Offshore wind power plant design method based on hydrological data

Abstract

The invention relates to the technical field of offshore wind plants, in particular to an offshore wind plant design method based on hydrological data. Comprising the steps of generating a plurality of fan construction points according to environmental parameters of a to-be-constructed sea area; acquiring historical hydrological data of a sea area to be constructed, and establishing a simulation model according to the historical hydrological data; generating a construction interference value of each fan construction point according to the simulation model, and setting a plurality of primary construction points according to all the construction interference values; generating a construction plan of the offshore wind plant according to all the first-level construction points; the method comprises the following steps: establishing a simulation model according to historical hydrological data of a sea area to be constructed, performing primary screening on each fan construction point through the simulation model, removing part of fan construction points with hydrological interference exceeding a threshold value, and performing optimization processing on the remaining fan construction points according to a removal result, thereby improving the construction efficiency of an offshore wind plant, reducing the construction cost and improving the construction efficiency of the offshore wind plant. And the full-life-cycle economic benefit of the offshore wind plant is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of offshore wind farms, and particularly to a design method for offshore wind farms based on hydrological data. Background Art

[0002] The reserves of offshore wind energy resources are abundant. Developing offshore wind power is one of the key technologies for realizing a low-carbon economy and has become the consensus of countries around the world. It is expected that in the next decade, the newly installed capacity of global offshore wind power will reach 235 GW, of which the installed capacity of floating offshore wind power will reach 16.5 GW, indicating great potential for the development of offshore wind power.

[0003] At present, the design of offshore wind farms generally goes through steps such as on-site survey, acquisition of resource and environmental data, selection of wind turbine generator equipment, primary electrical system, secondary electrical system, civil engineering, economic calculation, etc. However, due to the influence of hydrogeological conditions, wave and current scouring, and construction conditions, local optimization is still required. These problems are likely to cause design defects in wind farms, affecting the economic benefits of the entire life cycle of offshore wind farms and being unfavorable to the sustainable development of wind power generation. Summary of the Invention

[0004] The purpose of the present application is: To solve the above technical problems, the present application provides a design method for offshore wind farms based on hydrological data, aiming to improve the economic benefits within the entire life economic cycle of offshore wind farms and improve the construction efficiency of offshore wind farms.

[0005] In some embodiments of the present application, a simulation model is established based on the historical hydrological data of the sea area to be constructed. Through the simulation model, initial screening is carried out on each wind turbine construction point, and some wind turbine construction points with hydrological interference exceeding the threshold are excluded. Then, optimization processing is carried out on the remaining wind turbine construction points according to the exclusion results, so as to improve the construction efficiency of offshore wind farms and reduce the construction cost.

[0006] In some embodiments of the present application, through a two-level optimization model, all wind turbine construction points are processed, thereby selecting multiple primary construction points. Constraint conditions are constructed based on all primary construction points and the construction requirements of the offshore wind farm. Multiple initial construction strategies are constructed according to their feasible regions, and the best construction plan is generated based on the optimization results of all initial construction strategies to ensure the economic benefits of the entire life cycle of the offshore wind farm.

[0007] In some embodiments of the present application, a design method for offshore wind farms based on hydrological data is provided, including:

[0008] Generating multiple wind turbine construction points according to the environmental parameters of the sea area to be constructed;

[0009] Obtaining the historical hydrological data of the sea area to be constructed and establishing a simulation model based on the historical hydrological data;

[0010] Generate the construction interference values for each wind turbine construction site according to the simulation model, and set multiple first-level construction sites based on all the construction interference values;

[0011] Generate the construction plan for the offshore wind farm according to all the first-level construction sites;

[0012] Among them, when generating multiple wind turbine construction sites, it includes:

[0013] Establish a sequence A of wind turbine construction sites, A=(a 1 , a 2 …a i …a n ), where a i is the i-th wind turbine construction site; n is the number of wind turbine construction sites.

[0014] In some embodiments of the present application, when establishing a simulation model according to historical hydrological data, it includes:

[0015] Establish a simulation period according to historical hydrological data;

[0016] Construct multiple time intervals within the simulation period, and generate a sequence T of time intervals, T=(t 1 , t 2 …t i …t r ), where t i is the i-th time interval within the simulation period; n is the number of time intervals;

[0017] Generate simulation sub-models for each time interval;

[0018] Establish a sequence B of simulation sub-models, B=(b 1 , b 2 …b i …b r ), where b i is the simulation sub-model of the i-th time interval;

[0019] Construct a simulation model according to the sequence B of simulation sub-models.

