Comprehensive development suitability evaluation method and equipment for wave light wind resources around island, and medium

Abstract

The invention discloses an island surrounding wave light wind resource comprehensive development suitability evaluation method and device and a medium, and relates to the field of resource development and evaluation, and the method comprises the steps: taking a suitability evaluation criterion as a criterion layer, taking an influence index as an index layer, and constructing a comprehensive development evaluation index system of a hierarchical structure; performing normalization processing on indexes in the index layer; adopting an analytic hierarchy process and a CRITIC method to determine the weight of the criterion layer based on the indexes in the index layer, and obtaining the weight; combining the two weights to obtain a combined weight of the criterion layer; and determining the suitability value of each spatial point in the peripheral area of the island based on the combination weight and the normalization result, and taking the spatial points with the suitability values higher than a set threshold value as a comprehensive development area suitable for collaborative complementation of waves, wind and photovoltaic resources. According to the method, various ocean renewable energy sources can be scientifically evaluated and reasonably optimized, and the scientificity and the accuracy of comprehensive development suitability evaluation of wave light and wind resources around an island are improved.

Description

Technical Field

[0001] This application relates to the field of resource development and assessment, and in particular to a method, equipment and medium for assessing the suitability of comprehensive development of wave, solar and wind resources around islands. Background Technology

[0002] Because some remote islands are far from the mainland, they face problems such as inconvenient transportation, small population, relatively incomplete infrastructure, low total electricity consumption, long-distance laying of submarine power transmission cables, and high subsequent maintenance costs.

[0003] Waves, solar radiation, and wind resources possess distinct power generation characteristics. Wind is intermittent, waves are random, and solar radiation is dominated by diurnal fluctuations and periodic variations. Therefore, relying on only a single energy source on islands results in a degree of instability in power generation characteristics. Consequently, how to achieve comprehensive development of wave, solar radiation, and wind resources around islands, and how to conduct a scientific and accurate assessment of development suitability, have become key factors restricting the effective utilization of renewable energy on islands. Summary of the Invention

[0004] To address the aforementioned issues, this application provides a method, equipment, and medium for assessing the suitability of comprehensive development of wave, light, and wind resources around islands.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for assessing the suitability of integrated development of wave, wind, and solar resources around an island, comprising: obtaining suitability assessment criteria for the area surrounding the island; the area surrounding the island refers to the area within a defined range centered on the island; constructing a hierarchical integrated development assessment index system using the suitability assessment criteria as the criterion layer and the indicators affecting the suitability assessment criteria as the indicator layer; normalizing the indicators in the indicator layer to obtain normalization results; using the analytic hierarchy process (AHP) to determine the weights of the criterion layer based on the indicators in the indicator layer to obtain a first weight; using the CRITIC method to determine the weights of the criterion layer based on the indicators in the indicator layer to obtain a second weight; determining the combined weights of the criterion layer based on the first weights and the second weights; determining the suitability value of each spatial point in the area surrounding the island based on the combined weights and the normalization results, and designating spatial points with suitability values ​​higher than a set threshold as suitable integrated development areas for the synergistic complementarity of wave, wind, and solar resources.

[0006] Optionally, the suitability assessment criteria include: resource endowment, synergy and complementarity, development environment, and socio-economic factors; The indicators affecting the resource endowment include: wave energy flux density, wave energy utilization rate, wave variability coefficient, wind power density, wind energy utilization rate, wind variability coefficient, annual total horizontal irradiance, irradiance utilization rate, and total radiation stability. The indicators affecting the synergy and complementarity include: wave power generation-wind or photovoltaic synergy, wave shutdown-wind or photovoltaic supplementation, wind power generation-wave or photovoltaic synergy, wind shutdown-wave or photovoltaic supplementation, photovoltaic power generation-wave or wind synergy, and photovoltaic shutdown-wave or wind supplementation. The indicators affecting the development environment include: the closest distance between the development space point and the island, water depth, maximum current velocity, wind speed that occurs once every many years, wave height that occurs once every many years, the total number of typhoons that pass through, and the maximum level of typhoons that pass through. The indicators affecting the socio-economic situation include: island area and the population living on the island.

