period within a preset three-dimensional space of the power grid fault area, including: Determine the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; The preset time period includes the period before the power grid fault and the period during the power grid fault. Collect meteorological element analysis data for a preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data.

[0008] Furthermore, based on the analysis data of various meteorological elements, a coupled analysis of the upper and lower atmosphere configurations of atmospheric circulation patterns is conducted to obtain large-scale meteorological circulation characteristics and specific weather processes, including: Based on the analysis data of various meteorological elements, upper-level atmospheric circulation maps and lower-level atmospheric circulation maps were drawn respectively. The large-scale circulation characteristics were obtained by analyzing the aforementioned upper-level atmospheric circulation map. The specific weather events were obtained by analyzing the low-level atmospheric circulation map.

[0009] Furthermore, based on the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element in a logarithmic coordinate system of temperature and pressure is constructed. Based on each of these vertical structure analysis models, atmospheric stratification stability, vertical motion, and convective energy are analyzed to obtain vertical profile analysis results, including: A logarithmic temperature-pressure coordinate system is constructed for atmospheric vertical structure analysis; wherein the abscissa of the logarithmic temperature-pressure coordinate system is temperature and the ordinate is pressure. Based on the logarithmic coordinate system of air temperature and air pressure and the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element is constructed. Among them, the vertical structure analysis model of each meteorological element includes the ambient temperature profile, dew point temperature profile, rising air parcel path, dry insulation line and wet insulation line at the time of power grid failure. Atmospheric stratification stability is determined based on the distribution characteristics of ambient temperature profiles and dry insulation lines. The ease of convection triggering is determined based on the distribution characteristics of ambient temperature profiles and dew point temperature profiles. Convection potential is determined based on the path of the lifted air parcel.

[0010] In a second aspect, the present invention provides a downburst current identification device for power grid fault areas, comprising: The data acquisition module is used to acquire analysis data of various meteorological elements within a preset three-dimensional space and a preset time period in the power grid fault area; among which, the meteorological elements include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; The first analysis module is used to perform coupled analysis of the upper and lower air configurations of atmospheric circulation patterns based on the analysis data of various meteorological elements, so as to obtain the large-scale circulation characteristics of meteorology and specific weather processes. The second analysis module is used to construct a vertical structure analysis model of each meteorological element in a logarithmic coordinate system of temperature and pressure based on the analysis data of each meteorological element. Based on the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The third analysis module is used to determine the upper-level and surface criteria for identifying downbursts; the upper-level criteria are humidity and sinking convection effective potential energy, and the surface criteria are strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. The identification module is used to identify downbursts based on the large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-air criteria, and surface criteria.

[0011] Furthermore, the data acquisition module is specifically used for: Determine the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; The preset time period includes the period before the power grid fault and the period during the power grid fault. Collect meteorological element analysis data for a preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data.

[0012] Furthermore, the first analysis module is specifically used for: Based on the analysis data of various meteorological elements, upper-level atmospheric circulation maps and lower-level atmospheric circulation maps were drawn respectively. The large-scale circulation characteristics were obtained by analyzing the aforementioned upper-level atmospheric circulation map. The specific weather events were obtained by analyzing the low-level atmospheric circulation map.

[0013] Furthermore, the second analysis module is specifically used for: A logarithmic temperature-pressure coordinate system is constructed for atmospheric vertical structure analysis; wherein the abscissa of the logarithmic temperature-pressure coordinate system is temperature and the ordinate is pressure. Based on the logarithmic coordinate system of air temperature and air pressure and the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element is constructed. Among them, the vertical structure analysis model of each meteorological element includes the ambient temperature profile, dew point temperature profile, rising air parcel path, dry insulation line and wet insulation line at the time of power grid failure. Atmospheric stratification stability is determined based on the distribution characteristics of ambient temperature profiles and dry insulation lines. The ease of convection triggering is determined based on the distribution characteristics of ambient temperature profiles and dew point temperature profiles. Convection potential is determined based on the path of the lifted air parcel.

