Floating photovoltaic array resonance processing method and device, electronic equipment and storage medium

Abstract

The application discloses a resonance processing method and device of a floating photovoltaic array, electronic equipment and a readable storage medium, and belongs to the engineering field, and comprises the following steps: acquiring environmental parameters of a target sea area and structural parameters of the floating photovoltaic array; determining a spectral peak frequency of energy concentration in the target sea area based on the environmental parameters; generating a current wet modal analysis model of the floating photovoltaic array based on the structural parameters; determining a plurality of candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model; determining a resonance risk coefficient based on the spectral peak frequency and the plurality of candidate wet modal resonance frequencies; determining whether there is a resonance risk based on the resonance risk coefficient; if there is a resonance risk, a resonance adjustment scheme is generated; and if there is no resonance risk, the process is ended. The application fills the technical gap in the field and provides clear and operable design basis for engineering practice.

Description

Technical Field

[0001] This application belongs to the field of engineering and specifically relates to a resonance processing method for a floating photovoltaic array, a resonance processing device for a floating photovoltaic array, an electronic device, and a readable storage medium. Background Technology

[0002] With the rapid development of offshore photovoltaic power generation technology, flexible modular floating photovoltaic arrays have become an important form of nearshore photovoltaic development due to their advantages such as simple structure, low manufacturing cost, and wide adaptability to water depths. This type of structure is assembled from a large number of floating units through flexible connectors, and features a large horizontal dimension and significant overall flexibility.

[0003] However, ocean wave loads are complex. When the wave frequency is close to the natural frequency of the floating photovoltaic array, hydroelastic resonance is likely to occur, which leads to a sharp increase in motion amplitude, a significant increase in stress on the connectors, and even structural fatigue failure or overturning.

[0004] Currently, there is a lack of systematic methods for resonance avoidance design of flexible spliced ​​floating photovoltaic systems. Engineers find it difficult to efficiently obtain design solutions that meet resonance safety requirements, and thus cannot provide a reliable basis for the engineering safety design of offshore photovoltaic systems. Summary of the Invention

[0005] To solve the above-mentioned technical problems, this application is implemented as follows: In a first aspect, embodiments of this application provide a resonance processing method for a floating photovoltaic array, the method comprising: Obtain environmental parameters of the target sea area, as well as structural parameters of the floating photovoltaic array; The frequency of the energy concentration spectral peaks in the target sea area is determined based on the environmental parameters. The current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; Based on the current wet modal analysis model, multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined; The resonance risk factor is determined based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies; The existence of resonance risk is determined based on the aforementioned resonance hazard coefficient; If there is a risk of resonance, a resonance adjustment plan will be generated; if there is no risk of resonance, the process will end.

[0006] In one or more embodiments, if the resonance adjustment scheme is generated, it further includes: The resonance adjustment scheme is executed to update the current wet modal analysis model, resulting in an updated wet modal analysis model. The updated wet modal analysis model is used as the current wet modal analysis model, and the process jumps to determining multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model.

[0007] In one or more embodiments, acquiring the environmental parameters of the target sea area and the structural parameters of the floating photovoltaic array includes: Obtain the time series of water depth and wave surface data for the target sea area; The length, average height, average density, center distance between floating plates, and spring connection stiffness between floating plates of the floating photovoltaic array are obtained.

[0008] In one or more embodiments, determining the spectral peak frequency of energy concentration in the target sea area based on the environmental parameters includes: Perform a Fourier transform on the wave surface time series in the structural parameters to obtain the discrete wave amplitude and circular frequency. The discrete amplitude and circular frequency of the wave are analyzed to identify the spectral peaks, and the energy-concentrated spectral peak frequencies are obtained.

[0009] In one or more embodiments, generating a current wet modal analysis model of the floating photovoltaic array based on the structural parameters includes: The target sea area is equivalent to a rectangular region, and the floating photovoltaic array is equivalent to a continuous elastic floating plate; The equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats in the structural parameters. The rectangular region and the elastic float are then combined to obtain the current wet modal analysis model.

[0010] In one or more embodiments, determining multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model includes: The wet modal natural frequencies of the floating photovoltaic array are calculated using the current wet modal analysis model. The wet modal resonant frequencies corresponding to the first N modes are calculated using the wet modal natural frequencies and the preset modal functions; where N is a positive integer.

[0011] In one or more embodiments, determining the resonance hazard factor based on the spectral peak frequency and the plurality of candidate wet modal resonance frequencies includes: Determine the first and second modal resonance frequencies that are closest to the spectral peak frequencies from a plurality of candidate wet modal resonance frequencies; The resonance risk factor is calculated using the spectral peak frequency, the first modal resonance frequency, and the second modal resonance frequency.

