A storm surge risk assessment method for a seawater photovoltaic field

Abstract

The present application relates to the technical field of marine disaster risk assessment, and particularly relates to a storm surge risk assessment method for a seawater photovoltaic field area, comprising the following steps: S1: identifying a critical region in the field area where a bearing stable state is converted into a bearing attenuation state, and generating a corresponding support state transition unit; S2: determining the transmission direction and the expansion boundary of the support state transition unit between array regions, and generating a corresponding imbalance transmission unit; S3: dividing the overall risk level based on the transmission range and the expansion degree, and generating a corresponding storm surge risk assessment result. According to the present application, by combining support state transition identification, imbalance transmission path analysis and risk space partitioning, the storm surge risk of the seawater photovoltaic field area is changed from static determination to dynamic evolution analysis, thereby improving the accuracy and spatial directivity of risk assessment.

Description

Technical Field

[0001] This invention relates to the field of marine disaster risk assessment technology, and in particular to a storm surge risk assessment method for seawater photovoltaic power plants. Background Technology

[0002] With the large-scale construction of offshore photovoltaic and near-shore tidal flat photovoltaic projects, seawater photovoltaic fields are gradually developing from single arrays to large-scale array groups. Their structural forms are characterized by multi-array coupling and continuous distribution of support systems. In actual operation, storm surges, as a typical extreme marine environmental factor, cause a rapid rise in sea level and have a continuous submerging effect and hydrodynamic disturbance on the photovoltaic array support foundation, thereby affecting the stress state and stability of the support system. In existing projects, storm surge risk is usually assessed through water level prediction, submersion range analysis, or structural strength verification. However, due to the characteristics of dense array deployment and interconnected support structures in seawater photovoltaic fields, stress changes in a single array are often transmitted spatially through the support system, thereby triggering a chain reaction of local instability spreading to the region. Therefore, analysis based solely on single-point or static conditions is insufficient to reflect the true risk evolution process.

[0003] Existing technologies for storm surge risk assessment suffer from the following main problems: First, they rely primarily on storm surge levels or inundation depths, failing to consider changes in the constraint capacity of the supporting foundation after flooding, making it difficult to identify critical zones transitioning from a stable to a weakened state. Second, they lack modeling of the structural relationships between array areas, failing to reveal the transmission path and expansion patterns of support imbalances between adjacent array areas, resulting in risk analysis remaining localized. Third, risk assessment results are mostly output as overall levels or single-point indicators, lacking spatial delineation of the main risk initiation and expansion zones, making it difficult to support engineering scheduling and risk control decisions. Therefore, it is necessary to propose a storm surge risk assessment method for seawater photovoltaic power plants to address these issues. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides a storm surge risk assessment method for seawater photovoltaic fields.

[0005] A storm surge risk assessment method for marine photovoltaic power plants includes the following steps: S1: Based on the array support relationship and foundation constraint relationship of the seawater photovoltaic field, and combined with the storm surge water level change process, identify the critical region in the field that changes from the bearing stable state to the bearing decay state, and generate the corresponding support transition unit; S2: Based on the support transition unit and the spatial connection relationship between adjacent array areas, determine the transmission direction and expansion boundary of the support transition unit between array areas, and generate the corresponding imbalance transmission unit. S3: Based on the imbalance transmission unit, determine the main risk initiation zone and main risk expansion zone of the seawater photovoltaic field under the action of storm surge, and divide the overall risk level based on the transmission range and expansion degree, and generate the corresponding storm surge risk assessment results.

[0006] Optionally, the array support relationship in S1 includes: S11: Obtain the deployment location, array number, support component connection location, and array spacing of each photovoltaic array in the seawater photovoltaic field area to form array spatial distribution data; S12: Determine the support path within a single array area based on the connection relationship between each photovoltaic array and its corresponding support component; S13: Determine the support relationship between different array areas based on the arrangement direction and array spacing between adjacent array areas; S14: Combine the support bearing path with the support association to form an array of support relationships used to identify changes in support status.

[0007] Optionally, the basic constraint relationships in S1 include: S15: Obtain the location, burial depth, top elevation of each support foundation in the seabed, and connection position with the corresponding support components; S16: Determine the vertical constraint range of each support foundation on the corresponding support component based on the layout location and burial depth of each support foundation. S17: Determine the flooding status of each supporting foundation during the rise of the water level based on the relative relationship between the top elevation of the foundation and the change process of the storm surge water level. S18: Correspond the vertical constraint range, flooding state, and connection position of supporting components to form a basic constraint relationship.