[0014] In a third aspect, the present invention provides an electronic device including a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the method described above.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium storing at least one instruction which, when executed by a processor, implements the method described above.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The downburst identification method proposed in this scheme enables accurate identification of downbursts even in the absence of detailed observational data. This invention, by comprehensively utilizing atmospheric circulation pattern analysis, vertical profile models in a logarithmic temperature-pressure coordinate system, and upper-air and surface characteristic threshold discrimination, can quantitatively analyze local atmospheric stratification stability, vertical motion, and convection potential, thereby accurately identifying downburst extreme weather processes and providing a rapid identification scheme for power grid fault attribution.

[0017] The downburst identification method proposed in this solution can accurately and objectively locate the causes of power grid faults, providing a reliable reference for the safe operation and maintenance, as well as the design and planning of ultra-high voltage power grids. In practical applications, this system can not only provide detailed fault attribution analysis data for power grid operation and maintenance, but also provide real-time early warnings for downbursts, thereby helping power grid operation and maintenance personnel to take timely preventive measures, optimize resource allocation, and significantly improve the operational safety and disaster prevention capabilities of the power grid under extreme weather conditions. Attached Figure Description

[0018] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of a method for identifying downburst currents in a power grid fault area according to an embodiment of the present invention; Figure 2 This is an example of atmospheric circulation analysis at 500 hPa in the upper atmosphere (red dots mark the power grid fault area); a large-scale subtropical high-pressure system is located south of the power grid fault, creating favorable conditions for strong convection. Figure 3 This is an example of low-altitude 850hPa atmospheric circulation analysis in this invention (red dots mark the power grid fault area); small-to-medium-scale low-altitude shear line systems in the power grid fault area provide the driving force for the development of severe convective weather; Figure 4 This is a schematic diagram of atmospheric vertical stability analysis in the logarithmic coordinate system of temperature and pressure in an embodiment of the present invention; Figure 5 This is a structural block diagram of a downburst current identification device for a power grid fault area according to an embodiment of the present invention; Figure 6 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0019] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0020] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0021] Example 1 To address the problem that traditional refined diagnostic analysis methods for downbursts fail due to the fact that ultra-high voltage (UHV) power grid facilities are located in monitoring gaps of Doppler radar and wind profiler radar, this invention aims to solve the technical challenge of rapidly identifying downbursts in the absence of refined meteorological monitoring. Specifically, this invention employs atmospheric circulation upper and lower-level atmospheric field analysis, combined with vertical profile analysis of temperature-pressure logarithmic coordinates, to rapidly identify downbursts through upper-level and surface features, providing effective data support for timely attribution analysis and early warning of UHV power grid faults.

[0022] like Figure 1 As shown, a method for identifying downsurge currents in a power grid fault area includes: S1. Obtain analysis data of various meteorological elements within a preset three-dimensional space and a preset time period in the power grid fault area; among which, each meteorological element includes geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature.

[0023] Specifically, step S1 includes: determining the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; determining the preset time period, including the period before the power grid fault and the period of the power grid fault; collecting meteorological element analysis data for the preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data, for example, based on high-resolution reanalysis data such as ERA5, FNL, and CMA-RA, collecting elements such as geopotential height, vorticity, air temperature, dew point, specific humidity, wind field, and pseudo-equivalent potential temperature at each layer from 1000hPa to 100hPa, ensuring spatiotemporal continuity within 1 hour, and fully covering major systems such as the 500hPa subtropical high to the 850hPa low-level jet stream.

[0024] It should be noted that this scheme obtains comprehensive meteorological analysis data for a large-scale three-dimensional space and several hours prior to the fault period based on the power grid fault area. Specific requirements are: the three-dimensional space must be sufficient to support the analysis of the atmospheric circulation field and must cover the scale of major weather systems; the time range must fully cover the entire fault process, with a time resolution of no less than 1 hour; the meteorological element analysis data must include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature at multiple isobaric surfaces.

