Substation flood prevention optimization design modeling method and system based on grid division

Abstract

The application provides a substation flood prevention optimization design modeling method and system based on grid division, relates to the substation flood prevention optimization technical field, and first divides a substation area according to multiple schemes to determine an optimal grid scheme with the minimum non-grid area as the target; the stability of each grid foundation is analyzed based on the foundation parameters, and N stability grades are divided; then, the equipment in the station is classified according to the electrical rules and the priority is determined, the storable grid is determined according to the minimum stability requirement of the equipment; then, the dynamic stability index of all feasible storage schemes of each equipment is calculated according to the priority order, the optimal scheme is selected to arrange the equipment; finally, the flood prevention optimization layout is completed by traversing all the equipment, and the layout model of the equipment is constructed according to the final scheme. The method comprehensively considers the foundation stability, the influence of adjacent grids and the priority of the equipment, realizes the scientific layout of the substation equipment by the grid division and the intelligent optimization algorithm.

Description

Technical Field

[0001] The present invention relates to the technical field of substation flood control optimization, and in particular to a substation flood control optimization design modeling method and system based on grid division. Background Art

[0002] As a key hub of the power system, the flood control capability of the substation is directly related to the safe and stable operation of the power grid. In recent years, due to the influence of extreme weather, flood disasters have occurred frequently, resulting in damage to substation equipment and power outages. Traditional flood control designs mainly adopt passive protection measures such as raising the station site elevation and building flood walls. They lack differentiated protection for equipment within the station and detailed assessment of foundation stability, making it difficult to cope with complex and changeable flood conditions. In existing technologies, equipment layout is mostly based on electrical wiring requirements, and the matching relationship between the foundation bearing capacity and the importance of equipment is not fully considered. When floods strike, key equipment may be damaged due to foundation instability, seriously affecting the recovery capacity of the power system.

[0003] Furthermore, current substation flood control optimization methods often adopt a holistic protection strategy, failing to integrate grid-based zoning concepts for detailed analysis of the substation area, resulting in uneven distribution of flood control resources. While some studies have considered foundation parameters, they have not established a mechanism to link equipment priority with foundation stability, making it impossible to achieve the optimal layout of key equipment. Furthermore, existing solutions lack an assessment of the dynamic impact of equipment layout, making it difficult to optimize the coordinated flood control effect among equipment.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] The purpose of the present invention is to provide a grid-based substation flood control optimization design modeling method and system to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A grid-based modeling method for substation flood control optimization design includes the following steps:

[0008] Step 1: Divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of division schemes, determine the non-grid area in each group of division schemes, and select the division scheme with the smallest non-grid area as the final grid division scheme;

[0009] Step 2: Analyze the foundation parameters of each grid, determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels based on the stability;

[0010] Step 3: Divide the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment to determine the grid where each device can be stored;

[0011] Step 4: Determine the placement order of each device in order of priority. When placing a device, obtain all placement options for the device based on the number of grids it requires and the available grids. Calculate the dynamic stability index corresponding to each placement option and place the device according to the placement option with the highest dynamic stability index.

[0012] Step 5: Traverse all devices that need to be laid out, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation.

[0013] Furthermore, determining the grid division scheme specifically includes:

[0014] Determine the geometric center point of the substation to be optimized, determine the size of the divided grid, and construct a central grid whose center coincides with the geometric center point;

[0015] Expand multiple grids outward from the central grid to ensure that all grids cover all areas of the substation to be optimized. When all grids cover all areas of the substation to be optimized, the grid division scheme at this time is used as the initial grid division scheme, and all grid directions in the initial grid division scheme are aligned with the horizontal direction of the coordinate system;

[0016] Set the initial rotation angle to 0, and rotate all grids counterclockwise around the geometric center point synchronously. After each rotation of 2 degrees, a new grid division scheme is formed, and the area of ​​the non-grid region in each grid division scheme is calculated;

[0017] The rotation stops when it rotates 360 degrees, and all grid division schemes are sorted according to the size of the non-grid area. The scheme corresponding to the minimum non-grid area is selected as the final grid division scheme.

[0018] Furthermore, the foundation parameters include geotechnical parameters and hydrological parameters. The geotechnical parameters include geotechnical type, foundation bearing capacity, cohesion, internal friction angle and compression modulus. The hydrological parameters include groundwater level and permeability coefficient.

[0019] Geotechnical types include clay, sand, and gravel. Different basic scores are assigned to each type of geotechnical through the expert scoring method, and the basic scores are used to represent the geotechnical attribute items. The maximum bearing capacity and maximum compression modulus of the substation area to be optimized are obtained, and the foundation bearing capacity, cohesion, internal friction angle, compression modulus and groundwater level parameters are analyzed. The ratio of foundation bearing capacity to maximum bearing capacity is used to represent the anti-settlement item, the ratio of compression modulus to maximum compression modulus is used to represent the anti-deformation item, the ratio of the product of internal friction angle and cohesion to the estimated value of flood impact force is used to represent the anti-shear item, and the difference between the ratio of groundwater level to critical groundwater level and 1 is used to represent the anti-liquefaction item. The corresponding permeability coefficient score is then assigned to the permeability coefficient through the expert scoring method, and the permeability coefficient score is used to represent the drainage anti-seepage item.

[0020] Furthermore, the logic for classifying the stability levels of each grid is as follows:

[0021] The weighted sum of the geotechnical property item, anti-settlement item, anti-deformation item, anti-shear item, anti-liquefaction item, and drainage and anti-seepage item of each grid is performed to obtain the foundation stability index of each grid, and the index is used to analyze the stability of the foundation of each grid;

[0022] Five stability levels are divided, namely level 5, level 4, level 3, level 2 and level 1. The higher the level, the higher the stability. Then, based on the distribution of the foundation stability index, five foundation stability index intervals are divided. Each interval corresponds to a stability level, thereby determining the stability level of each grid.

[0023] Furthermore, the storage grid for each device is determined to include:

[0024] According to electrical regulations, the equipment installed in the substation to be optimized is divided into five categories: high-voltage equipment, medium-voltage equipment, low-voltage and control equipment, auxiliary equipment, and other equipment. The first priority of the five categories decreases from high to low. The storage order of each device is determined in descending order of the first priority. For devices with the same first priority, the storage order is determined in descending order of the second priority.