[0012] In one or more embodiments, determining whether there is a resonance risk based on the resonance hazard coefficient includes: Detect whether the resonance risk factor exceeds the preset resonance range; If the resonance exceeds the preset resonance range, there is a risk of resonance; if the resonance does not exceed the preset resonance range, there is no risk of resonance.

[0013] Secondly, embodiments of this application provide a resonant processing device for a floating photovoltaic array, the device comprising: The acquisition module is used to acquire environmental parameters of the target sea area, as well as structural parameters of the floating photovoltaic array; The first processing module is used to determine the spectral peak frequency of energy concentration in the target sea area based on the environmental parameters; The second processing module is used to generate the current wet modal analysis model of the floating photovoltaic array based on the structural parameters; The third processing module is used to determine multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model. The fourth processing module is used to determine the resonance risk factor based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies; The fifth processing module is used to determine whether there is a resonance risk based on the resonance hazard coefficient; The sixth processing module is used to generate a resonance adjustment plan if there is a resonance risk; otherwise, the process ends.

[0014] In one or more embodiments, it further includes: An update module is used to update the current wet modal analysis model by executing the resonance adjustment scheme if the resonance adjustment scheme is generated, so as to obtain an updated wet modal analysis model. The seventh processing module is used to take the updated wet modal analysis model as the current wet modal analysis model and call the third processing module.

[0015] In one or more embodiments, the acquisition module is specifically used for: Obtain the time series of water depth and wave surface data for the target sea area; The length, average height, average density, center distance between floating plates, and spring connection stiffness between floating plates of the floating photovoltaic array are obtained.

[0016] In one or more embodiments, the first processing module is specifically used for: Perform a Fourier transform on the wave surface time series in the structural parameters to obtain the discrete wave amplitude and circular frequency. The discrete amplitude and circular frequency of the wave are analyzed to identify the spectral peaks, and the energy-concentrated spectral peak frequencies are obtained.

[0017] In one or more embodiments, the second processing module is specifically used for: The target sea area is equivalent to a rectangular region, and the floating photovoltaic array is equivalent to a continuous elastic floating plate; The equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats in the structural parameters. The rectangular region and the elastic float are then combined to obtain the current wet modal analysis model.

[0018] In one or more embodiments, the third processing module is specifically used for: The wet modal natural frequencies of the floating photovoltaic array are calculated using the current wet modal analysis model. The wet modal resonant frequencies corresponding to the first N modes are calculated using the wet modal natural frequencies and the preset modal functions; where N is a positive integer.

[0019] In one or more embodiments, the fourth processing module is specifically used for: Determine the first and second modal resonance frequencies that are closest to the spectral peak frequencies from a plurality of candidate wet modal resonance frequencies; The resonance risk factor is calculated using the spectral peak frequency, the first modal resonance frequency, and the second modal resonance frequency.

[0020] In one or more embodiments, the fifth processing module is specifically used for: Detect whether the resonance risk factor exceeds the preset resonance range; If the resonance exceeds the preset resonance range, there is a risk of resonance; if the resonance does not exceed the preset resonance range, there is no risk of resonance.

[0021] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0022] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0023] In this embodiment, environmental parameters of the target sea area and structural parameters of the floating photovoltaic array are obtained; the spectral peak frequencies of energy concentration in the target sea area are determined based on the environmental parameters; a current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined based on the current wet modal analysis model; a resonance hazard coefficient is determined based on the spectral peak frequencies and the multiple candidate wet modal resonance frequencies; the existence of resonance risk is determined based on the resonance hazard coefficient; if resonance risk exists, a resonance adjustment scheme is generated; if no resonance risk exists, the process ends. Thus, addressing the current lack of a systematic method for resonance avoidance of flexible floating photovoltaic arrays, a complete design process of "wave spectrum analysis—wet modal calculation—resonance hazard coefficient determination—parameter adjustment" is proposed for the first time, filling a technological gap in this field and providing a clear and operable design basis for engineering practice.

[0024] Moreover, by establishing a wet modal analysis model of the flexible floating photovoltaic array and combining it with the wave spectrum characteristics of the target sea area, the resonance risk coefficient was quantitatively defined, avoiding the drawbacks of traditional reliance on experience-based judgment, and realizing rapid identification and accurate assessment of resonance risk.