[0025] The applicant further explained that the scope of the pre-defined three-dimensional space is the spatial range of the dominant high- and low-altitude weather systems covering the power grid fault area. For example, based on the power grid fault area, starting from the dominant high- and low-altitude weather systems affecting the area, through vertical coupling analysis of multi-level weather system configurations, the spatial range of the analysis data is determined by focusing on large-scale weather systems such as the subtropical high, westerly troughs and ridges, cyclones, and blocking highs at 500 hPa, as well as medium- and small-scale weather systems such as low-level jet streams, shear lines, low-level vortices, and frontal zones at 850 hPa.

[0026] The preset time period covers the time range of the power grid failure process. It is understandable that the life cycle of downburst weather processes that cause power grid failures is usually very short. However, because the release of unstable energy during atmospheric motion involves a slow accumulation process from quantitative to qualitative change, the time scale of the full-element meteorological analysis data needs to cover the power grid failure process and the several hours preceding it.

[0027] Collect comprehensive meteorological analysis data to support the attribution analysis of power grid faults. It is understood that since ultra-high voltage (UHV) power grids are often located in areas lacking refined meteorological monitoring, reanalysis data will be used for analyzing the causes of power grid faults. As an example, this scheme selects datasets such as ERA5, FNL, and CMA-RA. The data should at least cover geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature on isobaric surfaces at 1000, 900, 800, 700, 600, 500, 400, 300, 200, and 100 hPa.

[0028] S2. Based on the analysis data of various meteorological elements, perform high- and low-altitude configuration coupling analysis of atmospheric circulation patterns to obtain large-scale circulation characteristics and specific weather processes.

[0029] Specifically, step S2 includes: drawing upper-level atmospheric circulation maps and lower-level atmospheric circulation maps based on the analysis data of each meteorological element; analyzing the upper-level atmospheric circulation maps to obtain large-scale circulation characteristics; and analyzing the lower-level atmospheric circulation maps to obtain specific weather processes.

[0030] As an example, this scheme conducts a coupled analysis of the upper and lower atmospheric circulation patterns during power grid failures, based on collected reanalysis data. First, an analysis of the 500 hPa upper-level atmospheric circulation is performed to clarify the large-scale circulation characteristics, which constitute the broader context and trends of weather changes during power grid failures. Second, an analysis of the 850 hPa lower-level atmospheric circulation is conducted to identify specific weather processes that are the direct causes of power grid failures.

[0031] More specifically, an analysis of the 500 hPa upper-level atmospheric circulation pattern based on reanalysis data includes: Based on meteorological data such as geopotential height, wind speed, wind direction, and vorticity on the 500 hPa isobaric surface, an upper-level atmospheric circulation map is drawn. Since the evolution of upper-level atmospheric circulation takes several hours, this scheme analyzes the changes over 6 hours; therefore, the analysis time is chosen to be the moment of the power grid failure. The 500 hPa upper-level circulation map is a good representation of the location and intensity of large-scale weather systems. Figure 2As shown, this invention, through analysis of upper-level circulation maps, found that the power grid fault area is located precisely on the northern edge of the subtropical high pressure, and that a continuous easterly wind continuously transports warm and humid air from the ocean to the land. The analysis indicates that the large-scale weather system creates favorable water vapor and energy conditions for the generation of severe convective weather.

[0032] Analysis of the 850 hPa lower-level atmospheric circulation pattern based on reanalysis data, including: Based on meteorological elements such as geopotential height, wind speed, wind direction, and specific humidity on the 850 hPa isobaric surface, a low-level atmospheric circulation map is drawn. Since the evolution of low-level atmospheric circulation is faster than that of upper-level circulation, this scheme analyzes changes every 3 hours. Therefore, the analysis time can be selected at the moment of the power grid failure or 3-6 hours before the failure. The 850 hPa low-level circulation map represents the triggering and development layer of small- and medium-scale weather systems (such as downbursts in severe convective weather). Figure 3 As shown, by analyzing the low-altitude circulation map, this invention found that there is a clear shear line maintaining in the power grid fault area. The shear line is a convergence zone of airflow, which provides a continuous updraft for severe convective weather processes, that is, the dynamic conditions for the convergence and lifting of severe convective weather.

