A method and system for quickly predicting rainstorm submergence of power grid transmission and transformation equipment

Abstract

This invention discloses a rapid prediction method and system for stormwater inundation of power grid transmission and transformation equipment. The method includes: acquiring drainage area range data and drawing a drainage area base map; dividing the drainage area into zones based on the base map and elevation data, and generating drainage area layers; statistically analyzing the flow rates of pipelines, sluice gates, and pumping stations within each drainage area, and calculating the drainage capacity of the drainage area; calculating the water level-volume curve for each drainage area; determining the relationship curve between maximum volume and precipitation for each drainage area under different rainfall durations and rainfall patterns; determining the current flood control capacity of the equipment within the drainage area based on the relationship curve between maximum volume and precipitation and the elevation of each piece of equipment within the drainage area; calculating the stormwater inundation depth of the equipment within the drainage area based on the area and relative depth of the depression; and determining that the equipment within the depression is affected when the stormwater inundation depth of the equipment reaches or exceeds a threshold. This invention does not require complex integral and differential calculations, resulting in high computational efficiency.

Description

Technical Field

[0001] This invention relates to the field of disaster early warning technology for power grid transmission and transformation equipment, and in particular to a rapid prediction method and system for power grid transmission and transformation equipment being flooded by rainstorms. Background Technology

[0002] In recent years, with global climate change and the increasing frequency of extreme weather disasters, there has been a growing number of accidents involving power transmission and transformation equipment being damaged and shut down due to torrential rains. With urban development, the number of underground power transmission and transformation equipment in urban areas is increasing, necessitating the development of rapid calculation methods and systems for the inundation of power grid transmission and transformation equipment during torrential rains.

[0003] Because inundation often occurs on a very small scale, current methods for calculating rainstorm inundation, both domestically and internationally, are limited by the scale of calculation and have low efficiency. The calculation time for inundation over an area of ​​several hundred square kilometers can be as long as tens of hours, which is difficult to meet the requirements for timely flood warning. Summary of the Invention

[0004] This invention provides a rapid prediction method and system for power grid transmission and transformation equipment flooding during rainstorms, in order to solve the technical problem that existing rainstorm flooding calculation methods are time-consuming and cannot meet the requirements for flood warning timeliness.

[0005] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows:

[0006] A rapid prediction method for flooding of power grid transmission and transformation equipment during rainstorms includes the following steps:

[0007] Obtain the range data of the zoning area and draw the zoning area base map; divide the zoning area according to the zoning area base map and elevation data, and generate the zoning area layer;

[0008] Statistical analysis of the flow rates of pipelines, sluice gates, and pumping stations within each drainage area, and calculation of the drainage capacity of each drainage area;

[0009] Calculate the water level-volume curve for each drainage area;

[0010] Based on the water level-volume curve of each drainage area, determine the relationship curve between the maximum volume and precipitation for each drainage area under different rainfall durations and different rainfall patterns;

[0011] Based on the relationship curve between maximum volume and precipitation and the elevation of each piece of equipment in the drainage area, determine the current flood control capacity of the equipment in the drainage area;

[0012] Based on the area and relative depth of the depression, the rainstorm flooding depth of the equipment in the drainage area is calculated. When the rainstorm flooding depth of the equipment reaches or exceeds the threshold, it is determined that the equipment in the depression is affected by the disaster.

[0013] As a further improvement to the method of the present invention:

[0014] Preferably, the calculation of the water level-volume curve for each drainage area includes: generalizing each drainage area into a grid, taking different water level values, multiplying the area of ​​each grid by the current water depth value to obtain the water storage capacity of the current grid, adding up all grids with water storage capacity greater than zero to obtain the volume corresponding to the current water level; changing the water level value to recalculate the volume, and obtaining the water level-volume curve.

[0015] Preferably, determining the relationship curve between maximum volume and precipitation for each drainage area under different rainfall durations and rainfall patterns includes the following steps:

[0016] Collect historical rainfall data, including rainfall data of different durations and different rainfall types; select a time period Δt and plot the rainfall process curve;

[0017] Import the three-dimensional coordinates of each device's location into the drainage area layer; use the point rainfall of each water level station in the drainage area to which the device is located to calculate the areal rainfall of the drainage area by constructing the Thiessen polygon method; and use the following formula to obtain the water storage of the drainage area at each time period.