[0025] Furthermore, when a resonance risk is identified, a precise parameter adjustment scheme is provided, taking into account both structural safety and economy, which can provide key technical support for the resonance safety design of offshore flexible floating photovoltaic systems. Attached Figure Description

[0026] Figure 1 This is a flowchart of the steps in a first embodiment of the resonance processing method for a floating photovoltaic array according to the present invention; Figure 2 This is a flowchart of the steps in Embodiment 2 of the resonance processing method for a floating photovoltaic array of the present invention; Figure 3 This is the wet modal analysis model of the flexible floating photovoltaic array of the present invention; Figure 4 This is a schematic diagram of the wave surface time series of the incident wave in the target sea area of ​​the present invention; Figure 5 This is a schematic diagram of the wave spectrum obtained by the discrete Fourier transform of the present invention; Figure 6 This is a structural block diagram of an embodiment of a resonant processing device for a floating photovoltaic array according to the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0028] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0029] The embodiments of this application will be described in detail below with reference to the accompanying drawings and specific examples and application scenarios.

[0030] Reference Figure 1 The diagram illustrates a flowchart of a first embodiment of the resonance processing method for a floating photovoltaic array according to the present invention, which specifically includes the following steps: Step 101: Obtain the environmental parameters of the target sea area and the structural parameters of the floating photovoltaic array.

[0031] Specifically, it is possible to obtain environmental parameters of the sea area where the floating photovoltaic array is deployed (referred to as the "target sea area" for ease of description), as well as the structural parameters of the floating photovoltaic array.

[0032] Among them, environmental parameters may include water depth H Wave surface time series Structural parameters may include the length of the floating photovoltaic array. L ,average height d average density Center distance of the float l And, the stiffness of the torsional spring connection between the floats .

[0033] It should be noted that, in addition to the parameters mentioned above, environmental parameters and structural parameters may also include other parameters. In practical applications, the specific parameters included in environmental parameters and structural parameters can be set according to actual needs, and this application embodiment does not impose any restrictions on this.

[0034] Step 102: Determine the spectral peak frequencies of energy concentration in the target sea area based on the environmental parameters.

[0035] Specifically, after obtaining the environmental parameters, the amplitude and circular frequency of the irregular waves can be determined by using the Fast Fourier Transform on the wave surface time series, as shown in the following formula:

[0036]

[0037] in, Let n be the amplitude of the nth wave. Let n be the angular frequency of the nth wave. For the phase of the nth wave, For the first n The wave number of each wave.

[0038] Then, identify the wave with the largest amplitude. n Frequency of a wave represents the frequency of the spectral peak where energy is concentrated. Among them, the th... n One wave represents the wave with the largest amplitude.

[0039] Step 103: Generate the current wet modal analysis model of the floating photovoltaic array based on the structural parameters.

[0040] Specifically, the target sea area can be equivalent to a rectangular region, and the floating photovoltaic array can be equivalent to a continuous elastic floating plate. Combining the rectangular region and the elastic floating plate yields the wet modal analysis model (denoted as the "current wet modal analysis model"). Figure 2 As shown.

[0041] in, For free water surface, For the surface of the model structure, This is the left facade. This is the right-side facade. The equivalent density of the current wet modal analysis model is the bottom surface of the model structure. The length of the elastic float is L The thickness is equal to the average height of the floating body unit. d .

[0042] Then, the equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats from the structural parameters. EI The specific formula is as follows:

[0043] Step 104: Determine multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model.

[0044] Specifically, the wet modal analysis model can be used to calculate the wet modal natural frequencies of the floating photovoltaic array. The vibration equation of the elastic structure under wave force after modal expansion is as follows:

[0045] in, x The x-axis is... i It is an imaginary number. For the incident potential, This is a diffraction potential.

[0046] Considering the added mass and radiation damping effect in the water and neglecting other external forces, the above equation can be transformed into:

[0047] The Galerkin method is used for analysis, and both sides of the equation are multiplied by a preset modal function. The following equation is obtained by integrating the surface area of ​​the current wet modal model:

[0048] The above formula can be written in the form of matrix multiplication:

[0049] The wet modal resonance frequency corresponds to the case where the above equation has a non-zero solution, that is, the matrix... The frequency when the determinant is zero. Therefore, we only need to consider the real part of the wet modal resonance frequency, thus obtaining the first... m The wet modal resonance frequencies corresponding to each wet mode are: .

[0050] in, For fluid density, g It is the acceleration due to gravity. Refers to wave frequency. The density per unit area of ​​the structure. The proportion of each mode, For the first n Natural mode functions of each mode:

[0051]

[0052] in, and These are the real roots of the following equations:

[0053]

[0054] It is the radiation function, representing the first...n The wave radiation effect generated when a mode vibrates with a unit amplitude can be calculated by establishing the following boundary integral equation:

[0055] in, The following conditions must be met at the boundary surface:

[0056]

[0057]

[0058] in, i It is an imaginary number. k It is the wave number.

[0059] The fixed angle factor is calculated using the following formula:

[0060] The Green's function is expressed as follows:

[0061]

[0062] Step 105: Determine the resonance risk factor based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies.

