A method and system for predicting power generation of photovoltaic panels on offshore platforms

Abstract

The present invention relates to the technical field of photovoltaic panel power generation prediction, specifically to a method and system for predicting photovoltaic panel power generation of an offshore platform, wherein the method includes: obtaining relevant data for photovoltaic panel power generation prediction; the relevant data include: solar radiation on the predicted date and predicted sea area, photovoltaic panel area, photovoltaic panel efficiency, power supply efficiency, temperature influence coefficient of seawater temperature on photovoltaic panel power generation efficiency, sea wave influence coefficient of sea waves on photovoltaic panel power generation, cloud cover coefficient of cloud layer on photovoltaic panel power generation, solar radiation attenuation coefficient of seawater covering photovoltaic panel on its power generation; according to the relevant data, a self-defined photovoltaic panel power generation prediction model is used to predict photovoltaic panel power generation. This solution solves the problem that the power generation prediction of the existing offshore platform is inaccurate due to the influence of factors such as the angle of the photovoltaic panel on the offshore platform being affected by the waves and the surface being covered by seawater, and effectively improves the accuracy of the prediction of photovoltaic panel power generation on the offshore platform.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic panel power generation prediction, and in particular to a photovoltaic panel power generation prediction method and system for an offshore platform. Background Art

[0002] With the demand for marine research and operations, offshore platforms, as auxiliary equipment that can be fixed or float on the sea, can help complete many marine research and operations. The energy of offshore platforms is diversified, among which photovoltaic panels play an important role in offshore platforms because of its energy saving and environmental protection. In particular, some small offshore platforms floating on the sea and unmanned mostly use photovoltaic panels as their communication energy to power communication control units and other loads, such as wave gliders. Its power is mainly obtained by utilizing wave energy. In order to maximize the use of wave energy, the size of the offshore platform is limited, and the area of ​​the photovoltaic panels is limited. Therefore, when the sunshine is insufficient or the load power consumption is large, it is easy to have insufficient battery power for photovoltaic panel energy storage. When the battery power is lower than a certain level, the working time of the mission load must be reduced. In serious cases, it is necessary to reduce the working time of the offshore platform's own sensors and communication control units. In extreme cases, when the battery power is exhausted and it encounters continuous rainy days, it may even cause the offshore platform to lose power and lose communication control, eventually causing equipment damage or loss.

[0003] Therefore, it is very important to predict the power generation of photovoltaic panels on offshore platforms. Accurate prediction can provide reliable energy guarantee for subsequent mission payloads and communication control units. When the predicted power generation is sufficient, the payload or electric propulsion can be turned on to the maximum extent to avoid wasting solar energy. When the predicted power generation is insufficient, the payload working time can be reduced in advance to ensure the basic communication control needs of the platform.

[0004] However, current research on the prediction of photovoltaic panel power generation is mainly focused on the application of photovoltaic panels on land. The main factors affecting the power generation of photovoltaic panels are solar radiation intensity, photovoltaic panel efficiency and solar radiation time. The solar radiation intensity consists of three parts: direct solar radiation, sky scattered radiation and ground reflected radiation. Direct solar radiation is related to the sun's declination angle, azimuth angle and hour angle, and is also related to the azimuth angle and horizontal angle of the photovoltaic panel. Since the azimuth angle and horizontal angle of photovoltaic panels on land are generally fixed or artificially controlled, and the angle of the sun can also be calculated, the direct solar radiation of land-based photovoltaic panels can be calculated based on the angle between the sun and the photovoltaic panel.

[0005] However, the horizontal angle and azimuth angle of the photovoltaic panels on offshore platforms are not fixed, especially when the size of the platform is smaller than the wavelength of the waves or close to the wavelength of the waves, its movement characteristics will be similar to the waves. The ups and downs of the waves will change the angle of the photovoltaic panels. Even in the third-level sea conditions, the angle of the photovoltaic panels on the small offshore platforms will change dramatically, and the angle change of the photovoltaic panels will affect the power generation. In addition, when the offshore platform is small, the photovoltaic panels are closer to the sea surface. When the waves are large, they will be covered by sea water. The turbid water layer will attenuate the intensity of sunlight, which will in turn affect the power generation of the photovoltaic panels. The reflected radiation from the sea surface is also different from the reflected radiation from the ground, and the sea water temperature is also different from the air temperature on land. The existing methods for predicting the power generation of photovoltaic panels on land are directly used to predict the power generation of photovoltaic panels on offshore platforms. Their accuracy is seriously affected by the above problems and cannot accurately predict the power generation of photovoltaic panels.