[0008] Optionally, identifying the critical region within the field area that transitions from a stable load-bearing state to a load-bearing attenuation state includes the following steps: Based on the storm surge water level change process, determine the upward height of the water level relative to the top surface elevation of each supporting foundation at each moment; Based on the height of the elevation, determine the flooding ratio of each supporting foundation at the current moment; When the proportion of the number of supporting foundations that reach the flooding ratio threshold in the same array area to the total number of supporting foundations in the array area reaches the critical proportion threshold, the corresponding array area is determined as the critical region that is transitioning from a stable bearing state to a bearing attenuation state. The critical region is identified by binding its array number, location range, water level time, flooding ratio, and corresponding number of supporting foundations.

[0009] Optionally, the support transition unit includes a critical region identifier, array number, critical transition time, foundation flooding ratio, number of support foundations reaching the flooding ratio threshold, bearing status marker, and adjacent array area identifier.

[0010] Optionally, the spatial connection relationship between adjacent array regions in S2 includes: S21: Establish an array region adjacency table with the center position of each array region as a node and the spacing and arrangement direction between adjacent array regions as connection conditions. S22: Based on the array region adjacency table, determine the upstream adjacent array region, downstream adjacent array region, and lateral adjacent array region corresponding to each support transition unit; S23: Bind the upstream adjacent array area, downstream adjacent array area and lateral adjacent array area to the corresponding support transition unit to form a spatial connection relationship for transmitting direction determination.

[0011] Optionally, determining the transmission direction of the support transition unit between array regions in step S2 includes: S24: Extract the critical transition time of each supporting transition unit according to the storm surge water level change process; S25: Determine the order in which the load-bearing attenuation states occur based on the critical transition times between adjacent support transition units; S26: Point the support transition unit with an earlier critical transition time to the adjacent support transition unit with a later critical transition time to form the imbalance transmission direction; S27: When multiple adjacent support transition units have the same critical transition time, the corresponding main transmission direction is determined according to the angle between the storm surge water level rise direction and the array arrangement direction.

[0012] Optionally, determining the extension boundary of the support transition unit between adjacent array regions in S2 includes: S28: Read the bearing status markers of adjacent support transition units sequentially along the imbalance transmission direction; S29: When consecutive adjacent array areas are all in a state of load attenuation, include consecutive adjacent array areas in the unbalanced expansion range; S210: When an array region with a stable bearing state appears along the direction of imbalance transmission, or when the array spacing between adjacent array regions is greater than the preset expansion spacing threshold, its position is determined as the imbalance expansion boundary. S211: Combine the imbalance transmission direction, imbalance expansion range, and imbalance expansion boundary to generate an imbalance transmission unit.

[0013] Optionally, determining the main risk initiation zone and main risk expansion zone of the seawater photovoltaic field under storm surge in step S3 includes: S31: Read the imbalance transmission direction, imbalance propagation range, and imbalance propagation boundary in the imbalance transmission unit; S32: Determine the array region where the supporting transition unit corresponding to the starting point of the imbalance transmission direction is located as the main risk starting region; S33: The array region that is continuously included in the imbalance expansion range along the imbalance transmission direction is determined as the main risk expansion region; S34: Bind the main risk starting area, the main risk expansion area and the corresponding imbalance expansion boundary to form the risk space partitioning result.

[0014] Optionally, the overall risk level classification based on the transmission range and extent of expansion in S3 includes: S35: Count the number of array regions contained in the main risk extension area to obtain the risk extension number; S36: Calculate the proportion of the number of risk-spreading arrays to the total number of arrays in the seawater photovoltaic field area to obtain the risk-spreading percentage; S37: The overall risk level is determined based on the risk expansion ratio. When the risk expansion ratio is less than 0.20, the overall risk level is low; when the risk expansion ratio is greater than or equal to 0.20 and less than 0.50, the overall risk level is medium; when the risk expansion ratio is greater than or equal to 0.50, the overall risk level is high. S38: Summarize the main risk initiation area, main risk expansion area, imbalance expansion boundary and overall risk level to generate storm surge risk assessment results.