[0063] Specifically, the first mode closest to the spectral peak frequency can be determined from multiple candidate wet modal resonance frequencies. m 1 Resonant frequency Second mode m 2 resonant frequencies Then, the resonance hazard factor is calculated using the spectral peak frequency, the first mode resonance frequency, and the second mode resonance frequency; that is, the resonance hazard factor. for and , The maximum value of the ratio is given by the following formula:

[0064] Step 106: Determine whether there is a resonance risk based on the resonance hazard coefficient.

[0065] Specifically, after calculating the resonance risk coefficient, it is possible to check whether the resonance risk coefficient exceeds the preset resonance range, such as 0.9 to 1.1. If it exceeds the preset resonance range, it means that there is a resonance risk; if it does not exceed the preset resonance range, it means that there is no resonance risk.

[0066] It should be noted that, in addition to the values ​​mentioned above, the resonance range can also be set to other values. In practical applications, the specific value of the resonance range can be set according to actual needs, and this application embodiment does not impose any restrictions on this.

[0067] Step 107: If there is a resonance risk, generate a resonance adjustment plan; if there is no resonance risk, end the process.

[0068] Specifically, if there is a risk of resonance, a resonance adjustment plan can be generated to address the risk later; if there is no risk of resonance, the plan is feasible and no adjustment is needed at present, thus ending the process.

[0069] In this embodiment, environmental parameters of the target sea area and structural parameters of the floating photovoltaic array are obtained; the spectral peak frequencies of energy concentration in the target sea area are determined based on the environmental parameters; a current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined based on the current wet modal analysis model; a resonance hazard coefficient is determined based on the spectral peak frequencies and the multiple candidate wet modal resonance frequencies; the existence of resonance risk is determined based on the resonance hazard coefficient; if resonance risk exists, a resonance adjustment scheme is generated; if no resonance risk exists, the process ends. Thus, addressing the current lack of a systematic method for resonance avoidance of flexible floating photovoltaic arrays, a complete design process of "wave spectrum analysis—wet modal calculation—resonance hazard coefficient determination—parameter adjustment" is proposed for the first time, filling a technological gap in this field and providing a clear and operable design basis for engineering practice.

[0070] Moreover, by establishing a wet modal analysis model of the flexible floating photovoltaic array and combining it with the wave spectrum characteristics of the target sea area, the resonance risk coefficient was quantitatively defined, avoiding the drawbacks of traditional reliance on experience-based judgment, and realizing rapid identification and accurate assessment of resonance risk.

[0071] Furthermore, when a resonance risk is identified, a precise parameter adjustment scheme is provided, taking into account both structural safety and economy, which can provide key technical support for the resonance safety design of offshore flexible floating photovoltaic systems.

[0072] Reference Figure 2 The flowchart illustrates a second embodiment of the resonance processing method for a floating photovoltaic array according to the present invention, which specifically includes the following steps: Step 201: Obtain the environmental parameters of the target sea area and the structural parameters of the floating photovoltaic array.

[0073] Specifically, it can obtain environmental parameters of the target sea area where the floating photovoltaic array is deployed, as well as the structural parameters of the floating photovoltaic array.

[0074] Among them, environmental parameters may include water depth H Wave surface time series Structural parameters may include the length of the floating photovoltaic array. L ,average height d average density Center distance of the float l And, the stiffness of the torsional spring connection between the floats .

[0075] It should be noted that, in addition to the parameters mentioned above, environmental parameters and structural parameters may also include other parameters. In practical applications, the specific parameters included in environmental parameters and structural parameters can be set according to actual needs, and this application embodiment does not impose any restrictions on this.

[0076] Step 202: Determine the spectral peak frequencies of energy concentration in the target sea area based on the environmental parameters.

[0077] Specifically, after obtaining the environmental parameters, the amplitude and circular frequency of the irregular waves can be determined by using the Fast Fourier Transform on the wave surface time series, as shown in the following formula:

[0078] in, Let n be the amplitude of the nth wave. Let n be the angular frequency of the nth wave. This represents the phase of the nth wave.

[0079] Then, identify the wave with the largest amplitude. n Frequency of a wave The frequency of the spectral peaks where energy is concentrated.

[0080] Step 203: Generate the current wet modal analysis model of the floating photovoltaic array based on the structural parameters.

[0081] Specifically, the target sea area can be equivalent to a rectangular region, and the floating photovoltaic array can be equivalent to a continuous elastic floating plate. Combining the rectangular region and the elastic floating plate yields the wet modal analysis model (denoted as the "current wet modal analysis model"). Figure 3 As shown.

[0082] in, For free water surface, For the surface of the model structure, This is the left facade. This is the right-side facade. The equivalent density of the current wet modal analysis model is the bottom surface of the model structure. The length of the elastic float is L The thickness is equal to the average height of the floating body unit. d .