[0006] Therefore, there is an urgent need for a method for predicting the power generation of photovoltaic panels on offshore platforms that can improve the prediction accuracy. Summary of the invention

[0007] One of the purposes of the present invention is to provide a method for predicting the power generation of photovoltaic panels on an offshore platform, which can be used for predicting the power generation of photovoltaic panels on an offshore platform and improve the prediction accuracy.

[0008] The first basic solution provided by the present invention is a method for predicting the power generation of photovoltaic panels on an offshore platform, comprising the following contents:

[0009] Obtain relevant data for photovoltaic panel power generation prediction; the relevant data include: solar radiation A (lat, date) on the predicted date and predicted sea area, photovoltaic panel area S pv , Photovoltaic panel efficiency η pv , power efficiency η of photovoltaic controller and battery charging and discharging efficiency bat , the temperature influence coefficient K of seawater temperature on photovoltaic panel power generation efficiency temp , the wave influence coefficient K of the wave on the power generation of photovoltaic panels wave , the cloud cover coefficient K of the effect of clouds on the power generation of photovoltaic panels cloud , the solar radiation attenuation coefficient C of the effect of seawater covering photovoltaic panels on their power generation;

[0010] According to the relevant data, a custom photovoltaic panel power generation prediction model is used to predict the photovoltaic panel power generation P.

[0011] Beneficial effects of basic scheme 1: In this scheme, the relevant data of photovoltaic panel power generation prediction is obtained, and a custom photovoltaic panel power generation prediction model is used to predict the photovoltaic panel power generation P. The relevant data include: A (lat, date), S pv , η pv , η bat , K temp, K wave , K cloud , C; A(lat,date), S pv , η pv , η bat These are the data used in traditional prediction methods, because the power generation of photovoltaic panels mainly depends on solar radiation, the panel area of ​​the equipment itself, the efficiency of photovoltaic panel power generation (i.e., photovoltaic panel efficiency), photovoltaic controllers, and the power efficiency of battery charging and discharging. On this basis, this solution, combined with the actual working environment of the offshore platform, introduces the temperature influence coefficient that reflects the influence of seawater temperature on the power generation efficiency of photovoltaic panels, the wave influence coefficient that reflects the influence of waves on the power generation of photovoltaic panels, the cloud cover coefficient that reflects the influence of clouds on the power generation of photovoltaic panels, and the solar radiation attenuation coefficient that reflects the influence of seawater covering photovoltaic panels on their power generation. The main influencing factors on the power generation of photovoltaic panels in the working environment of the offshore platform are converted into relevant data required for predicting power generation, and then a custom photovoltaic panel power generation prediction model is used to predict the power generation P of photovoltaic panels. This solves the problem that the angle of photovoltaic panels on existing offshore platforms is affected by waves, the surface is covered by seawater, and other factors, resulting in inaccurate power generation prediction, and effectively improves the accuracy of power generation prediction of photovoltaic panels on offshore platforms.

[0012] Furthermore, the custom photovoltaic panel power generation prediction model is:

[0013] P=A(lat,date)S pv η pv η bat K temp K wave K cloud C;

[0014] In A(lat,date), lat is the latitude of the predicted sea area for the photovoltaic panels, and date is the predicted date.

[0015] Beneficial effect: P = A (lat, date) S pv η pv η bat K temp K wave K cloud C, where K temp , K wave , K cloud and C, which effectively reflect the impact of seawater temperature on the efficiency of photovoltaic panels, the impact of waves on the power generation of photovoltaic panels, the impact of clouds on the power generation of photovoltaic panels, and the impact of seawater covering photovoltaic panels on their power generation. A(lat, date) is accurate to date data, so it can accurately predict the power generation of the offshore platform on the predicted date.

