A method, device, equipment and storage medium for determining turbine parameters based on marine resource characteristics

Abstract

The present invention discloses a method, device, equipment, and storage medium for determining turbine parameters based on marine resource characteristics. The method obtains historical annual water depth data, tide level data, and marine shoreline data for a sea area to be developed; then, based on the water depth data, obtains an initial sea depth value; obtains a turbine diameter based on the initial sea depth value, a sea surface safety distance, and a seabed safety operating distance; obtains an annual average flow velocity and the corresponding number of hours at a preset water depth based on a preset tidal simulation model; extracts a target annual average flow velocity, and uses the minimum annual average flow velocity among the target annual average flow velocities as the rated flow velocity of the turbine; then, calculates an initial rated power of the turbine based on the rated flow velocity; and finally, determines the chord length and twist angle of the turbine blades based on the turbine diameter, rated flow velocity, and initial rated power. By implementing the present invention, the rated power of the turbine can be determined based on local marine conditions, thereby obtaining specific turbine parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of water turbine parameter determination, and in particular to a method, device, equipment and storage medium for determining water turbine parameters based on sea area resource characteristics. Background Art

[0002] Tidal energy is a clean, renewable energy source that harnesses the flowing energy of seawater. Tidal power generation is an emerging ocean power generation technology, with the tidal turbine as its core device. The design of a tidal turbine requires consideration of multiple factors, including flow velocity and water depth, to ensure high power generation efficiency in the desired area. Therefore, optimization technology plays a key role in tidal turbine design. This allows for optimal turbine parameters tailored to actual sea conditions, maximizing the utilization of tidal energy resources.

[0003] Existing tidal turbine designs fail to consider local marine resource conditions. They typically pre-determine a total power output and then design specific turbine parameters based on this target. This approach offers the advantage of quickly generating a set of turbine parameters, but its disadvantage is that the designed rated power may be too high or too low, making it inappropriate for a specific marine resource and, consequently, unable to maximize the development of tidal energy resources in that area.

[0004] Therefore, it is an urgent problem to determine the rated power of the turbine according to the local sea conditions and then obtain the specific turbine parameters. Summary of the Invention

[0005] The present invention provides a method, device, equipment and storage medium for determining turbine parameters based on sea area resource characteristics, which can determine the rated power of the turbine according to local sea area conditions and then obtain specific turbine parameters.

[0006] An embodiment of the present invention provides a method for determining turbine parameters based on marine resource characteristics, comprising:

[0007] Obtain historical full-year water depth data, historical full-year tide level data, and historical full-year sea area coastline data of the sea area to be developed;

[0008] The theoretical lowest tide level is obtained based on the above water depth data, and the theoretical lowest tide level is used as the initial value of the sea area water depth;

[0009] Obtaining a sea surface safety distance and a seabed safety operating distance, and calculating a turbine diameter based on the initial water depth, the sea surface safety distance, and the seabed safety operating distance;

[0010] Input the water depth data, the sea area coastline data, and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year during which the annual average flow velocity is reached;

[0011] Compare the hours corresponding to each simulated year with the preset hours, and extract the annual average flow rate of the simulated year with hours greater than the preset hours as the target annual average flow rate;

[0012] The smallest annual average flow rate among the above target annual average flow rates is used as the rated flow rate of the above turbine;

[0013] The initial rated power of the turbine is calculated based on the above rated flow rate;

[0014] The chord length and twist angle of the turbine blades are determined according to the turbine diameter, the rated flow rate and the initial rated power.

[0015] Furthermore, the construction of the above-mentioned preset power flow simulation model includes:

[0016] Acquire a plurality of data samples and a plurality of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples;

[0017] Inputting the plurality of data samples into a tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples, and obtains a simulated flow velocity corresponding to the simulation year;

[0018] The relative error is calculated based on the simulated flow rate and the plurality of flow rate data samples;

[0019] The relative error is compared with a preset relative error value. If the relative error is smaller than the preset relative error, the parameters of the tidal current simulation model to be trained are adjusted and the tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

[0020] Furthermore, the initial rated power of the turbine is calculated based on the rated flow rate, including:

[0021] obtaining several cross sections of the turbine blade;

[0022] Obtaining the initial chord length of the first section, the initial torsion angle of the first section, and the preset parameter strategy network;

[0023] Repeat the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained;

[0024] The initial rated power is calculated based on the initial chord length, initial twist angle and the rated flow velocity of each section;

[0025] The above parameter calculation operation includes:

[0026] Obtain the initial chord length and initial torsion angle of the current section; wherein, when the current section is the first section, the initial chord length and initial torsion angle of the current section are the initial chord length and initial torsion angle of the first section;

[0027] According to the initial chord length of the current section, the initial torsion angle of the current section and the above-mentioned preset parameter strategy network, the initial chord length and initial torsion angle of the next section are calculated.