[0020] In some embodiments of the present application, when generating the construction interference values for each wind turbine construction site according to the simulation model, it includes:

[0021] Set the i-th wind turbine construction site as the target construction site in sequence according to the sequence A of wind turbine construction sites;

[0022] Generate the operation interference values of the target construction site in each time interval according to the simulation model;

[0023] Establish a sequence C of operation interference values, C=(c 1 , c 2 …c i …cr ), where c i is the operation interference value of the target construction point in the i-th time interval;

[0024] Generate the construction interference value f of the target wind turbine construction point according to the operation interference value sequence C;

[0025] Generate the construction interference values of each wind turbine construction point in sequence, and establish a construction interference value sequence F=(f 1 , f 2 … f i … f n ), where f i is the construction interference value of the i-th wind turbine construction point.

[0026] In some embodiments of the present application, when generating the construction interference value f of the target wind turbine construction point, it includes:

[0027]

[0028] where e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; μ i is the influence factor of the i-th time interval; c' is the average value of all data in the operation interference value sequence C.

[0029] In some embodiments of the present application, when generating the operation interference value c of the target construction point in each time interval, it includes:

[0030] Set ti as the target time interval in sequence according to the time interval sequence T;

[0031] Set the simulation submodel of the target time interval as the target simulation submodel;

[0032] Generate the simulation data of the target wind turbine construction point according to the target simulation submodel;

[0033] Generate the operation interference value c of the target wind turbine construction point in the target time interval according to the simulation data;

[0034] In some embodiments of the present application, when generating the operation interference value c of the target wind turbine construction point in the target time interval, it includes:

[0035]

[0036] where e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θ1 is the number of operation evaluation indicators; β 1i is the influence factor of the i-th operation evaluation indicator; g 1iis the reference value of the i-th operation evaluation index generated based on simulation data; θ2 is the number of hydrological interference indexes; β 2i is the influence factor of the i-th hydrological interference index; g 2i is the reference value of the i-th hydrological interference index generated based on simulation data.

[0037] In some embodiments of the present application, when setting multiple first-level construction points according to all construction interference values, it includes:

[0038] Presetting the first construction interference value threshold F1;

[0039] If f i < F1, setting the i-th wind turbine construction point as a first-level construction point;

[0040] If f i > F1, excluding the i-th wind turbine construction point;

[0041] Obtaining all first-level construction points and establishing a first-level construction point sequence A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level construction point; n1 is the number of first-level construction points, and n1 ≤ n.

[0042] In some embodiments of the present application, when generating a construction plan for an offshore wind farm according to all first-level construction points, it includes:

[0043] Establishing a constraint model according to the wind farm construction requirements;

[0044] Generating multiple initial construction strategies according to the constraint model and all first-level construction points;

[0045] Generating an initial construction strategy sequence D, D = (d 1 , d 2 …d i …d m ), where d i is the i-th initial construction strategy; m is the number of initial construction strategies;

[0046] Generating the construction evaluation value of each initial construction strategy;

[0047] Establishing a construction evaluation value sequence K, K = (k 1 , k 2 …k i …k m ), where k i is the construction evaluation value of the i-th initial construction strategy;

[0048] Set the initial construction strategy corresponding to the maximum value kmax in the construction evaluation value sequence K as the construction plan.

[0049] In some embodiments of the present application, when generating the construction evaluation values of each initial construction strategy, it includes:

[0050] Set the di in the initial construction strategy sequence D as the target initial construction strategy in turn;

[0051] Set the primary construction points in the target initial construction strategy as secondary construction points;

[0052] Establish a secondary construction point sequence A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary construction point in the target initial construction strategy; n2 is the number of secondary construction points in the target initial construction strategy;

[0053] Generate the cable layout of the target initial construction strategy according to the secondary construction point sequence A2;

[0054] Generate the equipment parameters of each secondary construction point;

[0055] Generate the construction evaluation value k of the target initial set construction strategy according to the cable layout and all equipment parameters.

[0056] In some embodiments of the present application, when generating the construction evaluation value k of the target initial set construction strategy, it includes:

[0057]

[0058] Among them, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; hi is the expected construction cost of the i-th secondary construction point in the target initial construction strategy; ji is the expected revenue reference value of the i-th secondary construction point in the target initial construction strategy; U is the submarine cable laying cost value generated based on the submarine cable layout of the target initial construction strategy.