[0025] The minimum stability level of high-voltage equipment is level 5, the minimum stability level of medium-voltage equipment is level 4, the minimum stability level of low-voltage and control equipment is level 3, the minimum stability level of auxiliary equipment is level 2, and the minimum stability level of other equipment is level 1. The minimum foundation stability index of each equipment is determined, which is the minimum value of the foundation stability index range corresponding to the minimum stability level;

[0026] The lowest foundation stability index of each device is compared with the foundation stability index of each grid, and all grids capable of storing the device are determined as the storable grids for the device.

[0027] Furthermore, the second priority is determined based on the equipment's minimum foundation stability index, equipment size, and equipment weight. The judgment order is: the higher the equipment's minimum foundation stability index, the larger the equipment size, and the larger the equipment weight, the higher the second priority. If there are some equipment with the same first priority and second priority, the relative storage order of these equipment is randomly determined.

[0028] Furthermore, calculating the dynamic stability index specifically includes:

[0029] Determine the number of grids that each device needs to occupy, and calculate the dynamic stability index corresponding to each storage plan of the device. The calculation formula is:

[0030]

[0031] Among them, S(d) represents the dynamic stability index of the d-th storage solution, d is the index of the storage solution, M represents the number of grids that the device needs to occupy, and F i (d) represents the foundation stability index of the i-th storage grid in the d-th storage scheme, i is the index of the storage grid in the storage scheme, P is the number of grids adjacent to the storage grid in the storage scheme, η j (d) represents the occupancy status of the jth grid adjacent to the storage grid in the dth storage scheme. If the grid is occupied, then η j (d)=1, otherwise η j (d) = 0, F j (d) represents the foundation stability index of the jth grid adjacent to the storage grid in the dth storage scheme, where j is the grid index adjacent to the storage grid, α and β represent the weight coefficients of the corresponding items, satisfying α + β = 1, λ is the penalty weight coefficient, and OP is the conflict penalty item. If the scheme overlaps with the occupied grid of the placed high-priority device, the penalty value is the product of the number of overlapping grids and the first priority difference, where the priority difference is the difference between the priority of the device corresponding to the scheme and the priority of the device already placed in the overlapping grid;

[0032] All storage solutions for the same device are sorted based on the dynamic stability index, and the solution with the highest dynamic stability index is selected to store the device; all devices are traversed until all devices are stored.

[0033] The present invention further provides a grid-based substation flood control optimization design modeling system, which is used to implement the above-mentioned grid-based substation flood control optimization design modeling method, including:

[0034] The gridding optimal partitioning module is used to divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of partitioning schemes, determine the non-grid areas in each group of partitioning schemes, and select the partitioning scheme with the smallest non-grid area as the final grid partitioning scheme;

[0035] The foundation stability scoring module is used to analyze the foundation parameters of each grid, determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels based on the stability;

[0036] The equipment and grid matching module is used to classify the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment, so as to determine the grid where each equipment can be stored;

[0037] The dynamic stability optimization layout module is used to determine the storage order of each device in order of priority. When storing a device, all storage options for the device are obtained based on the number of grids required and available for storage. The dynamic stability index corresponding to each storage option is calculated, and the corresponding device is stored according to the storage option with the highest dynamic stability index.

[0038] The global device deployment decision module is used to traverse all devices that need to be deployed, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation.

[0039] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0040] The present invention significantly improves the flood control safety and equipment protection capabilities of the substation through grid-based fine zoning, graded assessment of foundation stability, and dynamic optimization layout of equipment. Compared with traditional passive flood control designs, the present invention can achieve the optimal location of key equipment based on the bearing characteristics of the foundation and the differences in equipment importance, ensuring that important equipment such as high voltage and medium voltage are preferentially arranged in high stability areas, reducing the risk of instability under flood impact. At the same time, through the calculation of the dynamic stability index, the influence of adjacent grids and equipment priority conflicts are comprehensively considered to optimize the collaborative flood control effect between equipment, avoiding the local weakness problem caused by traditional uniform layout. In addition, the use of rotating grid division can minimize the area of ​​non-grid areas, improve the utilization efficiency of substation land resources, and provide a more accurate spatial planning basis for the implementation of flood control reinforcement measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of the overall method flow of the present invention;

[0042] Figure 2 Schematic diagram of the boundary of the substation area to be optimized;

[0043] Figure 3 Schematic diagram of mesh division;

[0044] Figure 4 Schematic diagram of the distribution of foundation stability index of the grid;

[0045] Figure 5 Place flow diagrams for some equipment;

[0046] Figure 6 This is a comparison chart of foundation stability;

[0047] Figure 7 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0048] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0049] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0050] Example:

[0051] See also Figures 1-6 , the present invention provides a technical solution:

[0052] A grid-based modeling method for substation flood control optimization design includes the following steps:

[0053] Step 1: Divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of division schemes, determine the non-grid area in each group of division schemes, and select the division scheme with the smallest non-grid area as the final grid division scheme;

[0054] In this embodiment, determining the grid division scheme specifically includes:

[0055] Determine the geometric center point of the substation to be optimized. The geometric center point refers to the geometric center of gravity or centroid of the substation area to be optimized in the plane coordinate system. It can be calculated by the following method: for polygonal areas, the coordinates of the geometric center point can be calculated by the average value of the coordinates of the polygon vertices. The horizontal coordinate of the geometric center is the average value of the horizontal coordinates of all the vertices of the polygon, and the vertical coordinate is the average value of the vertical coordinates of all the vertices of the polygon. In addition, for complex shapes, the geometric center point can be automatically extracted by image processing or CAD software.

[0056] The length of the divided grid is determined to be L and the width is H, for example, the length is 5m and the width is 4m. A square grid of 5m×5m can also be constructed. A central grid is constructed based on the geometric center point, and the central grid coincides with the geometric center point.

[0057] Starting from the center grid, add grids in the four directions (up, down, left, and right). After adding grids in each of the four directions, check whether the coverage of all current grids completely includes the substation area to be optimized. If so, stop expanding; otherwise, continue expanding the grids.