[0018] V t =V0+IΔt-OΔt

[0019] In the formula: V t The unit is m³ for calculating the water storage in the drainage area at the end of the time period. 3 I represents the rainwater harvesting capacity of the drainage area, in meters (m³). 3 / s; O represents the drainage capacity of the drainage area, in meters. 3 / s, including the flow rate discharged by the sluice gate and the flow rate pumped by the pumping station;

[0020] Based on the water storage volume of the drainage area in each time period, a water storage process curve is plotted, which is the relationship curve between water storage volume and time.

[0021] Based on the drainage capacity of the drainage area and the rainfall process curve, a drainage process curve is plotted, which is the relationship between drainage capacity and time.

[0022] Find the maximum volume value based on the water storage process curve;

[0023] By setting different rainfall intensities, durations, and types, the above calculations were repeated to obtain the corresponding maximum volumes; the relationship curves between the maximum volume and precipitation for different rainfall intensities, durations, and types were obtained.

[0024] Preferably, the different durations include 3 hours, 6 hours, 24 hours, 3 days, and 7 days.

[0025] Preferably, determining the current flood control capacity of equipment within the drainage area includes:

[0026] Determine the elevation of each device, and use the elevation of each device to query the water level-volume curve of the current drainage area to obtain the corresponding drainage area water storage capacity; use the drainage area water storage value to query the relationship curve between the maximum volume and precipitation to obtain the corresponding rainfall amount, and query the rainfall frequency curve to obtain the current flood control capacity of the power transmission and transformation equipment.

[0027] Preferably, calculating the rainstorm flooding depth of equipment within the drainage area includes the following steps:

[0028] Based on the selected depressions in the sorting area layer, depressions below a fixed threshold are removed according to their area and relative depth.

[0029] By performing topological relationship analysis on the house layer and depression map layer within the drainage area layer, it can be determined whether there is equipment in the current depression, and depressions without equipment are removed.

[0030] Based on the area and relative depth of the depression, the depression is generalized into a regular water tank. The placement depth of the equipment in the water tank is calculated, the rainfall process curve is queried, and when the water depth in the water tank reaches or exceeds a fixed threshold determined based on the placement depth, it is determined that the equipment in the depression is damaged.

[0031] The present invention also provides a computer system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the above methods.

[0032] The present invention has the following beneficial effects:

[0033] This invention presents a rapid prediction method and system for stormwater inundation of power grid transmission and transformation equipment. Based on the geographical location of the equipment, it identifies and divides typical areas into drainage zones, calculates the drainage capacity of these zones, obtains the relationship curve between the maximum volume of the drainage zone and precipitation, further calculates the flood control capacity of the drainage zones, and finally obtains the stormwater inundation depth of typical areas. This method does not require complex integral and differential calculations, has high computational efficiency, and can meet the timeliness requirements for stormwater inundation early warning. The principle is clear, the operation is convenient, and it has high practical value; it has important guiding significance for the planning and operation of power transmission and transformation equipment in areas prone to stormwater inundation.

[0034] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0035] 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:

[0036] Figure 1 This is a flowchart illustrating a preferred embodiment of the rapid prediction method for flooding of power grid transmission and transformation equipment during rainstorms.

[0037] Figure 2 This is a schematic diagram of the water level-volume curve of a preferred embodiment of the present invention;

[0038] Figure 3 This is a schematic diagram of the rainfall process curve according to a preferred embodiment of the present invention;

[0039] Figure 4 This is a schematic diagram of the rainfall and drainage process curves according to a preferred embodiment of the present invention;

[0040] Figure 5 This is a schematic diagram of the water storage process curve of a preferred embodiment of the present invention;

[0041] Figure 6 This is a schematic diagram of the relationship between the maximum volume and precipitation (Vmax-P) in a preferred embodiment of the present invention. Detailed Implementation

[0042] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered by the claims.

[0043] See Figure 1 The rapid prediction method for power grid transmission and transformation equipment flooding during rainstorms, as described in this invention, includes the following steps:

[0044] S1: Obtain the extent data of the drainage area and draw the drainage area base map; divide the drainage area according to the drainage area base map and elevation data, and generate the drainage area layer. During implementation, the drainage area base map can be drawn in conjunction with the actual survey results and the specific circumstances described by the relevant responsible persons. The DEM (elevation data) of the study area is then divided using the divided drainage area base map.

[0045] S2: Calculate the flow rate of pipelines, sluice gates and pumping stations in each drainage area, and calculate the drainage capacity of the drainage area.

[0046] S3: Calculate the water level-volume (ZV) curve for each drainage area. Implementation includes: generalizing each drainage area into a grid; taking different water level values; multiplying the area of ​​each grid by the current water depth to obtain the water storage capacity of the current grid; summing all grids with a water storage capacity greater than zero to obtain the volume corresponding to the current water level; recalculating the volume by changing the water level values ​​to obtain the final volume. Figure 2 The water level-volume curve is shown.