[0007] Optionally, the indicators in the indicator layer are normalized to obtain normalization results, including: In the indicator layer, apart from the wave variation coefficient and the wind variation coefficient, other indicators affecting the resource endowment, the synergistic and complementary indicators, and the socio-economic indicators are all normalized using the first normalization function. In the indicator layer, apart from the water depth, other indicators affecting the development environment, the wave variation coefficient, and the wind variation coefficient are all normalized using a second normalization function. The water depth is normalized using a water depth normalization function.

[0008] Optionally, the first normalization function is expressed as: ; In the formula, Indicates the maximum value of the indicator. This represents the minimum value of the indicator. Indicators, This represents the normalization result.

[0009] Alternatively, the second normalization function can be expressed as: ; In the formula, Indicates the maximum value of the indicator. This represents the minimum value of the indicator. Indicators, This represents the normalization result.

[0010] Optionally, the water depth normalization function is expressed as: ; In the formula, This represents the suitable water depth range for the power generation device, and exp() is an exponential function. Indicators, This represents the normalization result.

[0011] Optionally, the combined weights are expressed as: ; In the formula, Indicates the first The first weight of each indicator Indicates the first The second weight of each indicator Indicates the first The combined weights of the indicators d This indicates the total number of indicators.

[0012] Optionally, determining the suitability value of each spatial point in the area surrounding the island based on the combined weights and the normalization result includes: The suitability value of each spatial point in the surrounding area of ​​the island is obtained by summing the combined weights and the normalized results; the suitability value is expressed as: ; In the formula, For suitability value, Indicates the first The combined weights of the indicators Indicates the first The normalized results of each indicator d This indicates the total number of indicators.

[0013] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-mentioned method for assessing the suitability of integrated development of wave, light, and wind resources around islands.

[0014] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned suitability assessment method for the comprehensive development of wave, light, and wind resources around islands.

[0015] Fourthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-mentioned suitability assessment method for the comprehensive development of wave, light, and wind resources around islands.

[0016] According to the specific embodiments provided in this application, this application has the following technical effects: This application provides a method, equipment, and medium for assessing the suitability of integrated development of wave, wind, and solar resources around islands. Based on a constructed hierarchical integrated development assessment index system, it determines the weights of each index in the integrated development scenario of wave, wind, and solar resources around islands by setting a combined weight assessment method of the Analytic Hierarchy Process (AHP) and the CRITIC method, making the weights of each index more scientific and reasonable. Based on the weights determined by the AHP and CRITIC methods, suitable integrated development areas for the synergistic complementarity of wave, wind, and solar resources are selected, facilitating the scientific evaluation and rational optimization of various marine renewable energy sources, and improving the scientificity and accuracy of the suitability assessment of integrated development of wave, wind, and solar resources around islands. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a method for assessing the suitability of comprehensive development of wave, light, and wind resources around an island, provided as an embodiment of this application; Figure 2 A schematic diagram of the integrated development area index flow provided in one embodiment of this application; Figure 3 A schematic diagram of the water depth normalization function provided in an embodiment of this application; Figure 4 This is a schematic diagram of the main AHP analysis process provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0019] 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, and 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.

[0020] The integrated development of multiple marine energy sources can achieve relatively stable total output power across the three energy groups. In terms of temporal complementarity, when a single energy source experiences a power trough, other energy sources can partially compensate, reducing fluctuations in total output power. In terms of spatial complementarity, different energy resources have varying degrees of abundance in different locations within the same sea area; integrated development of multiple energy sources can fully utilize spatial resources, improve capacity coefficients and utilization rates, and enhance the reliability and resilience of the energy supply system. Based on this, the integrated development of multiple marine energy sources can effectively alleviate energy supply problems on remote islands without grid coverage. The generated electricity can be consumed locally, reducing environmental pollution from diesel power generation. This is of great significance for synergistically promoting marine economic development and ecological protection, effectively developing and utilizing various marine renewable energy sources, and improving marine resource management capabilities.

