A method and system for calculating conversion efficiency of a wave energy power generation device

Abstract

The present application discloses a method and system for calculating the conversion efficiency of a wave energy power generation device, and relates to the field of field testing and analysis of wave energy power generation devices. The method comprises: obtaining a matching data set of a test sea area within a set period; the matching data set includes a plurality of wave observation data and the average electric power of the wave energy power generation device within the time interval of each wave observation data; using a data quality control algorithm to perform quality control on the wave observation data in the matching data set; obtaining the angle of the wave-facing direction of the wave energy power generation device within the set period, and constructing a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set period and the matching data set after quality control; and calculating the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data according to the target data set. The present application improves the accuracy of the calculation results of the conversion efficiency of the wave energy power generation device during the entire test period.

Description

Technical Field

[0001] The present application relates to the field of field testing and analysis of wave energy power generation devices, and in particular to a method and system for calculating the conversion efficiency of a wave energy power generation device. Background Art

[0002] Wave energy is a green, pollution-free renewable energy. The development and utilization of wave energy resources is not only conducive to reducing the consumption of fossil energy such as coal, oil and natural gas by human society, but also conducive to the formation and development of emerging wave energy industries, and promoting the green development of human society and the transformation and upgrading of energy structure.

[0003] Using wave energy to generate electricity is one of the main ways to develop and utilize wave energy resources. Therefore, countries around the world are conducting research and development and demonstration applications of wave energy power generation devices. In the research and development and demonstration application of wave energy power generation devices, the calculation and analysis of the conversion efficiency of wave energy power generation devices can provide a basis for the research and development units of wave energy power generation devices to optimize and improve the power generation performance of wave energy power generation devices, thereby promoting the efficient development and utilization of wave energy resources. Therefore, it is necessary to accurately calculate the conversion efficiency of wave energy power generation devices. Summary of the invention

[0004] The purpose of the present application is to provide a method and system for calculating the conversion efficiency of a wave energy power generation device, which can improve the accuracy of the calculation results of the conversion efficiency of the wave energy power generation device during the entire test period.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for calculating the conversion efficiency of a wave energy power generation device, comprising:

[0007] Acquire a matching data set of the test sea area within a set period of time; the matching data set includes a plurality of wave observation data and an average electric power of the wave energy power generation device within a time interval of each wave observation data;

[0008] Using a data quality control algorithm, quality control is performed on the wave observation data in the matching data set to obtain a quality-controlled matching data set; the quality-controlled matching data set includes a plurality of quality-controlled wave observation data and an average electric power of the wave energy power generation device within a time interval of each wave observation data;

[0009] Acquire the angle of the wave-facing direction of the wave energy power generation device within a set time period, and construct a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set time period and the matching data set after quality control; the target data set includes a plurality of wave observation data after quality control, and the average electric power and average angle of the wave energy power generation device within a time interval of each wave observation data;

[0010] The conversion efficiency of the wave energy power generation device within a time interval of each wave observation data is calculated according to the target data set.

[0011] In a second aspect, the present application provides a system for calculating conversion efficiency of a wave energy power generation device, comprising:

[0012] A data set acquisition module is used to acquire a matching data set of a test sea area within a set period of time; the matching data set includes a plurality of wave observation data and an average electric power of a wave energy power generation device within a time interval of each wave observation data;

[0013] A quality control module, used to use a data quality control algorithm to perform quality control on the wave observation data in the matching data set to obtain a matching data set after quality control; the matching data set after quality control includes a plurality of wave observation data after quality control and an average electric power of the wave energy power generation device within a time interval of each wave observation data;

[0014] A data set construction module is used to obtain the angle of the wave-facing direction of the wave energy power generation device within a set time period, and to construct a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set time period and the matching data set after quality control; the target data set includes a plurality of wave observation data after quality control, and the average electric power and average angle of the wave energy power generation device within the time interval of each wave observation data;

[0015] The efficiency calculation module is used to calculate the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data according to the target data set.

[0016] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0017] The present application provides a method and system for calculating the conversion efficiency of a wave energy power generation device. By adopting a data quality control algorithm to perform quality control on a matching data set of a test sea area within a set time period, the volatility of wave observation data is effectively filtered out, thereby improving the reliability of the wave observation data. A target data set is further constructed in combination with the angle of the wave-facing direction of the wave energy power generation device. The conversion efficiency of the wave energy power generation device within the time interval of each wave observation data is calculated based on the target data set, thereby improving the accuracy of the calculation result of the conversion efficiency of the wave energy power generation device during the entire test period. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 This is a diagram of an application environment of a method for calculating conversion efficiency of a wave energy power generation device in one embodiment of the present application.