[0028] Furthermore, the initial rated power is calculated based on the initial chord length, initial twist angle and rated flow velocity of each section, including:

[0029] Obtain the distance from each section to the turbine blade radius, the turbine speed, and the turbine airfoil;

[0030] Calculating the initial inflow angle of each section and the initial relative velocity of each section based on the distance, the rotational speed of the turbine, and the rated flow rate;

[0031] According to the initial twist angle of each section and the corresponding initial incoming flow angle, the initial angle of attack of each section is calculated;

[0032] According to the airfoil and the initial angle of attack of each section, an initial lift coefficient and an initial drag coefficient of each section are obtained;

[0033] Calculate the initial lift of each section and the initial drag of each section according to the initial relative velocity of each section, the initial chord length of each section, the initial lift coefficient of each section, and the initial drag coefficient of each section;

[0034] The initial moment of each section is calculated based on the initial inflow angle of each section, each of the distances, the initial lift of each section, and the initial drag of each section;

[0035] The initial total moment of the turbine is calculated based on the number of turbine blades and the initial moment of each section.

[0036] The initial rated power of the turbine is calculated based on the initial total torque and the rotational speed.

[0037] Furthermore, the chord length and twist angle of the turbine blades are determined based on the turbine diameter, the rated flow rate, and the initial rated power, including:

[0038] Repeating the parameter updating operation according to the turbine diameter, the rated flow rate, and the initial rated power until the chord length and the twist angle of the turbine blade are determined;

[0039] The above parameter update operation includes:

[0040] Obtain the current rated power; wherein the initial rated power is the above-mentioned initial rated power;

[0041] Calculate the current energy efficiency based on the turbine diameter, rated flow rate and current rated power;

[0042] Calculate the current instant reward based on the current chord length, current torsion angle, and current energy acquisition efficiency of all sections;

[0043] Based on the current instant reward and the chord lengths and torsion angles of all current sections, calculate the updated chord length and torsion angle of the first section;

[0044] Determine whether the updated chord length and torsion angle of the first section have converged. If so, recalculate the updated chord lengths and torsion angles of all other sections based on the updated chord length and torsion angle of the first section to determine the chord length and torsion angle of the turbine blade.

[0045] Otherwise, based on the updated chord length and torsion angle of the first section, the updated chord lengths and torsion angles of all other sections are recalculated to obtain the updated chord lengths and torsion angles of all sections. Based on the updated chord lengths and torsion angles of all sections, the updated rated power is calculated.

[0046] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0047] The present invention provides a device for determining turbine parameters based on marine resource characteristics, comprising:

[0048] Data acquisition module, water depth calculation module, diameter calculation module, hour determination module, target annual average flow rate determination module, rated flow rate determination module, initial rated power calculation module, and chord length and torsion angle calculation module;

[0049] The data acquisition module is used to obtain the historical water depth data, historical tide level data and historical coastline data of the sea area to be developed throughout the year;

[0050] The water depth calculation module is used to obtain the theoretical lowest tide level based on the water depth data, and use the theoretical lowest tide level as the initial value of the sea depth;

[0051] The diameter calculation module is used to obtain the sea surface safety distance and the seabed safe operating distance, and calculate the turbine diameter based on the initial water depth value of the sea area, the sea surface safety distance and the seabed safe operating distance;

[0052] The hour determination module is configured to input the water depth data, the sea area coastline data, and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year during which the annual average flow velocity is reached;

[0053] The target annual average flow rate determination module is configured to compare the number of hours corresponding to each simulated year with a preset number of hours, and extract the annual average flow rate of the simulated year with a number of hours greater than the preset number of hours as the target annual average flow rate;

[0054] The rated flow rate determination module is configured to use the smallest annual average flow rate among the target annual average flow rates as the rated flow rate of the turbine;

[0055] The initial rated power calculation module is used to calculate the initial rated power of the turbine according to the rated flow rate;

[0056] The chord length and twist angle calculation module is used to determine the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate and the initial rated power.

[0057] Furthermore, the hours determination module includes:

[0058] Data sample acquisition unit, model training unit, relative error calculation unit and model determination unit;

[0059] The sample acquisition unit is used to acquire a number of data samples and a number of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples;

[0060] The model training unit is configured to input the plurality of data samples into the tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples to obtain the simulated flow velocity corresponding to the simulation year;

[0061] The relative error calculation unit is used to calculate the relative error based on the simulated flow rate and the plurality of flow rate data samples;

[0062] The above-mentioned model determination unit is used to compare the above-mentioned relative error with the preset relative error value. If the above-mentioned relative error is less than the above-mentioned preset relative error, the parameters of the above-mentioned tidal current simulation model to be trained are adjusted and the above-mentioned tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

[0063] Furthermore, the initial rated power calculation module includes:

[0064] Cross-section acquisition unit, parameter acquisition unit, initial chord length and torsion angle calculation unit, initial rated power calculation unit;

[0065] The cross-section acquisition unit is used to acquire a plurality of cross-sections of the turbine blade;

[0066] The parameter acquisition unit is used to obtain the initial chord length of the first section, the initial torsion angle of the first section, and the preset parameter strategy network;

[0067] The initial chord length and torsion angle calculation unit is used to repeatedly perform the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained;

[0068] The initial rated power calculation unit is used to calculate the initial rated power according to the initial chord length, initial torsion angle and the rated flow velocity of each section.

[0069] Based on the above method embodiment, the present invention provides a corresponding terminal device embodiment;

[0070] The present invention provides a terminal device, including a processor, a memory, and a computer program stored in the above memory and configured to be executed by the above processor. When the above processor executes the above computer program, it implements the above-mentioned method for determining turbine parameters based on sea area resource characteristics in any embodiment of the present invention.