[0021] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] In an exemplary embodiment, the suitability assessment method for comprehensive development of wave, light, and wind resources around an island provided in this application can be executed by a computer device. This can be executed either by a computer device such as a terminal or a server alone, or by both a terminal and a server. In this embodiment, the method is illustrated using a server as an example. Figure 1 As shown, the method includes: Step 100: Obtain suitability assessment criteria for the area surrounding the island; the area surrounding the island refers to the area within a defined range centered on the island. Step 101: Construct a hierarchical comprehensive development evaluation indicator system using suitability assessment criteria as the criterion layer and indicators that affect suitability assessment criteria as the indicator layer. Step 102: Normalize the indicators in the indicator layer to obtain the normalization result; Step 103: Using the Analytic Hierarchy Process (AHP), determine the weights of the criteria layer based on the indicators in the indicator layer to obtain the first weight; the first weight is... Figure 2 The weight of A in the equation; Step 104: Using the CRITIC method, determine the weights of the criterion layer based on the indicators in the indicator layer to obtain the second weight; the second weight is... Figure 2 The weight of B in the equation; Step 105: Determine the combined weights of the criterion layer based on the first weight and the second weight; Step 106: Based on the combined weights and normalization results, determine the suitability value of each spatial point in the area surrounding the island, and designate spatial points with suitability values ​​higher than a set threshold as suitable areas for integrated development with complementary wave, wind, and photovoltaic resources. Here, suitability, as referred to in this application, means meeting set requirements, which can be data set according to actual development needs.

[0023] By implementing steps 100 to 106 above, this application can scientifically evaluate and rationally optimize various marine renewable energy sources, and improve the scientificity and accuracy of the suitability assessment for the comprehensive development of wave, solar and wind resources around islands.

[0024] As an optional implementation of this application, in order to select potential development and utilization areas with good synergy and complementarity, suitable development environment, and strong power supply demand, and to scientifically evaluate and rationally optimize various marine renewable energy sources, a set of scientific, comprehensive, and complete integrated development evaluation indicators is formed. In this embodiment, the selection of indicators is based on the marine energy resource endowment conditions around the islands. Based on this, the suitability assessment criteria include: resource endowment, synergy and complementarity, development environment, and socio-economic factors. Indicators affecting resource endowment include: wave energy flow density, wave energy utilization rate, wave variability coefficient, wind power density, wind energy utilization rate, wind variability coefficient, annual total horizontal irradiance, irradiance utilization rate, and total radiation stability. Indicators affecting synergy and complementarity include: wave power generation-wind or photovoltaic synergy, wave shutdown-wind or photovoltaic supplementation, wind power generation-wave or photovoltaic synergy, wind shutdown-wave or photovoltaic supplementation, photovoltaic power generation-wave or wind synergy, and photovoltaic shutdown-wave or wind supplementation. Indicators affecting the development environment include: the closest distance between the development site and the island, water depth, maximum current velocity, multi-year return period wind speed, multi-year return period wave height, total number of typhoons, and the highest typhoon level. Indicators affecting socio-economic factors include: island area and island population. Based on this, the hierarchical comprehensive development assessment indicator system is shown in Table 1.

[0025] Table 1 Comprehensive Development Evaluation Index System

[0026] Based on the above description, there are many influencing indicators for the comprehensive development of wave, wind, and photovoltaic resources. Therefore, multiple evaluation indicators can be integrated into a comprehensive evaluation mathematical model as shown in Table 1 (i.e., the comprehensive development evaluation indicator system in step 101). The hierarchical structure of the comprehensive development evaluation indicator system is determined by comprehensively considering the main influencing indicators during site selection, construction, and operation.

[0027] Furthermore, the calculation method for the synergistic and complementary impact indicators among wave, wind, and photovoltaic energy sources in the comprehensive development evaluation index system adopts an objective index calculation approach. Among them: 1. Resource endowment.

[0028] 1.1 Wave energy flux density.

[0029] Wave energy flux density ( This represents the energy flux passing through a unit width cross section along the wave propagation direction, with units of W / m. 2 The calculation formula is as follows: (1) In the formula, This indicates the density of seawater, expressed in kg / m³. 3 ; This represents the acceleration due to gravity, with units of m / s². 2 ; Indicates the first The group velocity of each wave component, in m / s; Represents the wave energy spectral density at a frequency The energy spectrum value, in m 2 / Hz.

[0030] The wave energy flux density can also be calculated using the following formula (2). ) (2) In the formula, Indicates the significant wave height, in meters (m). This represents the average wave period, measured in seconds (s).

[0031] 1.2 Wave energy utilization rate.