[0083] Then, the equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats from the structural parameters. EI The specific formula is as follows:

[0084] Step 204: Determine multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model.

[0085] Specifically, the wet modal analysis model can be used to calculate the wet modal natural frequencies of the floating photovoltaic array. The vibration equation of the elastic structure under wave force after modal expansion is as follows:

[0086] Considering the added mass in the water and the radiation damping effect, and neglecting other external forces, the above equation becomes:

[0087] The Galerkin method is used for analysis, and both sides of the equation are multiplied by a preset modal function. The following equation is obtained by integrating the surface area of ​​the current wet modal model:

[0088] The above formula can be written in the form of matrix multiplication:

[0089] The wet modal resonance frequency corresponds to the case where the above equation has a non-zero solution, that is, the matrix... The frequency when the determinant is zero. Therefore, we only need to consider the real part of the wet modal resonance frequency, thus obtaining... m The wet modal resonance frequencies corresponding to each mode are: .

[0090] in, For fluid density, g It is the acceleration due to gravity. Refers to wave frequency. The density per unit area of ​​the structure. The proportion of each mode, For the first n Natural mode functions of each mode:

[0091]

[0092] in, and These are the real roots of the following equations:

[0093]

[0094] It is the radiation function, representing the first... n The wave radiation effect generated when a mode vibrates with a unit amplitude can be calculated by establishing the following boundary integral equation:

[0095] in, The following conditions must be met at the boundary surface:

[0096]

[0097]

[0098] The fixed angle factor is calculated using the following formula:

[0099] The Green's function is expressed as follows:

[0100]

[0101] Step 205: Determine the resonance risk factor based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies.

[0102] Specifically, the first mode closest to the spectral peak frequency can be determined from multiple candidate wet modal resonance frequencies. m 1 Resonant frequency Second mode m 2 resonant frequencies Then, the resonance hazard factor is calculated using the spectral peak frequency, the first mode resonance frequency, and the second mode resonance frequency; that is, the resonance hazard factor. for and , The maximum value of the ratio is given by the following formula:

[0103] Step 206: Determine whether there is a resonance risk based on the resonance hazard coefficient.

[0104] Specifically, after calculating the resonance risk coefficient, it is possible to check whether the resonance risk coefficient exceeds the preset resonance range, such as 0.9 to 1.1. If it exceeds the preset resonance range, it means that there is a resonance risk; if it does not exceed the preset resonance range, it means that there is no resonance risk.

[0105] It should be noted that, in addition to the values ​​mentioned above, the resonance range can also be set to other values. In practical applications, the specific value of the resonance range can be set according to actual needs, and this application embodiment does not impose any restrictions on this.

[0106] Step 207: If there is a resonance risk, generate a resonance adjustment plan; if there is no resonance risk, end the process.

[0107] Specifically, if there is a risk of resonance, a resonance adjustment plan can be generated to address the risk later; if there is no risk of resonance, the plan is feasible and no adjustment is needed at present, thus ending the process.

[0108] Step 208: Execute the resonance adjustment scheme to update the current wet modal analysis model, obtain the updated wet modal analysis model, use the updated wet modal analysis model as the current wet modal analysis model, and jump to the step of determining multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model.

[0109] Specifically, the main parameter affecting the wet mode resonant frequency of a flexible floating photovoltaic array is the stiffness of the torsional spring connection between the floating plates. Therefore, it can be adjusted To change and In other words, the resonance adjustment scheme can be achieved by adjusting... The current wet modal analysis model is updated to obtain the updated wet modal analysis model.

[0110] Then, the updated wet modal analysis model is used as the new current wet modal analysis model, and the process jumps to step 204 to re-determine whether there is a resonance risk, until it is determined that there is no resonance risk.

[0111] In this embodiment, environmental parameters of the target sea area and structural parameters of the floating photovoltaic array are obtained; the spectral peak frequencies of energy concentration in the target sea area are determined based on the environmental parameters; a current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined based on the current wet modal analysis model; a resonance hazard coefficient is determined based on the spectral peak frequencies and the multiple candidate wet modal resonance frequencies; the existence of resonance risk is determined based on the resonance hazard coefficient; if resonance risk exists, a resonance adjustment scheme is generated; if no resonance risk exists, the process ends. Thus, addressing the current lack of a systematic method for resonance avoidance of flexible floating photovoltaic arrays, a complete design process of "wave spectrum analysis—wet modal calculation—resonance hazard coefficient determination—parameter adjustment" is proposed for the first time, filling a technological gap in this field and providing a clear and operable design basis for engineering practice.