[0020] Figure 2 A schematic flow chart of a method for calculating conversion efficiency of a wave energy power generation device provided in one embodiment of the present application.

[0021] Figure 3 This is a quality control diagram of the wave significant height of all wave observation data.

[0022] Figure 4 This is a quality control effect diagram of the wave significant wave height of some wave observation data.

[0023] Figure 5 This is a quality control effect diagram of the wave energy cycle of some wave observation data.

[0024] Figure 6 This is a quality control diagram of the wave direction of some wave observation data.

[0025] Figure 7 Grid analysis diagram of the average conversion efficiency of wave energy power generation device.

[0026] Figure 8 This is a graph showing the relationship between the average value of the conversion efficiency of the wave energy power generation device in the analysis grid and the wave energy period in each interval divided on the x-axis.

[0027] Fig. 9 This is a graph showing the relationship between the average value of the conversion efficiency of the wave energy power generation device in the grid and the effective wave height in each interval divided on the y-axis.

[0028] Fig.10 A schematic diagram of functional modules of a conversion efficiency calculation system for a wave energy power generation device provided in one embodiment of the present application.

[0029] Fig.11 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] The calculation method of the conversion efficiency of wave energy power generation device is mainly divided into the following steps: first, the wave spectrum method is used to calculate the energy period of the wave, and then the wave energy flow in the sea area where the wave energy power generation device is located is calculated through the wave energy period and other data, and finally the conversion efficiency of the wave energy power generation device is calculated through the wave energy flow and other data. The conversion efficiency of the wave energy power generation device is further analyzed in the form of a conversion efficiency scatter plot.

[0032] At present, the spectral analysis method is generally used to calculate the wave energy period, which leads to low calculation efficiency of wave energy period data. Secondly, in the calculation of the conversion efficiency of wave energy power generation devices, the current scheme not only does not study the quality control algorithm of wave observation data, but also does not consider the influence of wave direction on the calculation results of the conversion efficiency of wave energy power generation devices, which leads to low accuracy of the calculation results of the conversion efficiency of wave energy power generation devices. Finally, in the analysis of the conversion efficiency of wave energy power generation devices, the current scheme only uses the form of scatter plots to analyze the conversion efficiency of wave energy power generation devices, and cannot efficiently analyze the ability of wave energy power generation devices to convert wave energy into electrical energy in different wave energy period intervals and wave effective wave height intervals.

[0033] Based on the above problems, the present application provides a method and system for calculating the conversion efficiency of a wave energy power generation device, which not only improves the accuracy of the calculation results of the conversion efficiency of the wave energy power generation device, but also can efficiently analyze the ability of the wave energy power generation device to convert wave energy into electrical energy, thereby promoting the improvement of wave energy power generation technology and the efficient utilization of wave energy resources.

[0034] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0035] The method for calculating the conversion efficiency of a wave energy power generation device provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, or it can be integrated on the server 104, or it can be placed on the cloud or other servers. The terminal 102 can send a matching data set of the test sea area within a set time period to the server 104. After the server 104 receives the matching data set of the test sea area within the set time period, it calculates the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data. The server 104 can feedback the obtained conversion efficiency to the terminal 102. In addition, in some embodiments, the conversion efficiency calculation method of the wave energy power generation device can also be implemented separately by the server 104 or the terminal 102.

[0036] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0037] In an exemplary embodiment, Figure 2 As shown, a method for calculating the conversion efficiency of a wave energy power generation device is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 204.

[0038] Step 201, obtaining a matching data set of the test sea area within a set period of time, specifically establishing a matching data set between the wave observation data of the test sea area and the average electric power output by the wave energy power generation device.

[0039] The matching data set includes a plurality of wave observation data and the time interval of each wave observation data Average electrical power of internal wave energy generators The wave observation data includes the wave significant wave height , wave direction and wave energy cycle The wave observation data also includes the observation time . i Indicates the sequence number of the wave observation data, its value is , is the total number of wave observations in the matching dataset.

[0040] In a specific example, step 201 includes the following steps 301 to 304 .