[0071] Based on the above method embodiment, the present invention provides a storage medium embodiment;

[0072] The present invention provides a storage medium comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the method for determining turbine parameters based on sea area resource characteristics according to any embodiment of the present invention is implemented.

[0073] The embodiments of the present invention have the following beneficial effects:

[0074] The present invention provides a method, device, terminal equipment and storage medium for optimizing turbine parameters based on the characteristics of marine resources. The above method first obtains the historical water depth data, historical tide level data and historical sea area coastline data of the sea area to be developed for the whole year; then obtains the theoretical lowest tide level based on the above water depth data, and uses the above theoretical lowest tide level as the initial value of the sea area water depth; obtains the sea surface safety distance and the seabed safe operation distance, and calculates the turbine diameter based on the difference between the initial value of the sea area water depth, the above sea surface safety distance and the above seabed safe operation distance; then inputs the above water depth data, the above sea area coastline data and the above tide level data into a preset tidal current simulation model to obtain a number of preset water depths of the above sea area to be developed in the simulated years. The annual average flow rate and the number of hours corresponding to each annual average flow rate; then, a preset number of hours is obtained, the above-mentioned number of hours is compared with the preset number of hours, and the target annual average flow rates corresponding to the above-mentioned number of hours being not less than the preset number of hours are extracted, and the smallest annual average flow rate among the above-mentioned target annual average flow rates is used as the rated flow rate of the above-mentioned turbine; then, the initial rated power of the turbine is calculated based on the above-mentioned rated flow rate; finally, the turbine parameters are optimized based on the above-mentioned turbine diameter, the above-mentioned rated flow rate and the above-mentioned initial rated power to obtain optimized turbine parameters; wherein, the above-mentioned turbine parameters are the chord length and twist angle of the turbine blades. Therefore, the present invention obtains historical water depth data, historical tide level data and historical sea area coastline data of the sea area to be developed, and then uses the water depth data to determine the turbine diameter, and uses the water depth data and sea area coastline data to determine the rated flow rate of the turbine, and then obtains the initial rated power of the turbine based on the obtained turbine rated flow rate. Finally, the turbine parameters are optimized according to the turbine diameter, rated flow rate and initial rated power, thereby solving the problem of determining the turbine rated power according to the actual conditions of the sea area to be planned. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 The present invention provides a flow chart of a method for determining turbine parameters based on marine resource characteristics according to an embodiment of the present invention.

[0076] Figure 2 It is a schematic diagram of a tidal range cumulative frequency curve provided by an embodiment of the present invention.

[0077] Figure 3 The present invention is a schematic structural diagram of a device for determining turbine parameters based on sea area resource characteristics provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0078] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0079] like Figure 1 As shown, an embodiment of the present invention provides a method for determining turbine parameters based on marine resource characteristics, comprising:

[0080] Step S101: Acquire historical water depth data, historical tide level data, and historical coastline data of the sea area to be developed for the entire year;

[0081] Preferably, the above-mentioned full year history is at least 1 year.

[0082] In this step, the historical water depth data of the undeveloped sea area throughout the year, the historical tide level data of the whole year, and the historical coastline data of the sea area throughout the year were obtained.

[0083] Step S102: obtaining a theoretical lowest tide level according to the water depth data, and using the theoretical lowest tide level as an initial value of the sea depth;

[0084] Specifically, after obtaining the above water depth data, the harmonic analysis method is used to obtain the theoretical lowest tide level of the sea area to be developed.

[0085] Specifically, after obtaining the above-mentioned water depth data, the obtained water depth data is first normalized, and then the normalized water depth data is Fourier transformed to obtain multiple simple harmonic tides. The simple harmonic tides include major tides and minor tides. The major tides include: M2 (semi-diurnal tide), S2 (semi-diurnal tide), N2 (semi-diurnal tide), N2 (semi-diurnal tide), K1 (diurnal tide), O1 (diurnal tide) and P1 (diurnal tide); the minor tides include: M4 (quarter diurnal tide), MS4 (quarter diurnal tide) and M6 (sixth diurnal tide).

[0086] Specifically, for each of the above simple harmonic tide components, the least squares method is used to fit it, obtaining the amplitude and phase angle of each simple harmonic tide component. The amplitude and phase angle obtained here are the harmonic constants. The amplitude represents the magnitude of the simple harmonic tide component, and the phase angle represents the time delay of the simple harmonic tide component. The obtained harmonic constants are used to reconstruct the long-term tide level, and the minimum value of the reconstructed tide level is identified. This minimum value is the theoretical lowest water level of the tide, i.e., the theoretical lowest tide level mentioned above.

[0087] In this step, the above water depth data are analyzed by harmonic analysis method to obtain the theoretical lowest tide level of the sea area to be developed, and then the initial value of the sea area water depth of the sea area to be developed is obtained.

[0088] Step S103: Obtaining the sea surface safety distance and the seabed safe operating distance, and calculating the turbine diameter based on the initial water depth value, the sea surface safety distance, and the seabed safe operating distance;

[0089] Specifically, the turbine diameter is obtained by subtracting the sea surface safety distance from the initial water depth of the sea area and then subtracting the seabed safety operation distance.

[0090] In this step, the turbine diameter is calculated based on the initial value of the sea depth, the sea surface safety distance, and the seabed safe operating distance.