[0112] Moreover, by establishing a wet modal analysis model of the flexible floating photovoltaic array and combining it with the wave spectrum characteristics of the target sea area, the resonance risk coefficient was quantitatively defined, avoiding the drawbacks of traditional reliance on experience-based judgment, and realizing rapid identification and accurate assessment of resonance risk.

[0113] Furthermore, when a resonance risk is determined, a precise parameter adjustment scheme is provided, and the resonance risk is reassessed using the parameter adjustment scheme until it is eliminated. This approach balances structural safety and economy, and can provide key technical support for the resonance safety design of offshore flexible floating photovoltaic systems.

[0114] For ease of understanding, the embodiments of this application are illustrated with the following specific examples.

[0115] In a specific sea area, a flexible floating photovoltaic array is 80m long, with an average height of 0.6m and an average density of [missing information]. The center-to-center distance between the floats is 1m. The floats are directly connected by torsion springs with a stiffness of [missing information]. The target sea area has a water depth of 30m, and the time series of the incident wave surface is as follows: Figure 4 As shown, it is necessary to detect whether there is a risk of hydroelastic resonance in the flexible floating photovoltaic array. If there is a risk, an adjustment plan should be provided, and adjustments should be made directly according to the adjustment plan.

[0116] Step 1: Determine the environmental and structural parameters.

[0117] Determine the water depth of the target sea area H Wave surface time series of the target sea area at a depth of 30m. like Figure 4 As shown.

[0118] The determined structural parameters include: length of the flexible floating photovoltaic array. LIt is 80m high and has an average height. d It is 0.6m, with an average density It is 833.33 kg / m 3 center distance of the float l The stiffness of the torsional spring connection between the floats is 1m. for .

[0119] Step 2: Analyze the wave spectrum of the target sea area and identify the frequencies of spectral peaks where energy is concentrated. Figure 4 The wave surface time series is written in discrete form using Fast Fourier Transform:

[0120] The discrete amplitude and angular frequency of a given irregular wave can be expressed as follows: Figure 5 The wave spectrum shown is illustrated in Table 1, with specific parameters as follows:

[0121] Table 1 Identifying the data in Table 1, the spectral peak frequency can be determined to be approximately 1.21 rad / s.

[0122] Step 3: Establish a wet modal analysis model for the flexible floating photovoltaic array. The flexible, modular floating photovoltaic array is treated as a single, continuous, elastic floating plate, such as... Figure 3 As shown, For free water surface, For the surface of the model structure, This is the left facade. This is the right-side facade. This is the bottom surface of the model structure. The length of this floating plate is... L The thickness is taken as the average height of the floating body unit. d The equivalent density of the floating plate is Equivalent bending stiffness EI It can be obtained by conversion using the following formula:

[0123] Based on this equivalent elastic floating plate, the wet mode resonance frequency of the flexible floating photovoltaic array is solved by taking into account the influence of additional water mass.

[0124] Step 4: Calculate the wet modal resonant frequencies of the flexible floating photovoltaic array. To determine the wet modal natural frequencies of the elastic floating plate, consider the added mass and radiation damping of the structure in water and neglect other external forces. The vibration equation of the elastic structure under wave force after modal unfolding is:

[0125] Considering the added mass and radiation damping effect in the water and neglecting other external forces, the above equation can be transformed into:

[0126] Using the Galerkin method for analysis, both sides of the equation are multiplied by the modal function. And obtain the area integral at the bottom of the model structure

[0127] The above formula can be written in the form of matrix multiplication:

[0128] The wet modal resonance frequency corresponds to the case where the above equation has a non-zero solution, i.e., the matrix... The frequency when the determinant is zero. The calculated wet modal resonance frequencies for the first three modes are 0.279 rad / s, 0.735 rad / s, and 1.289 rad / s, respectively.

[0129] Step 5: Calculate the resonance hazard coefficient and determine whether there is a resonance risk.

[0130] Retrieve the peak frequency of the wave spectrum The most recent modal resonance frequencies are 0.735 rad / s and 1.289 rad / s, and the resonance risk factor is... The calculation is as follows:

[0131]

[0132] Because 0.646 > 0.061, therefore .

[0133] because The value is in the range of 0.9 to 1.1, so there is a risk of resonance.

[0134] Step 6: If there is a risk of resonance, provide an adjustment plan; otherwise, the process ends.

[0135] By adjusting Changeable and This leads to the determination of the resonance risk factor. Adjustment schemes that are controlled outside the range of 0.9 to 1.1.

[0136] For example, from Adjusted to Then, through steps 3 and 4, the wet modal resonance frequencies corresponding to the new first three modes are calculated to be 0.278 rad / s, 0.735 rad / s, and 1.563 rad / s, respectively.