[0032] In assessing the availability of wave energy resources, this application defines the minimum available wave energy flux density as 2000 W / m. 2 A value below this threshold is defined as a resource that is scarce and cannot be developed. This threshold can be adjusted according to the improvement of wave energy development technology. Based on this, wave energy utilization rate ( The formula for calculating ) is expressed as: (3) In the formula, This represents the number of effective hours in the total number of hours with a wave energy flux density greater than or equal to 2000 W / m, expressed in hours (h). This represents the total number of hours, expressed in hours (h).

[0033] 1.3 Wave variation coefficient.

[0034] Wave energy variation coefficient ( Wave energy flux density is a physical quantity that measures the dispersion of wave energy flux density. Its calculation formula is as follows: (4) In the formula, Indicates the first Wave energy flux density of a sample This represents the average value of the wave energy flux density in the sample. This indicates the number of samples within a specified time period.

[0035] 1.4 Wind power density.

[0036] Wind power density ( This represents the wind energy transmitted through a unit vertical projected cross-sectional area per unit time, expressed in W / m². 2 The calculation formula is: (5) In the formula, This indicates air density, expressed in kg / m³. 3 ; Indicates the first The wind speed of each sample is expressed in m / s.

[0037] 1.5 Wind energy utilization rate.

[0038] In this application, when assessing the availability of wind energy resources, the minimum available wind power is defined as 240 W / m. 2 A value below this is defined as a resource that is scarce and cannot be developed. This threshold can be adjusted according to the improvement of wind energy development technology. Based on this, wind energy utilization rate ( The formula for calculating ) is: (6) In the formula, This indicates that the wind power density in the total number of hours is greater than or equal to 240 W / m². 2 The effective number of hours, in hours.

[0039] 1.6 Wind variation coefficient.

[0040] Wind energy variation coefficient ( Wind power density (WHD) is a physical quantity that measures the dispersion of wind power density data. Its calculation formula is: (7) In the formula, Indicates the first Wind power density of each sample Indicates all The average value of wind power density for each sample.

[0041] Total horizontal irradiance over 1.7 years.

[0042] Total integral of horizontal irradiance over a year ( (Unit: W·h / m) 2 (1000 W·h / m2 =3.6MJ / m 2 The calculation formula is: (8) In the formula, This represents the solar irradiance per hour, measured in W / m². 2 .

[0043] 1.8 Irradiance utilization rate.

[0044] In assessing the availability of solar energy resources, this application defines the minimum available solar irradiance per hour as 174 W / m². 2 A value below this is defined as a resource that is scarce and cannot be developed. This threshold can be adjusted according to the improvement of solar energy development technology. Based on this, the solar energy utilization rate (… The formula for calculating ) is: (9) In the formula, This indicates that the total solar irradiance is greater than or equal to 174 W / m². 2 The effective number of hours, in hours.

[0045] 1.9 Total radiation stability.

[0046] Total radiation stability ( This represents the state and magnitude of changes in solar energy resources throughout the year, expressed as the ratio of the minimum to the maximum average daily total irradiance for each month of the year. (10) In the formula, , This represents the minimum and maximum values ​​of the average daily total radiation for each month of the year, expressed in J / m². 2 .

[0047] 2. Synergy and complementarity.

[0048] 2.1 Wave power generation is combined with wind or solar power (i.e.).

[0049] The probability of wind or solar power generation occurring simultaneously during wave power generation (time period) The calculation method for wave energy flux density is statistical wave energy flux density. ≥2000 W / m 2 Total wave power generation hours ( Wind power density is calculated within the total number of wave power generation hours. ≥240W / m 2 or solar irradiance ≥174 W / m 2 The proportion of combined hours to total hours is as follows: (11) (12) 2.2 Wave shutdown - supplemented by wind or solar power.

[0050] The probability of wind or solar power generation supplementing the wave generation during the period when wave power generation ceases ( The calculation method for wave energy flux density is statistical wave energy flux density. <2000 W / m 2 Total hours of wave power generation interruption ( ), and calculate the wind power density within the total number of hours when wave power generation ceases. ≥240 W / m 2 or solar irradiance ≥174 W / m 2 The proportion of combined hours to total hours is as follows: (13) (14) 2.3 Wind power generation - wave or photovoltaic synergy.