[0091] Step S104: Inputting the water depth data, the sea area coastline data, and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year during which the annual average flow velocity is reached;

[0092] Preferably, the simulation years simulated by the tidal simulation model are 10 years, the preset water depth is 0.4 times the turbine diameter, and the annual average flow velocity at the preset water depth can be analyzed using the six-point method.

[0093] Specifically, the six-point method is as follows: Since the tide level changes at different times with the rise and fall of the tide, the water depth data at each moment is set to 1.0H (bottom water depth), then 0.0H represents the surface water depth, 0.2H represents the 0.2H layer water depth (the depth from the surface to this point is 0.2H), 0.4H represents the 0.4H layer water depth (the depth from the surface to this point is 0.4H), 0.6H represents the 0.6H layer water depth (the depth from the surface to this point is 0.6H), and 0.8H represents the 0.8H layer water depth (the depth from the surface to this point is 0.8H). At this point, a continuously changing flow velocity sequence is obtained for each layer. After obtaining a preset water depth of 0.4 times the turbine diameter, substitute it into the specific water depth to obtain the continuously changing flow velocity sequence value at that water depth, and then the annual average flow velocity value at this depth can be calculated.

[0094] In a preferred embodiment, the construction of the preset power flow simulation model includes:

[0095] Acquire a plurality of data samples and a plurality of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples;

[0096] Inputting the plurality of data samples into a tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples, and obtains a simulated flow velocity corresponding to the simulation year;

[0097] The relative error is calculated based on the simulated flow rate and the plurality of flow rate data samples;

[0098] The relative error is compared with a preset relative error value. If the relative error is smaller than the preset relative error, the parameters of the tidal current simulation model to be trained are adjusted and the tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

[0099] Specifically, the above tide level data samples are harmonically analyzed to obtain the harmonic constants of each tide, and then the tide height and tide time for the next year are obtained. Then, ADCP (Acoustic Doppler Current Profiler) is used to monitor the velocity and full tide in the sea area to be developed. A complete full tide includes spring tide, moderate tide and neap tide. Then, the tide level method is used to determine the full tide observation date. The tide height and tide time are obtained according to the full tide observation date to obtain the daily average tidal range. Then, the tidal range cumulative frequency curve is drawn according to the daily average tidal range. Figure 2 shown.

[0100] Specifically, the forecast tidal range within the planned observation period should meet the following requirements: the cumulative frequency of tidal range on neap tide observation dates is greater than 90%, the cumulative frequency of tidal range on mid-tide observation dates is between 40% and 50%, and the cumulative frequency of tidal range on high tide observation dates is less than 10%.

[0101] Specifically, the tidal current simulation model to be trained is first gridded, the above data samples are input into the tidal current simulation model, and the years to be simulated are set to obtain the flow velocity, flow direction, probability of occurrence of each level of flow velocity and annual average power density of the continuous time series corresponding to each simulated year. The simulated time period is overlapped with the time period corresponding to the flow velocity data sample, the simulated flow velocity curve is drawn, and the relative error between the simulated flow velocity data and the flow velocity data sample is calculated. If the relative error is greater than 85%, it is considered that the model simulation data is accurate and the model training is completed. Otherwise, it is necessary to adjust the grid division method, turbulence simulation form, driving data and other parameters to train the model, and finally obtain an accurate tidal current simulation model.

[0102] In this preferred embodiment, based on the tidal simulation model, the annual average flow velocity of the sea area to be developed at a water depth of 0.4 times the diameter of the turbine in each simulation year and the number of hours corresponding to the annual average flow velocity are obtained.

[0103] Step S105: Compare the number of hours corresponding to each simulated year with the preset number of hours, and extract the annual average flow rate of the simulated year with the number of hours greater than the preset number of hours as the target annual average flow rate;

[0104] Preferably, the preset number of hours is 3000 hours.

[0105] In this step, taking the above content as an example, the target annual average flow rate is determined by extracting the annual average flow rate corresponding to hours greater than 3,000 hours from several annual average flow rates.

[0106] Step S106: taking the minimum annual average flow rate among the target annual average flow rates as the rated flow rate of the turbine;

[0107] In this step, the rated flow rate of the turbine is determined.

[0108] Step S107: Calculating the initial rated power of the turbine according to the rated flow rate;

[0109] In a preferred embodiment, the initial rated power of the turbine is calculated based on the rated flow rate, including:

[0110] obtaining several cross sections of the turbine blade;

[0111] Obtaining the initial chord length of the first section, the initial torsion angle of the first section, and the preset parameter strategy network;

[0112] Repeat the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained;

[0113] The initial rated power is calculated based on the initial chord length, initial twist angle and the rated flow velocity of each section;

[0114] The above parameter calculation operation includes:

[0115] Obtain the initial chord length and initial torsion angle of the current section; wherein, when the current section is the first section, the initial chord length and initial torsion angle of the current section are the initial chord length and initial torsion angle of the first section;

[0116] According to the initial chord length of the current section, the initial torsion angle of the current section and the above-mentioned preset parameter strategy network, the initial chord length and initial torsion angle of the next section are calculated;

[0117] Specifically, the above preset parameter strategy network is:

[0118]

[0119] Where θ' represents the initial chord length or initial torsion angle of the next section, θ represents the initial chord length or initial torsion angle of the current section, and lr represents the learning rate, which is a hyperparameter used to control the step size of each update. Indicates the gradient of the chord length or torsion angle of the current section.