[0137] Off-wave spectrum peak frequency The most recent modal resonance frequencies are 0.735 rad / s and 1.563 rad / s, and the resonance risk factor is... The calculation is as follows:

[0138]

[0139] Because 0.646 > 0.226, therefore .

[0140] Due to the corresponding adjusted plan Since it is not within the range of 0.9 to 1.1, there is no risk of resonance, the requirements are met, and the process ends.

[0141] It should be noted that the resonance processing method for floating photovoltaic arrays provided in this application embodiment can be executed by a virtual device, or a control module within the virtual device for executing the resonance processing method for loading the floating photovoltaic array. This application embodiment uses the execution of the resonance processing method for loading the floating photovoltaic array by a virtual device as an example to illustrate the resonance processing method for floating photovoltaic arrays provided in this application embodiment.

[0142] Reference Figure 6 The diagram shows a structural block diagram of an embodiment of a resonant processing device for a floating photovoltaic array according to the present invention, which may specifically include the following modules: The acquisition module 601 is used to acquire environmental parameters of the target sea area and structural parameters of the floating photovoltaic array; The first processing module 602 is used to determine the spectral peak frequency of energy concentration in the target sea area based on the environmental parameters; The second processing module 603 is used to generate a current wet modal analysis model of the floating photovoltaic array based on the structural parameters. The third processing module 604 is used to determine multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model. The fourth processing module 605 is used to determine the resonance hazard coefficient based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies; The fifth processing module 606 is used to determine whether there is a resonance risk based on the resonance hazard coefficient; The sixth processing module 607 is used to generate a resonance adjustment plan if there is a resonance risk; otherwise, the process ends.

[0143] In this embodiment of the application, it also includes: An update module is used to update the current wet modal analysis model by executing the resonance adjustment scheme if the resonance adjustment scheme is generated, so as to obtain an updated wet modal analysis model. The seventh processing module is used to take the updated wet modal analysis model as the current wet modal analysis model and call the third processing module.

[0144] In this embodiment of the application, the acquisition module is specifically used for: Obtain the time series of water depth and wave surface data for the target sea area; The length, average height, average density, center distance between floating plates, and spring connection stiffness between floating plates of the floating photovoltaic array are obtained.

[0145] In this embodiment of the application, the first processing module is specifically used for: Perform a Fourier transform on the wave surface time series in the structural parameters to obtain the discrete wave amplitude and circular frequency. The discrete amplitude and circular frequency of the wave are analyzed to identify the spectral peaks, and the energy-concentrated spectral peak frequencies are obtained.

[0146] In this embodiment of the application, the second processing module is specifically used for: The target sea area is equivalent to a rectangular region, and the floating photovoltaic array is equivalent to a continuous elastic floating plate; The equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats in the structural parameters. The rectangular region and the elastic float are then combined to obtain the current wet modal analysis model.

[0147] In this embodiment of the application, the third processing module is specifically used for: The wet modal natural frequencies of the floating photovoltaic array are calculated using the current wet modal analysis model. The wet modal resonant frequencies corresponding to the first N modes are calculated using the wet modal natural frequencies and the preset modal functions; where N is a positive integer.

[0148] In this embodiment of the application, the fourth processing module is specifically used for: Determine the first and second modal resonance frequencies that are closest to the spectral peak frequencies from a plurality of candidate wet modal resonance frequencies; The resonance risk factor is calculated using the spectral peak frequency, the first modal resonance frequency, and the second modal resonance frequency.

[0149] In this embodiment of the application, the fifth processing module is specifically used for: Detect whether the resonance risk factor exceeds the preset resonance range; If the resonance exceeds the preset resonance range, there is a risk of resonance; if the resonance does not exceed the preset resonance range, there is no risk of resonance.

[0150] In this embodiment, environmental parameters of the target sea area and structural parameters of the floating photovoltaic array are obtained; the spectral peak frequencies of energy concentration in the target sea area are determined based on the environmental parameters; a current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined based on the current wet modal analysis model; a resonance hazard coefficient is determined based on the spectral peak frequencies and the multiple candidate wet modal resonance frequencies; the existence of resonance risk is determined based on the resonance hazard coefficient; if resonance risk exists, a resonance adjustment scheme is generated; if no resonance risk exists, the process ends. Thus, addressing the current lack of a systematic method for resonance avoidance of flexible floating photovoltaic arrays, a complete design process of "wave spectrum analysis—wet modal calculation—resonance hazard coefficient determination—parameter adjustment" is proposed for the first time, filling a technological gap in this field and providing a clear and operable design basis for engineering practice.

[0151] Moreover, by establishing a wet modal analysis model of the flexible floating photovoltaic array and combining it with the wave spectrum characteristics of the target sea area, the resonance risk coefficient was quantitatively defined, avoiding the drawbacks of traditional reliance on experience-based judgment, and realizing rapid identification and accurate assessment of resonance risk.