[0059] Compared with the prior art, the beneficial effect of a method for designing an offshore wind farm based on hydrological data in an embodiment of the present application is that:

[0060] Establish a simulation model according to the historical hydrological data of the sea area to be constructed, and initially screen each wind turbine construction point through the simulation model, eliminate some wind turbine construction points where the hydrological interference exceeds the threshold, and perform optimization processing on the remaining wind turbine construction points according to the elimination results, improving the construction efficiency of the offshore wind farm and reducing the construction cost.

[0061] Through a two - level optimization model, all wind turbine construction sites are processed to select multiple first - level construction sites. Constraint conditions are constructed based on all the first - level construction sites and the construction requirements of the offshore wind farm. Multiple initial construction strategies are constructed according to their feasible regions, and the best construction plan is generated based on the optimization results of all the initial construction strategies to ensure the economic benefits of the entire life cycle of the offshore wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a schematic flowchart of a method for designing an offshore wind farm based on hydrological data in a preferred embodiment of an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] The following further describes in detail the specific embodiments of the present application with reference to the drawings and embodiments. The following embodiments are used to illustrate the present application but are not used to limit the scope of the present application.

[0064] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.

[0065] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0066] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0067] As Figure 1 shown, a method for designing an offshore wind farm based on hydrological data in a preferred embodiment of an embodiment of the present application includes:

[0068] S101: Generate multiple wind turbine construction sites according to the environmental parameters of the sea area to be constructed;

[0069] S102: Obtain the historical hydrological data of the sea area to be constructed, and establish a simulation model based on the historical hydrological data;

[0070] S103: Generate the construction interference values of each wind turbine construction point according to the simulation model, and set multiple primary construction points based on all the construction interference values;

[0071] S104: Generate the construction plan of the offshore wind farm according to all the primary construction points;

[0072] Among them, when generating multiple wind turbine construction points, it includes:

[0073] Establish a sequence A of wind turbine construction points, A = (a 1 , a 2 … a i … a n ), where a i is the i-th wind turbine construction point; n is the number of wind turbine construction points.

[0074] Specifically, conduct geological exploration and topographic survey on the sea area to be constructed, evaluate the geological conditions and topographic and geomorphic features, so as to determine multiple wind turbine construction points.

[0075] Specifically, conduct annual observations of wave tide level and current, and full-tide hydrological observations in winter and summer on the sea area to be constructed, evaluate hydrological elements such as tidal current, wave characteristics, and sediment movement, and generate historical hydrological data through marine environmental surveys in spring and autumn, marine fishery resource surveys in spring and autumn, current situation surveys of birds in all seasons, and monitoring of underwater and electromagnetic radiation in spring and summer.

[0076] Specifically, generate the corresponding simulation model by analyzing and processing the historical hydrological data.

[0077] Specifically, when establishing a simulation model based on the historical hydrological data, it includes:

[0078] Establish a simulation period according to the historical hydrological data;

[0079] Construct multiple time intervals within the simulation period, generate a sequence T of time intervals, T = (t 1 , t 2 … t i … t r ), where t i is the i-th time interval within the simulation period; n is the number of time intervals;

[0080] Generate simulation sub-models within each time interval;

[0081] Establish a sequence B of simulation sub-models, B = (b 1 , b2 …b i …b r )), where b i is the simulation sub-model for the i-th time interval;

[0082] Construct a simulation model according to the sequence of simulation sub-models B.

[0083] Specifically, the simulation period is preferably one year. By establishing multiple time intervals, the periodic changes of the hydrographic environment of the sea area to be constructed are simulated, and the simulation sub-models for each time interval are constructed, so as to realize the accurate evaluation of each wind turbine construction point in the sea area to be constructed.

[0084] In the preferred embodiment of the present application, when generating the construction interference value of each wind turbine construction point according to the simulation model, it includes:

[0085] Set the i-th wind turbine construction point as the target construction point in sequence according to the sequence of wind turbine construction points A;

[0086] Generate the operation interference value of the target construction point in each time interval according to the simulation model;

[0087] Establish a sequence of operation interference values C, C = (c 1 , c 2 …c i …c r ), where c i is the operation interference value of the target construction point in the i-th time interval;

[0088] Generate the construction interference value f of the target wind turbine construction point according to the sequence of operation interference values C;

[0089] Generate the construction interference values of each wind turbine construction point in sequence, and establish a sequence of construction interference values F = (f 1 , f 2 …f i …f n ), where f i is the construction interference value of the i-th wind turbine construction point.