[0051] The probability of wave or solar power generation occurring simultaneously during wind power generation ( The calculation method for wind power density is statistical wind power density. ≥240 W / m 2 Total wind power generation hours ( Wave energy flux density is calculated within the total number of wind power generation hours. ≥2000 W / m 2 or solar irradiance ≥174 W / m 2 The proportion of combined hours to total hours is as follows: (15) (16) 2.4 Wind shutdown - wave or solar power replenishment.

[0052] The probability of wave or solar power generation supplementing the power generation during the time when wind power generation stops ( The calculation method for wind power density is statistical wind power density. <240 W / m 2 Total number of hours the wind stopped generating electricity ( Wave energy flux density is calculated within the total number of hours when wind power generation is interrupted. ≥2000 W / m 2 or solar irradiance ≥174 W / m 2 The proportion of combined hours to total hours is as follows: (17) (18) 2.5 Photovoltaic power generation - wave or wind synergy.

[0053] The probability of wave or wind co-generation during photovoltaic power generation (DG) The calculation method for solar irradiance is statistical solar irradiance. ≥174 W / m 2 Total hours of photovoltaic power generation ( Wave energy flux density is calculated within the total number of hours of photovoltaic power generation. ≥2000 W / m 2 or wind power density ≥240 W / m 2 The proportion of combined hours to total hours is as follows: (19) (20) 2.6 Photovoltaic shutdown - replenished by waves or wind.

[0054] The probability of wave or wind power generation supplementing the photovoltaic power generation during the period when photovoltaic power generation is interrupted ( The calculation method for solar irradiance is statistical solar irradiance. <174 W / m 2 Total number of hours when photovoltaic power generation was stopped ( Wave energy flux density is calculated within the total number of hours when photovoltaic power generation is interrupted. ≥2000 W / m 2 or wind power density ≥240 W / m 2 The proportion of combined hours to total hours is as follows: (twenty one) (twenty two) 3. Development environment.

[0055] 3.1 The shortest distance between the development space point and the island, that is, the shortest distance between the sea space point and the center point of the island.

[0056] 3.2 Water depth. Depth value of a spatial point in the sea area.

[0057] 3.3 Maximum (possible) flow rate.

[0058] 3.3.1 In sea areas dominated by tidal currents.

[0059] The formula for calculating trend type is: (twenty three) In the formula, Indicates the trend type. This indicates taking the absolute value. , , They represent (Lunar declination throughout the day) (Diurnal tides caused by the lunar-solar declination) The size of the major semi-major axis of the ellipse (the main semi-diurnal tide of the moon). Among them, the regular semi-diurnal tide is... F ≤0.5, irregular semi-diurnal tidal current is 0.5 < F ≤2.0, irregular diurnal current is 2.0 < F ≤4.0, the rule is that the daily current is F >4.0.

[0060] The maximum possible flow velocity corresponding to the half-day tidal current rule ( The calculation formula (unit: m / s) is as follows: (twenty four) The maximum possible flow velocity corresponding to the rule of daily current ( (unit: m / s), the calculation formula is as follows: (25) , , They represent (Main semi-diurnal tide) (The Moon's shallow waters 1 / 4 diurnal equinox) and The major semi-axis vector of the ellipse (the shallow water tides of the moon and sun, which occur at 1 / 4 of the day).

[0061] The values ​​of equations (24) and (25) are used for irregular half-day and irregular full-day power flows.

[0062] 3.3.2 Other sea areas.

[0063] The maximum value of the vector sum of the combined velocity of ocean circulation, wind-driven currents, and tidal currents is calculated.

[0064] 3.4 Wind speeds that occur once every few years (e.g., wind speeds that occur once every 50 years).

[0065] The method for calculating wind speeds that occur once every few years uses the Weibull three-parameter method, with units of m / s. The formula for calculating the probability density function of the Weibull distribution is as follows: (26) In the formula, This indicates a wind speed that occurs only once every few years. Represents the gamma function. Represents shape parameters; dimensionless. This represents the scale parameter, with units of m / s; Indicates positional parameters.

[0066] 3.4 A wave high that occurs once every few years (e.g., a wave high that occurs once every 50 years).

[0067] The method for calculating the wave height that occurs once every few years is the Weibull three-parameter method, with the unit being meters. The calculation method is shown in formula (26).