[0041] Step 301, read multiple original wave observation data of the test sea area within a set period of time. Each original wave observation data includes the wave significant wave height, wave direction, wave average period and the arithmetic square root of the ratio of the -1st moment to the 1st moment of the wave frequency spectrum.

[0042] Specifically, directly read the observation time obtained by the wave observation equipment in the test sea area , Wave effective height , wave direction , average wave period , the arithmetic square root of the ratio of the -1st moment to the 1st moment of the wave frequency spectrum .

[0043] Step 302, respectively, according to the average wave period in each original wave observation data and the arithmetic square root of the ratio of the -1st moment to the 1st moment of the wave frequency spectrum , calculate the wave energy period , to obtain multiple wave observation data.

[0044] Specifically, the formula Calculating wave energy cycles .

[0045] Step 303, reading the output power of the wave energy power generation device within a set period of time.

[0046] Step 304, according to the output power of the wave energy power generation device in the set time period, calculate the average power of the wave energy power generation device in the time interval of each wave observation data.

[0047] The average power of the wave energy generator refers to the time interval of the wave observation data. Average electrical power in , k is the serial number of the average electric power, and its value is , K is the total amount of average electrical power.

[0048] Specifically, directly read the measurement time obtained by the electric power measurement device of the wave energy power generation device , the power output of the wave energy generator . j It is the serial number of the electric power measurement device to obtain data, and its value is ,J is the total amount of electrical power.

[0049] In the test of the conversion efficiency of wave energy power generation device, the data acquisition frequency of the wave energy power generation device electric power measurement equipment is higher than the data acquisition frequency of the wave observation equipment. Therefore, in the time interval of the wave observation data The electrical power measuring device will obtain n Electric power output data of wave power generation devices It is easy to know that when the time of wave observation data is synchronized with the time of measurement data of electric power output of wave energy power generation device, that is, hour, The corresponding time of the wave energy power generation device outputting the electric power measurement data is .in, It is the serial number of the electric power data output by the first wave energy power generation device synchronized with the wave observation time.

[0050] Then calculate the time interval between wave observation data Inside, that is The average power output of the wave energy generator in the time interval , and its calculation formula is .

[0051] Indicates that in calculation to The average power output of the wave energy generator in the time interval is The electric power data corresponding to the time is involved in the calculation, and The electric power data corresponding to the time is not included in the calculation.

[0052] Step 202: Using a data quality control algorithm, quality control is performed on the wave observation data in the matching data set to obtain a matching data set after quality control.

[0053] Since the wave observation data obtained by the wave observation equipment has certain volatility, in order to ensure the accuracy of the calculation results of the conversion efficiency of the wave energy power generation device, it is necessary to filter out the fluctuation of the wave observation data, that is, to perform data quality control on the wave observation data.

[0054] Specifically, first, for each set of mutually matching data in the matching data set, data serial numbers are assigned according to the time sequence of the data to form a matching data set after the data serial numbers are assigned. A new blank column is inserted in the first column of the matching data set, and the column is assigned values ​​from 1 to I A positive integer is used as the serial number of the matched data. After that, the matching data set after the data serial number is assigned is used to perform data quality control on the wave observation data in the matching data set using a data quality control algorithm.

[0055] In a specific example, the following formula is used to perform quality control on the wave observation data in the matching data set.

[0056] .

[0057] in, is the wave observation data, i.e. the wave observation data in the matching data set before quality control, which includes the wave significant wave height , wave direction and wave energy cycle data , It is the wave observation data after quality control, including the wave significant height after quality control , wave direction data after quality control and wave energy cycle after quality control .

[0058] Using quality-controlled wave observation data Replace the wave observation data in the pre-quality control matching dataset at the corresponding position , forming a quality-controlled matching data set. The quality-controlled matching data set includes: the sequence number of the wave observation data i , multiple wave observation data after quality control (wave significant wave height after quality control , wave direction data after quality control , wave energy cycle after quality control ) and the time interval of each wave observation data Average electrical power of internal wave energy generators .

[0059] Step 203, obtaining the angle of the wave-facing direction of the wave energy power generation device within a set period, and constructing a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set period and the quality-controlled matching data set.

[0060] Specifically, the angle of the wave-facing direction designed for the wave energy power generation device is read, and at the same time, the matching data set after quality control formed in step 202 is used to construct a data set required for calculating the conversion efficiency of the wave energy power generation device, that is, a target data set.

