Floating wind power anchoring foundation installation deviation correction method based on genetic algorithm

Abstract

This invention discloses a method for correcting installation deviations in floating wind turbine anchoring foundations based on a genetic algorithm. It relates to the fields of floating wind power generation and marine engineering technology, and solves the technical problem that excessive installation deviations in existing mooring systems negatively impact the safety, fatigue life, and power generation efficiency of wind power equipment. The method includes: discretizing the mooring cable into mooring cable units based on a piecewise extrapolation method; analyzing the mooring cable units to obtain the node coordinates and static analysis parameters of the mooring cable units; obtaining the static restoring force of the mooring cable system based on the node coordinates and static analysis parameters; analyzing the static restoring force of the mooring cable system using a genetic algorithm to obtain an objective function; and processing the deviation function in the objective function to obtain a correction value for the number of chain links in the mooring cable to correct the initial number of chain links. This invention ensures the operational stability and safety of floating wind turbines under the coupling effects of wind, waves, and currents.

Description

Technical Field

[0001] This invention relates to the field of floating wind power generation and marine engineering technology, and more specifically, to a method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms. Background Technology

[0002] The mooring system is the "lifeline" of floating wind power equipment. Its core functions are: 1. Resisting environmental loads, i.e., withstanding the effects of complex environmental forces such as wind, waves, and currents. 2. Maintaining positioning performance, i.e., limiting the movement of the wind turbine (such as drifting and swaying) within allowable limits to ensure the normal operation of the upper structure of the wind turbine (such as blades and generators). 3. Ensuring system safety, i.e., preventing catastrophic failures such as mooring cable breakage or anchor foundation dragging under extreme conditions (such as typhoons).

[0003] However, the installation of mooring systems presents a significant technical challenge. Due to the harsh marine construction environment (such as wind, waves, currents, and visibility), the actual installation position of the anchoring foundations (such as towed anchors and suction anchors) is difficult to perfectly match the design position, resulting in installation deviations. When using workboats for installation, the average installation deviation radius can reach 11.55 meters, and even with more precise guide frames, the maximum deviation radius may be around 1 meter. This installation deviation directly alters the geometry of the mooring cable, causing significant changes in its static restoring force characteristics and dynamic tension response. If this deviation is not corrected, the extreme change in the mooring cable tension under specific operating conditions may exceed 5%. This exceeds the safety margin of the engineering design, seriously threatening the safety and fatigue life of the entire wind power equipment, and also affecting its power generation efficiency. In actual engineering, once an installation deviation is discovered, the mooring cable length is usually adjusted manually through trial and error, relying on the engineer's experience. This method is not only inefficient but also makes it difficult to guarantee that the adjusted system performance will return to the design state, lacking scientific rigor and reliability. Summary of the Invention

[0004] The technical problem to be solved by this invention is to address the shortcomings of existing technologies by providing a method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms. This method solves the technical problem that excessive installation deviations in existing mooring systems affect the safety, fatigue life, and power generation efficiency of wind power equipment.

[0005] The present invention describes a method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms. This method includes:

[0006] Step 1: Discretize the mooring cable into mooring cable units based on the segmented extrapolation method;

[0007] Step 2: Analyze the mooring cable unit to obtain the node coordinates and static analysis parameters of the mooring cable unit, and obtain the static restoring force of the mooring cable system based on the node coordinates and static analysis parameters of the mooring cable unit.

[0008] Step 3: Analyze the static restoring force of the mooring cable system using a genetic algorithm to obtain the objective function;

[0009] Step 4: Normalize the deviation function in the objective function and assign corresponding weights to generate the chain link correction value of the mooring cable. Correct the initial chain link number of the mooring cable according to the chain link correction value of the mooring cable.

[0010] To further improve upon this approach, in step one, the method for discretizing the mooring cable into mooring cable units based on the segmented extrapolation method is as follows:

[0011] The axial stiffness of the mooring cable, its tangential and normal drag coefficients, seawater density, current velocity, and the projected area of ​​the mooring cable unit perpendicular to the current direction are obtained. Based on these parameters, the tangential drag force, normal drag force, and elongation of the mooring cable unit are calculated. The buoyant density of the mooring cable unit is then obtained. Finally, the governing equations for the mooring cable unit are derived based on these parameters.

