WO2023287359A2 - Method, device, and system for forecasting generated power of photovoltaic power station - Google Patents
Method, device, and system for forecasting generated power of photovoltaic power station Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
Disclosed are a method, device, and system for forecasting generated power of a photovoltaic power station. A power forecasting device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
Description
METHOD, DEVICE, AND SYSTEM FOR FORECASTING GENERATED POWER OF PHOTOVOLTAIC POWER STATION
TECHNICAU FIEUD
[0001] This application relates to the field of photovoltaic power generation, and in particular, relates to a method, device, and system for forecasting generated power of a photovoltaic power station.
BACKGROUND
[0002] With massive connection of photovoltaic power stations to a power grid, safe and stable running of the power grid is greatly affected by time-varying characteristics and volatility of the photovoltaic power stations. As a result, power grid dispatch is increasingly difficult. In addition, a technology for forecasting generated power of a photovoltaic power station is significant to improvement of the quality of photovoltaic grid connection, optimizing a power grid dispatch plan, and promoting safe and stable running of a power grid. Thus, the technology exerts great significance to safe and stable running of the power grid.
SUMMARY
[0003] Embodiments of the present disclosure provide a method, device, and system for forecasting generated power of a photovoltaic power station, to solve the problem that in the related art, power grid dispatch is increasingly difficult in the case that photovoltaic power stations are massively connected to a power grid.
[0004] In one aspect of the embodiments of the present disclosure, a method for forecasting generated power of a photovoltaic power station is provided. The method is applicable to a power forecasting device in a photovoltaic power station, wherein the photovoltaic power station includes a photovoltaic device. The method includes:
[0005] acquiring actual generated power of the photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorologi91cal source, of the target region in a second time period, wherein the second time period is after the first time period; [0006] acquiring forecasted generated power of the photovoltaic device in the second time period by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using a power forecasting model; and [0007] sending the forecasted generated power.
[0008] In some embodiments, each of the actual meteorological data and the forecasted meteorological data includes irradiance; the photovoltaic device includes a boost device and an inverter; and acquiring the actual generated power of the photovoltaic device in the first time period includes:
[0009] determining acquired power of the boost device in the first time period as the actual generated power of the photovoltaic device in the first time period;
[0010] in the case that the power of the boost device in the first time period fails to be acquired, determining acquired power of the inverter in the first time period as the actual generated power of the photovoltaic device in the first time period; or
[0011] in the case that the power of the inverter in the first time period fails to be acquired, determining power corresponding to irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
[0012] In some embodiments, each of the actual meteorological data and the forecasted meteorological data includes irradiance; and acquiring the actual generated power of the photovoltaic device includes:
[0013] in the case that the first time period is a power-rationing period, determining power corresponding to irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
[0014] In some embodiments, determining the power corresponding to the irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period includes:
[0015] in the case that the actual meteorological data in the first time period includes irradiance, determining power corresponding to the irradiance in the actual meteorological data in the first time period as the actual generated power of the photovoltaic device;
[0016] in the case that the actual meteorological data in the first time period does not include irradiance, determining power corresponding to irradiance in actual meteorological data of the target region in a third period as the actual generated power of the photovoltaic device, wherein the third period is before the first time period; or
[0017] in the case that the actual meteorological data of the target region in the third period does not include irradiance, determining power corresponding to irradiance in forecasted meteorological data of the target region in the first time period as the actual generated power of the photovoltaic device.
[0018] In some embodiments, the method further includes:
[0019] sending the actual generated power of the photovoltaic device in the first time period, actual generated power of the photovoltaic device in the second time period, the actual
meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period to a cloud device, such that the cloud device updates the power forecasting model based on the actual generated power, the actual meteorological data, and the forecasted meteorological data.
[0020] In another aspect of the embodiments of the present disclosure, a method for forecasting generated power of a photovoltaic power station is provided. The method is applicable to a cloud device. The method includes:
[0021] acquiring a power forecasting model by training a plurality of pieces of sample data; and [0022] sending the power forecasting model to a power forecasting device of a photovoltaic power station, wherein the photovoltaic power station includes a photovoltaic device; and the power forecasting device is configured to forecast generated power of the photovoltaic device using the power forecasting model;
[0023] wherein each of the pieces of sample data comprises: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period.
[0024] In still another aspect of the embodiments of the present disclosure, a power forecasting device of a photovoltaic power station is provided. The photovoltaic power station includes a photovoltaic device. The power forecasting device includes:
[0025] an acquiring module, configured to acquire actual generated power of the photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in a second time period, wherein the second time period is after the first time period;
[0026] a processing module, configured to acquire forecasted generated power of the photovoltaic device in the second time period by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using a power forecasting model; and
[0027] a sending module, configured to send the forecasted generated power.
[0028] In yet another aspect of the embodiments of the present disclosure, a cloud device is provided. The cloud device includes:
[0029] a training module, configured to acquire a power forecasting model by training a plurality of pieces of sample data; and
[0030] a sending module, configured to send the power forecasting model to a power forecasting device of a photovoltaic power station, wherein the photovoltaic power station comprises a photovoltaic device, and the power forecasting device is configured to forecast generated power of the photovoltaic device using the power forecasting model;
[0031] wherein each of the pieces of sample data includes: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period.
[0032] In yet another aspect of the embodiments of the present disclosure, a system for forecasting generated power of a photovoltaic power station is provided. The system includes the power forecasting device of the photovoltaic power station and the cloud device according to the above aspects.
[0033] In yet another aspect of the embodiments of the present disclosure, a non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium stores one or more instructions therein. The one or more instructions, when loaded and executed by a processor, cause the processor to perform the method for forecasting the generated power of the photovoltaic power station, applicable to the power forecasting device according to the above aspect; or the method for forecasting the generated power of the photovoltaic power station, applicable to the cloud device according to the above aspect.