[0015] The beneficial effects of this invention are: This invention couples the storm surge water level change process with the array support relationship and foundation constraint relationship of the seawater photovoltaic field to construct a critical area identification mechanism for the transition from a stable bearing state to a bearing attenuation state. This makes risk identification no longer dependent on a single water level or inundation depth, but based on the change in the stress state of the support system. This allows for accurate location of the risk initiation position and improves the pertinence and reliability of risk identification under storm surge.

[0016] This invention establishes the imbalance transmission relationship between supporting transition units and performs constraint analysis on the transmission direction and expansion boundary, thereby depicting the propagation path of risk from local to global. At the same time, by combining the main risk initiation area, the main risk expansion area and the risk level classification, a risk assessment result with spatial distribution characteristics is formed, so that the assessment result has clear regional orientation and hierarchical expression ability, which is conducive to improving the risk prediction and prevention and control capabilities of seawater photovoltaic fields under storm surge conditions. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the storm surge risk assessment method according to an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating the process of determining the transmission direction between array regions according to an embodiment of the present invention. Detailed Implementation

[0019] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0020] like Figures 1-2 As shown, a storm surge risk assessment method for seawater photovoltaic power plants includes the following steps: S1: Based on the array support relationship and foundation constraint relationship of the seawater photovoltaic field, and combined with the storm surge water level change process, identify the critical region in the field that changes from the bearing stable state to the bearing decay state, and generate the corresponding support transition unit; The array support relationships in S1 include: S11: Obtain the deployment location, array number, support component connection location, and array spacing of each photovoltaic array in the seawater photovoltaic field area to form array spatial distribution data; S12: Determine the support path within a single array area based on the connection relationship between each photovoltaic array and its corresponding support component; S13: Determine the support relationship between different array areas based on the arrangement direction and array spacing between adjacent array areas; S14: Combine the support bearing path with the support association to form an array of support relationships used to identify changes in support status.

[0021] The construction of the aforementioned array support relationships essentially involves structurally expressing the mechanical connection relationships between each array and its supporting structure within the seawater photovoltaic field, as well as the interrelationships between the arrays. This allows for the identification of transmission paths for changes in support status based on these relationships. Specifically, to make the array support relationships computable, the support relationships between array regions are represented as weighted connection relationships, expressed as follows: ,in, Indicates array area With array area The supporting correlation weights between them; Indicates array area With array area Spatial distance between them; Indicates array area With array area The strength coefficient of the support connection between them; This represents the distance weighting coefficient, with a value of 0.6. This represents the connection strength weighting coefficient, with a value of 0.4; where the support connection strength coefficient... The value is determined according to the actual connection method between the arrays. When two array areas are connected by continuous support members, the value is 1.0. When there is only spatial adjacency but no direct support connection, the value is 0.5. When there is no adjacency between the two, the value is 0. In this way, the spatial distance factor and the structural connection factor between the arrays are uniformly quantified and expressed, so that the array support relationship reflects both geometric proximity and structural load-bearing correlation.

[0022] Furthermore, to describe the support capacity within a single array region, a support capacity index is defined for each array region, with the following expression: ;in, Indicates array area The supporting load index; Indicates array area The number of internal support foundations; Indicates array area Inner The bearing capacity value of each supporting foundation; through the above-mentioned bearing capacity index, the overall bearing capacity of different array areas can be quantified, providing a basis for subsequent identification of bearing stability and bearing attenuation states.

[0023] Finally, the array will support associated weights. With array support bearing index Combine them to form an array-supported relational dataset.

[0024] The basic constraints in S1 include: S15: Obtain the location, burial depth, top elevation of each support foundation in the seabed, and connection position with the corresponding support components; S16: Determine the vertical constraint range of each support foundation on the corresponding support component based on the layout location and burial depth of each support foundation. S17: Determine the flooding status of each supporting foundation during the rise of the water level based on the relative relationship between the top elevation of the foundation and the change process of the storm surge water level. S18: Correspond the vertical constraint range, flooding state, and connection position of supporting components to form a basic constraint relationship.