[0033] In step S2 above, during the high-low altitude coupled situational field analysis process, 500hPa and 850hPa circulation maps are generated and analyzed. Through meteorological analysis, the configuration of key weather systems in the upper and lower atmospheres is identified, the dynamic and thermal coupling and water vapor transport path between the upper and lower atmospheres are quantified, and it is pointed out that the configuration of the atmospheric circulation field is conducive to the occurrence and development of downbursts.

[0034] S3. Based on the analysis data of each meteorological element, construct a vertical structure analysis model of each meteorological element in a logarithmic coordinate system of temperature and pressure. Based on the vertical structure analysis model, perform atmospheric stratification stability, vertical motion and convective energy analysis to obtain the vertical profile analysis results.

[0035] Specifically, step S3 includes: constructing a logarithmic temperature-pressure coordinate system for atmospheric vertical structure analysis; wherein the horizontal axis of the logarithmic temperature-pressure coordinate system is temperature and the vertical axis is pressure; based on the logarithmic temperature-pressure coordinate system and the analysis data of each meteorological element, constructing a vertical structure analysis model for each meteorological element; wherein the vertical structure analysis model for each meteorological element includes the ambient temperature profile, dew point temperature profile, rising parchment path, dry adiabatic line, and wet adiabatic line at the time of power grid failure; determining the atmospheric stratification stability based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line; determining the ease of convection triggering based on the distribution characteristics of the ambient temperature profile and the dew point temperature profile; and determining the convection potential based on the rising parchment path.

[0036] As an example, this scheme constructs a vertical structure analysis model for each element in a logarithmic temperature-pressure coordinate system based on meteorological element analysis data from multi-layer isobaric surfaces at power grid fault points. This model is used to analyze atmospheric stratification stability, vertical motion, and convective energy. For instance, it can construct a logarithmic temperature-pressure coordinate system to support atmospheric vertical structure analysis, plot vertical profiles such as temperature, dew point temperature, rising air parcel paths, dry adiabatic lines, and wet adiabatic lines, and perform technical steps such as atmospheric stability and convective energy analysis based on these vertical profiles.

[0037] More specific examples: (1) Construct a logarithmic temperature-pressure coordinate system for analyzing the vertical structure of the atmosphere. The evolution of severe convective weather processes must be analyzed in depth through the vertical structure of the atmosphere in order to accurately diagnose the details and intensity of the development of severe convection.

[0038] A coordinate system for vertical structure analysis is defined with air temperature as the x-axis and air pressure as the y-axis. However, since air pressure decreases approximately exponentially with altitude from the ground (e.g., 1000 hPa) to upper atmospheres (e.g., 100 hPa), if a linear scale is used on the y-axis in the atmospheric vertical structure analysis, the air pressure at high altitudes will be compressed, making it difficult to distinguish key stratification features. In this scheme, taking the logarithm of the multiple pressure layers collected in step S1 transforms their exponential decay into a linear relationship, resulting in a more uniform air pressure distribution across different altitudes, which facilitates analysis.

[0039] This invention takes the natural logarithm of the air pressure and then converts all the results to positive numbers, as shown in equation (1): (1) in, This represents the value on the vertical axis after the pressure conversion, and this number always remains positive. and These are the air pressure value to be converted and the air pressure value at the reference altitude, respectively. Take 1000 hPa.

[0040] After the above conversion, the vertical axis scale of the logarithmic temperature-pressure coordinate system for converting the air pressure value from 1000hPa to 100hPa is shown in Table 1.