[0034] In yet another aspect of the embodiments of the present disclosure, a device for forecasting power is provided. The device includes a memory, a processor, and a computer program stored in the memory. The processor, when loading and running the computer program, is caused to perform the method for forecasting the generated power of the photovoltaic power station, applicable to the power forecasting device according to the above aspect; or the method for forecasting the generated power of the photovoltaic power station, applicable to the cloud device according to the above aspect.
[0035] In yet another aspect of the embodiments of the present disclosure, a cloud device is provided. The cloud device includes a memory, a processor, and a computer program stored in the memory. The processor, when loading and running the computer program, is caused to perform the method for forecasting the generated power of the photovoltaic power station, applicable to the power forecasting device according to the above aspect; or the method for forecasting the generated power of the photovoltaic power station, applicable to the cloud device according to the above aspect
[0036] In yet another aspect, a computer program product including one or more instructions is provided. The computer program product, when loaded and run on a computer, causes the computer to perform the method for forecasting the generated power of the photovoltaic power station, applicable to the power forecasting device according to the above aspect; or the method for forecasting the generated power of the photovoltaic power station, applicable to the cloud device according to the above aspect.
[0037] The technical solutions according to the embodiments of the present disclosure achieve at least the following benefits:
[0038] The embodiments of the present disclosure provide a method, device, and system for forecasting generated power of a photovoltaic power station. A power forecasting device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe and reliable running of a power grid.
BRIEF DESCRIPTION OF THE DRAWINGS [0039] For clearer descriptions of the technical solutions in the embodiments of the present disclosure, the following briefly describes the accompanying drawings required for describing the embodiments. Apparently, the accompanying drawings in the following description show merely some embodiments of the present disclosure, and those of ordinary skill in the art can still derive other drawings from these accompanying drawings without creative efforts.
[0040] FIG. 1 is a schematic structural diagram of a system for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure;
[0041] FIG. 2 is a flowchart of a method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure;
[0042] FIG. 3 is a flowchart of another method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure;
[0043] FIG. 4 is a flowchart of still another method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure;
[0044] FIG. 5 is a flowchart of acquiring actual generated power of a photovoltaic device according to an embodiment of the present disclosure;
[0045] FIG. 6 is a flowchart of acquiring irradiance of a target region in a first time period according to an embodiment of the present disclosure;
[0046] FIG. 7 is a flowchart of acquiring forecasted generated power using a power forecasting model according to an embodiment of the present disclosure;
[0047] FIG. 8 is a schematic structural diagram of a system for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure;
[0048] FIG. 9 is a block diagram of a power forecasting device of a photovoltaic power station according to an embodiment of the present disclosure;
[0049] FIG. 10 is a block diagram of an acquiring module according to an embodiment of the present disclosure;
[0050] FIG. 11 is a block diagram of another power forecasting device of a photovoltaic power station according to an embodiment of the present disclosure; and
[0051] FIG. 12 is a block diagram of a cloud device according to an embodiment of the present disclosure.
DETAILED DESCRIPTION
[0052] For clearer descriptions of the objectives, technical solutions, and advantages of the present disclosure, the following further describes implementations of the present disclosure in detail with reference to the accompanying drawings.
[0053] FIG. 1 is a schematic structural diagram of a system for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure. As shown in FIG. 1, the system may include: a power forecasting device 10, a cloud device 20, and a photovoltaic device 30.
[0054] Each of the power forecasting device 10 and the cloud device 20 may be a server, a server cluster composed of several servers, or a cloud computing service center. The power forecasting device 10 may establish communication connections to the cloud device 20 and the photovoltaic device 30, respectively. The communication connections may be wired connections or wireless connections. The cloud device 20 is configured to transmit a trained power forecasting model to the power forecasting device 10. The power forecasting device 10 is configured to forecast a generation power of the photovoltaic device based on the power forecasting model.
[0055] Referring to FIG. 1, the photovoltaic device 30 may include a boost device 31, at least one inverter 32, at least one combiner box 33, and a plurality of photovoltaic arrays 34. Each of the photovoltaic arrays 34 includes a plurality of photovoltaic batteries which are arranged in an array.
[0056] Each of the photovoltaic arrays 34 is connected to one end of a corresponding combiner box 33. The other end of each of the at least one combiner box 33 is connected to one end of a
corresponding inverter 32. The other ends of the plurality of inverters 32 are all connected to the low-voltage side of the boost device 31. The high-voltage side of the boost device 31 is connected to a power dispatching device 40 in a power grid. The power forecasting device 10 is separately connected to the boost device 31 and each of the inverters 32.
[0057] Each of the photovoltaic batteries in the photovoltaic array 34 is configured to convert solar energy into a direct current, and transmit the direct current to a corresponding combiner box 33. Each of the at least one combiner box 33 is configured to combine a plurality of received direct currents, and transmit a combined direct current to the inverter 32. The inverter 32 is configured to convert a received direct current into an alternating current, and transmit the alternating current to the boost device 31. The boost device 31 is configured to boost the alternating current (namely, raising the voltage of the alternating current), and transmit a boosted alternating current to the power dispatching device 40.
[0058] FIG. 1 shows two inverters 32, four combiner boxes 33, and twelve photovoltaic arrays 34. Each three of the twelve photovoltaic arrays 34 are connected to one end of a corresponding combiner box 33. The other ends of each two of the four combiner boxes 33 are connected to one end of a corresponding inverter 32. The other ends of the two inverters 22 are both connected to the low-voltage side of the boost device 21 and the power forecasting device 10. The high- voltage side of the boost device 21 is connected to a power dispatching device 40 in a power grid. [0059] FIG. 2 is a flowchart of a method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure. The method is applicable to the power forecasting device 10 in FIG. 1. As shown in FIG. 2, the method may include the following steps.