[0025] The determination of the aforementioned basic constraint relationships essentially involves quantifying the constraint capacity provided by each supporting foundation within the seawater photovoltaic field to the upper supporting components during storm surge, thereby providing a basis for subsequent determination of load-bearing state changes. Specifically, the spatial and structural properties of the supporting foundations are first established by acquiring their locations on the seabed, their burial depths, and the elevation of their top surfaces. Based on this, the vertical constraint strength of the supporting foundation on the superstructure is determined according to the burial depth and connection location, and its expression is: ,in, Indicates the first Vertical constraint strength of each supporting foundation; Indicates the first The embedment depth of each supporting foundation; Indicates the first The foundation diameter or equivalent bearing width of the supporting foundation. This expression quantifies the embedment depth and foundation dimensions, reflecting the foundation's resistance to uplift and overturning of the superstructure. The larger the value, the stronger the constraint.

[0026] Then, by combining the storm surge water level change process, the relative relationship between the foundation top surface elevation and the water level is analyzed to determine the flooding state of the supporting foundation at different water levels. To characterize the impact of the storm surge water level rise on the supporting foundation's constraint capacity, a flooding ratio index is defined, the expression of which is: ,in, Indicates the first Each supporting foundation at any time The flooding ratio; Indicates time Storm surge water level height; Indicates the first Elevation of the top surface of the supporting foundation; Indicates the first The embedment depth of the supporting foundation. When When the water level reaches or exceeds the top surface of the foundation, the supporting foundation is in a state of flooding; when When this occurs, it indicates that the foundation is not flooded and is in a normal constraint state. Furthermore, the flooded state is discretized: when... Defined as an unflooded state; when Defined as a partially flooded state; when This is defined as a state of high flooding.

[0027] After obtaining the vertical constraint strength and the flooded state, the two are coupled to construct the basic constraint coefficient, the expression of which is: ,in, Indicates the first Each supporting foundation at any time constraint coefficients; Indicates the vertical constraint strength; This indicates the flooding ratio; this constraint coefficient reflects the dynamic attenuation characteristics of the foundation's constraint capacity during storm surge. As the degree of flooding increases, Gradually decreasing the coefficient indicates a reduction in the foundation's constraint capacity on the superstructure. Finally, the constraint coefficients of each supporting foundation are... The corresponding support component connection positions and spatial distribution information are associated to form a basic constraint relationship dataset.

[0028] Identifying the critical region within the field area that transitions from a stable load-bearing state to a load-bearing attenuation state includes the following steps: Based on the storm surge water level change process, the upward height of the water level relative to the top surface elevation of each supporting foundation at each moment is determined sequentially; specifically, for each supporting foundation, at each moment... Below, the uplift height of the storm surge water level relative to the top surface of the foundation is calculated, and its expression is as follows: ,in, Indicates the first Each supporting foundation at any time The height of the water level rise; Indicates time Storm surge water level height; Indicates the first The elevation of the top surface of the supporting foundation; when When, it indicates that the foundation is covered by water; when This indicates that the foundation has been affected by the water level. Based on the elevation increase, determine the flooding percentage of each supporting foundation at the current moment; its expression is: ,in, Indicates the first Each supporting foundation at any time The proportion of areas flooded; Indicates the height of the water level rise; Indicates the first The burial depth of each supporting foundation; through this expression, the rise in water level and the burial depth of the foundation are normalized, so that the range of the flooded proportion is [value missing]. This is used to standardize the description of flooding levels across different bases; When the proportion of supporting foundations reaching the flooding ratio threshold within the same array area reaches the critical ratio threshold, the corresponding array area is defined as a critical region transitioning from a stable load-bearing state to a load-bearing attenuation state. Specifically, at the array area scale, flooded foundations are statistically analyzed, and the flooding ratio of the array area is defined as follows: ,in, Indicates the first Each array region at time The percentage of areas affected by flooding; Indicates array area The number of supporting foundations whose internal flooding ratio meets the threshold condition; Indicates array area Total number of internal supporting foundations. When the supporting foundations meet... At that time, the supporting foundation shall be included ; Flooding percentage threshold The value is 0.60; when the flooded proportion of the array area reaches the critical proportion threshold, it is determined that the array area has undergone a change in bearing state. The determination condition is as follows: ,in, This represents the critical percentage threshold, set to 0.50; when the above conditions are met, the array area... At any moment It was determined to be a critical region where the load-bearing capacity was transitioning from a stable state to a state of load-bearing capacity attenuation.

