Whole-station photovoltaic power generation efficiency early warning method, system and equipment and storage medium

Abstract

The invention provides a whole-station photovoltaic power generation efficiency early warning method, system and device and a medium, and belongs to the technical field of photovoltaic power generation monitoring, and the method comprises the steps: obtaining whole-station on-grid power data and whole-station actual power generation data from a preset database according to an early warning instruction and a preset time interval; calculating the internet surfing efficiency according to the whole-station internet surfing electric quantity data and the whole-station actual generating capacity data; calculating a performance ratio according to the actual generating capacity data of the whole station and the theoretical electric quantity value; comparing the internet surfing efficiency with a preset internet surfing efficiency threshold value; comparing the performance ratio with a preset performance ratio threshold value; when the internet surfing efficiency is smaller than a preset internet surfing efficiency threshold value and the performance ratio is smaller than a performance ratio threshold value, early warning information of insufficient photovoltaic power generation efficiency is generated, data can be monitored and analyzed in real time, the problem of insufficient photovoltaic power generation efficiency of the whole station can be found in time, the problem is solved in time, and the operation stability of the power station is improved; manual judgment is not needed, and the automation level is high.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power generation monitoring, and in particular relates to a method, system, equipment and storage medium for early warning of photovoltaic power generation efficiency of the entire station. Background Art

[0002] Photovoltaic power generation refers to a technology that uses the photovoltaic effect of semiconductor interfaces to directly convert light energy into electrical energy. It is mainly composed of three parts: solar panels (modules), controllers and inverters, and the main components are composed of electronic components. After solar cells are connected in series and packaged for protection, they can form large-area solar cell modules, which are then combined with power controllers and other components to form photovoltaic power generation equipment.

[0003] Photovoltaic power generation efficiency is an important indicator for evaluating the level of photovoltaic power generation. When the photovoltaic power generation efficiency is insufficient, it may affect the normal operation of electrical equipment. Generally, after the photovoltaic power generation efficiency is insufficient for a certain period of time, the problem of insufficient photovoltaic power generation efficiency can be discovered by observing the working conditions of electrical equipment. There is a certain lag, and manual inspection is required to determine whether the abnormal operation of electrical equipment is caused by insufficient photovoltaic power generation efficiency. The degree of automation is low.

[0004] In summary, there is currently a lack of an effective solution that can promptly detect insufficient photovoltaic power generation efficiency and provide timely prompts. Summary of the invention

[0005] Based on the above existing status quo of insufficient photovoltaic power generation efficiency, the present invention provides a method, system, device and medium for early warning of photovoltaic power generation efficiency of the entire station, so as to overcome at least one technical problem existing in the prior art.

[0006] To achieve the above object, the present invention provides a method for early warning of photovoltaic power generation efficiency of the entire station, comprising:

[0007] Generate an early warning instruction based on the information obtained that the total station power generation is higher than the preset value of the installed capacity;

[0008] According to the warning instruction, at preset time intervals, the data of the online power consumption of the whole station and the actual power generation data of the whole station are obtained from the preset database;

[0009] Calculating the online efficiency based on the online power data of the entire station and the actual power generation data of the entire station; and calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value;

[0010] Comparing the Internet access efficiency with a preset Internet access efficiency threshold; and comparing the performance ratio with a preset performance ratio threshold;

[0011] Determine whether to issue a warning based on the comparison result; wherein, when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generate a warning message of insufficient photovoltaic power generation efficiency for the entire station.

[0012] In order to solve the above problems, the present invention also provides a photovoltaic power generation efficiency early warning system for the entire station, the system comprising:

[0013] An early warning instruction generation module is used to generate an early warning instruction according to the information obtained that the power generation power of the entire station is higher than the preset value of the installed capacity;

[0014] A data acquisition module is used to acquire the online power data of the entire station and the actual power generation data of the entire station from a preset database according to the early warning instruction and at preset time intervals;

[0015] A calculation module, used to calculate the online efficiency according to the online power data of the whole station and the actual power generation data of the whole station; and to calculate the performance ratio according to the actual power generation data of the whole station and the theoretical power value;

[0016] A comparison module, configured to compare the Internet access efficiency with a preset Internet access efficiency threshold; and to compare the performance ratio with a preset performance ratio threshold;

[0017] The early warning judgment module is used to determine whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, an early warning message of insufficient photovoltaic power generation efficiency of the entire station is generated.