[0060] In step 201, actual generated power of a photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in a second time period are acquired.
[0061] The power forecasting device may acquire the actual generated power of the photovoltaic device in the first time period, the actual meteorological data, in the first time period, of the target region where the photovoltaic power station is deployed, and the meteorological data, forecasted by the meteorological source, of the target region in the second time period. The second time period is after the first time period.
[0062] For example, the first time period may be 15 minutes; and the second time period may be greater than 0 hours and less than or equal to 8 hours.
[0063] Optionally, the meteorological source may include at least one of the European center for medium-range weather forecasts (ECMWF), the weather company of the international business
machines corporation (IBM), the national centers for environmental forecasting (NCEP), and the like.
[0064] Each of the actual meteorological data and the forecasted meteorological data may include at least one of irradiance, temperature, rainfall, cloud amount, clearness index, and weather type.
[0065] In step 202, forecasted generated power of the photovoltaic device in the second time period is acquired by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using a power forecasting model.
[0066] Upon determining the actual generated power, the actual meteorological data, and the forecasted meteorological data, the power forecasting device may input these pieces of data into the power forecasting model. Then, the power forecasting model may process these pieces of data, and output the forecasted generated power of the photovoltaic device in the second time period. The power forecasting model may be sent to the power forecasting device by a cloud device or by another device.
[0067] In step 203, the forecasted generated power is sent.
[0068] Upon acquiring the forecasted generated power, the power forecasting device may send the forecasted generated power to a power dispatching device, such that the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[0069] In summary, this embodiment of the present disclosure provides a method for forecasting a generated power of a photovoltaic power station. The power forecasting device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[0070] FIG. 3 is a flowchart of another method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure. The method is applicable to the cloud device 20 in FIG. 1. As shown in FIG. 3, the method may include the following steps.
[0071] In step 301, a power forecasting model is acquired by training a plurality of pieces of sample data.
[0072] The cloud device acquires the power forecasting model by training train the plurality of pieces of sample data. The plurality of pieces of sample data may be sent to the cloud device by a power forecasting device.
[0073] Each of the pieces of sample data may include: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period. For example, the first sample period may be 15 minutes; and the second sample period may be greater than 0 hours and less than or equal to 8 hours.
[0074] In step 302, the power forecasting model is sent to a power forecasting device of a photovoltaic power station.
[0075] Upon acquiring the power forecasting model, the cloud device may send the power forecasting model to the power forecasting device, such that the power forecasting device can forecast a generation power of the photovoltaic device based on the power forecasting model. [0076] In summary, this embodiment of the present disclosure provides a method for forecasting generated power of a photovoltaic power station. The power forecasting device may acquire a forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model sent by a cloud device; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[0077] In this embodiment of the present disclosure, the power forecasting model in the power forecasting device may be acquired from the cloud device or from another device. This is not limited in this embodiment of the present disclosure. This embodiment of the present disclosure is described by using an example in which the power forecasting model in the power forecasting device is acquired from the cloud device.
[0078] FIG. 4 is a flowchart of still another method for forecasting generated power of a photovoltaic power station according to an embodiment of the present disclosure. The method is applicable to the system for forecasting the generated power of the photovoltaic power station in FIG. 1. As shown in FIG. 4, the method may include the following steps.
[0079] In step 401, the cloud device trains a plurality of pieces of sample data to acquire a power forecasting model.
[0080] The cloud device may train the plurality of pieces of sample data to acquire the power forecasting model. The plurality of pieces of sample data may be sent to the cloud device by a power forecasting device.
[0081] Each of the pieces of sample data may include: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period. For example, the first sample period may be 15 minutes; and the second sample period may be greater than 0 hours and less than or equal to 8 hours.
[0082] In some embodiments, the meteorological source may include at least one of ECMWF, the weather company of IBM, NCEP, and the like.
[0083] Each of the actual meteorological data and the forecasted meteorological data may include at least one of solar irradiance, temperature, rainfall, cloud amount, clearness index, and weather type.
[0084] In this embodiment of the present disclosure, the power forecasting model may include a first sub-model and a second sub-model. The cloud device may train a first initial model by using the actual meteorological data and the forecasted meteorological data in the plurality of pieces of sample data, to acquire the first sub-model; input, into the first sub-model, the actual meteorological data and the forecasted meteorological data in the plurality of pieces of sample data, to acquire intermediate meteorological data output by the first sub-model; and then, train a second initial model by using the actual generated power of the photovoltaic device in the first sample period, the actual generated power of the photovoltaic device in the second sample period, and the intermediate meteorological data in the plurality of pieces of sample data, to acquire the second sub-model.
[0085] Each of the first initial model and the second initial model may be a learning model, for example, a random forest (RF) model, a ridge regression model, or an extreme gradient boosting (XGB) model.
[0086] In step 402, the cloud device sends the power forecasting model to the power forecasting device.
[0087] Upon acquiring the power forecasting model, the cloud device may send the power forecasting model to the power forecasting device.
[0088] In step 403, the power forecasting device acquires actual generated power of a photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in a second time period.
[0089] Upon receiving the power forecasting model sent by the cloud device, the power forecasting device may acquire the actual generated power of the photovoltaic device in the first time period, the actual meteorological data, in the first time period, of the target region where the photovoltaic power station is deployed, and the meteorological data, forecasted by the meteorological source, of the target region in the second time period. The second time period is after the first time period.