[0090] Specifically, when generating the construction interference value f of the target wind turbine construction point, it includes:

[0091]

[0092] Among them, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; μ i is the influence factor for the i-th time interval; c' is the average value of all data in the sequence of operation interference values C.

[0093] Specifically, the influence factors for each time interval can be set according to the wind turbine power generation corresponding to the environmental parameters of that time interval. The greater the power generation, the greater the corresponding influence factor.

[0094] Specifically, all parameters in the model are normalized by presetting a first fixed coefficient and a second fixed coefficient, so that each parameter is within the same value range.

[0095] Specifically, the greater the construction interference value, the greater the degree of interference of the hydrological environment of the water area on the operation of the wind turbine after the wind turbine is built at the current wind turbine construction point, and the smaller the probability that the wind turbine can operate stably.

[0096] Specifically, when generating the operation interference value of the target construction point in each time interval, it includes:

[0097] Set ti as the target time interval in sequence according to the time interval sequence T;

[0098] Set the simulation submodel of the target time interval as the target simulation submodel;

[0099] Generate simulation data of the target wind turbine construction point according to the target simulation submodel;

[0100] Generate the operation interference value c of the target wind turbine construction point in the target time interval according to the simulation data;

[0101] Specifically, when generating the operation interference value c of the target wind turbine construction point in the target time interval, it includes:

[0102]

[0103] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ1 is the number of operation evaluation indicators; β 1i is the influence factor of the i-th operation evaluation indicator; g 1i is the reference value of the i-th operation evaluation indicator generated based on the simulation data; θ2 is the number of hydrological interference indicators; β 2i is the influence factor of the i-th hydrological interference indicator; g 2i is the reference value of the i-th hydrological interference indicator generated based on the simulation data.

[0104] Specifically, the operation evaluation indicators include but are not limited to meteorological parameters such as evaluation of wind speed and wind direction, power generation power fluctuation, wind speed frequency distribution, wind direction rose diagram and other parameters.

[0105] Specifically, the hydrological interference indicators include, but are not limited to, the interference to aquatic organisms, tidal currents, wave interference, noise pollution, and electromagnetic radiation interference to the surrounding ecology and other parameters. The greater the interference evaluation value, the worse the comprehensive benefits of building a wind turbine at the current wind turbine construction site and the greater the impact on the environment.

[0106] Specifically, all parameters in the model are normalized by presetting a third fixed coefficient and a fourth fixed coefficient, so that each parameter is within the same value range.

[0107] Specifically, when setting multiple first-level construction points according to all construction interference values, it includes:

[0108] Preset a first construction interference value threshold F1;

[0109] If f i < F1, set the i-th wind turbine construction point as a first-level construction point;

[0110] If f i > F1, eliminate the i-th wind turbine construction point;

[0111] Obtain all first-level construction points and establish a first-level construction point sequence A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level construction point; n1 is the number of first-level construction points, and n1 ≤ n.

[0112] Specifically, the first construction interference value threshold can be set according to historical parameters.

[0113] It can be understood that in the above embodiments, a simulation model is established based on the historical hydrological data of the sea area to be constructed. Through the simulation model, the initial screening of each wind turbine construction point is carried out, and some wind turbine construction points with hydrological interference exceeding the threshold are eliminated. According to the elimination results, the remaining wind turbine construction points are optimized to improve the construction efficiency of the offshore wind farm and reduce the construction cost.

[0114] In the preferred embodiment of the present application, when generating a construction plan for an offshore wind farm according to all first-level construction points, it includes:

[0115] Establish a constraint model according to the wind farm construction requirements;

[0116] Generate multiple initial construction strategies according to the constraint model and all first-level construction points;

[0117] Generate an initial construction strategy sequence D, D = (d 1 , d 2 …d i …dm ), where d i is the i-th initial construction strategy; m is the number of initial construction strategies;

[0118] Generate the construction evaluation values of each initial construction strategy;

[0119] Establish a construction evaluation value sequence K, K = (k 1 , k 2 … k i … k m ), where k i is the construction evaluation value of the i-th initial construction strategy;

[0120] Set the initial construction strategy corresponding to the maximum value kmax in the construction evaluation value sequence K as the construction plan.

[0121] Specifically, establish multiple constraint conditions according to construction requirements, such as installed capacity constraints, expected minimum total power generation constraints, etc. Build a constraint model through all constraint conditions and generate multiple initial construction strategies based on its feasible region.