[0061] First, read the angle data of the angle sensor installed on the wave energy power generation device. The angle data includes the time of the angle data and the angle data . ω is the serial number of the angle data read, and its value is , is the total number of angle data. The angle sensor acquires m Similarly, when the time of wave observation data is synchronized with the time of angle sensor measurement data, that is, hour, The corresponding angle sensor measurement data time is .in, The serial number of the angle data of the wave heading direction designed for the first wave energy power generation device synchronized with the wave observation time.

[0062] Then calculate the time interval between the wave observation data Inside, that is The average angle of the wave direction of the wave energy generator in the time interval . is the serial number of the average angle, and its value is , is the total number of average angles.

[0063] Average Angle The calculation formula is: .

[0064] Indicates that in calculation to The average angle of the wave direction of the wave energy power generation device designed within the time interval is The angle corresponding to the moment is involved in the calculation, and The angle corresponding to the moment does not participate in the calculation.

[0065] The average angle The target data set is constructed by matching the matching data set after quality control according to the principle of synchronization of the calculated time interval. The target data set includes: the sequence number of the wave observation data i , multiple wave observation data after quality control (wave significant wave height after quality control , wave direction data after quality control , wave energy cycle after quality control ), the time interval of each wave observation data Average electrical power of internal wave energy generators , the time interval of each wave observation data The average angle of the wave direction designed for the internal wave energy power generation device .

[0066] Specifically, a new blank column is inserted to the right of the last column of the matching data set after quality control. Insert the corresponding position of the newly added blank column to construct the data set required to calculate the conversion efficiency of the wave energy power generation device.

[0067] Step 204: Calculate the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data according to the target data set.

[0068] In a specific example, step 204 includes the following steps 401 to 403 .

[0069] Step 401, for any wave observation data, the wave direction of the wave observation data after quality control is determined. and the time interval of the wave observation data Average angle of inner wave energy generator , calculating the capture coefficient of the wave energy resource by the wave energy power generation device within the time interval of the wave observation data.

[0070] Specifically, the wave direction of the wave observation data after quality control is first calculated. The time interval with the wave observation data Average angle of inner wave energy generator The square root of the difference between : .

[0071] Then, according to the arithmetic square root, the capture coefficient of the wave energy resource of the wave energy power generation device within the time interval of the wave observation data is calculated using the following formula: .

[0072] .

[0073] Step 402: according to the capture coefficient , the significant wave height of the wave observation data after quality control and wave energy cycle , calculate the time interval of the wave observation data Wave energy captured by the internal wave energy power generation device .

[0074] Specifically, the time interval of wave observation data is calculated using the following formula: Wave energy captured by the internal wave energy power generation device .

[0075] .

[0076] in, The effective length of the wave energy capture component designed for the wave energy power generation device. This value is provided by the research and development unit of the wave energy power generation device and can also be measured on site.

[0077] Step 403: according to the wave energy and the time interval of the wave observation data Average electrical power of internal wave energy generators , calculate the time interval of the wave observation data Conversion efficiency of internal wave energy generator .

[0078] Specifically, the time interval of wave observation data is calculated using the following formula: Conversion efficiency of internal wave energy generator .

[0079] .

[0080] In another exemplary embodiment, the time interval between the target data set and the wave observation data is further Conversion efficiency of internal wave energy generator According to the principle of synchronization of the calculated time intervals, the data set required for analyzing the conversion efficiency of the wave energy power generation device is matched and constructed, namely the analysis data set. The analysis data set includes: the serial number of the wave observation data i , multiple wave observation data after quality control (wave significant wave height after quality control , wave direction data after quality control , wave energy cycle after quality control ), the time interval of each wave observation data Average electrical power of internal wave energy generators , the time interval of each wave observation data The average angle of the wave direction designed for the internal wave energy power generation device , the time interval of each wave observation data Conversion efficiency of internal wave energy generator .

[0081] Specifically, a new blank column is inserted on the right side of the last column of the target data set. According to the principle of synchronization of the calculated time intervals, the calculated conversion efficiency of the wave energy power generation device is inserted into the corresponding position of the newly added blank column, thereby constructing the data set required for analyzing the conversion efficiency of the wave energy power generation device.

[0082] The method for calculating the conversion efficiency of the wave energy power generation device further includes the following steps 205 to 207 .

[0083] Step 205: calculate the effective wave height of each wave observation data after quality control. and wave energy cycle , dividing the analysis grid of the conversion efficiency of the wave energy power generation device. The analysis grid includes multiple intervals.