[0018] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0019] at least one processor; and,

[0020] a memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps in the whole-station photovoltaic power generation efficiency early warning method as described above.

[0022] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. When the at least one instruction is executed by a processor in an electronic device, the above-mentioned whole-station photovoltaic power generation efficiency early warning method is implemented.

[0023] The present invention provides a method, system, device and medium for early warning of photovoltaic power generation efficiency of the whole station. According to the early warning instruction and at a preset time interval, the data of online power consumption of the whole station and the actual power generation data of the whole station are obtained from a preset database; the online power efficiency is then calculated according to the online power consumption data of the whole station and the actual power generation data of the whole station; and the performance ratio is calculated according to the actual power generation data of the whole station and the theoretical power value; the online power efficiency is then compared with a preset online power efficiency threshold; and the performance ratio is compared with a preset performance ratio threshold; when the online power efficiency is less than the preset online power efficiency threshold and the performance ratio is less than the performance ratio threshold, early warning information of insufficient photovoltaic power generation efficiency is generated, and data can be monitored and analyzed in real time to facilitate timely discovery of the problem of insufficient photovoltaic power generation efficiency of the whole station, thereby solving the problem in time and improving the operational stability of the power station; no manual judgment is required, and the automation level is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 A schematic diagram of a process flow of a method for early warning of photovoltaic power generation efficiency of a whole station provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of the modules of a photovoltaic power generation efficiency early warning system for the entire station provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of the internal structure of an electronic device for implementing a method for early warning of photovoltaic power generation efficiency of a whole station provided by an embodiment of the present invention.

[0028] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0029] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0030] Based on the above-mentioned problems existing in the prior art, the present invention mainly provides a method, system, equipment and medium for early warning of photovoltaic power generation efficiency of the entire station. Its main purpose is to solve the problem in the prior art that there is a lack of an effective solution that can timely detect insufficient photovoltaic power generation efficiency and give timely prompts.

[0031] Figure 1A schematic diagram of a process flow of a method for early warning of photovoltaic power generation efficiency of a whole station provided by an embodiment of the present invention. The method can be executed by a system, which can be implemented by software and / or hardware.

[0032] Figure 1 The early warning method of photovoltaic power generation efficiency of the whole station is described as a whole. Figure 1 As shown, in this embodiment, the whole-station photovoltaic power generation efficiency early warning method includes steps S110 to S150.

[0033] Step S110: Generate an early warning instruction according to the information obtained that the total station power generation is higher than the preset value of the installed capacity.

[0034] Specifically, an early warning instruction is generated only when the power generation of the entire station is higher than the preset value of the installed capacity. The preset value can be determined based on actual experience. For example, when the power generation of the entire station is higher than 70% of the installed capacity, an early warning instruction is generated, thereby excluding the situation of early warning on cloudy days to ensure the effectiveness of the early warning scenario.

[0035] Step S120: According to the early warning instruction, at preset time intervals, the data of the online power consumption of the entire station and the actual power generation data of the entire station are obtained from the preset database.

[0036] Specifically, when the processor obtains the early warning instruction, it obtains the data of the online power consumption of the entire station and the actual power generation data of the entire station from the preset database according to the preset time interval. The time interval can be set according to actual needs, for example, 5 minutes, 10 minutes, 15 minutes, one day, two days, one week, half a month, etc., and the present invention does not make any special limitations on this. The preset database is used to store historical data such as the online power consumption of the entire station and the actual power generation of the entire station. The data of the online power consumption of the entire station and the actual power generation of the entire station are collected in real time, and the above data collected in real time are stored in the preset database. When the early warning instruction is received, the above data in the preset database is used as the basis for calculating and analyzing whether an early warning is needed.

[0037] Step S130, calculating the online efficiency according to the online power data of the whole station and the actual power generation data of the whole station; and calculating the performance ratio according to the actual power generation data of the whole station and the theoretical power value.

[0038] Specifically, the online efficiency is calculated based on the online power data of the entire station and the actual power generation data of the entire station obtained from the preset database, and the performance ratio is calculated based on the actual power generation data of the entire station and the theoretical power value. Among them, the theoretical power value = solar radiation × photovoltaic panel area × photovoltaic panel efficiency × system installed capacity, and the theoretical power value can be calculated in advance through the above formula.

