Wind turbine power generation LCOE indicator prediction method and device

Abstract

The present invention discloses a method and device for predicting the LCOE index of wind turbine power generation. The method comprises: obtaining LCOE index data of a single wind turbine existing in a wind farm; determining the K-line of the wind turbine existing in the wind farm based on the LCOE index data of the single wind turbine; and generating wind turbine power generation LCOE index prediction data based on the K-line of the wind turbine existing in the wind farm. This method overcomes the problems faced by the prior art in calculating economic evaluation index data of a single wind turbine, such as a shortage of reference standards, and the failure and distortion of some reference standards in specific scenarios. The method summarizes and evaluates existing economic indicators to adapt them to a wider range of application scenarios, predicts and tests new evaluation indicators, and enriches the test system of the economic evaluation indicators of a group of wind turbines.

Description

Technical Field

[0001] The present invention relates to electric power technology, and in particular to a method and device for predicting the LCOE index of wind turbine power generation. Background Art

[0002] LCOE (Levelized Cost of Energy) is a quantitative indicator. After discounting the costs and power generation during the project life cycle at a certain discount rate, the power generation cost is calculated, that is, the present value of total costs during the project life cycle / the present value of total power generation. It is usually compared with the electricity price and has certain guiding significance in the economic evaluation of wind turbines.

[0003] Currently, in actual wind farm fleet planning and optimization work, there are always subtle differences in different LCOE calculation methods, which can lead to ambiguity when using LCOE for comparison, and the results corresponding to incorrect calculation methods lose their original value. Currently, on the one hand, the wind power industry's calculation methods for wind turbine LCOE indicators rely on their own experience to qualitatively evaluate the deviation between predicted data and actual data in terms of indicator data forecasting, which often leads to inaccurate and highly subjective evaluations. On the other hand, in some specific scenarios, some economic indicators often lose their meaning due to inability to calculate. For example, in a scenario where the actual power generation is zero, it is impossible to calculate the error between predicted data and actual data. Summary of the Invention

[0004] To overcome at least one drawback of existing LCOE prediction techniques, the present invention provides a method for predicting the LCOE index of wind turbine power generation, comprising:

[0005] Obtain the LCOE indicator data of a single wind turbine in the wind farm;

[0006] Determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine;

[0007] Generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm.

[0008] In an embodiment of the present invention, obtaining LCOE indicator data of a single wind turbine in a wind farm includes:

[0009] Obtain power generation cost parameter data of a single wind turbine in a wind farm;

[0010] The LCOE indicator data of a single wind turbine existing in the wind farm is determined based on the power generation cost parameter data.

[0011] In an embodiment of the present invention, the power generation cost parameter data includes: construction cost data of a single wind turbine, asset depreciation tax data, operation and maintenance cost data, fixed asset residual value data, and power generation present value data.

[0012] In an embodiment of the present invention, determining the K-line of the continuous wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine includes:

[0013] Generate a K-line chart of a single wind turbine according to LCOE indicator data of a single wind turbine in the wind farm during its life cycle;

[0014] Generate the K-line of the continuous wind turbines in the wind farm based on the K-line chart of a single wind turbine in the wind farm.

[0015] In the embodiment of the present invention, the LCOE indicator data of a single wind turbine in the wind farm during its life cycle includes:

[0016] The LCOE data of a single wind turbine in its initial state, final state, and the highest and lowest LCOE data throughout its life cycle.

[0017] In the embodiment of the present invention, generating wind turbine power generation LCOE indicator prediction data based on the K-line of the continuous wind turbines in the wind farm includes:

[0018] Generate a moving average chart of a preset number of wind turbines based on the K-line of the wind turbines in the wind farm;

[0019] Generate wind turbine power generation LCOE indicator prediction data based on the determined moving average chart trend.

[0020] At the same time, the present invention also provides a wind turbine power generation LCOE indicator prediction device, comprising:

[0021] The data acquisition module is used to obtain the LCOE indicator data of a single wind turbine in the wind farm;

[0022] A K-line generation module is used to determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine;

[0023] The prediction data generation module is used to generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm.

[0024] In an embodiment of the present invention, the K-line generation module includes:

[0025] An index data processing unit, configured to generate a K-line chart of a single wind turbine according to LCOE index data of a single wind turbine within its life cycle in the wind farm;

[0026] The K-line generating unit is used to generate the K-line of the continuous wind turbines in the wind farm according to the K-line diagram of a single wind turbine in the wind farm.

[0027] At the same time, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned wind turbine power generation LCOE indicator prediction method is implemented.

[0028] At the same time, the present invention also provides a computer-readable storage medium, which stores a computer program for executing the above-mentioned wind turbine power generation LCOE indicator prediction method.