[0012] Furthermore, the control equation for the mooring cable unit is as follows:

[0013] ;

[0014] Where P is the buoyancy unit weight of the mooring cable unit, and F t ε is the tangential drag force on the mooring cable unit, θ is the elongation of the mooring cable unit, θ is the inclination angle of the mooring cable unit, and T is the tension of the mooring cable unit.

[0015] ;

[0016] Among them, F n The normal towing force on the mooring cable unit;

[0017] ;

[0018] Where ε is the elongation of the mooring cable unit, and EA is the axial stiffness of the mooring cable.

[0019] Furthermore, the expression for calculating the tangential towing force on the mooring cable unit is as follows:

[0020] ;

[0021] Among them, C t V is the tangential towing force coefficient of the mooring cable, ρ is the density of seawater, and V is the tangential towing force coefficient of the mooring cable. c Let A be the ocean current velocity, and let A be the projected area of ​​the mooring cable unit in the direction perpendicular to the ocean current.

[0022] Furthermore, the expression for calculating the normal towing force on the mooring cable unit is as follows:

[0023] ;

[0024] Among them, C n This is the normal towing force coefficient of the mooring cable.

[0025] Furthermore, in step two, the expression for the coordinates of the mooring cable unit node is:

[0026] ;

[0027] ;

[0028] Where, x i Let x be the x-axis coordinate of the i-th node. i+1 The z-coordinate represents the x-axis coordinate of the (i+1)th node. i This represents the z-axis coordinate of the i-th node. i+1 This represents the z-axis coordinate of the (i+1)th node.

[0029] Furthermore, in step two, the expression reflecting the static analysis parameters of the mooring cable unit is:

[0030] ;

[0031] ;

[0032] ;

[0033] Wherein: T xi and T xi+1 T represents the horizontal tension of the i-th and (i+1)-th mooring cable units, respectively. zi and T zi+1 T represents the vertical tension of the i-th and (i+1)-th units, respectively. i+1 F is the total tension of the (i+1)th unit. ti and F ni The tangential and normal drag forces of the i-th element are respectively θ. i Let be the deflection angle of the i-th unit.

[0034] Furthermore, in step two, the method for obtaining the static restoring force of the mooring cable system based on the node coordinates of the mooring cable unit and the static analysis parameters of the mooring cable unit is as follows:

[0035] The initial anchor point and guide hole coordinates are set. The top tension and top angle are calculated based on the initial anchor point, guide hole coordinates, mooring cable unit node coordinates, and static analysis parameters of the mooring cable unit. The component forces of each mooring cable unit in its local coordinate system are obtained based on the top tension and top angle. The component forces of the mooring cable on the X-axis, Y-axis, and Z-axis in the global coordinate system are calculated based on the component forces of each mooring cable unit in its local coordinate system, the initial anchor point, and guide hole coordinates. The static restoring force of the mooring cable system is obtained by adding the vectors of the component forces on the X-axis, Y-axis, and Z-axis in the global coordinate system.

[0036] Furthermore, in step four, the deviation function includes dynamic time adjustment distance, shape similarity, and surface area.

[0037] Furthermore, in step four, the value of the chain link correction value of the mooring cable ranges from [-5, 5].

[0038] Beneficial effects

[0039] The advantages of this invention are:

[0040] 1. This invention generates a corrected value for the number of links in the mooring cable by normalizing the deviation function in the objective function and assigning corresponding weights. The initial number of links in the mooring cable is then corrected based on this corrected value. Finally, the number of links is used as the correction value for the entire mooring cable. This invention can automatically optimize the mooring cable length adjustment scheme under given installation deviation conditions. As a result, the overall difference between the corrected mooring system and the initial design on the static restoring force curve can be significantly reduced. This reduces the offset and excessive movement amplitude caused by anchor point installation deviation, and ensures the operational stability and safety of the floating wind power device under the coupling effect of wind, waves and current.

[0041] 2. This invention establishes a calculation and analysis model for the restoring force of a mooring system using a piecewise extrapolation method. Based on a genetic algorithm, the static restoring force of the mooring cable system is analyzed to obtain the objective function. By coupling the piecewise extrapolation method with the genetic algorithm, the entire process of automatic optimization—from deviation identification and curve similarity evaluation to the output of chain length adjustment schemes—is achieved, eliminating the reliance on repeated trial calculations based on experience by engineers. This method has good versatility and can be extended to the problem of correcting installation deviations in floating wind turbine anchoring foundations with different water depths and layouts, significantly improving the feasibility and engineering applicability of the method. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the force analysis of the mooring cable unit of the present invention;

[0043] Figure 2 This is a flowchart illustrating the static restoring force analysis of the mooring cable system based on a genetic algorithm according to the present invention.