[0039] That is, the theoretical power generation of photovoltaics is generally based on the following factors:

[0040] Solar radiation: The amount of solar radiation received by photovoltaic panels is the basis for calculating power generation. Solar radiation is usually expressed in kilowatt-hours / square meter / day (kWh / m 2 / day) or Megajoules / square meter / day (MJ / m 2 The solar radiation data of the area can be obtained through meteorological data, solar radiation measuring instruments or related solar resource assessment tools.

[0041] Efficiency of PV panels: The efficiency of a PV panel indicates its ability to convert solar energy into electrical energy. Different types and models of PV panels have different efficiencies. Typically, the efficiency of PV panels ranges from 15% to 25%.

[0042] Installed capacity of a PV system: Installed capacity refers to the total power of PV panels, usually measured in kilowatts (kW).

[0043] For example, assuming that the solar radiation in a certain area is 5 kWh / m2 / day, the area of ​​the photovoltaic panel is 10 m2, the efficiency is 20%, and the system installed capacity is 5 kW, then the theoretical power generation is:

[0044] Theoretical power generation = 5kWh / m 2 / day×10m 2 ×0.2×5kW=50kWh / day.

[0045] It should be noted that the theoretical power value in the present invention is only a theoretical calculation value, and the actual power generation will be affected by many factors, such as weather conditions, temperature, shadows, dust, aging of photovoltaic panels, etc. In addition, system losses, such as inverter efficiency, cable losses, etc., need to be considered. Therefore, the actual power generation is usually lower than the theoretical power generation. In practical applications, professional photovoltaic system design software or online tools can be used to more accurately calculate the theoretical power generation value of photovoltaics, and adjust and optimize according to actual conditions.

[0046] As an optional embodiment of the present invention, the online power data of the entire station is the sum of the online power data of all photovoltaic power generation equipment in the entire station collected by the electric energy collection device.

[0047] Specifically, the online power data of the corresponding device can be collected by the electric energy collection device on each photovoltaic device, and then the online power data of all devices are added and calculated to obtain the online power data of the entire station. The electric energy collection device is a bidirectional electric energy metering device, such as a bidirectional electric energy meter, etc., as long as it can collect the online power data of the photovoltaic power generation equipment in real time, and the present invention does not make any special limitation on this.

[0048] As an optional embodiment of the present invention, the actual power generation data of the entire station is the sum of the actual power generation data of all photovoltaic power generation equipment in the entire station collected by the photovoltaic inverter.

[0049] Specifically, the actual power generation data of all photovoltaic power generation equipment in the entire station can be obtained through the photovoltaic inverter of the photovoltaic power generation equipment, and then the actual power generation data of all photovoltaic power generation equipment in the entire station are added together to obtain the actual power generation data of the entire station.

[0050] As an optional embodiment of the present invention, a method for calculating the online efficiency based on the online power data of the entire station and the actual power generation data of the entire station includes:

[0051] The data of the total on-grid electricity consumption and the actual power generation of the whole station are input into the preset on-grid efficiency calculation model, and the on-grid efficiency is calculated by the on-grid efficiency calculation formula stored in the preset on-grid efficiency calculation model; wherein,

[0052] The calculation formula for Internet access efficiency is:

[0053] Internet access efficiency = total site Internet access data / total site actual power generation data * 100%.

[0054] Specifically, the grid-connected power data of the entire station and the actual power generation data of the entire station are input into a preset grid-connected efficiency calculation model, and the grid-connected efficiency calculation formula stored in the model is used to calculate the grid-connected efficiency.

[0055] As an optional embodiment of the present invention, a method for calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value includes:

[0056] The actual power generation data of the entire station and the theoretical power value are input into the preset performance ratio calculation model, and the performance ratio is calculated by the performance ratio calculation formula stored in the preset performance ratio calculation model; wherein,

[0057] The performance ratio calculation formula is:

[0058] Performance ratio = actual power generation data of the entire station / theoretical power value*100%.

[0059] Specifically, the actual power generation data of the entire station and the theoretical power value are input into a preset performance ratio calculation model, and the performance ratio is calculated using a performance ratio calculation formula pre-stored in the model.

[0060] Step S140: compare the Internet access efficiency with a preset Internet access efficiency threshold; and compare the performance ratio with a preset performance ratio threshold.