[0068] 3.5 Total number of typhoons passing by.

[0069] The number of typhoons that have passed through the area represented by the spatial points in the sea over many years.

[0070] 3.6 The highest level of typhoon to pass through.

[0071] The spatial point in the sea represents the highest level of typhoons that have passed through the area over many years.

[0072] 4. Socioeconomic factors.

[0073] The geodesic area (i.e., island area) is calculated by using the island's boundary points, and the population of the island (i.e., the number of people living on the island) is collected.

[0074] Based on the above description, the indicators affecting resource endowment consider the size and stability of the three energy sources, as well as their availability under current technological conditions. Indicators affecting synergy and complementarity consider the volatility, randomness, and intermittency of the three energy sources themselves, and their complementary peak-shaving characteristics. Indicators affecting the development environment consider the external environment and technological development conditions under extreme conditions for power generation equipment structures. The external environment under extreme conditions includes, for example, winds and waves occurring once every 50 years, maximum possible current velocity, and the number and level of typhoons. Technological development conditions include water depth and distance from the shore. Indicators affecting socio-economic development consider the island's geographical characteristics, including island area and population. The island's area size, to a certain extent, determines its resource carrying capacity, while the population size determines its electricity demand. These indicators comprehensively consider the spatiotemporal distribution characteristics, synergy and complementarity, dynamic changes, energy supply and demand, and disaster risks of the three energy sources, improving the scientific rigor and accuracy of the zoning indicator evaluation method.

[0075] As an optional implementation of this application, to eliminate the problem of different measurement units for different influencing indicators, different normalization methods are used to process different types of influencing indicators. To improve the influence of the normalization method on the final result, the implementation process of step 102 above may include: Step 1: In the indicator layer, except for the wave variation coefficient and wind variation coefficient, other indicators affecting resource endowment, synergistic complementarity indicators, and socio-economic indicators are all normalized using the first normalization function; among them, the higher the indicator layer values ​​corresponding to resource endowment, synergistic complementarity, and socio-economic factors, the better (excluding the wave variation coefficient and wind variation coefficient in the indicator layer). Based on this, the first normalization function is expressed as: (27) In the formula, Indicates the maximum value of the indicator. This represents the minimum value of the indicator. Indicators, This represents the normalization result. When there is a common... m One point, This represents the maximum value of the index at a spatial point. This represents the minimum value at a point in space.

[0076] Step 2: In the indicator layer, except for water depth, other indicators affecting the development environment, wave variability coefficient, and wind variability coefficient are all normalized using the second normalization function. Among these, smaller values ​​for the development environment (excluding water depth in the indicator layer), resource endowment, wave variability coefficient, and wind variability coefficient are preferred. Based on this, the second normalization function is expressed as: (28) Step 3: Normalize the water depth using a water depth normalization function. This function primarily considers the suitability of the power generation device for different water depths, assuming a suitable water depth range for the device. The unit is meters (m). In water depths less than... and greater than When the water depth is greater than or equal to 1, a normalized exponential function is constructed, the value of which approaches 0 from 1; and less than or equal to At this time, the normalization function value is always 1. Based on this, the water depth normalization function is expressed as: (29) In the formula, exp() is an exponential function.

[0077] Assuming the suitable water depth range for the power generation device is 50~100 m, then =50, =100, the piecewise function graph is as follows Figure 3 As shown.

[0078] As an optional implementation of this application, the main calculation process of the analytic hierarchy process used in step 103 is as follows: Figure 4 As shown. Based on this, the implementation process of step 103 can be described as follows: 1) Compare matrices.

[0079] By comparing each indicator in the indicator layer pairwise, the weight of each criterion layer to the target layer (i.e., the suitability value of each spatial point in the area surrounding the island) is determined, and the comparison matrix A = It has the following properties: (1) ; (2) ; (3) .

[0080] in, d The total number of indicators represents the total number of comparison matrices constructed. d Rank; i Represents the number of rows in the matrix; This refers to the number of indicators, corresponding to the number of columns in the matrix; This represents the value of each element in the matrix, meaning that all element values ​​in the matrix are greater than 0. This represents the elements on the main diagonal of the matrix that are 1, and the elements on the off-diagonal. and Satisfying the above formula The relationship between them.

[0081] The scoring method uses a scale of 1 to 9 to measure the importance of elements, as shown in Table 2.