[0029] The present invention provides a method and device for predicting the LCOE index of wind turbine power generation. The method determines the K-line of the wind turbines existing in the wind farm based on the LCOE index data of the single wind turbines existing in the wind farm, and predicts the LCOE index of wind turbine power generation based on the K-line of the wind turbines existing in the wind farm. This overcomes the problems faced by the prior art in calculating the economic evaluation index data of a single wind turbine, such as the shortage of reference standards, and the failure and distortion of some reference standards in specific scenarios. On the one hand, the present invention summarizes and evaluates existing economic indicators to make them adaptable to a wider range of application scenarios. On the other hand, it predicts and tests new evaluation indicators, enriching the test system of the economic evaluation index of the farm group. This has certain guiding significance for actual engineering applications and provides a reference basis for new energy power generation companies in the economic evaluation of farm groups.

[0030] In order to make the above and other objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0032] Figure 1 Flowchart of the method for predicting the LCOE index of wind turbine power generation provided by the present invention;

[0033] Figure 2 A block diagram of the device for predicting the LCOE index of wind turbine power generation provided by the present invention;

[0034] Figure 3 A schematic diagram of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] In the actual wind farm group planning and optimization work, there are always subtle differences in different LCOE calculation methods. Some projects will be ambiguous when using LCOE for comparison, and the results corresponding to incorrect prediction calculation methods will lose their original value. In view of this, the present invention provides a wind turbine power generation LCOE indicator prediction method, such as Figure 1 As shown, it includes:

[0037] Step S101, obtaining LCOE indicator data of a single wind turbine in a wind farm;

[0038] Step S102, determining the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine;

[0039] Step S103: Generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm.

[0040] The present invention provides a method for predicting the Levelized Cost of Efficiency (LCOE) index of wind turbine power generation. The method generates a K-line of the existing wind turbines in the wind farm through the LCOE index data of the existing wind turbines in the wind farm, summarizes and evaluates the existing economic indicators, and adapts them to a wider range of application scenarios. On the other hand, the LCOE index of wind turbine power generation is predicted based on the K-line of the existing wind turbines in the wind farm, so as to realize the prediction and verification of new evaluation indicators, enrich the verification system of the economic evaluation indicators of the farm group, and has certain guiding significance for actual engineering applications.

[0041] Furthermore, in an embodiment of the present invention, obtaining LCOE indicator data of a single wind turbine existing in a wind farm includes:

[0042] Obtain power generation cost parameter data of a single wind turbine in a wind farm;

[0043] The LCOE indicator data of a single wind turbine existing in the wind farm is determined based on the power generation cost parameter data.

[0044] In an embodiment of the present invention, the power generation cost parameter data includes: construction cost data of a single wind turbine, asset depreciation and tax data, operation and maintenance cost data, fixed asset residual value data, and power generation present value data. Specifically, in this embodiment, the LCOE indicator data of a single wind turbine is determined based on the obtained construction cost data, asset depreciation and tax data, operation and maintenance cost data, fixed asset residual value data, and power generation present value data of the single wind turbine and the following formula:

[0045]

[0046] It is known to those skilled in the art that any method that can determine LCOE indicator data should be included in the content disclosed in the embodiments of the present invention, and is not limited to the content disclosed in this embodiment.

[0047] Furthermore, in the embodiment of the present invention, determining the K-line of the continuous wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine in step S102 includes:

[0048] Generate a K-line chart of a single wind turbine according to LCOE indicator data of a single wind turbine in the wind farm during its life cycle;

[0049] Generate the K-line of the continuous wind turbines in the wind farm based on the K-line chart of a single wind turbine in the wind farm.

[0050] Specifically, in this embodiment of the present invention, the LCOE indicator data for a single wind turbine within a wind farm over its lifecycle includes the initial state, final state, and the highest and lowest LCOE values over its entire lifecycle. Specifically, a K-line chart for a single wind turbine is constructed using the first calculated LCOE value, the last calculated LCOE value, the highest LCOE value over its entire lifecycle, and the lowest LCOE value over its entire lifecycle.

[0051] The top of the upper shadow of the candlestick chart for a single wind turbine represents the highest LCOE value over the entire cycle, the bottom of the lower shadow represents the lowest LCOE value over the entire cycle, the top of the candlestick body represents the larger of the first and last calculated LCOE values, and the bottom of the candlestick body represents the smaller of the first and last calculated LCOE values. In a specific embodiment, when the first calculated LCOE value is less than the last calculated LCOE value, the candlestick body is red; when the first calculated LCOE value is greater than the last calculated LCOE value, the candlestick body is green.