[0061] Specifically, the Internet access efficiency is compared with the preset Internet access efficiency threshold, and the performance ratio is compared with the preset performance ratio threshold. The preset Internet access efficiency threshold and the preset performance ratio threshold are both set based on actual experience. The preset Internet access efficiency threshold is preferably, but not limited to, 95%; the preset performance ratio threshold is preferably, but not limited to, 85%.

[0062] Step S150, determining whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than a preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generating early warning information of insufficient photovoltaic power generation efficiency of the entire station.

[0063] Specifically, when the online efficiency is less than the preset online efficiency threshold, and the performance ratio is less than the performance ratio threshold, it means that the photovoltaic power generation efficiency of the entire station is insufficient. Based on this, an early warning information of insufficient photovoltaic power generation efficiency is generated. The early warning information may include relevant data such as the level of the early warning and the time of occurrence. Among them, the level of the early warning can be obtained according to the difference between the online efficiency and the preset online efficiency threshold, the difference between the performance ratio and the performance ratio threshold, and the preset early warning level table. Specifically, the difference between the online efficiency and the preset online efficiency threshold is used as the online efficiency difference; the difference between the performance ratio and the performance ratio threshold is used as the performance difference, and the target online efficiency difference and the target performance difference are compared with the online efficiency difference and the performance difference recorded in the early warning level table to determine the target online efficiency difference and the target performance difference, and then the early warning level corresponding to the target online efficiency difference and the target performance difference is found from the early warning level table and added to the early warning information.

[0064] As an optional embodiment of the present invention, after generating the early warning information of insufficient photovoltaic power generation efficiency, the method further includes:

[0065] The early warning information of insufficient photovoltaic power generation efficiency is sent to a preset mobile terminal in a preset manner.

[0066] Specifically, by pre-binding the early warning system with the mobile terminals such as mobile phones and tablets of the operation and maintenance personnel, early warning information of insufficient photovoltaic power generation efficiency can be sent to the operation and maintenance personnel in a timely manner to remind the operation and maintenance personnel to deal with it in time. At the same time, the early warning information should also be displayed in a striking manner on the monitoring interface of the data processing center, including the warning level, occurrence time, related data, etc.

[0067] As an optional embodiment of the present invention, the preset method includes any one or at least two of SMS, email, and mobile phone application push.

[0068] Specifically, early warning information on insufficient photovoltaic power generation efficiency is sent to operation and maintenance personnel in one or more combined ways to ensure timely communication of the information.

[0069] After receiving the early warning signal, the operation and maintenance personnel will take timely measures to conduct investigation and maintenance. The reasons for the insufficient power generation efficiency can be found by checking the monitoring data, checking the equipment operation status, analyzing environmental factors, etc. According to the investigation results, appropriate measures are taken to repair and optimize, such as cleaning the photovoltaic panels, checking the equipment connection, adjusting the equipment parameters, etc.

[0070] It can also store early warning information records to analyze the recorded data of historical early warning information and summarize the reasons and patterns of insufficient power generation efficiency. According to the analysis results, the operation strategy of the photovoltaic power station is optimized, such as adjusting the maintenance plan, improving the equipment control algorithm, optimizing energy management, etc., to improve the power generation efficiency and stability of the photovoltaic power station. Through the above implementation methods, the problem of insufficient power generation efficiency can be discovered in time, and the operation management level and power generation efficiency of the photovoltaic power station can be improved.

[0071] like Figure 2 As shown, the present invention provides a whole-station photovoltaic power generation efficiency early warning system 200, which can be installed in an electronic device. According to the functions to be implemented, the whole-station photovoltaic power generation efficiency early warning system 200 can include: an early warning instruction generation module 210, a data acquisition module 220, a calculation module 230, a comparison module 240 and an early warning judgment module 250. The unit of the present invention can also be called a module, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0072] In this embodiment, the functions of each module / unit are as follows:

[0073] The warning instruction generating module 210 is used to generate a warning instruction according to the information obtained that the total station power generation is higher than the preset value of the installed capacity;

[0074] The data acquisition module 220 is used to acquire the online power data of the entire station and the actual power generation data of the entire station from a preset database according to the warning instruction and at preset time intervals;

[0075] The calculation module 230 is used to calculate the online efficiency according to the online power data of the whole station and the actual power generation data of the whole station; and calculate the performance ratio according to the actual power generation data of the whole station and the theoretical power value;

[0076] A comparison module 240, configured to compare the Internet access efficiency with a preset Internet access efficiency threshold; and to compare the performance ratio with a preset performance ratio threshold;

[0077] The early warning judgment module 250 is used to determine whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, an early warning message of insufficient photovoltaic power generation efficiency of the entire station is generated.