[0090] Referring to FIG. 1, the photovoltaic power station may further include a meteorological station 50. The power forecasting device may further establish a communication connection to the meteorological station 50. The meteorological station 50 is configured to acquire actual meteorological data of the target region where the photovoltaic power station is deployed. The power forecasting device may acquire, from the meteorological station 50, the actual meteorological data, in the first time period, of the target region where the photovoltaic power station is deployed.
[0091] Optionally, as shown in FIG. 5, a process in which the power forecasting device acquires the actual generated power of the photovoltaic device in the first time period may include the following steps.
[0092] In step 4031, whether the first time period is a power-rationing period is detected.
[0093] In this embodiment of the present disclosure, a period in which the photovoltaic device supplies power to a power dispatching device may be divided into a power-rationing period and a non-power-rationing period. A generation power supplied by the photovoltaic device in the power-rationing period to the power dispatching device is less than the actual generated power of the photovoltaic device. A generation power supplied by the photovoltaic device in the non- power-rationing period to the power dispatching device is equal to the actual generated power of the photovoltaic device. Both the power-rationing period and the non-power-rationing period are fixed periods pre-stored in the power forecasting device.
[0094] If the first time period is the power-rationing period, the power forecasting device may determine that the generation power supplied by the photovoltaic device to the power dispatching device is less than the actual generated power of the photovoltaic device. In other words, in the case that the power forecasting device directly acquires power of a boost device or an inverter in the first time period, the acquired power is less than the actual generated power. Therefore, the power forecasting device may perform step 4036 to ensure accuracy of a determined actual generated power. In the case that the first time period is not the power rationing period, the power forecasting device may determine that the directly acquired power of the boost device or the inverter in the first time period is equal to the actual generated power. Therefore, the power forecasting device may perform step 4032.
[0095] In step 4032, whether power of a boost device in the first time period is acquired is detected.
[0096] The power forecasting device may acquire the power of the boost device in the first time period upon determining that the first time period is not the power-rationing period. In the case that the power of the boost device in the first time period is acquired, the power forecasting device may perform step 4033. In the case that the power of the boost device in the first time period fails to be acquired, the power forecasting device may perform step 4034.
[0097] The power of the boost device may be power at a low -voltage side of the boost device or power at a high-voltage side of the boost device.
[0098] Optionally, the first time period may include a plurality of sub-periods. Each of the sub periods may include a plurality of moments. In the case that power at the low -voltage side of the boost device in the plurality of sub-periods of the first time period is acquired, the power forecasting device may use a mean value of the power in the plurality of sub -periods as the power of the boost device in the first time period. In the case that the power at the low-voltage side of the boost device in the plurality of sub-periods of the first time period fails to be acquired, the power forecasting device may use a mean value of power at the high-voltage side of the boost device in the plurality of sub-periods of the first time period as the power of the boost device in the first time period. A power in each of the sub-periods may be a mean value of power in one or more of the plurality of moments of the sub-period. For example, each of the sub periods may be 5 minutes.
[0099] In the case that the power at the low-voltage side of the boost device in the plurality of sub-periods of the first time period fails to be acquired, and the power at the high-voltage side of the boost device in the plurality of sub-periods of the first time period fails to be acquired, the power forecasting device may determine that the power of the boost device in the first time period fails to be acquired.
[00100] In this embodiment of the present disclosure, for the low-voltage side and the high-voltage side of the boost device, in the case that the quantity of power, in the sub-periods, acquired by the power forecasting device is greater than a first value, the power forecasting device may determine that the power in the first time period is acquired; or in the case that the quantity of power, in the sub-periods, acquired by the power forecasting device is less than or equal to the first value, the power forecasting device may determine that the power in the first time period fails to be acquired. The first value may be a fixed value pre-stored in the power forecasting device. For example, the first value may be greater than 3/4 time the quantity of the plurality of sub-periods.
[00101] In step 4033, the acquired power of the boost device in the first time period is determined as the actual generated power of the photovoltaic device in the first time period. [00102] Upon acquiring the power of the boost device in the first time period, the power forecasting device may use the power of the boost device in the first time period as the actual generated power of the photovoltaic device in the first time period.
[00103] In step 4034, whether power of an inverter in the first time period is acquired is detected.
[00104] In the case that the power of the boost device in the first time period fails to be acquired, the power forecasting device may acquire the power of the inverter in the first time period; in the case that the power of the inverter in the first time period is acquired, the power forecasting device may perform step 4035; or in the case that the power of the inverter in the first time period fails to be acquired, the power forecasting device may perform step 4036.
[00105] In the case that the photovoltaic device includes a plurality of inverters, the power forecasting device may acquire powers of each of the inverters in the plurality of sub-periods of the first time period, and determine a mean value of the powers of the plurality of inverters in the plurality of sub-periods as the power of the inverter in the first time period. Power of each of the inverters in a sub-period may be a mean value of power of the inverter in one or more of the plurality of moments of the sub-period.
[00106] For the plurality of inverters, in the case that the quantity of power, in the sub periods, acquired by the power forecasting device is greater than or equal to a second value, the power forecasting device may determine that the power of the inverter in the first time period is acquired; or in the case that the quantity of acquired power in the sub-periods is less than the second value, the power forecasting device may determine that the power of the inverter in the first time period fails to be acquired. The second value may be a fixed value pre-stored in the power forecasting device.
[00107] In step 4035, the acquired power of the inverter in the first time period is determined as the actual generated power of the photovoltaic device in the first time period. [00108] Upon acquiring the power of the inverter in the first time period, the power forecasting device may determine the acquired power of the inverter in the first time period as the actual generated power of the photovoltaic device in the first time period.
[00109] In step 4036, power corresponding to irradiance of the target region in the first time period is determined as the actual generated power of the photovoltaic device in the first time period.