[0120] In another preferred embodiment, the initial rated power is calculated based on the initial chord length, initial twist angle and rated flow velocity of each cross section, including:

[0121] Obtain the distance from each section to the turbine blade radius, the turbine speed, and the turbine airfoil;

[0122] Preferably, the above distance is the hub radius of the turbine, which is preset to 0.06m.

[0123] Specifically, the turbine speed can be obtained by the preset tip speed ratio and the following formula:

[0124] λ=Ω×r / V;

[0125] Where λ represents the tip speed ratio, Ω represents the turbine speed, r represents the radius of each section, and V represents the rated flow velocity.

[0126] Calculating the initial inflow angle of each section and the initial relative velocity of each section based on the distance, the rotational speed of the turbine, and the rated flow rate;

[0127] Specifically, the initial inflow angle of each section is calculated according to the following formula:

[0128]

[0129] Where, Φ i represents the incoming flow angle of the i-th section, r i Represents the distance from the i-th section to the radius of the turbine blade.

[0130] Specifically, the initial relative velocity of each section is calculated according to the following formula:

[0131]

[0132] Where, represents the relative velocity of the i-th section.

[0133] According to the initial twist angle of each section and the corresponding initial incoming flow angle, the initial angle of attack of each section is calculated;

[0134] Specifically, the initial angle of attack of each section is calculated according to the following formula:

[0135] α i =Φ i -β i ;

[0136] Where, α i represents the angle of attack of the i-th section, β i represents the torsion angle of the i-th section.

[0137] According to the airfoil and the initial angle of attack of each section, an initial lift coefficient and an initial drag coefficient of each section are obtained;

[0138] Specifically, according to the airfoil and the angle of attack, the lift coefficient and drag coefficient corresponding to each section can be obtained by looking up the table.

[0139] Calculate the initial lift of each section and the initial drag of each section according to the initial relative velocity of each section, the initial chord length of each section, the initial lift coefficient of each section, and the initial drag coefficient of each section;

[0140] Specifically, the initial lift of each section is calculated according to the following formula:

[0141]

[0142] Where, L i represents the lift of the i-th section, ρ represents the density of water, in kg / m 3 , c i represents the chord length of the i-th section, C Li represents the lift coefficient of the i-th section.

[0143] Specifically, the initial resistance of each section is calculated using the following formula:

[0144]

[0145] Where D i represents the resistance of the i-th section, C Di represents the drag coefficient of the i-th section.

[0146] The initial moment of each section is calculated based on the initial inflow angle of each section, each of the distances, the initial lift of each section, and the initial drag of each section;

[0147] Specifically, the initial moment of each section is calculated according to the following formula:

[0148] M i =L i r i cos(Φ i )-D i r i sin(Φ i );

[0149] Where M i represents the moment of the i-th section.

[0150] The initial total moment of the turbine is calculated based on the number of turbine blades and the initial moment of each section.

[0151] Specifically, the initial total torque is calculated according to the following formula:

[0152]

[0153] Where M total Indicates the total moment, N indicates the number of blades, which is a preset value, and I indicates the number of sections.

[0154] The initial rated power of the turbine is calculated based on the initial total torque and the rotational speed.

[0155] Specifically, the initial rated power is calculated according to the following formula:

[0156] P=ΩM total ;

[0157] Where P represents the rated power, in W.

[0158] Step S108: determining the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate, and the initial rated power.

[0159] In a preferred embodiment, determining the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate, and the initial rated power includes:

[0160] Repeating the parameter updating operation according to the turbine diameter, the rated flow rate, and the initial rated power until the chord length and the twist angle of the turbine blade are determined;

[0161] The above parameter update operation includes:

[0162] Obtain the current rated power; wherein the initial rated power is the above-mentioned initial rated power;

[0163] Calculate the current energy efficiency based on the turbine diameter, rated flow rate and current rated power;

[0164] Specifically, the current energy acquisition efficiency is calculated according to the following formula:

[0165]

[0166] Where C p It represents energy acquisition efficiency, A represents the swept area, and the unit is m 2 , H represents the turbine diameter.

[0167] The current instant reward is calculated based on the current chord length, current torsion angle, and current energy acquisition efficiency of all sections. Specifically, the current instant reward is calculated according to the following formula:

[0168] r t =r CP +r β +r c ;

[0169] r Cp_reward =C p *10;

[0170] r Cp_penalty =-10*(C′ p -C p );

[0171] r β_monotony_reward =10;

[0172] r β_range_reward =10;

[0173] r β_monotony_penalty = -10 × T;

[0174] r β_range_penalty = -10 × N;

[0175] r c_range_reward =10;

[0176] r c_smoothness_reward =10;

[0177] r c_range_penalty = -10 × M;

[0178] r c_smoothness_penalty = -10 × k;

[0179]