[0029] The array number, location range, water level time, flooding ratio, and corresponding number of supporting foundations of the critical area are bound together to form the critical area identification result. The above steps quantitatively couple the storm surge water level rise process with the flooding degree of the supporting foundations, and use the proportion of flooded foundations in the array area as the judgment criterion to achieve accurate identification of the load-bearing state transitioning from stable to attenuated. This makes the critical area no longer dependent on a single water level judgment, but determined based on the flooding distribution of the structure, thereby improving the accuracy and engineering applicability of the support transition identification.

[0030] The supporting transition unit includes a critical region identifier, array number, critical transition time, foundation flooding ratio, number of supporting foundations reaching the flooding ratio threshold, load-bearing status marker, and adjacent array area identifier. The critical region identifier records the area transitioning from a stable load-bearing state to a load-bearing attenuation state. The array number identifies the photovoltaic array area to which the critical region belongs. The critical transition time records the water level at which the critical region meets the critical ratio threshold. The foundation flooding ratio characterizes the degree of flooding of the supporting foundations during storm surge. The load-bearing status marker indicates that the current array area is in a load-bearing attenuation state. The adjacent array area identifier is used to associate adjacent objects required for subsequent imbalance propagation direction determination.

[0031] S2: Based on the supporting transition unit and combined with the spatial connection relationship between adjacent array areas, determine the transmission direction and expansion boundary of the supporting transition unit between array areas, and generate the corresponding imbalance transmission unit; The spatial connectivity between adjacent array regions in S2 includes: S21: Establish an array region adjacency table with the center position of each array region as a node and the spacing and arrangement direction between adjacent array regions as connection conditions. S22: Based on the array region adjacency table, determine the upstream adjacent array region, downstream adjacent array region, and lateral adjacent array region corresponding to each support transition unit; S23: Bind the upstream adjacent array area, downstream adjacent array area and lateral adjacent array area to the corresponding support transition unit to form a spatial connection relationship for transmitting direction determination.

[0032] Determining the spatial connectivity between adjacent array zones essentially involves structurally expressing the spatial adjacency and arrangement orientation of each array zone within the seawater photovoltaic field, thereby providing a clear spatial path basis for subsequent determination of the imbalance propagation direction. Specifically, for each array zone, its geometric center coordinates are defined as follows: ,in, Indicates the first The center coordinates of each array region, in meters; Indicates array area Number of internal photovoltaic modules or support points; Indicates array area Inner The spatial coordinates of each component or support point; through the above method, each array region is abstracted as a spatial node, providing a unified representation for subsequent adjacency relationship construction. The adjacency relationship of array regions is determined for any two array regions. and Calculate the center distance: ,in, Indicates array area With array area Spatial distance between them. Set an adjacency threshold. When satisfied At that time, the array area With array area These are determined to be adjacent array regions. The adjacency determination threshold is... The value is 1.2 times the average spacing of the array regions; an array region adjacency table is established in this way to record the adjacency connections between all array regions.

[0033] After obtaining the adjacency relationship, a direction determination mechanism is introduced to distinguish the directionality of imbalance propagation paths; first, the array region is defined. Pointing to array area Direction vector: Meanwhile, the main direction vector for the storm surge water level rise is defined as: ,in, This represents the angle indicating the dominant direction of storm surge propagation. Further calculation of the cosine of the angle between the two vectors is needed. ,in, Indicates array area Pointing to array area The angle between the direction of the storm surge and the direction of its propagation. Adjacent array regions are classified based on this angle relationship, when... At that time, determine the array region For array area Downstream adjacent array region; when At that time, determine the array region For array area The upstream adjacent array region; when At that time, determine the array region For array area Laterally adjacent array regions. By uniformly modeling the center position, spatial distance, and storm surge propagation direction of the array regions, and constructing spatial connections based on adjacency and direction, the association between array regions is expanded from simple spatial adjacency to a directional structured connection network, thus providing a clear spatial basis for subsequent identification of imbalance propagation paths.

[0034] In S2, determining the propagation direction of the supporting transition unit between array regions includes: S24: Extract the critical transition time of each supporting transition unit according to the storm surge water level change process; S25: Determine the order in which the load-bearing attenuation states occur based on the critical transition times between adjacent support transition units; S26: Point the support transition unit with an earlier critical transition time to the adjacent support transition unit with a later critical transition time to form the imbalance transmission direction; S27: When multiple adjacent support transition units have the same critical transition time, the corresponding main transmission direction is determined according to the angle between the storm surge water level rise direction and the array arrangement direction.