[00110] Upon determining that the first time period is the power-rationing period, the power forecasting device may determine the power corresponding to the irradiance of the target
region in the first time period as the actual generated power of the photovoltaic device in the first time period. Therefore, the accuracy of determining the actual generated power of the photovoltaic device in the first time period is ensured.
[00111] Alternatively, upon failing to acquire the power of the inverter in the first time period, the power forecasting device may use the power corresponding to the irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
[00112] In this embodiment of the present disclosure, the power forecasting device may fail to acquire the actual generated power of the photovoltaic device from the boost device because of a network between the power forecasting device and the boost device. In this case, the power forecasting device may further acquire the actual generated power from the inverter. Even in the case that the actual generated power from the inverter fails to be acquired, the power forecasting device may further determine the power corresponding to the irradiance of the target region as the actual generated power. Therefore, the reliability of acquiring the actual generated power of the photovoltaic device is improved effectively.
[00113] Optionally, referring to FIG. 6, a process in which the power forecasting device acquires the irradiance of the target region in the first time period may include the following steps.
[00114] In step 40361, whether the actual meteorological data in the first time period includes irradiance is detected.
[00115] The power forecasting device may detect whether the acquired actual meteorological data in the first time period includes the irradiance. In the case that the acquired actual meteorological data in the first time period includes the irradiance, the power forecasting device may perform step 40362; or in the case that the acquired actual meteorological data in the first time period does not include irradiance, the power forecasting device may perform step 40363.
[00116] In this embodiment of the present disclosure, the irradiance in the actual meteorological data in the first time period may be a mean value of irradiances in the plurality of sub-periods of the first time period, or may be irradiance in any one of the sub-periods of the first time period. Irradiance in each of the sub-periods may be a mean value of irradiances in one or more of the plurality of moments of the sub-period.
[00117] Optionally, when the irradiance in the actual meteorological data in the first time period is the mean value of the irradiances in the plurality of sub-periods of the first time period, in the case that the quantity of irradiance, in the sub-periods, acquired by the power forecasting device is greater than or equal to a third value, the power forecasting device may determine that
the actual meteorological data in the first time period includes the irradiance; or in the case that the quantity of irradiance, in the sub-periods, acquired by the power detection device is less than the third value, the power forecasting device may determine that the actual meteorological data in the first time period does not include irradiance. The third value may be a fixed value pre stored in the power forecasting device.
[00118] In step 40362, power corresponding to the irradiance in the actual meteorological data in the first time period is determined as the actual generated power of the photovoltaic device.
[00119] The power forecasting device may pre-store a corresponding relationship between irradiance and power. Upon determining that the actual meteorological data in the first time period includes the irradiance, the power forecasting device may determine the power corresponding to the irradiance in the actual meteorological data in the first time period from the corresponding relationship between irradiance and power, and use the power corresponding to the irradiance in the actual meteorological data in the first time period as the actual generated power of the photovoltaic device.
[00120] In step 40363, whether actual meteorological data of the target region in a third period includes irradiance is detected.
[00121] Upon determining that the actual meteorological data in the first time period does not include irradiance, the power forecasting device may detect whether the actual meteorological data of the target region in the third period includes the irradiance. In the case that the acquired actual meteorological data in the third period includes the irradiance, the power forecasting device may perform step 40364; or in the case that the acquired actual meteorological data in the third period does not include irradiance, the power forecasting device may perform step 40365, wherein the third period is before the first time period.
[00122] In step 40364, power corresponding to the irradiance in the actual meteorological data of the target region in the third period is determined as the actual generated power of the photovoltaic device.
[00123] Upon determining that the actual meteorological data in the third period includes the irradiance, the power forecasting device may determine the power corresponding to the irradiance in the actual meteorological data in the third period from the corresponding relationship between the irradiance and the power, and use the power corresponding to the irradiance in the actual meteorological data in the third period as the actual generated power of the photovoltaic device.
[00124] In step 40365, power corresponding to irradiance in forecasted meteorological data of the target region in the first time period is determined as the actual generated power of the photovoltaic device.
[00125] Upon determining that the actual meteorological data in the third period does not include irradiance, the power forecasting device may determine the power corresponding to the irradiance in the forecasted meteorological data of the target region in the first time period from the corresponding relationship between irradiance and power, and determine the power corresponding to the irradiance in the forecasted meteorological data of the target region in the first time period as the actual generated power of the photovoltaic device.
[00126] In step 404, the power forecasting device acquires forecasted generated power of the photovoltaic device in the second time period by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using the power forecasting model.
[00127] Upon acquiring the actual generated power, the actual meteorological data, and the forecasted meteorological data, the power forecasting device may input these pieces of data into the power forecasting model to process these pieces of data by using the power forecasting model, and output the forecasted generated power of the photovoltaic device in the second time period.
[00128] Referring to FIG. 7, the power forecasting model may include a first sub-model A and a second sub-model B. A process in which the power forecasting model processes the actual generated power, the actual meteorological data, and the forecasted meteorological data includes the following steps: First, the first sub-model A may process the actual meteorological data and the forecasted meteorological data to acquire intermediate meteorological data, and then input the intermediate meteorological data into the second sub-model B. The second sub-model B processes the intermediate meteorological data and the actual generated power, thereby outputting the forecasted generated power in the second time period. The quantity of the forecasted generated power in the second time period may be T/t. T denotes duration of the second time period t denotes duration of the first time period. In other words, there is forecasted generated power in every duration t of the first time period in the second time period.
[00129] For example, the second time period is 60 minutes; and the first time period is 15 minutes. In this case, the quantity of the forecasted generated power in the second time period is 60/15, namely, 4.