[0058] Ensure that all grids cover all areas of the substation to be optimized. When all grids cover all areas of the substation to be optimized, the grid division scheme at this time is used as the initial grid division scheme, and all grid directions in the initial grid division scheme are aligned with the horizontal direction of the coordinate system. Figure 2 and Figure 3 As shown in the figure, it is assumed that the substation is Figure 2 The hexagonal shape in Figure 3 The grid division method in [1] is used to divide the substation area to be optimized. The black box represents the divided grid area, the red border represents the boundary of the substation, and the remaining blank area is the non-grid area.

[0059] Set the initial rotation angle to 0, and all grids rotate counterclockwise around the geometric center point synchronously. After each rotation of 2 degrees, it is used as a new set of grid division schemes. Calculate the area of ​​the non-grid area in each grid division scheme. The calculation formula is as follows:

[0060] A non-grid (θ)=A total -N grid (θ)×L×H

[0061] Among them, A non-grid (θ) represents the area of ​​the non-grid region when rotated by θ degrees, A total Indicates the area of ​​the substation, N grid (θ) represents the number of complete grids that fall completely inside the substation area when rotated by θ degrees, L is the grid length, and H is the grid width;

[0062] The rotation stops when the rotation angle reaches 360 degrees. For each set of rotated grid division schemes, the area of ​​the non-grid area is calculated, and all grid division schemes are sorted according to the size of the non-grid area. The scheme corresponding to the minimum area of ​​the non-grid area is selected as the final grid division scheme.

[0063] Step 2: Analyze the foundation parameters of each grid, determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels based on the stability;

[0064] In this embodiment, the foundation parameters include geotechnical parameters and hydrological parameters. The geotechnical parameters include geotechnical type, foundation bearing capacity, cohesion, internal friction angle, and compression modulus. The hydrological parameters include groundwater level and permeability coefficient.

[0065] Geotechnical types include clay, sand, and gravel. Different basic scores are assigned to each type of geotechnical type through the expert scoring method, and the basic scores are used to represent the geotechnical attribute items. The maximum bearing capacity and maximum compression modulus of the substation area to be optimized are obtained, and parameters such as foundation bearing capacity, cohesion, internal friction angle, compression modulus, and groundwater level are analyzed. The ratio of foundation bearing capacity to maximum bearing capacity is used to represent the anti-settlement item, the ratio of compression modulus to maximum compression modulus is used to represent the anti-deformation item, the ratio of the product of internal friction angle and cohesion to the estimated flood impact force is used to represent the anti-shear item, and the difference between the ratio of groundwater level to critical groundwater level and 1 is used to represent the anti-liquefaction item. The corresponding permeability coefficient score is then assigned to the permeability coefficient through the expert scoring method, and the permeability coefficient score is used to represent the drainage and anti-seepage item.

[0066] In this embodiment, the logic for classifying the stability levels of each grid is as follows:

[0067] The weighted sum of the geotechnical property item, anti-settlement item, anti-deformation item, anti-shear item, anti-liquefaction item, and drainage and anti-seepage item of each grid is performed to obtain the foundation stability index of each grid, and the index is used to analyze the stability of the foundation of each grid;

[0068] The specific formula for calculating the foundation stability index of each grid is as follows:

[0069]

[0070] Among them, F o is the foundation stability index of the oth grid, f(S o ) represents the basic score of the oth grid soil type, S o Indicates the geotechnical type of the oth grid, C o represents the foundation bearing capacity of the oth grid, C ref is the maximum carrying capacity of the substation area to be optimized, r orepresents the cohesion of the oth grid, Ф o represents the internal friction angle of the oth grid, P flood Denotes the estimated value of flood impact force, E o represents the compression modulus of the oth grid, E ref represents the maximum compression modulus of the substation to be optimized, W o represents the groundwater level of the oth grid, W crit represents the critical groundwater level of the substation to be optimized, represents the permeability score of the oth grid, k o represents the permeability coefficient of the o-th grid, ω1, ω2, ω3, ω4, ω5, and ω6 are the weight coefficients of each term, 0<ω4<ω1=ω2=ω6<ω5<ω3<1, and ω1+ω2+ω3+ω4+ω5+ω6=1.

[0071] Assume that the final grid division method is as follows Figure 3 As shown, according to Figure 3 The grid division method can be obtained as follows Figure 4 The schematic diagram of the foundation stability index distribution of the grid shown in the figure is shown. In this embodiment, 30 groups of sample grid data were statistically analyzed. The foundation stability index of each sample was obtained through the above foundation stability index calculation. The foundation stability status of each sample grid was obtained through actual measurement. The foundation stability status of each sample grid was normalized to obtain the data in the third column of the following table, as shown in the following table:

[0072] Table 1: Comparison of foundation stability index obtained by different methods

[0073] Experimental grid number Foundation stability index Measured foundation stability 1 1.125 1.15 2 0.748 0.76 3 0.692 0.7 4 0.523 0.54 5 0.558 0.53 6 1.102 1.01 7 0.71 0.73 8 0.653 0.62 9 0.497 0.51 10 0.532 0.55 11 1.075 1.1 12 0.665 0.68 13 0.615 0.59 14 0.47 0.47 15 0.505 0.53 16 1.048 1.08 17 0.623 0.64 18 0.577 0.55 19 0.443 0.45 20 0.478 0.48 21 1.02 1.1 22 0.58 0.59 23 0.54 0.54 24 0.417 0.39 25 0.45 0.43 26 0.993 1.1 27 0.538 0.52 28 0.502 0.5 29 0.39 0.39 30 0.423 0.47

[0074] Combine Figure 6 , and the data in the above table show that the deviation between the foundation stability index and the measured foundation stability state is small, indicating that the physical meaning and weight distribution of the foundation stability index calculation formula are reasonable. Therefore, the above foundation stability index calculation formula can well quantify the foundation stability of each grid. The above foundation stability index calculation formula in this embodiment provides a specific and quantitative way to analyze the foundation stability of each grid. The measurement methods include in-situ testing: directly measuring the shear strength, density and liquefaction potential of the soil through standard penetration tests, static penetration tests and cross-plate shear tests; dynamic monitoring: such as in flood simulation experiments, installing displacement sensors and pore water pressure gauges to monitor the settlement, lateral displacement and liquefaction of the foundation in real time; drainage capacity testing: such as verifying the actual performance of the permeability coefficient through pumping tests or penetration tests.