[0047] S4: Based on the water level-volume curve of each drainage area, determine the relationship curve between the maximum volume and precipitation for each drainage area under different rainfall durations and rainfall patterns, including the following steps:

[0048] S401: Collect historical rainfall data, including rainfall data of different durations and different rainfall types; select a time period Δt, and plot the data as shown below. Figure 3 The rainfall curve shown is illustrated. During implementation, different durations were included: 3 hours, 6 hours, 24 hours, 3 days, and 7 days. Different rainfall types were included: light rain, moderate rain, heavy rain, and torrential rain.

[0049] S402: Import the three-dimensional coordinates of the location of each device into the drainage area layer; use the point rainfall of each water level station in the drainage area to which the device is located to calculate the areal rainfall of the drainage area by constructing the Thiessen polygon method, and use the following formula to obtain the water storage of the drainage area in each time period;

[0050] V t =V0+IΔt-OΔt

[0051] In the formula: V t The unit is m³ for calculating the water storage in the drainage area at the end of the time period. 3 I represents the rainwater harvesting capacity of the drainage area, in meters (m³). 3 / s; O represents the drainage capacity of the drainage area, in meters. 3 / s includes the flow rate discharged by gravity through sluice gates and pumped by pumping stations. In the calculation, it is assumed that the initial water storage in the drainage area is 0. Since the water storage cannot be negative, the water storage remains 0 until the areal rainfall reaches the drainage capacity of the drainage area.

[0052] S403: Based on the water storage volume of the drainage area in each time period, draw the following diagram: Figure 5 The water storage process curve shown is a curve showing the relationship between water storage and time.

[0053] S404: Based on the drainage capacity of the drainage area and the rainfall process curve (see...) Figure 4 ), drawn as Figure 4 The drainage process curve shown is a curve relating drainage capacity to time. Figure 4 The straight line represents the drainage process curve, and the inverted V-shaped curve represents the rainfall process curve.

[0054] S405: According to... Figure 5 The water storage process curve shown indicates the maximum volume value corresponding to the maximum water storage.

[0055] S406: Set different rainfall intensities, rainfall durations, and rainfall types, and repeat the above calculations to obtain the corresponding maximum volumes; obtain as shown below. Figure 6 The curves showing the relationship between maximum volume and precipitation for different rainfall intensities, durations, and types of rainfall are shown.

[0056] S5: Based on the relationship curve between maximum volume and precipitation, and the elevation of each piece of equipment within the drainage area, determine the current flood control capacity of the equipment within the drainage area. Implementation may include: determining the elevation of each piece of equipment; querying the water level-volume curve of the current drainage area using the elevation of each piece of equipment to obtain the corresponding drainage area storage capacity; querying the relationship curve between maximum volume and precipitation using the drainage area storage capacity to obtain the corresponding rainfall amount; and querying the rainstorm and flood calculation manual of the relevant province to obtain the rainfall frequency curve, thus determining the current flood control capacity of the power transmission and transformation equipment.

[0057] S6: Based on the area and relative depth of the depression, calculate the rainstorm flooding depth of the equipment in the drainage area. When the rainstorm flooding depth of the equipment reaches or exceeds the threshold, it is determined that the equipment in the depression is affected by the disaster.

[0058] For areas defined as key low-lying and flood-prone research objects through drainage area calculation, there is no need to conduct low-lying area analysis. The rainstorm inundation depth of the power transmission and transformation equipment of interest can be determined by using the above-mentioned drainage area ZV curve.

[0059] S601: Identify the depressions that need to be studied.

[0060] By analyzing the DEM (Diagram of Buildings), depressions within the drainage area are examined. Depressions are filtered based on their area and relative depth; those below a fixed threshold are excluded from analysis. Topological relationship analysis is performed between the building layer and the depression layer to determine if equipment exists in the current depression, thus determining whether the depression requires further investigation.

[0061] S602: Based on the area and relative depth of the depression, the depression is generalized into a regular water tank. The placement depth of the equipment within the water tank is calculated. The rainfall process curve is consulted, and when the water depth in the tank reaches or exceeds a fixed threshold determined based on the placement depth, the equipment in the depression is considered to be affected by a disaster. In practice, due to the limitations of DEM accuracy, the ZV curve and Vmax-P curve of some depressions cannot be accurately obtained. Therefore, the depression can be generalized into a regular water tank based on its area and relative depth. Since the depression lacks drainage capacity, and the water in the tank comes from rainfall, for safety reasons, it can be assumed that the equipment is at the bottom of the water tank. When the water depth in the tank reaches a certain threshold (generally 0.1-0.5m), the equipment is considered to be affected by a disaster.