[0035] Determining the propagation direction of the support transition unit between array regions hinges on identifying the direction of imbalance propagation from the earlier-occurring region to the later-occurring region based on the temporal relationship of the load-bearing state transitions in each array region, thereby establishing a risk propagation path. Specifically, for each support transition unit, its critical transition time is defined as: ;in, Indicates the first The critical transition moment of each supporting transition unit; Indicates the corresponding array region at time... The percentage of areas affected by flooding; This represents the critical percentage threshold, with a value of 0.50; this expression is used to determine the earliest time when each array region transitions from a stable bearing state to a bearing attenuation state. Then, for any two adjacent support transition units... and Calculate the difference in critical transition time: ,in, Indicates supporting transition unit and The time difference between the transitions; These represent the critical transition times for the corresponding array regions. The transmission order is determined when the following conditions are met. When, it indicates the array area First, the load attenuation occurs in the array area. Load-bearing attenuation subsequently occurred; When, it indicates the array area Load attenuation occurs first; When the time difference is equal, it indicates that both load-bearing capacities decrease simultaneously. Based on the above time difference relationship, the rule for determining the direction of imbalance transmission is defined as follows: when At that time, the supporting transition unit will be Pointing to support transition unit Its direction vector is represented as: ,in, Indicates the array area Pointing to array area The imbalance propagation direction vector; Representing the array regions and The central coordinates; in this way, the temporal sequence is mapped to the spatial transmission direction, realizing the transformation from the time dimension to the spatial dimension.

[0036] when In situations where time information alone is insufficient to determine the transmission direction, the storm surge propagation direction is introduced as an auxiliary criterion. The cosine of the angle between the imbalance transmission direction vector and the storm surge propagation direction is calculated: ,in, This represents the vector indicating the direction of storm surge propagation. This represents the angle between two vectors. When multiple candidate adjacent array regions exist, the one that satisfies... The direction with the largest value is taken as the main transmission direction, that is... ,in This represents the final determined target array area for storm surge propagation. By using the critical transition moment of the supporting transition unit as the core criterion and combining it with the spatial relationship and storm surge propagation direction, a time-series-driven spatial mapping of the imbalance propagation direction is achieved. This allows the risk propagation path to be dynamically determined based on the process of bearing state change, rather than relying on static spatial distance, thereby improving the accuracy and consistency of storm surge risk propagation judgment.

[0037] In S2, the expansion boundary of the supporting transition unit between adjacent array regions includes: S28: Read the bearing status markers of adjacent support transition units sequentially along the imbalance transmission direction; S29: When consecutive adjacent array areas are all in a state of load attenuation, include consecutive adjacent array areas in the unbalanced expansion range; S210: When an array region with a stable bearing state appears along the direction of imbalance transmission, or when the array spacing between adjacent array regions is greater than the preset expansion spacing threshold, its position is determined as the imbalance expansion boundary. S211: Combine the imbalance transmission direction, imbalance expansion range, and imbalance expansion boundary to generate an imbalance transmission unit.

[0038] Determining the expansion boundary of the supporting transition unit between adjacent array regions hinges on identifying the continuous spatial distribution of the load-bearing attenuation state along the determined imbalance propagation direction, and determining the termination boundary of imbalance propagation at the location where the load-bearing state recovers or the spatial connection condition is broken, thereby limiting the scope of risk propagation. Specifically, let the array region sequence along the imbalance propagation direction be... Define the bearer state marking function for each array region as follows: ;in, Indicates the first The load status markers for each array region are further defined; the length of the continuous load attenuation interval is further defined: ,in, Indicates from the starting array region to the... The length of the continuous load attenuation interval of each array region; when And the previous array region satisfies At that time, the array area Included in the scope of imbalance expansion.

[0039] The determination of the extended boundary is based on two types of constraints: 1. Bearing state constraints, when they occur along the transmission direction: When the current array region has returned to a stable state, it indicates that the current array region has been restored to a stable state. At this time, the array region is taken as the termination position of the unbalanced expansion, and the previous array region is the expansion boundary.