[0082] Table 2 Meaning of scales 1-9

[0083] 2) Calculate the weights using the geometric mean method.

[0084] calculate d Comparison matrix weight vector The formula is as follows: (30) In the formula, for d Comparison of order matrices The Middle i Geometric mean of row elements , This is the sum of the geometric means of the elements in each row. yes d Comparison of order matrices The geometric mean weight vector.

[0085] 3) Consistency check.

[0086] calculate d Comparison of order matrices Largest eigenvalue The formula is as follows: (31) in, It is a vector The Each component.

[0087] Consistency index for verification judgment The formula is as follows: (32) Among them, consistency index The values ​​of are shown in Table 3.

[0088] Table 3 Consistency Indicators Value

[0089] (33) when When comparing matrices If the consistency check passes, otherwise the score is recalculated and the weighting is adjusted. The result is feasible.

[0090] As an optional implementation of this application, the implementation process of step 104 includes: 1) Standardization.

[0091] Constructing a matrix, we have : (34) In the formula, q=1,2,…,m represents the index of a point in space (there are m points in total in space); Represents the q-th spatial point at the th position. One indicator.

[0092] matrix Normalization is performed according to the normalization processing method provided in the above embodiments, and the matrix is ​​calculated. ,have: (35) In the formula, Indicates the first q The first spatial point Normalized results of each indicator.

[0093] 2) Contrast intensity.

[0094] By calculating the standard deviation ( The contrast intensity is represented by (), and the calculation formula is as follows: (36) In the formula, Indicates the first The standard deviation of the nth indicator, where the nth The normalized average of the indicators .

[0095] 3) Conflict.

[0096] By calculating the correlation coefficient ( () indicates conflict, and the calculation formula is as follows: (37) In the formula, Indicates the first The arithmetic mean of the standardized values ​​of the indicators. Indicates the first The first indicator and the first The correlation coefficient of each indicator Indicates the first The arithmetic mean of the standardized values ​​of each indicator. Indicates the first The first indicator and the first The correlation coefficients of the indicators.

[0097] 4) Information content.

[0098] By calculating the amount of information ( The value of useful information represents its role in the overall evaluation index system, and the calculation formula is as follows: (38) 5) Calculate the second weight.

[0099] Weights in the CRITIC method ( The formula for calculating ) is: (39) In the formula, Indicates the first The amount of information in each indicator.

[0100] Based on the above description, the formula for calculating the combined weights can be expressed as: (40) In the formula, Indicates the first The first weight of each indicator Indicates the first The second weight of each indicator Indicates the first The combined weights of each indicator.

[0101] As an optional implementation of this application, the implementation process of step 106 above can be described as follows: the normalized value of each indicator is multiplied by its combined weight value, and then the results of each indicator are summed to obtain the suitability value of each spatial point in the area surrounding the island; wherein, the suitability value is expressed as: (41) In the formula, For suitability value, Indicates the first The combined weights of each indicator; Indicates the first The normalized results of each indicator.

[0102] Furthermore, in step 106, during the process of selecting suitable integrated development areas for the synergistic complementarity of wave, wind, and photovoltaic resources across all sea spatial points, spatial points with water depths of 10–200 m and distances from islands ≤ 50 km can be considered. In practical applications, the threshold values ​​set in step 106 can be adjusted according to advancements in development technology, ultimately providing a score distribution result for the spatial points, with higher scores indicating higher priority for development.

[0103] In the scenario of synergistic and complementary development of wave, wind, and photovoltaic resources, a combined subjective and objective weighting method (i.e., the Analytic Hierarchy Process (AHP) + the CRITIC method) is used. The CRITIC method considers the correlation between data and the inherent volatility of the data. The AHP considers the subjective experience of professionals. The combination of these two methods in weighting assigns weights, making each indicator more reasonable. Furthermore, by employing this combined weighting method, both subjective evaluation and objective data are considered, avoiding biases that can occur with a single weight. Based on this, the indicator process for the integrated development area provided in this application can be as follows: Figure 2 As shown.

[0104] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 5As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores suitability assessment data for the integrated development of wave, solar, and wind resources around islands. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for assessing the suitability of integrated development of wave, solar, and wind resources around islands.