[0075] The geotechnical type of each grid is obtained through borehole sampling, laboratory analysis, and geotechnical engineering survey reports during the construction of the optimized substation. Geotechnical types can be further categorized into bedrock, gravel, clay, sand, and silt. Expert scoring assigns a corresponding foundation score based on the geotechnical type. A higher foundation score indicates greater flood resistance, less impact on the foundation after a flood, and better stability. Specifically, the scoring method assigns a bedrock foundation score of 1.2 because bedrock has extremely high scour resistance and bearing capacity; a gravel foundation score of 1 because gravel is highly permeable but structurally stable; a clay foundation score of 0.8 because it has low permeability but is easily softened; a sand foundation score of 0.6 because sand is easily liquefied and has low shear resistance; and a silt foundation score of 0.5 because silt is prone to settlement and has the lowest shear strength.

[0076] The foundation bearing capacity represents the maximum load that the foundation can withstand per unit area. This is determined through field tests on each grid, such as plate load tests, standard penetration tests, and static penetration tests. Alternatively, it can be determined by referring to the bearing capacity ranges for typical soil layers provided in building foundation design specifications. The foundation bearing capacity of all grids in the substation to be optimized is analyzed, and the maximum value among all grids is selected as the maximum bearing capacity of the substation to be optimized. Alternatively, the recommended value in the specification, such as 500 kPa for bedrock, can be used.

[0077] Cohesion represents the bonding force between soil particles, and the internal friction angle represents the soil shear strength parameter. The cohesion and internal friction angle of each grid are measured through direct shear tests or triaxial tests. For soft clay types, they can also be obtained through cross-plate shear tests. Of course, for grids that are inconvenient to measure, empirical values ​​can also be used. For example, the internal friction angle of sand is about 30°, and the cohesion of clay is about 10kPa-50kPa. The estimated value of flood impact force reflects the dynamic water pressure of the flood on the foundation. It can be obtained based on empirical values. For example, the estimated value of flood impact force for slow-flowing floods is about 1kPa-5kPa, and the estimated value of flood impact force for rapid-flowing floods is about 5kPa-20kPa. It can also be estimated based on the flood flow rate during the most recent flood. The specific calculation formula is: Among them, P flood Represents the estimated value of flood impact force, ρ represents the density of flood, here we use the density of water to calculate, and v is the flood flow rate.

[0078] The compression modulus indicates the soil's ability to resist deformation under load. It can be obtained through consolidation tests or empirically determined. For example, the compression modulus for sand is 2 MPa-50 MPa, and the compression modulus for clay is 1 MPa-20 MPa. Similarly, the maximum compression modulus of all grids in the substation to be optimized is selected as the maximum compression modulus of the substation to be optimized.

[0079] Obtain groundwater level data for each grid by installing a water level gauge or pressure sensor in a central borehole in the grid, or by consulting local hydrogeological reports or meteorological bureau data. The critical groundwater level reflects the level above which the risk of soil liquefaction increases significantly. This critical water level can be calculated using a standard penetration test combined with an empirical formula. In general projects, the critical water level is 1-1.5 meters below the surface.

[0080] The permeability coefficient characterizes the drainage capacity and anti-seepage stability. The permeability coefficient determines the drainage speed during floods. High permeability coefficients, such as sandy soils, drain quickly but are easily eroded, and the corresponding permeability coefficient score should be low; low permeability coefficients, such as clay soils, drain slowly but are resistant to erosion, and the corresponding permeability coefficient score should be high. For example, when the permeability coefficient value is greater than 10 -4 , the corresponding permeability coefficient score is set to 0.6, because the permeability coefficient in this range reflects that the soil drains quickly but is prone to instability; when the permeability coefficient value range is [10 -6 ,10 -4 ], the permeability score is set to 0.8, because the permeability in this range reflects that the soil has a balance between drainage and impermeability; when the permeability is less than 10 -6 When the permeability coefficient is 1, the permeability coefficient score is set to 1 because the permeability coefficient in this range reflects the strong impermeability of the soil.

[0081] In this embodiment, the weights for the various weight coefficients are typically higher, such as 0.25 and 0.2, respectively. This is because under flood conditions, soil shear failure, such as scour, landslides, and liquefaction risks, such as saturated sand instability, is the primary mechanism leading to foundation failure and directly affects the stability of the equipment. Especially for sandy or silty soil foundations, the internal friction angle and groundwater level play a more significant role, so the weights of these two items need to be prioritized. Secondly, the weights of the geotechnical properties and anti-settlement items can be set to medium, such as 0.15 or 0.2. Geotechnical type is the fundamental property of foundation stability, and bearing capacity is directly related to the risk of settlement under equipment load. For example, bedrock or dense clay has high natural stability, but insufficient bearing capacity can still cause equipment to tilt, so these two items need to be considered in a balanced manner. The weights of the anti-deformation item and drainage and anti-seepage item can be slightly lower, such as 0.1 or 0.15. The compression modulus mainly affects long-term settlement, while the permeability coefficient determines the drainage rate. Both are relatively less sensitive to the instantaneous impact of floods. However, it should be noted that in clay foundations, low permeability may lead to water softening, in which case the weight of ω6 can be appropriately increased.

[0082] In summary, the principle for weight allocation prioritizes direct flood damage mechanisms, such as shear and liquefaction, followed by foundation soil properties, such as geotechnical type and bearing capacity, and finally long-term or indirect factors, such as deformation and drainage. Therefore, a weight combination of ω4 = 0.1, ω1 = ω2 = ω6 = 0.15, ω5 = 0.2, and ω3 = 0.25 is proposed. The constraint that all weight coefficients sum to 1 ensures that the foundation stability index is a normalized indicator, ensuring that the total contribution of the weighted combination of multiple factors is 100%. This allocation not only highlights key flood mitigation factors but also avoids the dominance of a single parameter, meeting actual project requirements. Furthermore, the weights can be further calibrated using the analytic hierarchy process to adapt to the geological characteristics of different substations.