[0180] Where r t represents the immediate reward, r Cp represents the immediate reward of energy acquisition efficiency, r β represents the instant reward of the twist angle, r c represents the immediate reward of chord length, C p represents energy acquisition efficiency, C′ p represents the preset energy efficiency, T represents the number of times the monotonically decreasing condition is not satisfied, N represents the number of torsion angles exceeding the range of [-5°, 45°], M represents the number of chord lengths exceeding the range of [0.05m, 0.5m], and k represents the chord length that does not satisfy |c i+1 -c i |≤0.1×c i The number of times this condition is i+1represents the chord length of the next section of the i-th section, β i represents the torsion angle of the i-th section, r Cp_reward Reward function representing energy acquisition efficiency, r Cp_penalty represents the penalty function of energy acquisition efficiency, r β_monotony_reward represents the monotonically decreasing reward function of the twist angle, r β_range_reward represents the range-limited reward function for the twist angle, r β_monotony_penalty represents the monotonically decreasing penalty function of the torsion angle, r β_range_penalty represents the range-limiting penalty function for the torsion angle, r c_range_reward represents the range-limited reward function for the chord length, r c_smoothness_reward Represents the reward function for the smoothness of the change in chord length, r c_range_penalty represents the range-limited penalty function for chord length, r c_smoothness_penalty Represents the penalty function for the smoothness of chord length changes.

[0181] Preferably, since the change of the chord length at each cross section should be smooth, a smoothing coefficient of the chord length is set, and the coefficient value is 1.1.

[0182] Preferably, the preset energy acquisition efficiency is 0.35.

[0183] Based on the current instant reward and the chord lengths and torsion angles of all current sections, calculate the updated chord length and torsion angle of the first section;

[0184] Specifically, the current instant reward is compared with the previous instant reward. If the current instant reward is greater than the previous instant reward, the updated chord length and torsion angle of the first section are calculated based on the current instant reward and the chord lengths and torsion angles of all current sections, in a preset direction and a preset step size. Otherwise, the updated chord length and torsion angle of the first section are calculated based on the current instant reward and the chord lengths and torsion angles of all current sections, in the opposite direction of the preset direction and a preset step size.

[0185] Instructively, if the current instant reward is 10, the previous instant reward is 5, the preset direction is the direction of increasing chord length and torsion angle, and the preset step size is 2, then when calculating the chord length and torsion angle after the first section is updated, the chord length and torsion angle of all current sections are increased by 2 to obtain the updated chord length and torsion angle of the first section; if the current instant reward is 10 and the previous instant reward is 15, then when calculating the chord length and torsion angle after the first section is updated, the chord length and torsion angle of all current sections are reduced by 2 to obtain the updated chord length and torsion angle of the first section.

[0186] Determine whether the updated chord length and torsion angle of the first section have converged. If so, recalculate the updated chord lengths and torsion angles of all other sections based on the updated chord length and torsion angle of the first section to determine the chord length and torsion angle of the turbine blade.

[0187] Otherwise, based on the updated chord length and torsion angle of the first section, the updated chord lengths and torsion angles of all other sections are recalculated to obtain the updated chord lengths and torsion angles of all sections. Based on the updated chord lengths and torsion angles of all sections, the updated rated power is calculated.

[0188] Specifically, in the manner of step S107, based on the updated chord length and torsion angle of the first section, the updated chord lengths and torsion angles of all other sections are recalculated to obtain the updated chord lengths and torsion angles of all sections, and based on the updated chord lengths and torsion angles of all sections, the updated rated power is calculated.

[0189] In this preferred embodiment, the chord length and twist angle of the turbine blades are obtained according to the turbine diameter, rated flow rate and initial rated power.

[0190] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0191] like Figure 3 As shown, an embodiment of the present invention provides a device for determining turbine parameters based on marine resource characteristics, comprising:

[0192] Data acquisition module, water depth calculation module, diameter calculation module, hour determination module, target annual average flow rate determination module, rated flow rate determination module, initial rated power calculation module, and chord length and torsion angle calculation module;

[0193] The data acquisition module is used to obtain the historical water depth data, historical tide level data and historical coastline data of the sea area to be developed throughout the year;

[0194] The water depth calculation module is used to obtain the theoretical lowest tide level based on the water depth data, and use the theoretical lowest tide level as the initial value of the sea depth;

[0195] The diameter calculation module is used to obtain the sea surface safety distance and the seabed safe operating distance, and calculate the turbine diameter based on the initial water depth value of the sea area, the sea surface safety distance and the seabed safe operating distance;

[0196] The hour determination module is configured to input the water depth data, the sea area coastline data, and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year during which the annual average flow velocity is reached;

[0197] The target annual average flow rate determination module is configured to compare the number of hours corresponding to each simulated year with a preset number of hours, and extract the annual average flow rate of the simulated year with a number of hours greater than the preset number of hours as the target annual average flow rate;

[0198] The rated flow rate determination module is configured to use the smallest annual average flow rate among the target annual average flow rates as the rated flow rate of the turbine;

[0199] The initial rated power calculation module is used to calculate the initial rated power of the turbine according to the rated flow rate;

[0200] The chord length and twist angle calculation module is used to determine the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate and the initial rated power.