[0016] Further, obtain A(lat,date), including:

[0017] Obtain the latitude information and forecast date information of the predicted sea area where the photovoltaic panels are located;

[0018] According to the latitude information and the predicted date information, the solar radiation formula is used to calculate and obtain A(lat, date), or according to the latitude information and the predicted date information, the solar radiation amount is queried, and the query result is equal to A(lat, date).

[0019] Beneficial effect: For A(lat, date), the solar radiation formula or direct table lookup can be selected according to actual needs to improve the universality of this solution.

[0020] Further, obtain K temp ,include:

[0021] Get the forecast date and weather information of the forecasted sea area;

[0022] According to weather information, obtain the sea water temperature on the predicted date;

[0023] Determine the seawater temperature range to which the seawater temperature belongs:

[0024] According to the seawater temperature range, set K temp is the temperature influence coefficient value corresponding to the seawater temperature range, where the temperature influence coefficient value is greater than or equal to 1, and the larger the maximum value of the seawater temperature range, the lower the corresponding temperature influence coefficient value.

[0025] Beneficial effect: Photovoltaic panels work on the sea surface and are immersed in seawater. Their working temperature is equal to the seawater temperature. Therefore, the seawater temperature of the day can be determined based on weather information, and then the working temperature can be obtained. The precise calculation formula for the effect of temperature on the power generation efficiency of photovoltaic panels is relatively complex, which will greatly increase the calculation time and affect the practicality of this solution. Therefore, in this solution, K is set according to the seawater temperature range. temp is the temperature influence coefficient value corresponding to the seawater temperature range, thereby reducing the calculation time and enhancing the practicality of this scheme.

[0026] Further, obtain K wave ,include:

[0027] Get the forecast date and sea condition information of the forecasted sea area;

[0028] Determine the sea condition level range to which the sea condition information belongs;

[0029] According to the sea condition level range, set K wave It is the wave influence coefficient value corresponding to the sea state level range, where the wave influence coefficient value is less than or equal to 1, and the larger the maximum value of the sea state level range, the lower the corresponding wave influence coefficient value.

[0030] Beneficial effect: The movement of the offshore platform changes with the waves. Under different sea conditions, the wave height is different, so K is determined according to the sea condition level range. wave , concise and accurate.

[0031] Further, obtain K cloud ,include:

[0032] Get the forecast date and weather information of the forecasted sea area;

[0033] Based on weather information, determine the cloud cover and its percentage of power generation time;

[0034] Map the cloud cover and its percentage of power generation time to the preset cloud cover coefficient range to obtain the corresponding cloud cover coefficient value; wherein the cloud cover of 0% accounts for 100% of the power generation time, corresponding to the maximum value in the cloud cover coefficient range, and the cloud cover of 100% accounts for 100% of the power generation time, corresponding to the minimum value in the cloud cover coefficient range;

[0035] Setting K cloud is the corresponding cloud cover coefficient value.

[0036] Beneficial effects: Cloud cover directly affects the solar radiation received by photovoltaic panels. Therefore, the impact of cloud cover on the solar radiation received by photovoltaic panels is quantified based on the cloud cover and its percentage of power generation time, solving the problem of complex models for determining the impact of cloud cover in traditional photovoltaic panel power generation prediction.

[0037] Furthermore, the solar radiation attenuation coefficient C is:

[0038] C=(1-0.025C tur C water );

[0039] Among them C tur is the turbidity parameter, C water is the water layer parameter.

[0040] Beneficial effect: The attenuation of sunlight passing through the water layer is related to the thickness and turbidity of the water layer. Therefore, the turbidity parameter C tur and water layer parameter C water To calculate C.

[0041] Further, obtain C tur ,include:

[0042] Get the forecast date and the seawater turbidity information of the forecasted sea area;

[0043] Determine the seawater turbidity range to which the seawater turbidity information belongs;

[0044] According to the seawater turbidity range, set C turis the turbidity parameter value corresponding to the seawater turbidity range, where the turbidity parameter value is less than or equal to 2, and the larger the maximum value of the seawater turbidity range, the higher the corresponding turbidity parameter value.

[0045] Beneficial effect: The seawater turbidity is divided into multiple ranges, and the influence of different turbidities on power generation is reflected by setting corresponding turbidity parameter values ​​for each range.