[0083] The foundation stability index, the dependent variable of the formula, comprehensively quantifies the substation grid's ability to resist damage under flood conditions. Higher values ​​indicate greater foundation stability. This index integrates key factors such as geotechnical properties, bearing capacity, shear strength, deformation resistance, liquefaction resistance, and drainage characteristics, providing a scientific basis for flood control design. Its technical benefit lies in transforming complex foundation stability issues into calculable indicators, thereby guiding the optimization of equipment layout. For example, high-priority equipment can be prioritized on grids with higher indexes to avoid equipment damage due to flood erosion or liquefaction, ultimately improving the substation's overall flood control reliability.

[0084] The independent variables in the formula (such as geotechnical type, bearing capacity, cohesion, and internal friction angle) are directly related to the physical response of the foundation to flooding. For example, geotechnical type determines permeability and scour resistance; clay is impermeable but softens easily, while sand drains quickly but liquefies easily. Bearing capacity and compression modulus reflect the ability to resist settlement under load. Cohesion and internal friction angle together constitute shear strength, which resists flood scour forces. Groundwater level and permeability coefficient influence liquefaction risk and drainage efficiency. These parameters were selected based on soil mechanics principles and flood damage models to ensure that the independent variables comprehensively cover the main contradictions in foundation stability.

[0085] Among the independent variables, those positively correlated with the foundation stability index include the geotechnical type score, bearing capacity ratio, shear resistance, compression modulus ratio, and permeability score. Higher values ​​for these parameters indicate a higher foundation stability index. For example, bedrock or high bearing capacity significantly improves the foundation stability index. The only variable negatively correlated with the foundation stability index is the groundwater level ratio. As the groundwater level increases, this term approaches zero, lowering the foundation stability index and reflecting an increased risk of liquefaction.

[0086] Five stability levels are divided, namely level 5, level 4, level 3, level 2 and level 1. The higher the level, the higher the stability. Then, based on the distribution of the foundation stability index, five foundation stability index intervals are divided. Each interval corresponds to a stability level, thereby determining the stability level of each grid.

[0087] In this embodiment, the range of foundation stability index corresponding to different stability levels is specifically determined as follows: Level 5 represents extremely high stability, and the corresponding foundation stability index range is F o ≥0.9, level 4 indicates high stability, and the corresponding foundation stability index range is 0.7≤F o <0.9, level three indicates medium stability, and the corresponding foundation stability index range is 0.5≤F o <0.7, level 2 indicates low stability, and the corresponding foundation stability index range is 0.3≤F o <0.5, level 1 indicates extremely low stability, and the corresponding foundation stability index range is F o <0.3.

[0088] Step 3: Divide the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment to determine the grid where each device can be stored;

[0089] In this embodiment, determining the storage grid for each device specifically includes:

[0090] According to electrical regulations, the equipment installed in the substation to be optimized is divided into five categories: high-voltage equipment, medium-voltage equipment, low-voltage and control equipment, auxiliary equipment, and other equipment. The first priority of the five categories decreases from high to low. The storage order of each device is determined in descending order of the first priority. For devices with the same first priority, the storage order is determined in descending order of the second priority.

[0091] For example, high-voltage equipment includes main transformers, high-voltage circuit breakers, etc., medium-voltage equipment includes capacitor banks, medium-voltage cable joints, busbar bridges, etc., low-voltage and control equipment includes low-voltage distribution cabinets, automation control cabinets, etc., auxiliary equipment includes station transformers, maintenance power boxes, etc., and other equipment includes storage cabinets, oil treatment equipment, etc.

[0092] The corresponding minimum stability level for each type of equipment is as follows: the minimum stability level for high-voltage equipment is level five, the minimum stability level for medium-voltage equipment is level four, the minimum stability level for low-voltage and control equipment is level three, the minimum stability level for auxiliary equipment is level two, and the minimum stability level for other equipment is level one, thereby determining the minimum foundation stability index for each device, which is the minimum value of the foundation stability index range corresponding to the minimum stability level.

[0093] Equipment priority is primarily based on its criticality within the power system, the severity of its failure consequences, and the scope of its impact on grid operations. High-voltage equipment, such as main transformers and high-voltage circuit breakers, typically performs core functions in power transmission and distribution. Damage to these devices during floods can lead to widespread power outages or even regional grid collapse, creating a global and catastrophic impact. Therefore, high-voltage equipment must be assigned the most stable foundation grid to ensure stable operation during floods. This is the primary goal of flood mitigation design. Medium-voltage equipment, while slightly less critical than high-voltage equipment, remains a crucial link in the power grid. Failures in equipment such as medium-voltage switchgear and capacitor banks can cause localized power outages, impacting important users or critical loads. These devices have a lower flood mitigation priority than high-voltage equipment, but they still require a highly stable foundation to ensure their operation. Low-voltage and control equipment, while operating at lower voltage levels, includes critical secondary equipment such as relay protection and automation controls. Water intrusion into these devices can lead to malfunctioning or failure of protection, potentially triggering cascading failures. However, due to the smaller size and relatively limited scope of failure, the foundation stability requirements for these devices can be appropriately relaxed. Auxiliary and other equipment, such as station transformers and lighting systems, primarily support grid operations. Failures in these devices typically don't directly cause power outages and can be replaced with temporary measures, thus receiving the lowest priority for flood control. During grid allocation, these devices only need to meet basic foundation stability requirements, freeing up more stable grid resources for more critical equipment. This prioritization approach considers both the technical importance of equipment and the optimal allocation of flood control resources, ensuring maximum overall grid security within limited flood control capabilities.

[0094] The equipment installed in the substation to be optimized can also be divided into four categories, namely core-level equipment, protection and control equipment, auxiliary system equipment, and general support equipment. Core-level equipment includes transformers, high-voltage circuit breakers, GIS, etc. Protection and control equipment includes relay protection devices, SCADA systems, synchronous phasor measurement devices, etc. Auxiliary system equipment includes station transformers, DC power supply systems, communication equipment, etc. General support equipment includes lightning arresters, cables, insulators, grounding devices, etc. The corresponding minimum stability level of each type of equipment is specifically as follows: the minimum stability level of core-level equipment is level five, the minimum stability level of protection and control equipment is level four, the minimum stability level of auxiliary system equipment is level three, and the minimum stability level of general support equipment is level one.