[0078] The whole-station photovoltaic power generation efficiency early warning system 200 of the present invention obtains the whole-station online power data and the whole-station actual power generation data from a preset database according to the early warning instruction and the preset time interval; then calculates the online efficiency according to the whole-station online power data and the whole-station actual power generation data; and calculates the performance ratio according to the whole-station actual power generation data and the theoretical power value; then compares the online efficiency with the preset online efficiency threshold; and compares the performance ratio with the preset performance ratio threshold; when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generates early warning information of insufficient photovoltaic power generation efficiency, can monitor and analyze data in real time, so as to timely discover the problem of insufficient photovoltaic power generation efficiency, thereby solving the problem in time and improving the operating stability of the power station; no manual judgment is required, and the automation level is high.

[0079] like Figure 3 As shown, the present invention provides an electronic device 3 for a method for early warning of photovoltaic power generation efficiency of the entire station.

[0080] The electronic device 3 may include a processor 30, a memory 31 and a bus, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a full-station photovoltaic power generation efficiency early warning program 32. The memory 31 may also include both an internal storage unit of the full-station photovoltaic power generation efficiency early warning system and an external storage device. The memory 31 may be used not only to store the code installed in the application software and various data, such as the full-station photovoltaic power generation efficiency early warning program, but also to temporarily store data that has been output or is to be output.

[0081] Among them, the memory 31 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 31 may be an internal storage unit of the electronic device 3 in some embodiments, such as a mobile hard disk of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 3. Further, the memory 31 may also include both an internal storage unit of the electronic device 3 and an external storage device. The memory 31 can not only be used to store application software and various types of data installed in the electronic device 3, such as the whole station photovoltaic power generation efficiency early warning method code, etc., but also be used to temporarily store data that has been output or is to be output.

[0082] The processor 30 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 30 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as a photovoltaic power generation efficiency warning program for the entire station, etc.) stored in the memory 31, and calls data stored in the memory 31 to execute various functions of the electronic device 3 and process data.

[0083] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 31 and at least one processor 30, etc.

[0084] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 3, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0085] For example, although not shown, the electronic device 3 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 30 through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device 3 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0086] Furthermore, the electronic device 3 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 3 and other electronic devices.

[0087] Optionally, the electronic device 3 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 3 and to display a visual user interface.

[0088] It should be understood that the embodiments are for illustration purposes only and the scope of the invention application is not limited by this structure.

[0089] The whole-station photovoltaic power generation efficiency early warning program 32 stored in the memory 31 in the electronic device 3 is a combination of multiple instructions. When running in the processor 30, it can achieve:

[0090] Step S110, generating an early warning instruction according to the information obtained that the total station power generation is higher than the preset value of the installed capacity;

[0091] Step S120: According to the early warning instruction, at a preset time interval, the data of the online power consumption of the entire station and the actual power generation data of the entire station are obtained from the preset database;

[0092] Step S130, calculating the online efficiency based on the online power data of the entire station and the actual power generation data of the entire station; and calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value;

[0093] Step S140, comparing the Internet access efficiency with a preset Internet access efficiency threshold; and comparing the performance ratio with a preset performance ratio threshold;

[0094] Step S150, determining whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than a preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generating early warning information of insufficient photovoltaic power generation efficiency of the entire station.

[0095] Specifically, the specific implementation method of the processor 30 for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0096] Furthermore, if the module / unit integrated in the electronic device 3 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0097] An embodiment of the present invention further provides a computer-readable storage medium, which may be non-volatile or volatile, and stores a computer program, which, when executed by a processor, implements:

[0098] Step S110, generating an early warning instruction according to the information obtained that the total station power generation is higher than the preset value of the installed capacity;

[0099] Step S120: According to the early warning instruction, at a preset time interval, the data of the online power consumption of the entire station and the actual power generation data of the entire station are obtained from the preset database;

[0100] Step S130, calculating the online efficiency based on the online power data of the entire station and the actual power generation data of the entire station; and calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value;

[0101] Step S140, comparing the Internet access efficiency with a preset Internet access efficiency threshold; and comparing the performance ratio with a preset performance ratio threshold;

[0102] Step S150, determining whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than a preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generating early warning information of insufficient photovoltaic power generation efficiency of the entire station.