[0046] Further, obtain C water ,include:

[0047] Get the forecast date and sea condition information of the forecasted sea area;

[0048] Determine the sea condition level range to which the sea condition information belongs;

[0049] According to the sea condition level range, set C water It is the water layer parameter value corresponding to the sea state level range, where the water layer parameter value is less than or equal to 2, and the larger the maximum value of the sea state level range, the higher the corresponding water layer parameter value.

[0050] Beneficial effect: The thickness of the water layer covering the photovoltaic panels is different under different sea conditions. The sea conditions are divided into multiple ranges. By setting corresponding water layer parameter values ​​for each range, the influence of different water layers on power generation is reflected.

[0051] A second object of the present invention is to provide a photovoltaic panel power generation prediction system for an offshore platform, which can be used for the photovoltaic panel power generation of an offshore platform and improve the prediction accuracy.

[0052] The present invention provides a second basic solution: a photovoltaic panel power generation prediction system for an offshore platform, which adopts the photovoltaic panel power generation prediction method for an offshore platform.

[0053] Beneficial effects of Basic Solution 2: This solution solves the problem of inaccurate power generation prediction due to the influence of factors such as the angle of photovoltaic panels on existing offshore platforms being affected by waves and the surface being covered by sea water, and effectively improves the accuracy of power generation prediction of photovoltaic panels on offshore platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of a flow chart of an embodiment of a method for predicting power generation of photovoltaic panels of an offshore platform according to the present invention;

[0055] Figure 2 This is a schematic diagram of an offshore platform moving with the waves in an embodiment of a method for predicting power generation of photovoltaic panels of an offshore platform of the present invention;

[0056] Figure 3 for Figure 2 Enlarged view of point A in the middle. DETAILED DESCRIPTION

[0057] The following is further described in detail through specific implementation methods:

[0058] The reference numerals in the drawings of the specification include: ocean waves 1, photovoltaic panels 2, wave gliders 3, solar radiation 4, and seawater 5.

[0059] The embodiment is basically as shown in the attached Figure 1 As shown: A method for predicting the power generation of photovoltaic panels on an offshore platform, including the following contents:

[0060] Obtain latitude information, forecast date information, weather information, sea condition information, seawater turbidity information, photovoltaic panel and power system information of the forecast sea area where the photovoltaic panel 2 to be forecasted for power generation is located;

[0061] According to the latitude information, forecast date information, weather information, sea condition information, seawater turbidity information, photovoltaic panel and power system information, the relevant data of photovoltaic panel 2 power generation forecast are obtained, wherein the relevant data include: the solar radiation A(lat, date) of the forecast date and forecast sea area, the photovoltaic panel area S pv , Photovoltaic panel efficiency η pv (i.e., the power generation efficiency of the photovoltaic panel 2), the power efficiency η of the photovoltaic controller and the battery charging and discharging bat , the temperature influence coefficient K of seawater temperature on the power generation efficiency of photovoltaic panels 2 temp , the influence coefficient K of the wave 1 on the power generation of the photovoltaic panel 2 wave , the cloud cover coefficient K of the effect of clouds on the power generation of photovoltaic panels 2 cloud , the solar radiation attenuation coefficient C of the effect of seawater 5 covering the photovoltaic panel 2 on its power generation; where C is determined by the turbidity parameter C tur and water layer parameter C water Sure;

[0062] Specifically, obtain A(lat,date), including:

[0063] Obtain the latitude information and predicted date information of the predicted sea area where the photovoltaic panel 2 is located;

[0064] According to the latitude information and the predicted date information, the solar radiation formula is used to calculate and obtain A(lat, date), or according to the latitude information and the predicted date information, the solar radiation amount is queried, such as entering the latitude and date information in the professional software "WheatA Wheat Malt-Agricultural Meteorological Big Data" to query the solar radiation amount, or querying according to the "China Radiation Daily Dataset" published on the website of the National Meteorological Science Data Center, the query result is equal to A(lat, date); the solar radiation formula adopts the "Guidelines for Calculation of Direct Solar Radiation".