[0044] Figure 3 This is a schematic diagram of the restoring force curve in the X direction of the mooring system of the present invention. Detailed Implementation

[0045] The present invention will be further described below with reference to embodiments, but this does not constitute any limitation on the present invention. Any limited modifications made by any person within the scope of the claims of the present invention are still within the scope of the claims of the present invention.

[0046] See Figures 1-3 The present invention relates to a method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms.

[0047] Step 1: Establish a mooring system restoring force calculation and analysis model based on the piecewise extrapolation method, and discretize the mooring cable into mooring cable units according to the mooring system restoring force calculation and analysis model.

[0048] Mooring system analysis methods can be divided into static methods and dynamic methods. Static analysis methods, characterized by high computational efficiency and strong convergence, are widely used to solve for the restoring force characteristics of mooring systems. Static analysis methods assume that the mooring cable is in equilibrium at any given time and neglect its hydrodynamic loads and other dynamic effects. They can be further divided into the catenary method and the piecewise extrapolation method. Compared to the catenary method, the piecewise extrapolation method considers seabed friction and the elastic growth of the mooring cable, thus providing a better solution for the mechanical properties of the mooring cable.

[0049] This invention establishes a restoring force calculation and analysis model for a mooring system based on a piecewise extrapolation method. This method discretizes the mooring cable into m elements, each element being assumed to be a massless spring connected by nodes with mass. The buoyancy weight P, towing force F, and other forces on the mooring cable elements are all equivalently concentrated at the element center. During the calculation, only the axial stiffness EA of the mooring cable is considered, while its bending stiffness EI and torsional stiffness GI are ignored. The force analysis of any element on the mooring cable is as follows: Figure 1 As shown.

[0050] The axial stiffness of the mooring cable, its tangential and normal drag coefficients, seawater density, current velocity, and the projected area of ​​the mooring cable unit perpendicular to the current direction are obtained. Based on these parameters, the tangential drag force, normal drag force, and elongation of the mooring cable unit are calculated. The buoyant density of the mooring cable unit is then obtained. Finally, the governing equations for the mooring cable unit are derived based on these parameters.

[0051] The governing equations for the mooring cable unit are as follows:

[0052] ;

[0053] Where P is the buoyancy unit weight of the mooring cable unit, and F t ε is the tangential drag force on the mooring cable unit, θ is the elongation of the mooring cable unit, θ is the inclination angle of the mooring cable unit, and T is the tension of the mooring cable unit.

[0054] ;

[0055] Among them, F n This refers to the normal towing force on the mooring cable unit.

[0056] The formula for calculating the elongation of a mooring cable unit is as follows:

[0057] ;

[0058] Where ε is the elongation of the mooring cable unit, and EA is the axial stiffness of the mooring cable.

[0059] The expression for calculating the tangential towing force on the mooring cable unit is as follows:

[0060] ;

[0061] Among them, C t V is the tangential towing force coefficient of the mooring cable, ρ is the density of seawater, and V is the tangential towing force coefficient of the mooring cable. c Let A be the ocean current velocity, and let A be the projected area of ​​the mooring cable unit in the direction perpendicular to the ocean current.

[0062] The expression for calculating the normal towing force on the mooring cable unit is as follows:

[0063] ;

[0064] Among them, C n This is the normal towing force coefficient of the mooring cable.

[0065] From the geometric relationship of the mooring cable unit, we can obtain:

[0066] ;

[0067] .

[0068] Step 2: Analyze the mooring cable unit to obtain the node coordinates and static analysis parameters of the mooring cable unit. Based on the node coordinates and static analysis parameters of the mooring cable unit, obtain the static restoring force of the mooring cable system.

[0069] In the static analysis of mooring cables, the forces and positions of each mooring cable element are first solved, and then the boundary conditions are used for correction, so as to finally solve the entire mooring cable.

[0070] Based on the governing equations of the mooring cable unit mentioned above, the static equilibrium equation of the mooring cable unit can be obtained, i.e., the expression reflecting the static analysis parameters of the mooring cable unit is:

[0071] ;

[0072] ;

[0073] ;

[0074] Wherein: T xi and T xi+1 T represents the horizontal tension of the i-th and (i+1)-th mooring cable units, respectively. zi and T zi+1 T represents the vertical tension of the i-th and (i+1)-th units, respectively. i+1 F is the total tension of the (i+1)th unit. ti and F ni The tangential and normal drag forces of the i-th element are respectively θ. i Let be the deflection angle of the i-th unit.