[0103] Specifically, the specific implementation method when the computer program is executed by the processor can refer to the description of the relevant steps in the whole-station photovoltaic power generation efficiency early warning method in the embodiment, which will not be repeated here.

[0104] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0105] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0107] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0108] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0109] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. Secondary words are used to indicate names, but not to indicate any particular order.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for early warning of photovoltaic power generation efficiency of the entire station, characterized in that: The steps include: Generate an early warning instruction based on the information obtained that the total station power generation is higher than the preset value of the installed capacity; According to the warning instruction, at preset time intervals, the data of the online power consumption of the whole station and the actual power generation data of the whole station are obtained from the preset database; Calculating the online efficiency based on the online power data of the entire station and the actual power generation data of the entire station; and calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value; Comparing the Internet access efficiency with a preset Internet access efficiency threshold; and, comparing the performance ratio with a preset performance ratio threshold; Determine whether to issue a warning based on the comparison result; wherein, when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, generate a warning message of insufficient photovoltaic power generation efficiency for the entire station.

2. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 1, characterized in that: The online power data of the entire station is the sum of the online power data of all photovoltaic power generation equipment in the entire station collected by the electric energy collection device.

3. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 1, characterized in that: The actual power generation data of the entire station is the sum of the actual power generation data of all photovoltaic power generation equipment in the entire station collected through the photovoltaic inverter.

4. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 1, characterized in that: The method for calculating the online efficiency according to the online power data of the entire station and the actual power generation data of the entire station includes: The whole-station online power data and the whole-station actual power generation data are input into a preset online efficiency calculation model, and the online efficiency is calculated by the online efficiency calculation formula stored in the preset online efficiency calculation model; wherein, The Internet access efficiency calculation formula is: Internet access efficiency = total site Internet access data / total site actual power generation data * 100%.

5. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 1, characterized in that: The method for calculating the performance ratio based on the actual power generation data of the entire station and the theoretical power value includes: The actual power generation data of the entire station and the theoretical power value are input into a preset performance ratio calculation model, and the performance ratio is calculated by the performance ratio calculation formula stored in the preset performance ratio calculation model; wherein, The performance ratio calculation formula is: Performance ratio = actual power generation data of the entire station / theoretical power value*100%.

6. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 1, characterized in that: After generating the early warning information of insufficient photovoltaic power generation efficiency, it also includes: The early warning information of insufficient photovoltaic power generation efficiency is sent to a preset mobile terminal in a preset manner.

7. The method for early warning of photovoltaic power generation efficiency of the entire station according to claim 6, characterized in that: The preset method includes any one or at least two of SMS, email, and mobile phone application push.

8. A photovoltaic power generation efficiency early warning system for the entire station, characterized in that: The system comprises: An early warning instruction generation module is used to generate an early warning instruction according to the information obtained that the power generation power of the entire station is higher than the preset value of the installed capacity; A data acquisition module is used to obtain the online power data of the whole station and the actual power generation data of the whole station from a preset database according to the early warning instruction and at preset time intervals; A calculation module, used to calculate the online efficiency according to the online power data of the whole station and the actual power generation data of the whole station; and to calculate the performance ratio according to the actual power generation data of the whole station and the theoretical power value; A comparison module, configured to compare the Internet access efficiency with a preset Internet access efficiency threshold; and to compare the performance ratio with a preset performance ratio threshold; The early warning judgment module is used to determine whether to issue an early warning based on the comparison result; wherein, when the online efficiency is less than the preset online efficiency threshold and the performance ratio is less than the performance ratio threshold, an early warning message of insufficient photovoltaic power generation efficiency of the entire station is generated.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps in the full-station photovoltaic power generation efficiency early warning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing at least one instruction, characterized in that: When the at least one instruction is executed by a processor in the electronic device, the whole-station photovoltaic power generation efficiency early warning method as described in any one of claims 1 to 7 is implemented.

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