[0041] Table 1 Air Pressure Logarithmic conversion of air pressure Correspondence table

[0042] (2) Based on the logarithmic coordinate system of temperature and pressure, and combined with the full-element analysis data on the multi-layer isobaric surface, draw the ambient temperature profile, dew point temperature profile, rising air parcel path, dry insulation line, wet insulation line, etc. at the time of power grid failure, which are used to analyze the potential conditions of atmospheric vertical structure and severe convective weather.

[0043] The specific meanings are as follows: the ambient temperature profile represents the distribution of ambient temperature at different altitudes in the atmosphere, used to determine the stratification stability of the atmosphere; the dew point temperature profile represents the distribution of dew point temperature at different altitudes in the atmosphere, reflecting the humidity status, used to determine the distribution and saturation level of atmospheric humidity; the rising air parcel path represents the temperature change path of an air parcel as it rises from the ground, used to determine whether the air parcel has buoyancy; the dry adiabatic line represents the rate of temperature change of dry air during adiabatic rising or sinking, used to determine the temperature change of an air parcel under dry conditions; and the wet adiabatic line represents the rate of temperature change of saturated air during adiabatic rising, used to determine the temperature change of a saturated air parcel.

[0044] (3) Based on the vertical profile diagrams of various elements in the logarithmic coordinate system of temperature and pressure, analyses are conducted on atmospheric stratification stability, vertical motion, and convective energy. Specific analysis scheme in this invention: First, the stability of atmospheric stratification is determined based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line. If the temperature profile is flatter than the dry adiabatic line, the layer is an unstable stratification.

[0045] Next, based on the distribution characteristics of the ambient temperature profile and dew point temperature profile, it is determined whether convection is likely to be triggered. If the dew point temperature profile is close to the temperature profile, it indicates that the atmospheric humidity is high and convection is likely to be triggered; if the dew point profile is far from the temperature profile, it indicates that the air in that layer is relatively dry.

[0046] Then, the convection potential is analyzed in conjunction with the gas parcel path. If the gas parcel path passes through the humid layer, the convection potential is high.

[0047] Finally, the sinking convection effective potential energy is calculated. DCAPE , DCAPE It is used to measure the potential energy released by a descending air mass in the atmosphere and can be used to assess the intensity of downbursts.

[0048] In this invention DCAPE The calculation scheme is as follows: DCAPE This is the energy released by a downburst as an air parcel descends from the lowest point of ambient temperature or the frozen layer to the ground due to negative buoyancy. It reflects the acceleration potential of the descending air parcel; the higher the value, the stronger the downburst. Its calculation method is shown in equation (2): (2) in, and These represent the height from which the air parcel begins to sink and the height at which it reaches the ground, respectively. and These are the virtual temperature profiles of the air parcel as it sinks along the dry / wet adiabatic line, and the environmental virtual temperature profile as it sinks, respectively. The acceleration due to gravity is taken as 9.8 m / s².2 Here, in order to accurately calculate the buoyancy of the air parcel, a virtual temperature is introduced. The concept of is the temperature required to convert moist air containing water vapor into dry air with the same density, and its calculation method is shown in equation (3): (3) in, The actual ambient temperature The water vapor mixing ratio is expressed in kg / kg.

[0049] Provide an example, such as Figure 4 As shown, Figure 4 The red dot marks the power grid fault area. The integral calculation DCAPE is 723 J / kg, and the mid-layer humidity RH is 68%, both of which meet the discrimination threshold requirements.

[0050] In step S3 above, during the analysis of atmospheric vertical structure and convection potential, the ambient temperature profile, dew point temperature profile, and dry / wet adiabatic line in the logarithmic coordinate system of air temperature and pressure are proposed, and the path of the lifted air parcel is superimposed to reveal the stability of atmospheric stratification and convection potential in detail.

[0051] S4. Determine the upper-level and surface criteria for identifying downbursts; the upper-level criteria are humidity and sinking convection effective potential energy, and the surface criteria are strong surface wind, wind direction divergence, air pressure increase and air temperature decrease.