[0065] Get S pv , η pv and ηbat , S can be directly obtained based on the photovoltaic panel and power system information pv , η pv and η bat The specific value of S pv , η pv and η bat And other basic data of photovoltaic panels 2.

[0066] Get K temp ,include:

[0067] Get the forecast date and weather information of the forecasted sea area;

[0068] According to weather information, obtain the sea water temperature on the predicted date;

[0069] Determine the seawater temperature range to which the seawater temperature belongs:

[0070] According to the seawater temperature range, set K temp is the temperature influence coefficient value corresponding to the seawater temperature range, where the temperature influence coefficient value is greater than or equal to 1, and the larger the maximum value of the seawater temperature range, the lower the corresponding temperature influence coefficient value. The photovoltaic panel 2 works on the sea surface and is immersed in seawater 5. Its working temperature is equal to the seawater temperature. Therefore, the seawater temperature of the day can be determined according to the weather information, and then the working temperature can be obtained.

[0071] The precise calculation formula for the effect of temperature on the power generation efficiency of photovoltaic panels 2 is relatively complex, which will greatly increase the calculation time, affect the prediction rate, and thus affect the practicality of this scheme. Therefore, K temp According to the known efficiency of photovoltaic panels and the relationship between efficiency and operating temperature, it is determined. Specifically, in this embodiment, the offshore platform is a wave glider 3, on the surface of which a photovoltaic panel 2 is arranged. The efficiency of the photovoltaic panel is the efficiency at 25°C. Generally, the efficiency of the photovoltaic panel 2 is increased by about 5% at 15°C and by about 10% at 5°C. The seawater temperature in general sea areas rarely exceeds 30°C. For fast calculation, the seawater temperature is divided into three situations: below 5°C, above 5°C and below 15°C, and above 15°C, namely:

[0072] The above seawater temperature range includes: a first seawater temperature range, a second seawater temperature range and a third seawater temperature range;

[0073] The first seawater temperature range is: the seawater temperature is less than or equal to 5°C, and the corresponding temperature influence coefficient value is 1.1;

[0074] The second seawater temperature range is: the seawater temperature is greater than 5°C and less than or equal to 15°C, and the corresponding temperature influence coefficient value is 1.05;

[0075] The third seawater temperature range is: the seawater temperature is greater than 15°C, and the corresponding temperature influence coefficient value is 1.

[0076] Get K wave ,include:

[0077] Get the forecast date and sea condition information of the forecasted sea area;

[0078] Determine the sea condition level range to which the sea condition information belongs;

[0079] According to the sea condition level range, set K wave It is the wave 1 influence coefficient value corresponding to the sea state level range, where the wave 1 influence coefficient value is less than or equal to 1, and the larger the maximum value of the sea state level range, the lower the corresponding wave 1 influence coefficient value.

[0080] The offshore platform will be affected by the waves 1 and change its angle. In particular, the smaller the offshore platform, the greater the impact of the waves 1. The photovoltaic panels 2 installed on the corresponding offshore platform will move with the movement of the offshore platform. In this embodiment, the wave glider 3 is smaller in size and is more affected by the waves 1. The movement trajectory of the photovoltaic panel 2 can be approximated to the movement trajectory of the waves 1.

[0081] By indication Figure 2 It can be seen that, in general, the larger the wave 1, the more dramatic the angle change of the photovoltaic panel 2, and the lower the corresponding power generation of the photovoltaic panel 2. The existing method for calculating the impact of the wave 1 on the power generation of the photovoltaic panel is complex, the parameters and simulation process are complex, and the amount of calculation is large, which seriously limits the prediction speed. Therefore, in this scheme, the size of the wave 1 is expressed by the sea condition. The wave 1 can be approximated as a sine wave. The wavelength of the wave 1 is 8 meters. The wavelength of the wave 1 is a fixed value. The wave height of the wave 1 in different sea conditions is different. The higher the wave height of the wave 1, the more dramatic the angle change of the photovoltaic panel 2, and the greater the loss of power generation of the corresponding photovoltaic panel 2. The wave height of the sea condition of level 0-1 is less than 0.1 meters, which can be ignored, and the corresponding power generation loss of the photovoltaic panel 2 is very small. The wave height of the sea condition of level 2-3 is 0.1-1.25 meters, corresponding to the power generation loss of the photovoltaic panel 2 of about 10%. The wave height of the sea condition of level 4 is 1.25-2.5 meters, corresponding to the power generation loss of the photovoltaic panel 2 of about 30%. The sea condition above level 4 corresponds to relatively bad weather, and is not classified, which is equivalent to level 4.