[0201] In a preferred embodiment, the hours determination module includes:

[0202] Data sample acquisition unit, model training unit, relative error calculation unit and model determination unit;

[0203] The sample acquisition unit is used to acquire a number of data samples and a number of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples;

[0204] The model training unit is configured to input the plurality of data samples into the tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples to obtain the simulated flow velocity corresponding to the simulation year;

[0205] The relative error calculation unit is used to calculate the relative error based on the simulated flow rate and the plurality of flow rate data samples;

[0206] The above-mentioned model determination unit is used to compare the above-mentioned relative error with the preset relative error value. If the above-mentioned relative error is less than the above-mentioned preset relative error, the parameters of the above-mentioned tidal current simulation model to be trained are adjusted and the above-mentioned tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

[0207] In another preferred embodiment, the initial rated power calculation module includes:

[0208] Cross-section acquisition unit, parameter acquisition unit, initial chord length and torsion angle calculation unit, initial rated power calculation unit;

[0209] The cross-section acquisition unit is used to acquire a plurality of cross-sections of the turbine blade;

[0210] The parameter acquisition unit is used to obtain the initial chord length of the first section, the initial torsion angle of the first section, and the preset parameter strategy network;

[0211] The initial chord length and torsion angle calculation unit is used to repeatedly perform the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained;

[0212] The initial rated power calculation unit is used to calculate the initial rated power according to the initial chord length, initial torsion angle and the rated flow velocity of each section.

[0213] It should be noted that the device embodiment described above is merely illustrative, wherein the modules described above as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, in the drawings of the device embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work. The above schematic diagram is merely an example of a device for determining turbine parameters based on marine resource characteristics, and does not constitute a limitation on a device for determining turbine parameters based on marine resource characteristics. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components.

[0214] Based on the above method embodiment, the present invention provides a corresponding terminal device embodiment.

[0215] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the above memory and configured to be executed by the above processor. When the above processor executes the above computer program, a method for determining turbine parameters based on sea area resource characteristics as described in any embodiment of the present invention is implemented.

[0216] For example, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the device.

[0217] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, or a cloud server. The device may include, but is not limited to, a processor and a memory;

[0218] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the device, connecting the various parts of the device using various interfaces and lines.

[0219] The above-mentioned memory can be used to store the above-mentioned computer programs and / or modules. The above-mentioned processor realizes various functions of the above-mentioned device by running or executing the computer programs and / or modules stored in the above-mentioned memory, and calling the data stored in the memory. The above-mentioned memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; in addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0220] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment.

[0221] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a method for determining turbine parameters based on sea area resource characteristics as described in any embodiment of the present invention.

[0222] In this embodiment, the storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, an executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0223] Compared with the prior art, by implementing the above-mentioned embodiments of the present invention, the rated power of the turbine can be determined according to the local sea conditions, and then the specific turbine parameters can be obtained.

[0224] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining turbine parameters based on marine resource characteristics, characterized in that: include: Obtain historical full-year water depth data, historical full-year tide level data, and historical full-year sea area coastline data of the sea area to be developed; Obtaining a theoretical lowest tide level based on the water depth data, and using the theoretical lowest tide level as an initial value of the sea area water depth; Obtaining a sea surface safety distance and a seabed safety operating distance, and calculating a turbine diameter based on the initial water depth of the sea area, the sea surface safety distance, and the seabed safety operating distance; Inputting the water depth data, the sea area coastline data, and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year when the annual average flow velocity is reached; Compare the hours corresponding to each simulated year with the preset hours, and extract the annual average flow rate of the simulated year with hours greater than the preset hours as the target annual average flow rate; taking the minimum annual average flow rate among the target annual average flow rates as the rated flow rate of the turbine; Calculating the initial rated power of the turbine according to the rated flow rate; The chord length and twist angle of the turbine blades are determined according to the turbine diameter, the rated flow rate and the initial rated power.

2. The method for determining turbine parameters based on marine resource characteristics according to claim 1, characterized in that: The construction of the preset power flow simulation model includes: Acquire a plurality of data samples and a plurality of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples; Inputting the plurality of data samples into a tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples to obtain a simulated flow velocity corresponding to the simulation year; Calculating a relative error based on the simulated flow rate and the plurality of flow rate data samples; The relative error is compared with a preset relative error value. If the relative error is smaller than the preset relative error, the parameters of the tidal current simulation model to be trained are adjusted and the tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

3. The method for determining turbine parameters based on marine resource characteristics according to claim 2, characterized in that: The step of calculating the initial rated power of the turbine according to the rated flow rate comprises: obtaining a plurality of cross sections of the turbine blade; Obtaining the initial chord length of the first section, the initial torsion angle of the first section, and the preset parameter strategy network; Repeat the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained; Calculating the initial rated power according to the initial chord length, the initial twist angle and the rated flow velocity of each section; The parameter calculation operation includes: Obtaining an initial chord length and an initial torsion angle of the current section; wherein, when the current section is the first section, the initial chord length and the initial torsion angle of the current section are the initial chord length and the initial torsion angle of the first section; According to the initial chord length of the current section, the initial torsion angle of the current section and the preset parameter strategy network, the initial chord length and initial torsion angle of the next section are calculated.