[0052] In the embodiment of the present invention, generating wind turbine power generation LCOE indicator prediction data based on the K-line of the continuous wind turbines in the wind farm includes:

[0053] Generate a moving average chart of a preset number of wind turbines based on the K-line of the wind turbines in the wind farm;

[0054] The wind turbine power generation LCOE indicator prediction data is generated according to the determined moving average chart to predict the wind turbine power generation LCOE indicator.

[0055] In this embodiment of the present invention, the determined LCOE value of a single wind turbine forms a K-line, and the LCOE values of wind turbines within the same wind turbine cluster form a K-line chart for the wind turbines in the cluster. A K-line chart of the wind turbines within the cluster is obtained, and K-line charts for a predetermined number of wind turbines are constructed based on the K-line chart of the LCOE values of the single wind turbine. For example, moving average charts corresponding to different numbers of wind turbines are constructed based on the K-line charts of 5, 10, 20, 30, and 60 wind turbines. The trend of the LCOE values of newly added wind turbines within the same cluster is determined based on the trends and intersections of the moving average charts of different numbers of wind turbines.

[0056] In the embodiment of the present invention, a K-line is constructed based on the LCOE value of a single wind turbine, and the LCOE values of the wind turbines in the same cluster constitute a K-line chart of the wind turbines in the cluster. The trend and intersection of moving average charts of 5, 10, 20, 30 and 60 wind turbines are constructed based on the K-line chart of the wind turbine LCOE values to judge the trend of the LCOE values of new wind turbines in the same cluster. This overcomes the problems faced by a single wind turbine in the calculation of economic evaluation index data, such as the shortage of reference standards and the failure and distortion of some reference standards in specific scenarios. On the one hand, it summarizes and evaluates the existing economic indicators to make them adaptable to a wider range of application scenarios. On the other hand, it predicts and tests new evaluation indicators, enriches the test system of cluster economic evaluation indicators, has certain guiding significance for actual engineering applications, and provides a reference basis for new energy power generation companies in cluster economic evaluation.

[0057] In addition, the present invention also discloses a wind turbine power generation LCOE indicator prediction device, such as Figure 2 As shown, the device disclosed in the present invention includes:

[0058] The data acquisition module 201 is used to obtain the LCOE index data of a single wind turbine in the wind farm;

[0059] A K-line generating module 202 is configured to determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine;

[0060] The prediction data generation module 203 is used to generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm.

[0061] In the embodiment of the present invention, the data acquisition module 201 acquires the LCOE indicator data of a single wind turbine in the wind farm, including:

[0062] Obtain power generation cost parameter data of a single wind turbine in a wind farm;

[0063] The LCOE indicator data of a single wind turbine existing in the wind farm is determined based on the power generation cost parameter data.

[0064] In this embodiment, the K-line generation module 202 includes:

[0065] An index data processing unit, configured to generate a K-line chart of a single wind turbine according to LCOE index data of a single wind turbine within its life cycle in the wind farm;

[0066] The K-line generating unit is used to generate the K-line of the continuous wind turbines in the wind farm according to the K-line diagram of a single wind turbine in the wind farm.

[0067] In an embodiment of the present invention, the K-line generating unit determines the K-line of the continuous wind turbine in the wind farm according to the LCOE indicator data of the single wind turbine, including:

[0068] Generate a K-line chart of a single wind turbine according to LCOE indicator data of a single wind turbine in the wind farm during its life cycle;

[0069] Generate the K-line of the continuous wind turbines in the wind farm based on the K-line chart of a single wind turbine in the wind farm.

[0070] In the embodiment of the present invention, the prediction data generation module 203 generates wind turbine power generation LCOE indicator prediction data based on the K-line of the continuous wind turbines in the wind farm, including:

[0071] Generate a moving average chart of a preset number of wind turbines based on the K-line of the wind turbines in the wind farm;

[0072] Generate wind turbine power generation LCOE indicator prediction data based on the determined moving average chart trend.

[0073] This embodiment further provides an electronic device, which may be a desktop computer, a tablet computer, a mobile terminal, etc., but this embodiment is not limited thereto. In this embodiment, the electronic device may refer to the embodiments of the aforementioned method and apparatus, the contents of which are incorporated herein, and repeated parts are not repeated here.

[0074] Figure 3 FIG. 6 is a schematic block diagram of a system structure of an electronic device 600 according to an embodiment of the present invention. Figure 3 As shown, the electronic device 600 may include a central processor 100 and a memory 140; the memory 140 is coupled to the central processor 100. It should be noted that this figure is exemplary; other types of structures may be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0075] In one embodiment, the wind turbine power generation LCOE indicator prediction function can be integrated into the central processing unit 100. The central processing unit 100 can be configured to perform the following control:

[0076] Obtain the LCOE indicator data of a single wind turbine in the wind farm;

[0077] Determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine;

[0078] Generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm.