[0095] The stability level can also be divided into four levels, namely level four, level three, level two and level one. The higher the level, the higher the stability. The corresponding foundation stability index range is as follows: Level four means extremely high stability, and the corresponding foundation stability index range is F o ≥0.9; Level 3 indicates medium stability, and the corresponding foundation stability index range is 0.6≤F o <0.9, level 2 indicates low stability, and the corresponding foundation stability index range is 0.3≤F o <0.6, level 1 indicates extremely low stability, and the corresponding foundation stability index range is F o <0.3.

[0096] At this point, if the equipment installed in the substation to be optimized is divided into five categories according to electrical regulations, from highest to lowest priority, namely high-voltage equipment, medium-voltage equipment, low-voltage and control equipment, auxiliary equipment, and other equipment, the corresponding minimum stability level for each category of equipment is: Level 4 for high-voltage equipment, Level 4 for medium-voltage equipment, Level 3 for low-voltage and control equipment, Level 2 for auxiliary equipment, and Level 1 for other equipment.

[0097] Compare the minimum foundation stability index of each device with the foundation stability index of each grid, determine all grids that can store the device, and use them as the storage grids for the device. From the storage grids, select a continuous grid set that meets the equipment storage requirements. One set corresponds to one storage solution, and the grids in the set are the storage grids. The grid data in the set is consistent with the number of grids that the corresponding device needs to occupy.

[0098] In this embodiment, the second priority is determined based on the equipment's minimum foundation stability index, equipment size, and equipment weight. The judgment order is: the higher the equipment's minimum foundation stability index, the larger the equipment size, and the larger the equipment weight, the higher the second priority. If there are some devices with the same first priority and second priority, the relative storage order of these devices is randomly determined.

[0099] If the first priority order of two devices is the same, compare the lowest stability indexes of the two devices. The higher the lowest stability index of the device, the higher the second priority. If the lowest stability index of two devices is the same, compare their sizes. The larger the size, the higher the second priority. If the sizes of the two devices are also the same, compare their weights. The larger the weight, the higher the second priority. If the weights of the two devices are also the same, randomly determine which device will be placed first.

[0100] according to Figure 3 The grid division method in Figure 4 The distribution diagram of foundation stability index of each grid in the grid can be obtained as follows: Figure 5 The diagram shows the partial equipment placement process.

[0101] Step 4: Determine the placement order of each device in order of priority. When placing a device, obtain all placement options for the device based on the number of grids it requires and the available grids. Calculate the dynamic stability index corresponding to each placement option and place the device according to the placement option with the highest dynamic stability index.

[0102] In this embodiment, calculating the dynamic stability index specifically includes:

[0103] Determine the number of grids that each device needs to occupy, and calculate the dynamic stability index corresponding to each storage plan of the device. The calculation formula is:

[0104]

[0105] Among them, S(d) represents the dynamic stability index of the d-th storage solution, d is the index of the storage solution, M represents the number of grids that the device needs to occupy, and F i (d) represents the foundation stability index of the i-th storage grid in the d-th storage scheme, i is the index of the storage grid in the storage scheme, P is the number of grids adjacent to the storage grid in the storage scheme (including directly adjacent and diagonally adjacent grids), η j (d) represents the occupancy status of the jth grid adjacent to the storage grid in the dth storage scheme. If the grid is occupied, then η j (d)=1, otherwise η j (d) = 0, F j(d) represents the foundation stability index of the jth grid adjacent to the storage grid in the dth storage scheme, where j is the grid index adjacent to the storage grid, α and β represent the weight coefficients of the corresponding items, satisfying α + β = 1, λ is the penalty weight coefficient, usually in the range of [0.1, 0.3], and OP is the conflict penalty item. If the scheme overlaps with the occupied grid of the placed high-priority device, the penalty value is the product of the number of overlapping grids and the first priority difference, where the first priority difference is the difference between the first priority of the device corresponding to the scheme and the first priority of the device already placed in the overlapping grid;

[0106] Sort all storage solutions for the same device based on the dynamic stability index, and select the solution with the highest dynamic stability index to store the device; traverse all devices until all devices are stored. Figure 5 Schematic diagram of some equipment placement processes shown in .

[0107] The dynamic stability index, as a dependent variable, reflects the comprehensive impact of equipment placement on the overall substation foundation stability under a specific equipment placement scheme. This index not only considers the foundation stability of the grid where the equipment occupies itself, but also incorporates the stability and occupancy status of adjacent grids, and uses a conflict penalty term to avoid location conflicts with high-priority equipment. The technical benefit of this index is to quantify the pros and cons of different equipment placement options, ensuring that high-priority equipment is prioritized in the most stable locations. It also optimizes the overall layout balance, avoiding risks posed by excessive equipment concentration in areas of localized instability, thereby enhancing the substation's overall resilience to flooding.

[0108] The dynamic stability index calculation formula includes three types of independent variables: the mean stability of the grid occupied by the device, the weighted stability of adjacent grids, and a conflict penalty. The first type of independent variable directly reflects the foundation reliability of the device's location; the mean calculation avoids interference from extreme values ​​in a single grid. The second type of independent variable reflects the synergistic effect of the layout by measuring the stability and occupancy status of adjacent grids. The higher the stability of unoccupied adjacent grids, the more likely they are to form a flood buffer zone. The third type of independent variable enforces the priority relationship between devices, preventing low-priority devices from occupying key locations.

[0109] Stability mean of device occupancy grid and the stability contribution of unoccupied adjacent grids (1-η j (d))F j(d) is positively correlated with the dynamic stability index. The larger the values ​​of these two items, the more stable the device placement location and its surrounding environment. The conflict penalty term is negatively correlated with the index. When the placement scheme overlaps with the location of a high-priority device, the OP value increases (depending on the first priority difference and the number of overlapping grids), resulting in a significant decrease in S(d). The weight coefficients α and β regulate the balance between the two types of stability contributions. Usually α>β ensures that the stability of the device's own location dominates, and λ controls the strictness of the conflict penalty. For example, if α=0.6 and β=0.4, the system will pay more attention to the quality of the grid directly occupied by the device, but still retain about 40% of the weight to evaluate the surrounding synergy effect.