[0122] Specifically, a single initial monitoring strategy includes whether to install a wind turbine at each primary construction point, the expected operating power of the wind turbine, etc.

[0123] Specifically, when generating the construction evaluation values of each initial construction strategy, it includes:

[0124] Set the di as the target initial construction strategy in sequence according to the initial construction strategy sequence D;

[0125] Set the primary construction points within the target initial construction strategy as secondary construction points;

[0126] Establish a secondary construction point sequence A2, A2 = (a 21 , a 22 … a 2i … a 2n2 ), where a 2i is the i-th secondary construction point in the target initial construction strategy; n2 is the number of secondary construction points in the target initial construction strategy;

[0127] Generate the cable layout of the target initial construction strategy according to the secondary construction point sequence A2;

[0128] Generate the equipment parameters of each secondary construction point;

[0129] Generate the construction evaluation value k of the target initial set construction strategy according to the cable layout and all equipment parameters.

[0130] Specifically, optimize the cable layout according to all the first-level wind turbine points selected in the target initial construction strategy, avoiding undersea obstacles and sensitive areas, while ensuring the laying quality and safety of the cables and avoiding adverse impacts on the marine ecosystem.

[0131] Specifically, generate the best construction plan through the optimization results of each initial construction strategy to ensure the economic benefits throughout the life cycle of the offshore wind farm.

[0132] Specifically, process all the wind turbine construction points to select multiple first-level construction points, construct constraint conditions according to all the first-level construction points and the construction requirements of the offshore wind farm, construct multiple initial construction strategies according to their feasible regions, and generate the best construction plan according to the optimization results of all the initial construction strategies to ensure the economic benefits throughout the life cycle of the offshore wind farm.

[0133] Specifically, when generating the construction evaluation value k of the target initial set construction strategy, it includes:

[0134]

[0135] Wherein, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; hi is the expected construction cost of the i-th secondary construction point in the target initial construction strategy; ji is the expected revenue reference value of the i-th secondary construction point in the target initial construction strategy; U is the cable laying cost value generated based on the submarine cable layout of the target initial construction strategy.

[0136] Specifically, in the above embodiment, normalize all the parameters in the model through the preset fifth fixed coefficient, sixth fixed coefficient and seventh fixed coefficient, so that each parameter is within the same value range.

[0137] Specifically, the greater the construction evaluation value, the higher the economic benefits throughout the life cycle of the current initial construction strategy.

[0138] According to the first concept of the present application, establish a simulation model based on the historical hydrological data of the sea area to be constructed, initially screen each wind turbine construction point through the simulation model, eliminate some wind turbine construction points where the hydrological interference exceeds the threshold, and perform optimization processing on the remaining wind turbine construction points according to the elimination results to improve the construction efficiency of the offshore wind farm and reduce the construction cost.

[0139] According to the second concept of the present application, all wind turbine construction sites are processed through a two-level optimization model to select multiple primary construction sites. Constraint conditions are constructed based on all the primary construction sites and the construction requirements of the offshore wind farm. Multiple initial construction strategies are constructed according to their feasible regions, and the optimal construction plan is generated based on the optimization results of all the initial construction strategies to ensure the economic benefits of the entire life cycle of the offshore wind farm.

[0140] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principles of the present application, several improvements and substitutions can be made, and these improvements and substitutions should also be regarded as the protection scope of the present application.

Claims

1. A method for designing an offshore wind farm based on hydrological data, characterized in that: include: Generate multiple wind turbine construction sites based on the environmental parameters of the sea area to be constructed; Obtain historical hydrological data of the sea area to be constructed, and establish a simulation model based on the historical hydrological data; Generate construction interference values ​​for each wind turbine construction point based on the simulation model, and set multiple first-level construction points based on all construction interference values; Generate a construction plan for the offshore wind farm based on all first-level construction sites; Among them, when generating multiple wind turbine construction points, it includes: Establish a wind turbine construction point number sequence A, A = (a1, a2…a i …a n ), where a i is the i-th wind turbine construction site; n is the number of wind turbine construction sites.

2. The offshore wind farm design method based on hydrological data according to claim 1, characterized in that: When building a simulation model based on historical hydrological data, it includes: Establish simulation cycles based on historical hydrological data; Construct multiple time intervals within the simulation period and generate a time interval sequence T, where T = (t1, t2…t i …t r ), where t i is the i-th time interval in the simulation period; n is the number of time intervals; Generate simulation sub-models in each time interval; Establish simulation sub-model sequence B, B = (b1, b2…b i …b r ), where b i is the simulation sub-model of the i-th time interval; Construct a simulation model according to the simulation sub-model sequence B.