[0084] In a specific example, the wave energy cycle of each wave observation data after quality control is Set as variable X , the effective wave height of each wave observation data after quality control Set as variable Y , the time interval of wave observation data Conversion efficiency of internal wave energy generator Set as variable Z .

[0085] Use Origin software or MATLAB and other data processing software to find variables X The minimum value in and maximum value , set the variable X The increment is , then in the x-axis direction of the plane rectangular coordinate system, the variables X Divide into U interval, and U The calculation formula is: .

[0086] Use Origin software or MATLAB and other data processing software to find variables Y The minimum value in and maximum value , set the variable Y The increment is , then in the y-axis direction of the plane rectangular coordinate system, the variables Y Divide into V interval, and V The calculation formula is: .

[0087] Among them, the symbol Indicates rounding up.

[0088] The x-axis direction of the plane rectangular coordinate system U interval and the y-axis direction of the plane rectangular coordinate system V The closed area formed by the intervals in the plane rectangular coordinate system is the grid for wave energy power generation device conversion efficiency data analysis.

[0089] Step 206, calculate the average value of the conversion efficiency of the wave energy power generation device in each interval, and draw a grid analysis diagram of the average conversion efficiency data of the wave energy power generation device.

[0090] In a specific example, XY Based on the data, the Origin software is used to calculate the conversion efficiency of the wave energy power generation device located in the analysis grid. The average ,Right now Z The average value of the data. Indicates the first u The interval is related to the y direction of the plane rectangular coordinate system v The average conversion efficiency of the wave energy power generation device in the closed area formed by the intervals, u is the number of intervals in the x-axis direction, and its value is , v is the number of intervals in the y direction, and its value is .

[0091] Then the average value of the conversion efficiency of the wave energy power generation device in the analysis grid can be expressed as: .

[0092] Furthermore, using Origin software, the average conversion efficiency of wave energy generation devices in the analysis grid was analyzed. Visualization. That is, using Origin software, draw a grid analysis diagram of the average conversion efficiency data of the wave energy power generation device.

[0093] The grid analysis diagram of the average conversion efficiency of the wave energy power generation device can not only quantify the average efficiency of the wave energy power generation device in converting wave energy into electrical energy under different sea conditions, but also make the analysis results of the conversion efficiency of the wave energy power generation device more statistically significant.

[0094] Step 207, respectively calculate the mean value of the conversion efficiency of the wave energy power generation device in each column interval and the mean value of the conversion efficiency of the wave energy power generation device in each row interval, and draw a curve of the mean value changing with the center point of the interval to characterize the ability of the wave energy power generation device to convert wave energy into electrical energy in different wave effective wave heights and different wave energy period intervals.

[0095] In a specific example, the average conversion efficiency of the wave energy power generation device in the grid is calculated and analyzed. The mean value in each interval divided on the x-axis : ,draw Relationship diagram with wave energy cycle: .

[0096] Using Origin software, draw With interval u The curve of the change of the center point. That is, the relationship between the average value of the conversion efficiency data of the wave energy power generation device in the grid and the wave energy cycle in each interval divided on the x-axis is analyzed.

[0097] Calculate and analyze the average conversion efficiency of wave energy generation devices within the grid The mean value in each interval divided on the y-axis : ,draw The relationship between the wave and the effective wave height: .

[0098] Using Origin software, draw With interval v The curve of the change of the center point. That is, the relationship between the average value of the conversion efficiency of the wave energy power generation device in the grid and the effective wave height in each interval divided on the y-axis is analyzed.

[0099] Drawn With interval u The curve of the center point change can intuitively represent the ability of the wave energy power generation device to convert wave energy into electrical energy in different wave energy cycle intervals. With interval v The curve showing the change in the center point can intuitively characterize the ability of the wave energy power generation device to convert wave energy into electrical energy within different wave effective wave height ranges.