[0052] Specifically, based on the analysis of surface and vertical profiles of meteorological elements at the fault location, and combined with upper-air and surface characteristics and parameter thresholds of the downburst, the downburst is quickly identified. Steps S2 and S3 have already analyzed conditions favorable to the occurrence and development of downbursts from the perspectives of atmospheric circulation patterns and atmospheric vertical structure. However, step S4 further proposes two criteria based on the distribution characteristics and thresholds of upper-air and surface meteorological elements to achieve rapid identification and intensity diagnosis of the downburst.

[0053] As an example, the high-altitude criterion is: The distribution characteristics and thresholds of upper-air meteorological elements for identifying downbursts are determined. Since downbursts are powerful descending air currents caused by the strong dragging and evaporative cooling of precipitation during intense convection, the humidity in the mid-atmosphere will significantly decrease when a downburst occurs. Therefore, this invention uses a mid-atmosphere humidity (300–850 hPa) < 70% as one of the criteria. Furthermore, as shown in Equation (2), the DCAPE calculation formula represents the total energy released by the air parcel during its descent. A larger DCAPE value indicates a stronger acceleration potential of the descending air parcel and a stronger downburst process. Another criterion for this invention is DCAPE ≥ 500 J / kg. The aforementioned distribution characteristics of upper-air meteorological elements and the two criterion conditions must be satisfied simultaneously as upper-air criteria for rapid identification of downbursts.

[0054] As an example, the ground criterion is: Identifying the distribution characteristics of surface meteorological elements in downbursts. Because the airflow in a downburst descends vertically and then explodes horizontally upon impact with the ground, it creates distinctive distribution characteristics of surface meteorological elements. These characteristics include strong surface winds, abrupt changes in wind direction divergence, and, due to the high density of cold air, accelerated descent forming a cold pool, resulting in a surge in surface pressure and a sharp drop in temperature. All of these surface meteorological characteristics must be simultaneously satisfied as surface criteria for rapid identification of downbursts. This invention specifies that when surface winds exceed 44 m / s and are accompanied by characteristics of wind direction divergence, increased air pressure, and decreased temperature, a downburst process can be clearly identified, and attribution analysis of power grid faults can be performed.

[0055] The above scheme extracts relative humidity from 300–850 hPa and sets humidity <70% as a necessary condition in the upper-level identification criteria of downbursts. At the same time, it calculates DCAPE and sets DCAPE ≥ 500 J / kg as the strong downburst potential threshold. The combined judgment of the two can automatically trigger the upper-level downburst identification process, significantly improving the reliability of blind zone identification. In the ground identification criteria of downbursts, it combines comprehensive indicators such as near-surface wind speed ≥ 44 m / s, wind direction divergence characteristics, sudden rise in air pressure and sudden drop in temperature to achieve real-time confirmation and location of the interaction process between downbursts and the ground.

[0056] S5. Identify downbursts based on the large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-level criteria, and surface criteria.

[0057] Specifically, when the large-scale circulation characteristics, specific weather processes, and vertical profile analysis results obtained from the analysis meet the meteorological analysis characteristics of downbursts, and the upper-air criteria and surface criteria are also met, a downburst phenomenon is confirmed to have occurred.

[0058] Example 2 like Figure 5 As shown, based on the same inventive concept as the above embodiments, the present invention also provides a downburst current identification device for power grid fault areas, comprising: The data acquisition module is used to acquire analysis data of various meteorological elements within a preset three-dimensional space and a preset time period in the power grid fault area; among which, the meteorological elements include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; The first analysis module is used to perform coupled analysis of the upper and lower air configurations of atmospheric circulation patterns based on the analysis data of various meteorological elements, so as to obtain the large-scale circulation characteristics of meteorology and specific weather processes. The second analysis module is used to construct a vertical structure analysis model of each meteorological element in a logarithmic coordinate system of temperature and pressure based on the analysis data of each meteorological element. Based on the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The third analysis module is used to determine the upper-level and surface criteria for identifying downbursts; the upper-level criteria are humidity and sinking convection effective potential energy, and the surface criteria are strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. The identification module is used to identify downbursts based on the large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-air criteria, and surface criteria.