4. The method for determining turbine parameters based on marine resource characteristics according to claim 3, characterized in that: The calculating the initial rated power according to the initial chord length, the initial twist angle and the rated flow velocity of each section includes: Obtaining the distance from each section to the radius of the turbine blade, the turbine speed, and the turbine airfoil; Calculating an initial inflow angle of each section and an initial relative velocity of each section according to the distance, the rotation speed of the turbine and the rated flow rate; Calculating the initial angle of attack of each section according to the initial twist angle of each section and the corresponding initial incoming flow angle; Obtaining an initial lift coefficient and an initial drag coefficient of each section according to the airfoil and the initial angle of attack of each section; Calculating the initial lift of each section and the initial drag of each section according to the initial relative velocity of each section, the initial chord length of each section, the initial lift coefficient of each section, and the initial drag coefficient of each section; Calculating an initial moment of each cross section according to the initial incoming flow angle of each cross section, each of the distances, the initial lift of each cross section, and the initial drag of each cross section; Calculating the initial total moment of the turbine according to the number of turbine blades and the initial moment of each section; The initial rated power of the turbine is calculated based on the initial total torque and the rotational speed.

5. The method for determining turbine parameters based on sea area resource characteristics according to claim 4, characterized in that: Determining the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate, and the initial rated power includes: Repeating the parameter updating operation according to the turbine diameter, the rated flow rate, and the initial rated power until the chord length and the twist angle of the turbine blade are determined; The parameter updating operation includes: Obtaining the current rated power; wherein the initial rated power is the initial rated power; Calculate the current energy efficiency based on the turbine diameter, rated flow rate and current rated power; Calculate the current instant reward based on the current chord length, current torsion angle, and current energy acquisition efficiency of all sections; Based on the current instant reward and the chord lengths and torsion angles of all current sections, calculate the updated chord length and torsion angle of the first section; Determine whether the updated chord length and torsion angle of the first section have converged. If so, recalculate the updated chord lengths and torsion angles of all other sections based on the updated chord length and torsion angle of the first section to determine the chord length and torsion angle of the turbine blade. Otherwise, based on the updated chord length and torsion angle of the first section, the updated chord lengths and torsion angles of all other sections are recalculated to obtain the updated chord lengths and torsion angles of all sections. Based on the updated chord lengths and torsion angles of all sections, the updated rated power is calculated.

6. A device for determining turbine parameters based on marine resource characteristics, characterized in that: include: Data acquisition module, water depth calculation module, diameter calculation module, hour determination module, target annual average flow rate determination module, rated flow rate determination module, initial rated power calculation module, and chord length and torsion angle calculation module; The data acquisition module is used to obtain the historical water depth data, historical tide level data and historical coastline data of the sea area to be developed throughout the year; The water depth calculation module is used to obtain a theoretical lowest tide level according to the water depth data, and use the theoretical lowest tide level as an initial value of the sea area water depth; The diameter calculation module is used to obtain the sea surface safety distance and the seabed safe operating distance, and calculate the turbine diameter based on the initial value of the sea area water depth, the sea surface safety distance and the seabed safe operating distance; The hour determination module is used to input the water depth data, the sea area coastline data and the tide level data into a preset tidal current simulation model to obtain, in each simulated year, the annual average flow velocity at the preset water depth of the sea area to be developed and the number of hours in a year at which the annual average flow velocity is reached; The target annual average flow rate determination module is configured to compare the number of hours corresponding to each simulated year with a preset number of hours, and extract the annual average flow rate of the simulated year with a number of hours greater than the preset number of hours as the target annual average flow rate; The rated flow rate determination module is configured to use the minimum annual average flow rate among the target annual average flow rates as the rated flow rate of the turbine; The initial rated power calculation module is used to calculate the initial rated power of the turbine according to the rated flow rate; The chord length and twist angle calculation module is used to determine the chord length and twist angle of the turbine blades according to the turbine diameter, the rated flow rate and the initial rated power.

7. The device for determining turbine parameters based on marine resource characteristics according to claim 6, characterized in that: The hours determination module includes: Data sample acquisition unit, model training unit, relative error calculation unit and model determination unit; The sample acquisition unit is used to acquire a plurality of data samples and a plurality of flow velocity data samples corresponding to the data samples; wherein the data samples include: shoreline data samples, water depth data samples and tide level data samples; The model training unit is used to input the plurality of data samples into the tidal current simulation model to be trained, so that the tidal current model to be trained simulates the flow velocity of the simulation year according to the plurality of tidal level data samples to obtain the simulated flow velocity corresponding to the simulation year; The relative error calculation unit is used to calculate the relative error based on the simulated flow rate and the plurality of flow rate data samples; The model determination unit is used to compare the relative error with a preset relative error value. If the relative error is less than the preset relative error, the parameters of the tidal current simulation model to be trained are adjusted and the tidal current simulation model is continued to be trained; otherwise, a trained tidal current simulation model is obtained.

8. The device for determining turbine parameters based on marine resource characteristics according to claim 7, characterized in that: The initial rated power calculation module includes: Cross-section acquisition unit, parameter acquisition unit, initial chord length and torsion angle calculation unit, initial rated power calculation unit; The cross-section acquisition unit is used to acquire a plurality of cross-sections of the turbine blade; The parameter acquisition unit is used to obtain the initial chord length of the first section, the initial torsion angle of the first section, and a preset parameter strategy network; The initial chord length and torsion angle calculation unit is used to repeatedly perform the first parameter calculation operation until the initial chord lengths and initial torsion angles of all sections are obtained; The initial rated power calculation unit is used to calculate the initial rated power according to the initial chord length, initial torsion angle and rated flow velocity of each cross section.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a method for determining turbine parameters based on sea area resource characteristics as described in any one of claims 1 to 5 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the method for determining turbine parameters based on sea area resource characteristics as described in any one of claims 1 to 5.

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