[0105] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0106] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0107] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0108] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0109] 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, data stored, data displayed, 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 the relevant data must comply with relevant regulations.

[0110] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media 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 (RRAM), magnetic 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 can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0111] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0112] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0113] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for assessing the suitability of comprehensive development of wave, light, and wind resources around islands, characterized in that, include: Obtain suitability assessment criteria for the area surrounding the island; The area surrounding an island refers to the region defined centered on the island. Using the suitability assessment criteria as the criterion layer and the indicators that affect the suitability assessment criteria as the indicator layer, a hierarchical comprehensive development assessment indicator system is constructed. The indicators in the indicator layer are normalized to obtain the normalized result; Using the analytic hierarchy process (AHP), the weights of the criteria layer are determined based on the indicators in the indicator layer, thus obtaining the first weight. The CRITIC method is used to determine the weights of the criterion layer based on the indicators in the indicator layer, thus obtaining the second weights; The combined weights of the criterion layer are determined based on the first weight and the second weight; Based on the combined weights and the normalization results, the suitability value of each spatial point in the surrounding area of ​​the island is determined, and spatial points with suitability values ​​higher than a set threshold are designated as comprehensive development areas suitable for the synergistic complementarity of wave, wind and photovoltaic resources.

2. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 1, characterized in that, The suitability assessment criteria include: resource endowment, synergy and complementarity, development environment and socio-economic conditions; The indicators affecting the resource endowment include: wave energy flux density, wave energy utilization rate, wave variability coefficient, wind power density, wind energy utilization rate, wind variability coefficient, annual total horizontal irradiance, irradiance utilization rate, and total radiation stability. The indicators affecting the synergy and complementarity include: wave power generation-wind or photovoltaic synergy, wave shutdown-wind or photovoltaic supplementation, wind power generation-wave or photovoltaic synergy, wind shutdown-wave or photovoltaic supplementation, photovoltaic power generation-wave or wind synergy, and photovoltaic shutdown-wave or wind supplementation. The indicators affecting the development environment include: the closest distance between the development space point and the island, water depth, maximum current velocity, wind speed that occurs once every many years, wave height that occurs once every many years, the total number of typhoons that pass through, and the maximum level of typhoons that pass through. The indicators affecting the socio-economic situation include: island area and the population living on the island.

3. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 2, characterized in that, The indicators in the indicator layer are normalized to obtain the normalization result, including: In the indicator layer, apart from the wave variation coefficient and the wind variation coefficient, other indicators affecting the resource endowment, the synergistic and complementary indicators, and the socio-economic indicators are all normalized using the first normalization function. In the indicator layer, apart from the water depth, other indicators affecting the development environment, the wave variation coefficient, and the wind variation coefficient are all normalized using a second normalization function. The water depth is normalized using a water depth normalization function.

4. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 3, characterized in that, The first normalization function is expressed as: ； In the formula, Indicates the maximum value of the indicator. This represents the minimum value of the indicator. Indicators, This represents the normalization result.

5. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 3, characterized in that, The second normalization function is expressed as: ； In the formula, Indicates the maximum value of the indicator. This represents the minimum value of the indicator. Indicators, This represents the normalization result.

6. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 3, characterized in that, The water depth normalization function is expressed as: ； In the formula, This represents the suitable water depth range for the power generation device, and exp() is an exponential function. Indicators, This represents the normalization result.

7. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 1, characterized in that, The combined weights are expressed as follows: ； In the formula, Indicates the first The first weight of each indicator Indicates the first The second weight of each indicator Indicates the first The combined weights of the indicators d This indicates the total number of indicators.

8. The suitability assessment method for comprehensive development of wave, light, and wind resources around islands according to claim 1, characterized in that, Based on the combined weights and the normalization result, the suitability value of each spatial point in the area surrounding the island is determined, including: The suitability value of each spatial point in the surrounding area of ​​the island is obtained by summing the combined weights and the normalized results; the suitability value is expressed as: ； In the formula, For suitability value, Indicates the first The combined weights of the indicators Indicates the first The normalized results of each indicator d This indicates the total number of indicators.

9. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the suitability assessment method for comprehensive development of wave, light, and wind resources around an island as described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the suitability assessment method for comprehensive development of wave, light, and wind resources around an island, as described in any one of claims 1-8.

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