[0110] In the dynamic stability index calculation formula, the allocation of weight coefficients α and β needs to comprehensively consider the relative importance of the stability of the equipment's own storage location and the synergistic effect of the surrounding environment. Under normal circumstances, the value of α should be greater than β, for example, α = 0.6, β = 0.4. Such an allocation reflects the basic principle of giving priority to the stability of the equipment's own storage grid. This is because the stability of the grid foundation directly occupied by the equipment is the most core factor to ensure its safe operation. Only when the equipment's own location is stable enough can it effectively resist the impact of floods. If the grid where the equipment is located is not stable enough, there is still a risk of direct damage even if the surrounding environment is good.

[0111] The β weight should not be too low, and it is best to keep it in the range of 0.2-0.4. This is because the stability state of adjacent grids will affect the actual performance of the grid where the equipment is located through soil interaction. When the surrounding grids are not occupied and have high stability, a natural drainage buffer zone and anti-slip zone can be formed; on the contrary, if the surrounding grids are unstable or have been occupied by other equipment, problems such as water backflow or stress concentration may occur. Especially in flood scenarios, the infiltration and scouring effects of water flow often have regional linkage characteristics, which makes the impact of the surrounding environment cannot be ignored. Therefore, retaining an appropriate β weight can ensure that the layout plan has better regional coordination.

[0112] Step 5: Traverse all devices that need to be laid out, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation

[0113] In this embodiment, constructing the layout model specifically includes:

[0114] After all equipment is stored, a device layout model is constructed. This model takes grid division data, grid foundation stability level, equipment classification, and storage plan as input. It uses a spatial matrix and an electrical topology diagram to represent the physical distribution of equipment in the grid and its electrical connection relationship, respectively. The output includes a visualization result of the grid and equipment mapping table and a dynamic stability heat map.

[0115] The substation grid distribution is represented using a two-dimensional matrix, for example, Grid[x][y], where x and y represent the row and column coordinates of the grid, respectively. In each storage scheme, each grid cell stores the following information: device ID, stability level of the grid's foundation, dynamic stability index, and whether it belongs to a non-grid area. The matrix filling rules are as follows: 1. All stored devices are traversed and the device ID is written to the corresponding matrix cell based on the grid coordinates it occupies. 2. If a device occupies multiple grids, the same device ID is marked in all relevant grids and associated with a dynamic stability index. 3. Non-grid areas are marked as unavailable in the matrix. The two-dimensional matrix is ​​converted into a heat map, with a color gradient indicating stability (e.g., yellow for high stability and blue for low stability), and device ID labels are superimposed.

[0116] An electrical topology diagram describes the electrical connection rules between devices. Each device is defined as a node, labeled with the device name and ID (e.g., transformer, circuit breaker, etc.). Edges represent electrical connections between devices (e.g., cables, busbars), labeled with the connection type (e.g., high voltage, low voltage) and current capacity. Two rules are used to generate topological relationships. The first is based on electrical connection rules: similar devices (e.g., transformer banks) must be connected via busbars, forming a star or ring structure in the diagram; high-priority devices must be located at the center of the topology diagram or on the critical path. The second is conflict detection. If two high-interference devices, such as reactors and communications equipment, are adjacent in the spatial matrix, a shielding edge, or virtual connection, is added to the topology diagram. Graph theory tools such as NetworkX and Graphviz are used to generate topological diagrams. Node shape identifies device type, such as a rectangle for a transformer and a circle for a circuit breaker. Edge color identifies voltage level, such as red for high voltage and blue for low voltage.

[0117] The model's output data includes a grid-to-device mapping table and a dynamic stability heat map. The grid-to-device mapping table uses CSV and JSON formats. The generated table lists each grid's corresponding device ID, grid foundation stability level, and dynamic stability index. The color-coded map is generated based on a two-dimensional matrix using PNG and SVG formats.

[0118] See also Figure 7 The present invention further provides a grid-based substation flood control optimization design modeling system, which is used to implement the above-mentioned grid-based substation flood control optimization design modeling method, including:

[0119] The gridding optimal partitioning module is used to divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of partitioning schemes, determine the non-grid areas in each group of partitioning schemes, and select the partitioning scheme with the smallest non-grid area as the final grid partitioning scheme;

[0120] The foundation stability scoring module is used to analyze the foundation parameters of each grid, determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels based on the stability;

[0121] The equipment and grid matching module is used to classify the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment, so as to determine the grid where each equipment can be stored;

[0122] The dynamic stability optimization layout module is used to determine the storage order of each device in order of priority. When storing a device, all storage options for the device are obtained based on the number of grids required and available for storage. The dynamic stability index corresponding to each storage option is calculated, and the corresponding device is stored according to the storage option with the highest dynamic stability index.

[0123] The global device deployment decision module is used to traverse all devices that need to be deployed, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation.

[0124] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0125] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0126] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0127] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A grid-based modeling method for substation flood control optimization design, characterized by: The specific steps include: Step 1: Divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of division schemes, determine the non-grid area in each group of division schemes, and select the division scheme with the smallest non-grid area as the final grid division scheme; Step 2: Analyze the foundation parameters of each grid, including geotechnical parameters and hydrological parameters. The geotechnical parameters include geotechnical type, foundation bearing capacity, cohesion, internal friction angle, and compression modulus, and the hydrological parameters include groundwater level and permeability coefficient, to obtain the geotechnical attribute item, anti-settlement item, anti-deformation item, anti-shear item, anti-liquefaction item, and drainage and anti-seepage item of each grid; perform weighted summation of the geotechnical attribute item, anti-settlement item, anti-deformation item, anti-shear item, anti-liquefaction item, and drainage and anti-seepage item of each grid to obtain the foundation stability index of each grid, and use this index to analyze the stability of the foundation of each grid; determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels according to the stability; Step 3: Divide the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment. Compare the minimum foundation stability index of each device with the foundation stability index of each grid, and determine all grids that can accommodate the equipment as the grids that can accommodate the equipment. Step 4: Determine the placement order of each device in order of priority. When placing a device, obtain all placement options for the device based on the number of grids it requires and the available grids. Calculate the dynamic stability index corresponding to each placement option and place the device according to the placement option with the highest dynamic stability index. Calculating the dynamic stability index specifically includes: determining the number of grids that each device needs to occupy, and calculating the dynamic stability index corresponding to each storage solution of the device. The calculation formula is: Among them, S(d) represents the dynamic stability index of the d-th storage solution, d is the index of the storage solution, M represents the number of grids that the device needs to occupy, and F i (d) represents the foundation stability index of the i-th storage grid in the d-th storage scheme, i is the index of the storage grid in the storage scheme, P is the number of grids adjacent to the storage grid in the storage scheme, η j (d) represents the occupancy status of the jth grid adjacent to the storage grid in the dth storage scheme. If the grid is occupied, then η j (d)=1, otherwise η j (d) = 0, F j (d) represents the foundation stability index of the jth grid adjacent to the storage grid in the dth storage scheme, where j is the grid index adjacent to the storage grid, α and β represent the weight coefficients of the corresponding items, satisfying α + β = 1, λ is the penalty weight coefficient, and OP is the conflict penalty item. If the scheme overlaps with the occupied grid of the placed high-priority device, the penalty value is the product of the number of overlapping grids and the first priority difference, where the first priority difference is the difference between the first priority of the device corresponding to the scheme and the first priority of the device already placed in the overlapping grid; Sort all storage solutions for the same device based on the dynamic stability index, and select the solution with the highest dynamic stability index to store the device; traverse all devices until all devices are stored; Step 5: Traverse all devices that need to be laid out, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation.