[0152] Furthermore, when a resonance risk is identified, a precise parameter adjustment scheme is provided, taking into account both structural safety and economy, which can provide key technical support for the resonance safety design of offshore flexible floating photovoltaic systems.

[0153] The virtual device in this application embodiment can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, a mobile electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. A non-mobile electronic device can be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not impose specific limitations.

[0154] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described floating photovoltaic array resonance processing method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0155] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0156] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0157] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0158] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for resonant processing of a floating photovoltaic array, characterized in that, include: Obtain environmental parameters of the target sea area, as well as structural parameters of the floating photovoltaic array; The frequency of the energy concentration spectral peaks in the target sea area is determined based on the environmental parameters. The current wet modal analysis model of the floating photovoltaic array is generated based on the structural parameters; Based on the current wet modal analysis model, multiple candidate wet modal resonance frequencies of the floating photovoltaic array are determined; The resonance risk factor is determined based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies; The existence of resonance risk is determined based on the aforementioned resonance hazard coefficient; If there is a risk of resonance, a resonance adjustment plan will be generated; If there is no risk of resonance, the process ends.

2. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, If the resonance adjustment scheme is generated, it further includes: The resonance adjustment scheme is executed to update the current wet modal analysis model, resulting in an updated wet modal analysis model. The updated wet modal analysis model is used as the current wet modal analysis model, and the process jumps to determining multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model.

3. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, The acquisition of environmental parameters of the target sea area and structural parameters of the floating photovoltaic array includes: Obtain the time series of water depth and wave surface data for the target sea area; The length, average height, average density, center distance between floating plates, and spring connection stiffness between floating plates of the floating photovoltaic array are obtained.

4. The resonance treatment method for a floating photovoltaic array according to claim 1, characterized in that, Determining the spectral peak frequencies of energy concentration in the target sea area based on the environmental parameters includes: Perform a Fourier transform on the wave surface time series in the structural parameters to obtain the discrete wave amplitude and circular frequency. The discrete amplitude and circular frequency of the wave are analyzed to identify the spectral peaks, and the energy-concentrated spectral peak frequencies are obtained.

5. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, The process of generating the current wet modal analysis model of the floating photovoltaic array based on the structural parameters includes: The target sea area is equivalent to a rectangular region, and the floating photovoltaic array is equivalent to a continuous elastic floating plate; The equivalent bending stiffness of the elastic float is calculated using the center distance between the floats and the spring connection stiffness between the floats in the structural parameters. The rectangular region and the elastic float are then combined to obtain the current wet modal analysis model.

6. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, The determination of multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model includes: The wet modal natural frequencies of the floating photovoltaic array are calculated using the current wet modal analysis model. The wet modal resonant frequencies corresponding to the first N modes are calculated using the wet modal natural frequencies and the preset modal functions; where N is a positive integer.

7. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, The determination of the resonance risk factor based on the spectral peak frequency and the multiple candidate wet modal resonance frequencies includes: Determine the first and second modal resonance frequencies that are closest to the spectral peak frequencies from a plurality of candidate wet modal resonance frequencies; The resonance risk factor is calculated using the spectral peak frequency, the first modal resonance frequency, and the second modal resonance frequency.

8. The resonance processing method for a floating photovoltaic array according to claim 1, characterized in that, The determination of whether there is a resonance risk based on the resonance hazard coefficient includes: Detect whether the resonance risk factor exceeds the preset resonance range; If the resonance exceeds the preset resonance range, there is a risk of resonance; if the resonance does not exceed the preset resonance range, there is no risk of resonance.

9. A device for resonant processing of a floating photovoltaic array, characterized in that, include: The acquisition module is used to acquire environmental parameters of the target sea area, as well as structural parameters of the floating photovoltaic array; The first processing module is used to determine the spectral peak frequency of energy concentration in the target sea area based on the environmental parameters; The second processing module is used to generate the current wet modal analysis model of the floating photovoltaic array based on the structural parameters; The third processing module is used to determine multiple candidate wet modal resonance frequencies of the floating photovoltaic array based on the current wet modal analysis model. The fourth processing module is used to determine the resonance risk factor based on the spectral peak frequency and the multiple candidate wet mode resonance frequencies; The fifth processing module is used to determine whether there is a resonance risk based on the resonance hazard coefficient; The sixth processing module is used to generate a resonance adjustment scheme if there is a risk of resonance. If there is no risk of resonance, the process ends.

10. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the resonant processing method for the floating photovoltaic array as described in claims 1-8.

11. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the resonant processing method for the floating photovoltaic array as described in claims 1-8.

Images