[0082] Therefore, the above sea state level range includes: the first sea state level range, the second sea state level range and the third sea state level range;

[0083] The first sea condition level range is: 0-1 sea condition, and the corresponding wave 1 impact coefficient value is 1;

[0084] The second sea condition level range is: 2-3 sea conditions, and the corresponding wave 1 impact coefficient value is 0.9;

[0085] The third sea condition level range is: Level 4 and above, and the corresponding wave 1 impact coefficient value is 0.7.

[0086] Get K cloud ,include:

[0087] Get the forecast date and weather information of the forecasted sea area;

[0088] Based on weather information, determine the cloud cover and its percentage of power generation time;

[0089] Map the cloud cover and its percentage of power generation time to the preset cloud cover coefficient range to obtain the corresponding cloud cover coefficient value; wherein the cloud cover of 0% accounts for 100% of the power generation time, corresponding to the maximum value in the cloud cover coefficient range, and the cloud cover of 100% accounts for 100% of the power generation time, corresponding to the minimum value in the cloud cover coefficient range;

[0090] In this embodiment, the cloud cover coefficient ranges from 0 to 1, K cloud When it is 1, it means that it is sunny and cloudless. cloud When it is 0, it means continuous rainy weather;

[0091] Setting K cloud is the corresponding cloud cover coefficient value. The cloud cover will directly affect the solar radiation 4 received by the photovoltaic panel 2. Therefore, the influence of the cloud cover on the solar radiation 4 received by the photovoltaic panel 2 is quantified according to the cloud cover and its percentage of the power generation time, so as to solve the problem of complex model in the traditional photovoltaic panel 2 power generation prediction.

[0092] Get C tur ,include:

[0093] Get the forecast date and the seawater turbidity information of the forecasted sea area;

[0094] Determine the seawater turbidity range to which the seawater turbidity information belongs;

[0095] According to the seawater turbidity range, set C tur is the turbidity parameter value corresponding to the seawater turbidity range, where the turbidity parameter value is less than or equal to 2, and the larger the maximum value of the seawater turbidity range, the higher the corresponding turbidity parameter value.

[0096] The attenuation of sunlight passing through a water layer is related to the thickness and turbidity of the water layer. Therefore, the above-mentioned seawater turbidity range includes: a first seawater turbidity range, a second seawater turbidity range, and a third seawater turbidity range;

[0097] The first seawater turbidity range is: less than or equal to 10NTU, and the corresponding turbidity parameter value is 0;

[0098] The second seawater turbidity range is: greater than 10NTU and less than or equal to 20NTU, and the corresponding turbidity parameter value is 1;

[0099] The third seawater turbidity range is: greater than 20NTU, and the corresponding turbidity parameter value is 2.

[0100] Get C water ,include:

[0101] Get the forecast date and sea condition information of the forecasted sea area;

[0102] Determine the sea condition level range to which the sea condition information belongs;

[0103] According to the sea condition level range, set C water It is the water layer parameter value corresponding to the sea state level range, where the water layer parameter value is less than or equal to 2, and the larger the maximum value of the sea state level range, the higher the corresponding water layer parameter value.

[0104] The attenuation of sunlight passing through the water layer is related to the thickness and turbidity of the water layer. The thickness of the water layer covering the photovoltaic panel 2 is different under different sea conditions, such as Figure 3 As shown, under sea conditions of level 0-1, the surface of the photovoltaic panel 2 is almost not covered by a water layer, and at this time, no matter how much the turbidity parameter is, the sunlight is not attenuated; under sea conditions of level 2-3, the photovoltaic panel 2 is covered by a water layer of less than 5 mm, and at this time, seawater 5 of different turbidities will have different degrees of attenuation on sunlight; under sea conditions of level 4 and above, there is a thicker water layer covering, and the seawater 5 has a greater attenuation effect on sunlight.