[0100] The present application can quickly and efficiently establish a matching data set between the wave observation data of the test sea area and the average electric power output by the wave energy power generation device. Secondly, the wave observation data quality control algorithm is applied to effectively filter out the volatility of the wave observation data, thereby realizing the quality control of the established matching data set. Thirdly, the angle data of the wave-facing direction designed by the wave energy power generation device is combined with the data set after quality control, thereby constructing a data set required for calculating the conversion efficiency of the wave energy power generation device. Then, through the wave energy power generation device to capture the wave energy resource calculation method, the accuracy of the wave energy power generation device conversion efficiency calculation results is improved, thereby constructing a data set required for analyzing the wave energy power generation device conversion efficiency. Finally, through the wave energy power generation device conversion efficiency analysis method, the conversion efficiency data of the wave energy power generation device is analyzed. Not only the accuracy of the wave energy power generation device conversion efficiency calculation results is improved, but also the ability of the wave energy power generation device to convert wave energy into electrical energy can be efficiently analyzed, which is convenient for the research and development unit to optimize and improve the power generation performance of the wave energy power generation device, thereby promoting the improvement of wave energy power generation technology and the efficient use of wave energy resources.

[0101] The conversion efficiency of the wave energy generator during the field test calculated by this application during the entire test period The average value is 14.04%. Currently, there are schemes to calculate the conversion efficiency of all wave energy power generation devices during field tests. The average value is 12.75 / %, and the accuracy of the average conversion efficiency calculation results is improved by 10.12% when using this application.

[0102] In summary, the advantages of this application include at least the following points.

[0103] 1. Proposed the wave energy cycle The rapid calculation method improves the wave energy cycle data Calculation efficiency: In step 201, the wave energy cycle data can be directly calculated using the read data , avoiding the use of cumbersome and complex wave spectrum methods to calculate wave energy cycle data, thereby improving the wave energy cycle data The computational efficiency.

[0104] 2. A wave observation data quality control algorithm for the field test of wave energy power generation equipment is proposed, which effectively filters out the volatility of wave observation data, thereby improving the reliability of wave observation data: In step 202, the effective wave height of the wave in the matching data set after the data sequence number is assigned is , wave direction , wave energy cycle Quality control is performed to improve the reliability of the data after quality control. Figures 3 to 6 It can be clearly shown that the wave observation data quality control algorithm proposed in this application can effectively filter out the volatility of wave observation data, thereby improving the reliability of wave observation data. Due to the excessive amount of data, the control effect of data quality cannot be well demonstrated. Therefore, Figures 4 to 6 Only the first 120 sets of data were selected for plotting.

[0105] 3. A method for calculating the capture coefficient of wave energy resources by a wave energy power generation device is proposed, which improves the accuracy of the calculation result of the wave energy captured by the wave energy power generation device: In step 204, the capture coefficient The introduction of the calculation formula of the wave energy captured by the wave energy power generation device improves the accuracy of the calculation results of the wave energy captured by the wave energy power generation device, thereby providing reliable and accurate data for the subsequent calculation of the conversion efficiency of the wave energy power generation device.

[0106] 4. A method for calculating the conversion efficiency of wave energy power generation devices is systematically proposed, which improves the accuracy of the calculation results of the average conversion efficiency of the wave energy power generation device during the entire test period.

[0107] 5. A method for analyzing the conversion efficiency data of wave energy power generation devices is proposed, which provides a reference for optimizing and improving the power generation performance of wave energy power generation devices: in steps 205 to 207, a grid analysis diagram of the average conversion efficiency of wave energy power generation devices is drawn, a relationship diagram between the average value of the conversion efficiency of wave energy power generation devices in the grid and the mean value of each interval divided on the x-axis and the wave energy period is analyzed, and a relationship diagram between the average value of the conversion efficiency of wave energy power generation devices in the grid and the mean value of each interval divided on the y-axis and the wave effective wave height is analyzed (i.e. Figures 7 to 9 ), which can efficiently analyze the ability of wave power generation devices to convert wave energy into electrical energy within different wave energy cycle intervals and wave effective wave height intervals. On this basis, by analyzing the ability of wave power generation devices to convert wave energy into electrical energy, it can provide a reference for wave power generation device research and development units to optimize and improve the power generation performance of wave power generation devices.

[0108] Based on the same inventive concept, the embodiment of the present application also provides a wave energy power generation device conversion efficiency calculation system for implementing the above-mentioned wave energy power generation device conversion efficiency calculation method. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of the conversion efficiency calculation system of one or more wave energy power generation devices provided below can refer to the above-mentioned limitations on the conversion efficiency calculation method of the wave energy power generation device, and will not be repeated here.

[0109] In an exemplary embodiment, Fig.10 As shown, a conversion efficiency calculation system for a wave energy power generation device is provided, comprising: a data set acquisition module 501 , a quality control module 502 , a data set construction module 503 and an efficiency calculation module 504 .