[0075] The expression for the mooring cable unit node coordinates is as follows:

[0076] ;

[0077] ;

[0078] Where, x i Let x be the x-axis coordinate of the i-th node. i+1 The z-coordinate represents the x-axis coordinate of the (i+1)th node. i This represents the z-axis coordinate of the i-th node. i+1 This represents the z-axis coordinate of the (i+1)th node.

[0079] In step two, the method for obtaining the static restoring force of the mooring cable system based on the node coordinates of the mooring cable unit and the static analysis parameters of the mooring cable unit is as follows:

[0080] The initial anchor point and guide hole coordinates are set. The top tension and top angle are calculated based on the initial anchor point, guide hole coordinates, mooring cable unit node coordinates, and static analysis parameters of the mooring cable unit. The calculation of top tension and top angle is existing technology and will not be elaborated upon in this invention. Then, the component forces of each mooring cable unit in its local coordinate system are obtained based on the top tension and top angle. Based on the component forces of each mooring cable unit in its local coordinate system, the initial anchor point, and guide hole coordinates, the component forces of the mooring cable on the X-axis, Y-axis, and Z-axis in the global coordinate system are calculated. The static restoring force of the mooring cable system is obtained by vector-wise summing of these component forces in the global coordinate system.

[0081] The numerical analysis model in this invention uses water depth as the boundary condition, meaning the vertical coordinate of the last node element of the mooring cable should be the water depth H. After assigning attributes to the mooring cable (buoyancy unit weight P, axial stiffness EA, etc.) and assigning initial anchor point and guide hole coordinates, the corresponding top tension angle and top tension, as well as the coordinates of each discrete element of the mooring cable, can be calculated. In actual floating wind power projects, the number of mooring cables installed is often three or more. After calculating the component forces of each cable in the X, Y, and Z degrees of freedom, they are summed to obtain the total force of the mooring system. By changing the guide hole coordinates at certain intervals and calculating the total force of the mooring system at each location, the static restoring force of the mooring system can be obtained. For example, to obtain the restoring force curve in the X direction, the X coordinates of all guide holes are increased and decreased by a certain value at intervals of 1m (or other values) (generally 30-40m), and the total force of the system under each condition is calculated sequentially (this total force is the restoring force). Then, the restoring forces under each offset are connected to obtain the restoring force curve.

[0082] Step 3: Analyze the static restoring force of the mooring cable system using a genetic algorithm to obtain the objective function.

[0083] The anchorage foundation installation deviation correction design method proposed in this invention combines a static restoring force analysis program for mooring systems with a genetic algorithm (GA). GA is a highly efficient global optimization search algorithm based on natural selection and genetic theory, combining the survival of the fittest and the random information exchange mechanism of chromosomes within a population during biological evolution.

[0084] To better measure the deviations between mooring restoring force curves in the anchoring foundation installation deviation correction design method established in this invention, a preference-based method is used to obtain the optimal compromise solution. Furthermore, a weighted sum method is employed to combine multiple sub-functions into a single objective function, as shown below:

[0085] The expression for the objective function is:

[0086] ;

[0087] Where f(x) is the objective function, k is the number of evaluation indicators, and ω i f represents the weight of the i-th evaluation index; i (x) is the normalized value of the i-th evaluation index.

[0088] like Figure 2 As shown, based on the analysis and correction algorithm of the mooring system, this invention proposes a design method for correcting anchor foundation installation deviations. The objective function in this invention mainly includes a deviation function that measures the restoring force curves of the three translational degrees of freedom (X, Y, Z) of the mooring system after deviation and correction. To better measure the deviation and increase the robustness of the program, the deviation function includes Dynamic Time Warping (DTW) distance, shape similarity, and surface area. After obtaining the new mooring cable length, the new static restoring force curve of the mooring cable system is calculated, and then compared with the static restoring force curve of the original design, using the deviation function to measure the difference. The DTW distance allows for analysis of the overall shape matching degree of the curves even when the X-axis is not aligned, overcoming the effect of phase lag. In this invention, if the floating wind power system experiences overall translation after anchor foundation installation deviation, it can be considered that the mooring system is no different from the initial design; using the DTW distance can effectively achieve this objective. Shape similarity can determine the consistency of key dynamic response characteristics (such as extreme points and inflection points). The area under the curve represents the restoring energy contained in the restoring force of the mooring system, ensuring that the overall restoring force strength of the optimized system matches the initial design. It is then normalized and assigned appropriate weights.