2. A grid-based substation flood control optimization design modeling method according to claim 1, characterized in that: Determining the grid division scheme specifically includes: Determine the geometric center point of the substation to be optimized, determine the size of the divided grid, and construct a central grid whose center coincides with the geometric center point; Expand multiple grids outward from the central grid to ensure that all grids cover all areas of the substation to be optimized. When all grids cover all areas of the substation to be optimized, the grid division scheme at this time is used as the initial grid division scheme, and all grid directions in the initial grid division scheme are aligned with the horizontal direction of the coordinate system; Set the initial rotation angle to 0, and rotate all grids counterclockwise around the geometric center point synchronously. After each rotation of 2 degrees, a new grid division scheme is formed, and the area of ​​the non-grid region in each grid division scheme is calculated; The rotation stops when it rotates 360 degrees, and all grid division schemes are sorted according to the size of the non-grid area. The scheme corresponding to the minimum non-grid area is selected as the final grid division scheme.

3. The grid-based modeling method for substation flood control optimization design according to claim 1 is characterized in that: Geotechnical types include clay, sand, and gravel. Different basic scores are assigned to each type of geotechnical through the expert scoring method, and the basic scores are used to represent the geotechnical attribute items. The maximum bearing capacity and maximum compression modulus of the substation area to be optimized are obtained, and the foundation bearing capacity, cohesion, internal friction angle, compression modulus and groundwater level parameters are analyzed. The ratio of foundation bearing capacity to maximum bearing capacity is used to represent the anti-settlement item, the ratio of compression modulus to maximum compression modulus is used to represent the anti-deformation item, the ratio of the product of internal friction angle and cohesion to the estimated value of flood impact force is used to represent the anti-shear item, and the difference between the ratio of groundwater level to critical groundwater level and 1 is used to represent the anti-liquefaction item. The corresponding permeability coefficient score is then assigned to the permeability coefficient through the expert scoring method, and the permeability coefficient score is used to represent the drainage anti-seepage item.

4. The grid-based modeling method for substation flood control optimization design according to claim 3 is characterized in that: The logic for classifying the stability levels of each grid is as follows: Five stability levels are divided, namely level 5, level 4, level 3, level 2 and level 1. The higher the level, the higher the stability. Then, based on the distribution of the foundation stability index, five foundation stability index intervals are divided. Each interval corresponds to a stability level, thereby determining the stability level of each grid.

5. The grid-based modeling method for substation flood control optimization design according to claim 1 is characterized in that: Determine the storage grid for each device, including: According to electrical regulations, the equipment installed in the substation to be optimized is divided into five categories: high-voltage equipment, medium-voltage equipment, low-voltage and control equipment, auxiliary equipment, and other equipment. The first priority of the five categories decreases from high to low. The storage order of each device is determined in descending order of the first priority. For devices with the same first priority, the storage order is determined in descending order of the second priority. The minimum stability level of high-voltage equipment is level five, the minimum stability level of medium-voltage equipment is level four, the minimum stability level of low-voltage and control equipment is level three, the minimum stability level of auxiliary equipment is level two, and the minimum stability level of other equipment is level one. The minimum foundation stability index of each equipment is determined, which is the minimum value of the foundation stability index range corresponding to the minimum stability level.

6. The grid-based modeling method for substation flood control optimization design according to claim 5, characterized in that: The second priority is determined based on the equipment's minimum foundation stability index, equipment size, and equipment weight. The judgment order is: the higher the equipment's minimum foundation stability index, the larger the equipment size, and the heavier the equipment, the higher the second priority. If some equipment has the same first priority and second priority, the relative storage order of these equipment is randomly determined.

7. A grid-based substation flood control optimization design modeling system, characterized by: The grid-based substation flood control optimization design modeling system is used to implement the grid-based substation flood control optimization design modeling method according to any one of claims 1 to 6, comprising: The gridding optimal partitioning module is used to divide the area of ​​the substation to be optimized into grids of the same size, traverse multiple groups of partitioning schemes, determine the non-grid areas in each group of partitioning schemes, and select the partitioning scheme with the smallest non-grid area as the final grid partitioning scheme; The foundation stability scoring module is used to analyze the foundation parameters of each grid, determine the stability of the foundation of each grid after the flood, and divide the grid into N stability levels based on the stability; The equipment and grid matching module is used to classify the equipment installed in the substation to be optimized into K categories according to electrical rules, and determine the priority and minimum foundation stability index of each category of equipment, so as to determine the grid where each equipment can be stored; The dynamic stability optimization layout module is used to determine the storage order of each device in order of priority. When storing a device, all storage options for the device are obtained based on the number of grids required and available for storage. The dynamic stability index corresponding to each storage option is calculated, and the corresponding device is stored according to the storage option with the highest dynamic stability index. The global device deployment decision module is used to traverse all devices that need to be deployed, model the device layout, and generate a layout model that includes the final position of each device and the overall stability evaluation.

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