[0110] The data set acquisition module 501 is used to acquire a matching data set of the test sea area within a set period of time, wherein the matching data set includes a plurality of wave observation data and the average electric power of the wave energy power generation device within the time interval of each wave observation data.

[0111] The quality control module 502 is used to use a data quality control algorithm to perform quality control on the wave observation data in the matching data set to obtain a quality-controlled matching data set. The quality-controlled matching data set includes a plurality of quality-controlled wave observation data and an average electric power of the wave energy power generation device within a time interval of each wave observation data.

[0112] The data set construction module 503 is used to obtain the angle of the wave-facing direction of the wave energy power generation device within a set period of time, and to construct a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set period of time and the matching data set after quality control. The target data set includes a plurality of wave observation data after quality control, and the average electric power and average angle of the wave energy power generation device within the time interval of each wave observation data.

[0113] The efficiency calculation module 504 is used to calculate the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data according to the target data set.

[0114] Furthermore, the conversion efficiency calculation system of the wave energy power generation device further includes: a grid division module 505 , an interval average value calculation module 506 and a curve drawing module 507 .

[0115] The grid division module 505 is used to divide the analysis grid of the conversion efficiency of the wave energy power generation device according to the wave effective wave height and wave energy period of each wave observation data after quality control; the analysis grid includes multiple intervals;

[0116] The interval average value calculation module 506 is used to calculate the average value of the conversion efficiency of the wave energy power generation device in each interval;

[0117] The curve drawing module 507 is used to calculate the mean value of the conversion efficiency of the wave energy power generation device in each column interval and the mean value of the conversion efficiency of the wave energy power generation device in each row interval, and draw a curve showing the change of the mean value with the center point of the interval, so as to characterize the ability of the wave energy power generation device to convert wave energy into electrical energy in different wave effective wave heights and different wave energy cycle intervals.

[0118] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Fig.11As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store matching data sets of the test sea area. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for calculating the conversion efficiency of a wave energy power generation device is implemented.

[0119] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0120] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0121] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0122] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0123] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0124] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0125] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0126] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for calculating the conversion efficiency of a wave energy power generation device, characterized in that: The method for calculating the conversion efficiency of the wave energy power generation device comprises: Acquire a matching data set of the test sea area within a set period of time; the matching data set includes a plurality of wave observation data and an average electric power of the wave energy power generation device within a time interval of each wave observation data; A data quality control algorithm is used to perform quality control on the wave observation data in the matching data set to obtain a quality-controlled matching data set; the quality-controlled matching data set includes a plurality of quality-controlled wave observation data and an average electric power of the wave energy power generation device within a time interval of each wave observation data; the following formula is used to perform quality control on the wave observation data in the matching data set: ； in, is the wave observation data, is the wave observation data after quality control, is the total number of wave observation data in the matching data set, i Indicates the serial number of wave observation data; Acquire the angle of the wave-facing direction of the wave energy power generation device within a set time period, and construct a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set time period and the matching data set after quality control; the target data set includes a plurality of wave observation data after quality control, and the average electric power and average angle of the wave energy power generation device within a time interval of each wave observation data; The conversion efficiency of the wave energy power generation device within a time interval of each wave observation data is calculated according to the target data set.

2. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 1, characterized in that: The wave observation data includes wave significant wave height, wave direction and wave energy period; Obtain the matching data set of the test sea area within the set period, including: Read multiple original wave observation data of the test sea area within a set period of time; each original wave observation data includes the wave effective wave height, wave direction, wave average period and the arithmetic square root of the ratio of the -1st moment to the 1st moment of the wave frequency spectrum; The wave energy period is calculated according to the average wave period in each original wave observation data and the arithmetic square root of the ratio of the -1st order moment to the 1st order moment of the wave frequency spectrum, so as to obtain a plurality of wave observation data; Read the output power of the wave energy power generation device within a set period of time; According to the output electric power of the wave energy power generation device in the set time period, the average electric power of the wave energy power generation device in the time interval of each wave observation data is calculated.

3. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 2, characterized in that: The wave energy period is calculated using the following formula: ； in, is the wave energy cycle, is the average wave period, is the arithmetic square root of the ratio of the -1st moment to the 1st moment of the wave frequency spectrum, i Indicates the serial number of wave observation data.

4. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 1, characterized in that: The wave observation data includes wave significant wave height, wave direction and wave energy period; Calculating the conversion efficiency of the wave energy power generation device within a time interval of each wave observation data according to the target data set, specifically comprising: For any wave observation data, according to the wave direction of the wave observation data after quality control and the average angle of the wave energy power generation device within the time interval of the wave observation data, calculate the capture coefficient of the wave energy resource of the wave energy power generation device within the time interval of the wave observation data; Calculate the wave energy captured by the wave energy power generation device within the time interval of the wave observation data according to the capture coefficient, the wave effective wave height and the wave energy period of the wave observation data after quality control; The conversion efficiency of the wave energy power generation device within the time interval of the wave observation data is calculated based on the wave energy and the average electric power of the wave energy power generation device within the time interval of the wave observation data.

5. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 4, characterized in that: Calculating the capture coefficient of the wave energy resource by the wave energy power generation device within the time interval of the wave observation data according to the wave direction of the wave observation data after quality control and the average angle of the wave energy power generation device within the time interval of the wave observation data, specifically including: Calculating the arithmetic square root of the difference between the wave direction of the wave observation data after quality control and the average angle of the wave energy power generation device within the time interval of the wave observation data; According to the arithmetic square root, the capture coefficient of the wave energy resource of the wave energy power generation device within the time interval of the wave observation data is calculated using the following formula: ； in, is the capture coefficient of wave energy resources by the wave energy power generation device within the time interval of wave observation data, is the square root of the difference between the average angles of the wave energy generator within the time interval of the wave observation data, i Indicates the serial number of wave observation data.

6. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 4, characterized in that: The wave energy captured by the wave energy generator during the time interval of the wave observation data is calculated using the following formula: ； in, is the wave energy captured by the wave energy generator during the time interval of the wave observation data, is the capture coefficient of wave energy resources by the wave energy power generation device within the time interval of wave observation data, is the significant wave height of the wave observation data after quality control, is the wave energy period of the wave observation data after quality control, The effective length of the wave energy capture component designed for the wave energy power generation device, i Indicates the serial number of wave observation data.

7. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 4, characterized in that: The conversion efficiency of the wave energy power generation device within the time interval of the wave observation data is calculated using the following formula: ； in, is the conversion efficiency of the wave energy power generation device within the time interval of the wave observation data, is the wave energy captured by the wave energy generator during the time interval of the wave observation data, is the average electric power of the wave energy generator during the time interval of the wave observation data, i Indicates the serial number of wave observation data.

8. The method for calculating the conversion efficiency of a wave energy power generation device according to claim 1, characterized in that: The wave observation data includes wave significant wave height, wave direction and wave energy period; The method for calculating the conversion efficiency of the wave energy power generation device also includes: According to the wave effective wave height and wave energy period of each wave observation data after quality control, the analysis grid of the conversion efficiency of the wave energy power generation device is divided; the analysis grid includes a plurality of intervals; Calculate the average value of the conversion efficiency of the wave energy power generation device in each interval; The mean value of the conversion efficiency of the wave energy power generation device in each column interval and the mean value of the conversion efficiency of the wave energy power generation device in each row interval are calculated respectively, and a curve showing the change of the mean value with the center point of the interval is plotted to characterize the ability of the wave energy power generation device to convert wave energy into electrical energy in different wave effective wave heights and different wave energy period intervals.

9. A system for calculating the conversion efficiency of a wave energy power generation device, applied to the method for calculating the conversion efficiency of a wave energy power generation device according to any one of claims 1 to 8, characterized in that: The conversion efficiency calculation system of the wave energy power generation device comprises: A data set acquisition module is used to acquire a matching data set of a test sea area within a set period of time; the matching data set includes a plurality of wave observation data and an average electric power of a wave energy power generation device within a time interval of each wave observation data; A quality control module, used to use a data quality control algorithm to perform quality control on the wave observation data in the matching data set to obtain a matching data set after quality control; the matching data set after quality control includes a plurality of wave observation data after quality control and an average electric power of the wave energy power generation device within a time interval of each wave observation data; A data set construction module is used to obtain the angle of the wave-facing direction of the wave energy power generation device within a set time period, and to construct a target data set according to the angle of the wave-facing direction of the wave energy power generation device within the set time period and the matching data set after quality control; the target data set includes a plurality of wave observation data after quality control, and the average electric power and average angle of the wave energy power generation device within the time interval of each wave observation data; The efficiency calculation module is used to calculate the conversion efficiency of the wave energy power generation device within the time interval of each wave observation data according to the target data set.

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