[0105] Therefore, the first sea state level range is: 0-1 sea state, the corresponding wave 1 impact coefficient value is 0;

[0106] The second sea condition level range is: 2-3 sea conditions, the corresponding wave 1 impact coefficient value is 1;

[0107] The third sea condition level range is: Level 4 and above, and the corresponding wave 1 impact coefficient value is 2.

[0108] Get C:

[0109] C=(1-0.025C tur C water ); parameter C tur and C water The product of the coefficient 0.025 reflects the attenuation of sunlight by turbidity and water layer (1-0.025C tur C water ) reflects the influence coefficient of different turbidity and water layer on the final power generation; among them, C tur C water Multiplying by 0.025 is C tur and C waterMapped to the small interval [0,0.1], because the normal photovoltaic panel 2 is always a flat plate floating on the sea surface, and the amount of seawater 5 covering its surface is limited, so C tur and C water The impact on the power generation efficiency of photovoltaic panel 2 is also limited, and its impact is generally in the range of [0,0.1]. tur C water Multiply by 0.025.

[0110] According to the relevant data, a custom photovoltaic panel 2 power generation prediction model is used to predict the power generation P of the photovoltaic panel 2;

[0111] Among them, the custom photovoltaic panel 2 power generation prediction model is:

[0112] P=A(lat,date)S pv η pv η bat K temp K wave K cloud C;

[0113] Right now

[0114] P=A(lat,date)S pv η pv η bat K temp K wave K cloud (1-0.025C tur C water );

[0115] In A(lat,date), lat is the latitude of the predicted sea area of ​​photovoltaic panel 2, and date is the predicted date.

[0116] The specific implementation process is as follows: In this embodiment, the offshore platform is a wave glider 3, which is a new type of unmanned offshore vehicle. As a small-sized unmanned offshore platform floating on the sea, it uses wave energy as its forward propulsion and solar energy as a source of power for communication, control, and load.

[0117] The wave glider 3 consists of an underwater wave energy propeller and a surface hull, which are connected by a flexible cable. The underwater wave energy propeller provides power, and the surface hull is equipped with photovoltaic panels 2, batteries, communication control units, etc. The electricity generated by the photovoltaic panels 2 is stored in the batteries to power the communication control unit and the load. The new generation of wave gliders 3 is equipped with auxiliary electric propulsion on the underwater wave energy propeller, and the auxiliary electric propulsion is turned on when necessary to speed up the navigation speed.

[0118] The wave glider 3 is a small offshore platform floating on the sea and unmanned. It has the problems described in the background technology. Therefore, the existing technology has low accuracy in predicting the power generation of its photovoltaic panel 2. In this embodiment, the power generation prediction method of the photovoltaic panel 2 of the above-mentioned offshore platform is combined with the actual working environment of the offshore platform, and the temperature influence coefficient reflecting the influence of seawater temperature on the power generation efficiency of the photovoltaic panel 2, the wave 1 influence coefficient reflecting the influence of wave 1 on the power generation of the photovoltaic panel 2, the cloud cover coefficient reflecting the influence of cloud layer on the power generation of the photovoltaic panel 2, and the solar radiation 4 attenuation coefficient reflecting the influence of seawater 5 covering the photovoltaic panel 2 on its power generation are introduced. The main influencing factors on the power generation of the photovoltaic panel 2 in the working environment of the platform are converted into relevant data required for predicting the power generation, and then the customized photovoltaic panel 2 power generation prediction model is used to predict the power generation of the photovoltaic panel 2, which solves the problem of inaccurate power generation prediction due to the angle of the photovoltaic panel 2 of the existing offshore platform being affected by the waves 1 and the surface being covered by sea water 5, effectively improving the accuracy of the power generation prediction of the photovoltaic panel 2 of the offshore platform, and the method for determining the above coefficients is simple, which solves the problems of many parameters, large amount of calculation and complex calculation in the traditional calculation method, and greatly improves the practicality of this solution.

[0119] This embodiment also provides a photovoltaic panel power generation prediction system for an offshore platform, which adopts the photovoltaic panel power generation prediction method for an offshore platform.