[0059] The data acquisition module is specifically used for: Determine the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; The preset time period includes the period before the power grid fault and the period during the power grid fault. Collect meteorological element analysis data for a preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data.

[0060] The first analysis module is specifically used for: Based on the analysis data of various meteorological elements, upper-level atmospheric circulation maps and lower-level atmospheric circulation maps were drawn respectively. The large-scale circulation characteristics were obtained by analyzing the aforementioned upper-level atmospheric circulation map. The specific weather events were obtained by analyzing the low-level atmospheric circulation map.

[0061] The second analysis module is specifically used for: A logarithmic temperature-pressure coordinate system is constructed for atmospheric vertical structure analysis; wherein the abscissa of the logarithmic temperature-pressure coordinate system is temperature and the ordinate is pressure. Based on the logarithmic coordinate system of air temperature and air pressure and the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element is constructed. Among them, the vertical structure analysis model of each meteorological element includes the ambient temperature profile, dew point temperature profile, rising air parcel path, dry insulation line and wet insulation line at the time of power grid failure. Atmospheric stratification stability is determined based on the distribution characteristics of ambient temperature profiles and dry insulation lines. The ease of convection triggering is determined based on the distribution characteristics of ambient temperature profiles and dew point temperature profiles. Convection potential is determined based on the path of the lifted air parcel.

[0062] Example 3 like Figure 6 As shown, the present invention also provides an electronic device 100 for implementing a method for identifying downburst currents in power grid fault areas; The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0063] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the downburst current identification method for a power grid fault area according to Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0064] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0065] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0066] The memory 101 in the electronic device 100 stores multiple instructions to implement a method for identifying downsurge currents in a power grid fault area, and the processor 102 can execute multiple instructions to achieve the following: Acquire meteorological element analysis data for a preset time period within a preset three-dimensional space of the power grid fault area; among which, each meteorological element includes geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; Based on the analysis data of various meteorological elements, a coupled analysis of the upper and lower air configurations of atmospheric circulation patterns is conducted to obtain large-scale meteorological circulation characteristics and specific weather processes. Based on the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element in the logarithmic coordinate system of temperature and pressure is constructed. According to the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The upper-level and surface criteria for identifying downbursts were determined; the upper-level criteria were humidity and sinking convective effective potential energy, while the surface criteria were strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. Downbursts are identified based on the aforementioned large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-level criteria, and surface criteria.

[0067] Example 4 If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0068] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0069] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0070] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0071] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0072] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0073] 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 it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for identifying downsurge currents in a power grid fault area, characterized in that, include: Acquire meteorological element analysis data for a preset time period within a preset three-dimensional space of the power grid fault area; among which, each meteorological element includes geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; Based on the analysis data of various meteorological elements, a coupled analysis of the upper and lower air configurations of atmospheric circulation patterns is conducted to obtain large-scale meteorological circulation characteristics and specific weather processes. Based on the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element in the logarithmic coordinate system of temperature and pressure is constructed. According to the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The upper-level and surface criteria for identifying downbursts were determined; the upper-level criteria were humidity and sinking convective effective potential energy, while the surface criteria were strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. Downbursts are identified based on the aforementioned large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-level criteria, and surface criteria. Based on the analysis data of various meteorological elements, a vertical structure analysis model of each meteorological element is constructed in a logarithmic temperature-pressure coordinate system. Atmospheric stratification stability, vertical motion, and convective energy are analyzed according to these vertical structure analysis models to obtain vertical profile analysis results. This includes: constructing a logarithmic temperature-pressure coordinate system for atmospheric vertical structure analysis; wherein the abscissa of the logarithmic temperature-pressure coordinate system is temperature, and the ordinate is pressure; constructing a vertical structure analysis model for each meteorological element based on the logarithmic temperature-pressure coordinate system and the analysis data of each meteorological element; wherein the vertical structure analysis model for each meteorological element includes the ambient temperature profile, dew point temperature profile, rising parchment path, dry adiabatic line, and wet adiabatic line at the time of power grid failure; determining atmospheric stratification stability based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line; determining the ease of convection triggering based on the distribution characteristics of the ambient temperature profile and the dew point temperature profile; and determining convection potential based on the rising parchment path.