[0089] Obtain the static restoring force of all mooring cable units on the static restoring force curve of the mooring cable system. Form an initial population with the static restoring forces of all mooring cable units. Call the mooring system analysis program to evaluate the static restoring forces of all mooring cable units in the initial population to obtain the objective function corresponding to the static restoring force of each mooring cable unit. Evaluate the fitness of the objective function and retain the corresponding optimal corrected solution. When the optimal corrected solution is greater than or equal to the preset expected value, the stopping condition is met. Output the optimal corrected solution and use it as the chain link number correction value of the mooring cable.

[0090] When the optimal corrected solution is less than the expected value, the static restoring force of the mooring cable unit corresponding to the optimal corrected solution that is greater than or equal to the expected value is used as the parent sample. The parent sample and the static restoring force of the mooring cable unit corresponding to the optimal corrected solution that is less than the expected value are cross-operated or mutated to generate the offspring sample. The offspring sample is then put back into the initial population for further screening.

[0091] Step 4: Normalize the deviation function in the objective function and assign corresponding weights to generate the chain link correction value of the mooring cable. Correct the initial chain link number of the mooring cable according to the chain link correction value.

[0092] Considering that the length of the chain link without crossbars is 6 times the nominal diameter of the mooring cable, the mooring cable length can only be adjusted in multiples of the chain links. Therefore, the correction parameter of this invention is the number of chain links added / subtracted n for each mooring cable, where n is an integer. According to engineering requirements, the constraint range of the number of chain links added / subtracted n is: [-5, 5]; that is, -5. <n<5。

[0093] Through the installation deviation correction of this invention, the restoring forces of the mooring system in the X, Y, and Z directions are well repaired, and the restoring force curves of the mooring system in the X, Y, and Z degrees of freedom are well fitted with the target curve. Among them, the correction of the restoring force curve in the X direction is the most significant, and the specific effect is as follows: Figure 3 .

[0094] The key technical points of this invention are mainly reflected in three aspects: first, discrete adjustment modeling of mooring cable length based on chain links; second, construction of a multi-index comprehensive objective function oriented towards the overall similarity of the platform's three-degree-of-freedom static restoring force curves; and third, an intelligent correction process for installation deviations coupled with static segmented extrapolation and genetic algorithms. The combined effect of these technologies enables this invention to automate and quantitatively correct installation deviations of floating wind turbine anchoring foundations, while considering the constraints of actual engineering operations.

[0095] In existing technologies, research on floating wind turbine mooring systems largely focuses on the initial layout and parameter optimization design. Typically, mooring cable length and anchor point location are treated as continuous design variables, and intelligent optimization methods such as genetic algorithms, particle swarm optimization, and differential evolution are used to optimize the overall system, aiming to reduce platform movement, lower tension, or lower costs. However, these methods assume precise installation of the anchoring foundation according to the design, neglecting the issue of "how to correct installation deviations." Furthermore, the results of these continuous variables are difficult to directly translate into on-site operations of "adding or removing links." This invention discretizes the mooring cable correction variable into an integer number of links and sets engineering-feasible upper and lower limits, allowing the optimization results to directly guide the link addition and reduction operations, thus solving the problem of the disconnect between existing continuous optimization results and actual construction operations.

[0096] Furthermore, existing technologies for evaluating mooring system performance often focus on maximum tension in a specific direction, platform displacement, or response indicators under a single working condition, lacking a systematic measure of the overall morphological differences in static restoring force curves under different working conditions and degrees of freedom. This invention, however, employs multiple indicators such as dynamic time warping (DTW), shape similarity, and curve area difference in the platform's X, Y, and Z translational degrees of freedom to comprehensively evaluate the static restoring force curves before and after installation deviations. A single objective function is then constructed using a weighted summation method, and this evaluation process is tightly coupled with static piecewise extrapolation and genetic algorithms to form a complete intelligent correction process for installation deviations. Compared to existing schemes that only optimize the initial design or local indicators, this invention introduces discrete chain-link modeling, multi-indicator curve similarity evaluation, and an integrated analysis-optimization coupling process. This ensures engineering feasibility while making the corrected mooring system closer to the initial design state in terms of overall static and dynamic performance.