3. The offshore wind farm design method based on hydrological data according to claim 2, characterized in that: When generating construction interference values ​​for each wind turbine construction point based on the simulation model, it includes: According to the wind turbine construction point number list A, the i-th wind turbine construction point is set as the target construction point; Generate the operation interference value of the target construction point in each time interval according to the simulation model; Establish the running interference value sequence C, C = (c1, c2...c i …c r ), where c i is the operation interference value of the target construction point in the i-th time interval; Generate the construction interference value f of the target wind turbine construction point according to the operation interference value sequence C; Generate the construction interference value of each wind turbine construction point in turn, and establish the construction interference value sequence F = (f1, f2…f i …f n ), where f i is the construction interference value of the i-th wind turbine construction point.

4. The offshore wind farm design method based on hydrological data according to claim 3, characterized in that: When generating the construction interference value f of the target wind turbine construction point, it includes: Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; μ i is the influencing factor of the ith time interval; c' is the average value of all data in the operating interference value series C.

5. The offshore wind farm design method based on hydrological data according to claim 4, characterized in that: When generating the operation interference value of the target construction point in each time interval, it includes: According to the time interval sequence T, ti is set as the target time interval in sequence; The simulation sub-model of the target time interval is set as the target simulation sub-model; Generate simulation data of target wind turbine construction points according to target simulation sub-model; The operation interference value c of the target wind turbine construction point in the target time interval is generated according to the simulation data.

6. The offshore wind farm design method based on hydrological data according to claim 5, characterized in that: When generating the operation interference value c of the target wind turbine construction point in the target time interval, it includes: Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ1 is the number of operation evaluation indicators; β 1i is the influencing factor of the i-th operation evaluation index; g 1i is the reference value of the i-th operation evaluation index generated based on simulation data; θ2 is the number of hydrological interference indicators; β 2i is the influencing factor of the i-th hydrological disturbance index; g 2i is the reference value of the i-th hydrological disturbance index generated based on the simulation data.

7. The offshore wind farm design method based on hydrological data according to claim 5, characterized in that: When multiple first-level construction points are set according to the total construction interference value, including: Preset a first construction interference value threshold F1; If f i <F1, set the i-th wind turbine construction site as a first-level construction site; If f i >F1, eliminate the i-th wind turbine construction point; Get all the first-level construction points and create a first-level construction point number column A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level construction point; n1 is the number of first-level construction points, and n1≤n.

8. The offshore wind farm design method based on hydrological data according to claim 7, characterized in that: When generating a construction plan for an offshore wind farm based on all first-level construction points, it includes: Establish constraint models based on wind farm construction requirements; Generate multiple initial construction strategies based on the constraint model and all first-level construction points; Generate the initial construction strategy sequence D, D = (d1, d2…d i …d m ), where d i is the i-th initial construction strategy; m is the number of initial construction strategies; Generate construction evaluation values ​​for each initial construction strategy; Establish a construction evaluation value series K, K = (k1, k2...k i …k m ), where k i is the construction evaluation value of the i-th initial construction strategy; The initial construction strategy corresponding to the maximum value kmax in the construction evaluation value sequence K is set as the construction plan.

9. The offshore wind farm design method based on hydrological data according to claim 8, characterized in that: When generating the construction evaluation values ​​for each initial construction strategy, it includes: According to the initial construction strategy sequence D, set the dith as the target initial construction strategy in turn; Set the first-level construction points within the target initial construction strategy as second-level construction points; Establish a secondary construction point number column A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary construction point in the target initial construction strategy; n2 is the number of secondary construction points in the target initial construction strategy; Generate the cable layout of the target initial construction strategy according to the secondary construction point number column A2; Generate equipment parameters for each secondary construction point; The construction evaluation value k of the target initial set construction strategy is generated according to the cable layout and all equipment parameters.

10. The offshore wind farm design method based on hydrological data according to claim 9, characterized in that: When generating the construction evaluation value k of the target initial set construction strategy, it includes: Among them, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; hi is the expected construction cost of the i-th secondary construction point in the target initial construction strategy; ji is the expected profit reference value of the i-th secondary construction point in the target initial construction strategy; U is the submarine cable construction cost value generated by the submarine cable layout based on the target initial construction strategy.

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