2. The method according to claim 1, characterized in that, Acquire meteorological element analysis data for a preset time period within a preset three-dimensional space of the power grid fault area, including: Determine the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; The preset time period includes the period before the power grid fault and the period during the power grid fault. Collect meteorological element analysis data for a preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data.

3. The method according to claim 1, characterized in that, Based on the analysis data of various meteorological elements, a coupled analysis of the upper and lower atmosphere configurations of atmospheric circulation patterns is conducted to obtain large-scale circulation characteristics and specific weather processes, including: Based on the analysis data of various meteorological elements, upper-level atmospheric circulation maps and lower-level atmospheric circulation maps were drawn respectively. The large-scale circulation characteristics were obtained by analyzing the aforementioned upper-level atmospheric circulation map. The specific weather events were obtained by analyzing the low-level atmospheric circulation map.

4. A downburst current identification device for a power grid fault area, characterized in that, include: The data acquisition module is used to acquire analysis data of various meteorological elements within a preset three-dimensional space and a preset time period in the power grid fault area; among which, the meteorological elements include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction, and pseudo-equivalent potential temperature; The first analysis module is used to perform coupled analysis of the upper and lower air configurations of atmospheric circulation based on the analysis data of various meteorological elements, so as to obtain the large-scale circulation characteristics of meteorology and specific weather processes. The second analysis module is used to construct a vertical structure analysis model of each meteorological element in a logarithmic coordinate system of temperature and pressure based on the analysis data of each meteorological element. Based on the vertical structure analysis model, atmospheric stratification stability, vertical motion and convective energy are analyzed to obtain the vertical profile analysis results. The third analysis module is used to determine the upper-level and surface criteria for identifying downbursts; the upper-level criteria are humidity and sinking convection effective potential energy, and the surface criteria are strong surface wind, wind direction divergence, air pressure increase and air temperature decrease. The identification module is used to identify downbursts based on the large-scale circulation characteristics, specific weather processes, vertical profile analysis results, upper-air criteria, and surface criteria. The second analysis module is specifically used for: constructing a logarithmic temperature-pressure coordinate system for atmospheric vertical structure analysis; wherein the horizontal axis of the logarithmic temperature-pressure coordinate system is temperature and the vertical axis is pressure; constructing a vertical structure analysis model for each meteorological element based on the logarithmic temperature-pressure coordinate system and the analysis data of each meteorological element; wherein the vertical structure analysis model for each meteorological element includes the ambient temperature profile, dew point temperature profile, rising parchment path, dry adiabatic line, and wet adiabatic line at the time of power grid failure; determining the atmospheric stratification stability based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line; determining the ease of convection triggering based on the distribution characteristics of the ambient temperature profile and the dew point temperature profile; and determining the convection potential based on the rising parchment path.

5. The apparatus according to claim 4, characterized in that, The data acquisition module is specifically used for: Determine the isobaric surfaces in the preset three-dimensional space, including the power grid fault area; The preset time period includes the period before the power grid fault and the period during the power grid fault. Collect meteorological element analysis data for a preset time period within the preset three-dimensional space; wherein, the meteorological element analysis data is reanalysis data.

6. The apparatus according to claim 4, characterized in that, The first analysis module is specifically used for: Based on the analysis data of various meteorological elements, upper-level atmospheric circulation maps and lower-level atmospheric circulation maps were drawn respectively. The large-scale circulation characteristics were obtained by analyzing the aforementioned upper-level atmospheric circulation map. The specific weather events were obtained by analyzing the low-level atmospheric circulation map.

7. An electronic device, characterized in that, It includes a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the method as described in any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the method as described in any one of claims 1 to 3.

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