[00130] In step 405, the power forecasting device sends the forecasted generated power. [00131] Upon acquiring the forecasted generated power in the second time period, the power forecasting device may send the forecasted generated power to a power dispatching
device, such that the power dispatching device performs power dispatch in the second time period based on the forecasted generated power in the second time period. Therefore, safe running of a power grid is ensured.
[00132] In step 406, the power forecasting device sends the actual generated power of the photovoltaic device in the first time period, actual generated power of the photovoltaic device in the second time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period to a cloud device.
[00133] Upon determining the actual generated power in the second time period, the power forecasting device may send the actual generated power of the photovoltaic device in the first time period, the actual generated power of the photovoltaic device in the second time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period to the cloud device.
[00134] In step 407, the cloud device updates the power forecasting model based on the actual generated powers, the actual meteorological data, and the forecasted meteorological data. [00135] Upon receiving the actual generated power of the photovoltaic device in the first time period, the actual generated power of the photovoltaic device in the second time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period which are sent by the power forecasting device, the cloud device may update the power forecasting model based on the actual generated power of the photovoltaic device in the first time period, the actual generated power of the photovoltaic device in the second time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period. Then, the cloud device may send an updated power forecasting model to the power forecasting device. Therefore, the accuracy of generated power forecasting by the power forecasting device for the photovoltaic device is improved.
[00136] In this embodiment of the present disclosure, referring to FIG. 8, the photovoltaic power station further includes a first information management device 61, a second information management device 62, a first production management device 71, a second production management device 72, a first isolation device 81, a second isolation device 82, a first non- controlled production device 91, a second non-controlled production device 92, a first controlled production device 101, a second controlled production device 102, a first encryption device 111, and a second encryption device 112.
[00137] The cloud device 20 is connected to the first information management device 61 and the second information management device 61 over a network. The first information
management device 61 is further connected to the second information management device 62 and the first production management device 71. The second information management device 62 is further connected to the second production management device 72. The second production management device 72 is further connected to the first production management device 71 and the second isolation device 82. The first production management device 71 is further connected to the first isolation device 82. The first isolation device 82 is further connected to the first non- controlled production device 91. The first non -controlled production device 91 is connected to the second non-controlled production device 92 via the second encryption device 112. The first non-controlled production device 91 is further connected to the first controlled production device 101. The second non-controlled production device 92 is further connected to the second isolation device 82 and the second controlled production device 102 separately. The second controlled production device 102 is further connected to the first controlled production device 101 via the first encryption device 111.
[00138] Firewalls are disposed between the first information management device 61 and the cloud device 20, between the second information management device 62 and the cloud device 20, between the first information management device 61 and the first production management device 71, between the second information management device 62 and the second production management device 72, between the first non-controlled production device 91 and the first controlled production device 101, and between the second non-controlled production device 92 and the first controlled production device 102. The first encryption device 111 is configured to encrypt data transmitted between the first controlled production device 101 and the second controlled production device 102. The second encryption device 112 is configured to encrypt data transmitted between the first non-controlled production device 91 and the second non- controlled production device 92.
[00139] In this embodiment of the present disclosure, the power forecasting model transmitted by the cloud device may be transmitted to the power forecasting device 10 via the first information management device 61, the first production management device 71, the first isolation device 81, the first non-controlled production device 91, and the first controlled production device 101 in sequence. Alternatively, the power forecasting model transmitted by the cloud device may be transmitted to the power forecasting device 10 via the second information management device 62, the second production management device 72, the second isolation device 82, the second non-controlled production device 92, and the second controlled production device 102 in sequence. In this embodiment of the present disclosure, generated power of the photovoltaic device is forecasted using the power forecasting model instead of the cloud device. Therefore, the following problem is avoided: The cloud device needs to send
forecasted generated power to the power forecasting device by using the plurality of devices shown in FIG. 9, and then, the power forecasting device transmits the forecasted generated power to the power dispatching device, which reduces the efficiency of sending the forecasted generated power to the power dispatching device. Thus, the efficiency of sending the forecasted generated power to the power dispatching device is improved.
[00140] It should be noted that, the order of the steps of the method for forecasting the generated power of the photovoltaic power station in this embodiment of the present disclosure may be appropriately adjusted. The steps may also be canceled as required. For example, steps 406 and 407 may be canceled as required; or steps 4034 and 4035 may be canceled as required. In other words, step 4036 may be performed directly when the power forecasting device fails to acquire the power of the boost device in the first time period. Alternatively, step 4031 may be canceled as required. In other words, the power forecasting device may directly acquire the power of the boost device in the first time period. Alternatively, steps 40363 and 40364 may be canceled as required. In other words, upon detecting that the actual meteorological data in the first time period does not include irradiance, the power forecasting device may directly use the power corresponding to the irradiance in the forecasted meteorological data of the target region in the first time period as the actual generated power of the photovoltaic device. Any variation method readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, details are not described herein again.
[00141] In summary, this embodiment of the present disclosure provides a method for forecasting generated power of a photovoltaic power station. The power forecasting device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[00142] In addition, because the power forecasting model is provided by the cloud device, the power forecasting device does not need to train the power forecasting model, thereby reducing a calculation amount of the power forecasting device, and further lowering a requirement on calculation performance of the power forecasting device. Upon determining the forecasted generated power, the power forecasting device may directly send the forecasted generated power to the power dispatching device. Therefore, compared with a fashion of sending the forecasted generated power to the power dispatching device by the power forecasting device upon calculating the forecasted generated power by the cloud device, the method in this
embodiment of the present disclosure effectively improves the efficiency of sending the forecasted generated power to the power dispatching device.