[0062] The present invention also provides a computer system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the above embodiments.

[0063] In summary, the rapid prediction method and system for storm flooding of power grid transmission and transformation equipment of the present invention can identify and divide typical areas into drainage zones based on the geographical location characteristics of the transmission and transformation equipment, calculate the drainage capacity of the drainage zones, obtain the relationship curve between the maximum volume of the drainage zone and precipitation, further calculate the flood control capacity of the drainage zones, and finally obtain the storm flooding depth of typical areas. This method does not require complex integral and differential calculations, has high computational efficiency, and can meet the timeliness requirements of storm flooding early warning. The principle is clear, the operation is convenient, and it has high practical value; it has important guiding significance for the planning and operation of power transmission and transformation equipment in areas prone to storm flooding.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A rapid prediction method for rainstorm flooding of power grid transmission and transformation equipment, characterized in that, Includes the following steps: Obtain the range data of the drainage area and draw the drainage area base map; divide the drainage area according to the drainage area base map and elevation data, and generate the drainage area layer; Statistical analysis of the flow rates of pipelines, sluice gates, and pumping stations within each drainage area, and calculation of the drainage capacity of each drainage area; Calculate the water level-volume curve for each drainage area; Determine the relationship curves between maximum volume and precipitation for each drainage area under different rainfall durations and rainfall patterns, including: Collect historical rainfall data, including rainfall data of different durations and different rainfall types; select a time period Δt and plot the rainfall process curve; Import the three-dimensional coordinates of each device's location into the drainage area layer; use the point rainfall of each water level station in the drainage area to which the device is located to calculate the areal rainfall of the drainage area by constructing the Thiessen polygon method; and use the following formula to obtain the water storage of the drainage area in each time period. In the formula: V t The unit is m³ for calculating the water storage capacity of the drainage area at the end of the calculation period. I O represents the rainwater collection capacity of the drainage area, in m³ / s; O represents the drainage capacity of the drainage area, in m³ / s. Based on the water storage volume of the drainage area in each time period, a water storage process curve is plotted, which is the relationship curve between water storage volume and time. Find the maximum volume corresponding to the maximum water storage capacity based on the water storage process curve; By setting different rainfall intensities, rainfall durations, and rainfall types, the above calculations were repeated to obtain the corresponding maximum volumes; the relationship curves between the maximum volume and precipitation were obtained for different rainfall intensities, rainfall durations, and rainfall types. Determine the current flood control capacity of the equipment within the drainage area, including: Determine the elevation of each device, query the water level-volume curve of the current drainage area using the elevation of each device, and obtain the maximum volume of the drainage area corresponding to the water level; query the relationship curve between the maximum volume and precipitation using the maximum volume of the drainage area to obtain the corresponding rainfall, query the rainstorm and flood calculation manual of the corresponding province to obtain the rainfall frequency curve, and obtain the current flood control capacity of the current power transmission and transformation equipment. For depressions, since it is impossible to obtain their water level-volume curves and the relationship curve between maximum volume and precipitation accurately, the depressions are generalized into regular water tanks based on their area and relative depth. The placement depth of the equipment in the water tank is calculated, and the water depth in the water tank is obtained by querying the rainfall process curve. When the water depth in the water tank reaches or exceeds a fixed threshold determined based on the placement depth, it is determined that the equipment in the depression is damaged.

2. The rapid prediction method for rainstorm flooding of power grid transmission and transformation equipment according to claim 1, characterized in that, The calculation of the water level-volume curve for each drainage area includes: generalizing each drainage area into a grid, taking different water level values, multiplying the area of ​​each grid by the current water depth value to obtain the water storage capacity of the current grid, adding all grids with water storage capacity greater than zero to obtain the volume corresponding to the current water level; changing the water level value to recalculate the volume, and obtaining the water level-volume curve.

3. The rapid prediction method for rainstorm flooding of power grid transmission and transformation equipment according to claim 1, characterized in that, The different durations include 3 hours, 6 hours, 24 hours, 3 days, and 7 days.

4. The rapid prediction method for rainstorm flooding of power grid transmission and transformation equipment according to claim 2, characterized in that, The method further includes the following steps: Based on the selected depressions in the sorting area layer, depressions below a fixed threshold are removed according to their area and relative depth. By performing topological relationship analysis on the house layer and depression map layer within the drainage area layer, it is determined whether there are devices in the current depression, and depressions without devices are removed.

5. A computer system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

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