[0097] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention, and these will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. A method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms, characterized in that, The method includes, Step 1: Discretize the mooring cable into mooring cable units based on the segmented extrapolation method; Step 2: Analyze the mooring cable unit to obtain the node coordinates and static analysis parameters of the mooring cable unit, and obtain the static restoring force of the mooring cable system based on the node coordinates and static analysis parameters of the mooring cable unit. Step 3: Analyze the static restoring force of the mooring cable system using a genetic algorithm to obtain the objective function; Step 4: Normalize the deviation function in the objective function and assign corresponding weights to generate the chain link correction value of the mooring cable. Correct the initial chain link number of the mooring cable according to the chain link correction value of the mooring cable.

2. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 1, characterized in that, In step one, the method for discretizing the mooring cable into mooring cable units based on the segmented extrapolation method is as follows: The axial stiffness of the mooring cable, its tangential and normal drag coefficients, seawater density, current velocity, and the projected area of ​​the mooring cable unit perpendicular to the current direction are obtained. Based on these parameters, the tangential drag force, normal drag force, and elongation of the mooring cable unit are calculated. The buoyant density of the mooring cable unit is then obtained. Finally, the governing equations for the mooring cable unit are derived based on these parameters.

3. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 2, characterized in that, The governing equations for the mooring cable unit are as follows: ； Where P is the buoyancy unit weight of the mooring cable unit, and F t ε is the tangential drag force on the mooring cable unit, θ is the elongation of the mooring cable unit, θ is the inclination angle of the mooring cable unit, and T is the tension of the mooring cable unit. ； Among them, F n The normal towing force on the mooring cable unit; ； Where ε is the elongation of the mooring cable unit, and EA is the axial stiffness of the mooring cable.

4. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 3, characterized in that, The expression for calculating the tangential towing force on the mooring cable unit is as follows: ； Among them, C t V is the tangential towing force coefficient of the mooring cable, ρ is the density of seawater, and V is the tangential towing force coefficient of the mooring cable. c Let A be the ocean current velocity, and let A be the projected area of ​​the mooring cable unit in the direction perpendicular to the ocean current.

5. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 4, characterized in that, The expression for calculating the normal towing force on the mooring cable unit is as follows: ； Among them, C n This is the normal towing force coefficient of the mooring cable.

6. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 1, characterized in that, In step two, the expression for the node coordinates of the mooring cable unit is: ； ； Where, x i Let x be the x-axis coordinate of the i-th node. i+1 The z-coordinate represents the x-axis coordinate of the (i+1)th node. i This represents the z-axis coordinate of the i-th node. i+1 This represents the z-axis coordinate of the (i+1)th node.

7. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 6, characterized in that, In step two, the expression reflecting the static analysis parameters of the mooring cable unit is: ； ； ； Wherein: T xi and T xi+1 T represents the horizontal tension of the i-th and (i+1)-th mooring cable units, respectively. zi and T zi+1 T represents the vertical tension of the i-th and (i+1)-th units, respectively. i+1 F is the total tension of the (i+1)th unit. ti and F ni The tangential and normal drag forces of the i-th element are respectively θ. i Let be the deflection angle of the i-th unit.

8. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 1, characterized in that, In step two, the method for obtaining the static restoring force of the mooring cable system based on the node coordinates of the mooring cable unit and the static analysis parameters of the mooring cable unit is as follows: The initial anchor point and guide hole coordinates are set. The top tension and top angle are calculated based on the initial anchor point, guide hole coordinates, mooring cable unit node coordinates, and static analysis parameters of the mooring cable unit. The component forces of each mooring cable unit in its local coordinate system are obtained based on the top tension and top angle. The component forces of the mooring cable on the X-axis, Y-axis, and Z-axis in the global coordinate system are calculated based on the component forces of each mooring cable unit in its local coordinate system, the initial anchor point, and guide hole coordinates. The static restoring force of the mooring cable system is obtained by adding the vectors of the component forces on the X-axis, Y-axis, and Z-axis in the global coordinate system.

9. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 1, characterized in that, In step four, the deviation function includes dynamic time adjustment distance, shape similarity, and surface area.

10. The method for correcting installation deviations of floating wind turbine anchoring foundations based on genetic algorithms according to claim 1, characterized in that, In step four, the value of the chain link correction for the mooring cable ranges from -5 to 5.

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