[00143] FIG. 9 is a block diagram of a power forecasting device 10 for a photovoltaic power station according to an embodiment of the present disclosure. As shown in FIG. 9, the power forecasting device may include:
[00144] an acquiring module 1001, configured to acquire actual generated power of a photovoltaic device in a first time period, actual generated power of the photovoltaic device in a second time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second time period, wherein the second time period is after the first time period;
[00145] a processing module 1002, configured to acquire forecasted generated power of the photovoltaic device in the second time period by processing the actual generated powers, the actual meteorological data, and the forecasted meteorological data using a power forecasting model; and
[00146] a first sending module 1003, configured to send the forecasted generation power. [00147] In summary, this embodiment of the present disclosure provides a device for forecasting generated power of a photovoltaic power station. The device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[00148] In some embodiments, each of the actual meteorological data and the forecasted meteorological data includes irradiance; and the photovoltaic device includes a boost device and an inverter. Referring to FIG. 10, the acquiring module 1001 includes:
[00149] a first acquiring sub-module 10011, configured to determine acquired power of the boost device in the first time period as the actual generated power of the photovoltaic device in the first time period;
[00150] a second acquiring sub-module 10012 configured to: in the case that the power of the boost device in the first time period fails to be acquired, determine acquired power of the inverter in the first time period as the actual generated power of the photovoltaic device in the first time period; and
[00151] a third acquiring sub-module 10013, configured to: in the case that the power of the inverter in the first time period fails to be acquired, determine power corresponding to
irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
[00152] In some embodiments, each of the actual meteorological data and the forecasted meteorological data includes: irradiance. The acquiring module 1001 is configured to:
[00153] in the case that the first time period is a power-rationing period, determine power corresponding to irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
[00154] In some embodiments, the third acquiring sub-module 10013 is configured to: [00155] in the case that the actual meteorological data in the first time period includes irradiance, determine power corresponding to the irradiance in the actual meteorological data in the first time period as the actual generated power of the photovoltaic device;
[00156] in the case that the actual meteorological data in the first time period does not include irradiance, determine power corresponding to irradiance in actual meteorological data of the target region in a third period as the actual generated power of the photovoltaic device, wherein the third period is before the first time period; or
[00157] in the case that the actual meteorological data of the target region in the third period does not include irradiance, determine the power corresponding to the irradiance in the forecasted meteorological data of the target region in the first time period as the actual generated power of the photovoltaic device.
[00158] Referring to FIG. 11, the power forecasting device may further include:
[00159] a second sending module 1004, configured to send the actual generated power of the photovoltaic device in the first time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period to a cloud device, such that the cloud device updates the power forecasting model based on the actual generated power, the actual meteorological data, and the forecasted meteorological data.
[00160] In summary, this embodiment of the present disclosure provides a device for forecasting generated power of a photovoltaic power station. The device may acquire forecasted generated power of a photovoltaic device by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatching in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[00161] FIG. 12 is a block diagram of still another cloud device 20 according to an embodiment of the present disclosure. As shown in FIG. 12, the cloud device may include:
[00162] a training module 2001, configured to acquire a power forecasting model by training a plurality of pieces of sample data; and
[00163] a sending module 2002, configured to send the power forecasting model to a power forecasting device of a photovoltaic power station, wherein the photovoltaic power station includes a photovoltaic device; and the power forecasting device is configured to forecast generated power of the photovoltaic device using the power forecasting model.
[00164] Each of the pieces of sample data includes: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period.
[00165] In summary, this embodiment of the present disclosure provides a cloud device. The power forecasting device may acquire forecasted generated power of a photovoltaic device in a second time period by processing actual generated power, actual meteorological data, and forecasted meteorological data using a power forecasting model sent by a cloud device; and send the forecasted generated power to a power dispatching device. Thus, the power dispatching device performs power dispatch in advance based on the forecasted generated power, thereby ensuring safe running of a power grid.
[00166] An embodiment of the present disclosure provides a system for forecasting generated power of a photovoltaic power station. As shown in FIG. 1, FIG. 9, FIG. 10, FIG. 11, and FIG. 12, the system may include a power forecasting device 10 and a cloud device 20.
[00167] An embodiment of the present disclosure provides a non-transitory computer- readable storage medium. The computer-readable storage medium stores one or more instructions therein. The one or more instructions, when loaded and executed by a processor, cause the processor to perform the steps which are performed by the power forecasting device according to the above method embodiment (for example, the method embodiment shown in FIG. 2, FIG. 4, FIG. 5, or FIG. 6), or perform the steps which are performed by the cloud device according to the above method embodiment (for example, the method embodiment shown in FIG. 3 or FIG. 4).
[00168] An embodiment of the present disclosure provides a power forecasting device. The power forecasting device includes a memory, a processor, and a computer program stored in the memory. The processor, when loading and running the computer program, is caused to perform the steps which are performed by the power forecasting device according to the above
method embodiment (for example, the method embodiment shown in FIG. 2, FIG. 4, FIG. 5, or FIG. 6).
[00169] An embodiment of the present disclosure provides a cloud device. The cloud device includes a memory, a processor, and a computer program stored in the memory. The processor, when loading and running the computer program, is caused to perform the steps which are performed by the cloud device according to the above method embodiment (for example, the method embodiment shown in FIG. 3 or FIG. 4).
[00170] An embodiment of the present disclosure provides a computer program product including one or more instructions therein. The computer program product, when loaded and run on a computer, causes the computer to perform the steps which are performed by the power forecasting device according to the above method embodiment (for example, the method embodiment shown in FIG. 2, FIG. 4, FIG. 5, or FIG. 6), or perform steps which are executed by the cloud device according to the above method embodiment (for example, the method embodiment shown in FIG. 3 or FIG. 4).c
[00171] In the embodiments of the present disclosure, the terms "first," "second," and "third" are used only for descriptive purposes and cannot be construed as indicating or implying of relative importance. In the embodiments of the present disclosure, the term "at least one" means one or more. In the embodiments of the present disclosure, the term "a plurality of' means two or more.