[0120] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for predicting the power generation of photovoltaic panels on an offshore platform, characterized in that: It includes the following: Obtain relevant data for photovoltaic panel power generation prediction; the relevant data include: solar radiation A (lat, date) on the predicted date and predicted sea area, photovoltaic panel area S pv , Photovoltaic panel efficiency η pv , power efficiency η of photovoltaic controller and battery charging and discharging efficiency bat , the temperature influence coefficient K of seawater temperature on photovoltaic panel power generation efficiency temp , the wave influence coefficient K of the wave on the power generation of photovoltaic panels wave , the cloud cover coefficient K of the effect of clouds on the power generation of photovoltaic panels cloud , the solar radiation attenuation coefficient C of the effect of seawater covering photovoltaic panels on their power generation; According to relevant data, a custom photovoltaic panel power generation prediction model is used to predict the photovoltaic panel power generation P; The custom photovoltaic panel power generation prediction model is: P=A(lat,date)S pv or pv or bat K temp K wave K cloud C; Among them, A(lat,date) is the latitude of the predicted sea area of ​​the photovoltaic panel, and date is the predicted date; Where K temp ,include: Get the forecast date and weather information of the forecasted sea area; According to weather information, obtain the sea water temperature on the predicted date; Determine the seawater temperature range to which the seawater temperature belongs: According to the seawater temperature range, set K temp is the temperature influence coefficient value corresponding to the seawater temperature range, where the temperature influence coefficient value is greater than or equal to 1, and the larger the maximum value of the seawater temperature range, the lower the corresponding temperature influence coefficient value; Get K wave ,include: Get the forecast date and sea condition information of the forecasted sea area; Determine the sea condition level range to which the sea condition information belongs; According to the sea condition level range, set K wave is the wave influence coefficient value corresponding to the sea state level range, where the wave influence coefficient value is less than or equal to 1, and the larger the maximum value of the sea state level range, the lower the corresponding wave influence coefficient value; Get K cloud ,include: Get the forecast date and weather information of the forecasted sea area; Based on weather information, determine the cloud cover and its percentage of power generation time; Map the cloud cover and its percentage of power generation time to the preset cloud cover coefficient range to obtain the corresponding cloud cover coefficient value; wherein the cloud cover of 0% accounts for 100% of the power generation time, corresponding to the maximum value in the cloud cover coefficient range, and the cloud cover of 100% accounts for 100% of the power generation time, corresponding to the minimum value in the cloud cover coefficient range; Setting K cloud is the corresponding cloud cover coefficient value; The solar radiation attenuation coefficient C: C=(1-0.025C tur C water ); Among them C tur is the turbidity parameter, C water is the water layer parameter.

2. The method for predicting power generation of photovoltaic panels on an offshore platform according to claim 1, characterized in that: Get A(lat,date), including: Obtain the latitude information and forecast date information of the predicted sea area where the photovoltaic panels are located; According to the latitude information and the predicted date information, the solar radiation formula is used to calculate and obtain A(lat, date), or according to the latitude information and the predicted date information, the solar radiation amount is queried, and the query result is equal to A(lat, date).

3. The method for predicting power generation of photovoltaic panels on an offshore platform according to claim 1, characterized in that: Get C tur ,include: Get the forecast date and seawater turbidity information of the forecasted sea area; Determine the seawater turbidity range to which the seawater turbidity information belongs; According to the seawater turbidity range, set C tur is the turbidity parameter value corresponding to the seawater turbidity range, where the turbidity parameter value is less than or equal to 2, and the larger the maximum value of the seawater turbidity range, the higher the corresponding turbidity parameter value.

4. The method for predicting power generation of photovoltaic panels on an offshore platform according to claim 1, characterized in that: Get C water ,include: Get the forecast date and sea condition information of the forecasted sea area; Determine the sea condition level range to which the sea condition information belongs; According to the sea condition level range, set C water It is the water layer parameter value corresponding to the sea state level range, where the water layer parameter value is less than or equal to 2, and the larger the maximum value of the sea state level range, the higher the corresponding water layer parameter value.

5. A photovoltaic panel power generation prediction system for an offshore platform, characterized in that: A method for predicting power generation of photovoltaic panels on an offshore platform according to any one of claims 1 to 4 above.

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