[0040] 2. Spatial distance constraints, for adjacent array areas and Calculate the center distance: ,in, Indicates the spatial distance between adjacent array regions; These represent the center coordinates of the corresponding array regions. When the following conditions are met... At that time, the location was determined as a spatial breakpoint, and the array area was... The boundary of the imbalance expansion was determined; the expansion spacing threshold was included. The average spacing between adjacent array regions is taken as 1.5 times. Under the condition of continuous load attenuation and no triggering of the expansion boundary condition, the corresponding set of array regions is defined as the imbalance expansion range. By combining the continuity of the load state with spatial distance constraints, the imbalance transmission process is boundary-limited, transforming the risk propagation range from a simple directional expansion to a controlled expansion process with clear termination conditions, thereby avoiding excessive outward expansion of the risk area.

[0041] S3: Based on the imbalance transmission unit, determine the main risk initiation zone and main risk expansion zone of the seawater photovoltaic field under the action of storm surge, and divide the overall risk level based on the transmission range and expansion degree, and generate the corresponding storm surge risk assessment results; S3 defines the main risk initiation zone and main risk extension zone for marine photovoltaic power plants under storm surge conditions, including: S31: Read the imbalance transmission direction, imbalance propagation range, and imbalance propagation boundary in the imbalance transmission unit; S32: Determine the array region where the supporting transition unit corresponding to the starting point of the imbalance transmission direction is located as the main risk starting region; S33: The array region that is continuously included in the imbalance expansion range along the imbalance transmission direction is determined as the main risk expansion region; S34: Bind the main risk starting area, the main risk expansion area and the corresponding imbalance expansion boundary to form the risk space partitioning result.

[0042] S3 classifies the overall risk level based on the scope and extent of transmission, including: S35: Count the number of array regions contained in the main risk extension area to obtain the risk extension number; S36: Calculate the proportion of the number of risk-spreading arrays to the total number of arrays in the seawater photovoltaic field area to obtain the risk-spreading percentage; the formula for calculating the risk-spreading percentage is: ,in, Indicates the percentage of risk expansion; Indicates the number of array regions contained within the main risk extension region; This indicates the total number of array zones within the seawater photovoltaic field. S37: The overall risk level is determined based on the risk expansion ratio. When the risk expansion ratio is less than 0.20, the overall risk level is low; when the risk expansion ratio is greater than or equal to 0.20 and less than 0.50, the overall risk level is medium; when the risk expansion ratio is greater than or equal to 0.50, the overall risk level is high. S38: Summarize the main risk initiation area, main risk expansion area, imbalance expansion boundary and overall risk level to generate storm surge risk assessment results.

[0043] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0044] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A storm surge risk assessment method for seawater photovoltaic power plants, characterized in that, Includes the following steps: S1: Based on the array support relationship and foundation constraint relationship of the seawater photovoltaic field, and combined with the storm surge water level change process, identify the critical region in the field that changes from the bearing stable state to the bearing decay state, and generate the corresponding support transition unit; S2: Based on the support transition unit and the spatial connection relationship between adjacent array areas, determine the transmission direction and expansion boundary of the support transition unit between array areas, and generate the corresponding imbalance transmission unit. S3: Based on the imbalance transmission unit, determine the main risk initiation zone and main risk expansion zone of the seawater photovoltaic field under the action of storm surge, and divide the overall risk level based on the transmission range and expansion degree, and generate the corresponding storm surge risk assessment results.

2. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 1, characterized in that, The array support relationship in S1 includes: S11: Obtain the deployment location, array number, support component connection location, and array spacing of each photovoltaic array in the seawater photovoltaic field area to form array spatial distribution data; S12: Determine the support path within a single array area based on the connection relationship between each photovoltaic array and its corresponding support component; S13: Determine the support relationship between different array areas based on the arrangement direction and array spacing between adjacent array areas; S14: Combine the support bearing path with the support association to form an array of support relationships used to identify changes in support status.

3. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 2, characterized in that, The basic constraint relationships in S1 include: S15: Obtain the location, burial depth, top elevation of each support foundation in the seabed, and connection position with the corresponding support components; S16: Determine the vertical constraint range of each support foundation on the corresponding support component based on the layout location and burial depth of each support foundation. S17: Determine the flooding status of each supporting foundation during the rise of the water level based on the relative relationship between the top elevation of the foundation and the change process of the storm surge water level. S18: Correspond the vertical constraint range, flooding state, and connection position of supporting components to form a basic constraint relationship.

4. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 3, characterized in that, The identification of the critical region within the field area that transitions from a stable load-bearing state to a load-bearing attenuation state includes the following steps: Based on the storm surge water level change process, determine the upward height of the water level relative to the top surface elevation of each supporting foundation at each moment; Based on the height of the elevation, determine the flooding ratio of each supporting foundation at the current moment; When the proportion of the number of supporting foundations that reach the flooding ratio threshold in the same array area to the total number of supporting foundations in the array area reaches the critical proportion threshold, the corresponding array area is determined as the critical region that is transitioning from a stable bearing state to a bearing attenuation state. The critical region is identified by binding its array number, location range, water level time, flooding ratio, and corresponding number of supporting foundations.

5. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 4, characterized in that, The support transition unit includes a critical region identifier, array number, critical transition time, foundation flooding ratio, number of support foundations reaching the flooding ratio threshold, bearing status marker, and adjacent array area identifier.

6. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 1, characterized in that, The spatial connection relationship between adjacent array regions in S2 includes: S21: Establish an array region adjacency table with the center position of each array region as a node and the spacing and arrangement direction between adjacent array regions as connection conditions. S22: Based on the array region adjacency table, determine the upstream adjacent array region, downstream adjacent array region, and lateral adjacent array region corresponding to each support transition unit; S23: Bind the upstream adjacent array area, downstream adjacent array area and lateral adjacent array area to the corresponding support transition unit to form a spatial connection relationship for transmitting direction determination.

7. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 6, characterized in that, The determination of the transmission direction of the support transition unit between array regions in S2 includes: S24: Extract the critical transition time of each supporting transition unit according to the storm surge water level change process; S25: Determine the order in which the load-bearing attenuation states occur based on the critical transition times between adjacent support transition units; S26: Point the support transition unit with an earlier critical transition time to the adjacent support transition unit with a later critical transition time to form the imbalance transmission direction; S27: When multiple adjacent support transition units have the same critical transition time, the corresponding main transmission direction is determined according to the angle between the storm surge water level rise direction and the array arrangement direction.

8. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 7, characterized in that, The determination of the expansion boundary of the support transition unit between adjacent array regions in S2 includes: S28: Read the bearing status markers of adjacent support transition units sequentially along the imbalance transmission direction; S29: When consecutive adjacent array areas are all in a state of load attenuation, include consecutive adjacent array areas in the unbalanced expansion range; S210: When an array region with a stable bearing state appears along the direction of imbalance transmission, or when the array spacing between adjacent array regions is greater than the preset expansion spacing threshold, its position is determined as the imbalance expansion boundary. S211: Combine the imbalance transmission direction, imbalance expansion range, and imbalance expansion boundary to generate an imbalance transmission unit.

9. The storm surge risk assessment method for seawater photovoltaic power plants according to claim 1, characterized in that, The main risk initiation zone and main risk expansion zone of the seawater photovoltaic field under the action of storm surge, as determined in S3, include: S31: Read the imbalance transmission direction, imbalance propagation range, and imbalance propagation boundary in the imbalance transmission unit; S32: Determine the array region where the supporting transition unit corresponding to the starting point of the imbalance transmission direction is located as the main risk starting region; S33: The array region that is continuously included in the imbalance expansion range along the imbalance transmission direction is determined as the main risk expansion region; S34: Bind the main risk starting area, the main risk expansion area and the corresponding imbalance expansion boundary to form the risk space partitioning result.

10. A storm surge risk assessment method for seawater photovoltaic power plants according to claim 9, characterized in that, The overall risk level classification in S3 based on the transmission range and extent of expansion includes: S35: Count the number of array regions contained in the main risk extension area to obtain the risk extension number; S36: Calculate the proportion of the number of risk-spreading arrays to the total number of arrays in the seawater photovoltaic field area to obtain the risk-spreading percentage; S37: The overall risk level is determined based on the risk expansion ratio. When the risk expansion ratio is less than 0.20, the overall risk level is low; when the risk expansion ratio is greater than or equal to 0.20 and less than 0.50, the overall risk level is medium; when the risk expansion ratio is greater than or equal to 0.50, the overall risk level is high. S38: Summarize the main risk initiation area, main risk expansion area, imbalance expansion boundary and overall risk level to generate storm surge risk assessment results.

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