[00172] The foregoing descriptions are merely optional embodiments of the present disclosure, but are not intended to limit the present disclosure. Any modification, equivalent replacement, improvement, or the like made without departing from the spirit and principle of the present disclosure shall fall within the protection scope of the present disclosure.
Claims
1. A method for forecasting generated power a photovoltaic power station, applicable to a power forecasting device in a photovoltaic power station, the photovoltaic power station further comprising a photovoltaic device, the method comprising: acquiring actual generated power of the photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in a second time period, wherein the second time period is after the first time period; acquiring forecasted power of the photovoltaic device in the second time period by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using a power forecasting model; and sending the forecasted generated power.
2. The method according to claim 1, wherein each of the actual meteorological data and the forecasted meteorological data comprises irradiance; the photovoltaic device comprises a boost device and an inverter; and acquiring the actual generated power of the photovoltaic device in the first time period comprises: determining acquired power of the boost device in the first time period as the actual generated power of the photovoltaic device in the first time period; in the case that the power of the boost device in the first time period fails to be acquired, determining acquired power of the inverter in the first time period as the actual generated power of the photovoltaic device in the first time period; or in the case that the power of the inverter in the first time period fails to be acquired, determining power corresponding to irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
3. The method according to claim 1, wherein each of the actual meteorological data and the forecasted meteorological data comprises irradiance; and acquiring the actual generated power of the photovoltaic device comprises:
in the case that the first time period is a power-rationing period, determining power corresponding to irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period.
4. The method according to claim 2 or 3, wherein determining the power corresponding to the irradiance of the target region in the first time period as the actual generated power of the photovoltaic device in the first time period comprises: in the case that the actual meteorological data in the first time period comprises irradiance, determining power corresponding to the irradiance in the actual meteorological data in the first time period as the actual generated power of the photovoltaic device; in the case that the actual meteorological data in the first time period does not comprise irradiance, determining power corresponding to irradiance in actual meteorological data of the target region in a third period as the actual generated power of the photovoltaic device, wherein the third period is before the first time period; or in the case that the actual meteorological data of the target region in the third period does not comprise irradiance, determining power corresponding to irradiance in forecasted meteorological data of the target region in the first time period as the actual generated power of the photovoltaic device.
5. The method according to any one of claims 1 to 3, further comprising: sending the actual generated power of the photovoltaic device in the first time period, actual generated power of the photovoltaic device in the second time period, the actual meteorological data of the target region in the first time period, and the forecasted meteorological data of the target region in the second time period to a cloud device, such that the cloud device updates the power forecasting model based on the actual generated power, the actual meteorological data, and the forecasted meteorological data.
6. A method for forecasting generated power of a photovoltaic power station, applicable to a cloud device, the method comprising: acquiring a power forecasting model by training a plurality of pieces of sample data; and sending the power forecasting model to a power forecasting device for a photovoltaic power station, wherein the photovoltaic power station comprises a photovoltaic device; and
the power forecasting device is configured to forecast generated power of the photovoltaic device using the power forecasting model; wherein each of the pieces of sample data comprises: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period.
7. A power forecasting device of a photovoltaic power station, the photovoltaic power station comprising a photovoltaic device, the power forecasting device comprising: an acquiring module, configured to acquire actual generated power of the photovoltaic device in a first time period, actual meteorological data, in the first time period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a meteorological source, of the target region in a second time period, wherein the second time period is after the first time period; a processing module, configured to acquire forecasted generated power of the photovoltaic device in the second time period by processing the actual generated power, the actual meteorological data, and the forecasted meteorological data using a power forecasting model; and a sending module, configured to send the forecasted generated power.
8. A cloud device, comprising: a training module, configured to acquire a power forecasting model by training a plurality of pieces of sample data; and a sending module, configured to send the power forecasting model to a power forecasting device of a photovoltaic power station, wherein the photovoltaic power station comprises a photovoltaic device, and the power forecasting device is configured to forecast generated power of the photovoltaic device using the power forecasting model; wherein each of the pieces of sample data comprises: actual generated power of the photovoltaic device in a first sample period, actual generated power of the photovoltaic device in a second sample period, actual meteorological data, in the first sample period, of a target region where the photovoltaic power station is deployed, and meteorological data, forecasted by a
meteorological source, of the target region in the second sample period, wherein the second sample period is after the first sample period.
9. A system for forecasting generated power of a photovoltaic power station, comprising: the power forecasting device of the photovoltaic power station as defined in claim 7 and the cloud device as defined in claim 8.
10. A non-transitory computer-readable storage medium, storing one or more instructions therein, wherein the one or more instructions, when loaded and executed by a processor, cause the processor to perform the method for forecasting the generated power of the to implement the photovoltaic power station as defined in any one of claims 1 to 6.
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| CN202110801379.6 | 2021-07-15 | ||
| CN202110801379.6A CN113570126A (en) | 2021-07-15 | 2021-07-15 | Method, device and system for predicting power generation power of photovoltaic power station |
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| CN117239745A (en) * | 2023-11-16 | 2023-12-15 | 北京弘象科技有限公司 | Photovoltaic power generation amount prediction method and device, electronic equipment and storage medium |
| CN117713039A (en) * | 2023-11-01 | 2024-03-15 | 宁夏青铜峡市华能雷避窑光伏发电有限公司 | Power plant power generation control method based on regional new energy power generation prediction |
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| CN116933950B (en) * | 2023-09-19 | 2024-01-16 | 国能日新科技股份有限公司 | Transmission method, device, equipment and storage medium of power prediction data |
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