[0079] In another embodiment, the wind turbine power generation LCOE index prediction device can be configured separately from the central processor 100. For example, the wind turbine power generation LCOE index prediction device can be configured as a chip connected to the central processor 100, and the wind turbine power generation LCOE index prediction function can be realized through the control of the central processor.

[0080] like Figure 3 As shown, the electronic device 600 may further include: a communication module 110, an input unit 120, an audio processing unit 130, a display 160, and a power supply 170. It is worth noting that the electronic device 600 does not necessarily have to include Figure 3 In addition, the electronic device 600 may also include all components shown in Figure 3 For components not shown, reference may be made to the prior art.

[0081] like Figure 3 As shown, the central processing unit 100 is sometimes also referred to as a controller or an operation control unit, and may include a microprocessor or other processor device and / or logic device. The central processing unit 100 receives inputs and controls the operations of various components of the electronic device 600 .

[0082] Memory 140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store the aforementioned failure-related information and may also store programs that execute the relevant information. The CPU 100 may execute the programs stored in memory 140 to implement information storage or processing.

[0083] The input unit 120 provides input to the CPU 100. The input unit 120 may be, for example, a keypad or touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

[0084] The memory 140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), or a SIM card. Alternatively, it may be a memory that retains information even when power is off, can be selectively erased, and is provided with more data. Examples of such memory are sometimes referred to as EPROMs. The memory 140 may also be some other type of device. The memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application / function storage unit 142 for storing application programs and function programs or processes for executing the operations of the electronic device 600 via the central processing unit 100.

[0085] The memory 140 may also include a data storage unit 143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 144 of the memory 140 may include various driver programs for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0086] The communication module 110 is a transmitter / receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter / receiver) 110 is coupled to the central processor 100 to provide input signals and receive output signals, which may be the same as in a conventional mobile communication terminal.

[0087] Based on different communication technologies, multiple communication modules 110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module. The communication module (transmitter / receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132, thereby implementing common telecommunication functions. The audio processor 130 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 130 is also coupled to the central processing unit 100, enabling local recording via the microphone 132 and playback of stored audio via the speaker 131.

[0088] An embodiment of the present invention further provides a computer-readable program, wherein when the program is executed in an electronic device, the program causes the computer to execute the wind turbine power generation LCOE indicator prediction method as described in the above embodiment in the electronic device.

[0089] An embodiment of the present invention further provides a storage medium storing a computer-readable program, wherein the computer-readable program enables a computer to execute the wind turbine power generation LCOE indicator prediction described in the above embodiment in an electronic device.

[0090] The present invention determines the K-line of the wind turbines that continue to exist in the wind farm based on the LCOE index data of the single wind turbines that continue to exist in the wind farm, and predicts the LCOE index of the wind turbine power generation based on the K-line of the wind turbines that continue to exist in the wind farm, overcoming the problems faced by the existing technology of single wind turbines in calculating the economic evaluation index data, such as the shortage of reference standards, and the failure and distortion of some reference standards in specific scenarios. On the one hand, the present invention summarizes and evaluates the existing economic indicators to make them adaptable to a wider range of application scenarios. On the other hand, it predicts and tests new evaluation indicators, enriching the testing system of the economic evaluation indicators of the farm group, which has certain guiding significance for actual engineering applications and provides a reference basis for new energy power generation companies in the economic evaluation of farm groups.

[0091] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0092] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0095] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A method for predicting the LCOE index of wind turbine power generation, characterized in that: The method includes: Obtain the LCOE indicator data of a single wind turbine in the wind farm; Determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine; Generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm; The method of determining the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine includes: Generate a K-line chart of a single wind turbine according to LCOE indicator data of a single wind turbine in the wind farm during its life cycle; Generate K-line of the wind turbines in the wind farm based on the K-line chart of a single wind turbine in the wind farm; The LCOE indicator data of a single wind turbine in the wind farm during its life cycle includes: The LCOE data of a single wind turbine in its initial state, final state, and the highest and lowest LCOE data throughout its life cycle.

2. The wind turbine power generation LCOE indicator prediction method according to claim 1, characterized in that: The method of obtaining LCOE index data of a single wind turbine in a wind farm includes: Obtain power generation cost parameter data of a single wind turbine in a wind farm; The LCOE indicator data of a single wind turbine existing in the wind farm is determined based on the power generation cost parameter data.

3. The method for predicting the LCOE index of wind turbine power generation according to claim 2, characterized in that: The power generation cost parameter data includes: construction cost data of a single wind turbine, asset depreciation tax data, operation and maintenance cost data, fixed asset residual value data, and power generation present value data.

4. The method for predicting the LCOE index of wind turbine power generation according to claim 1, characterized in that: The method of generating wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm includes: Generate a moving average chart of a preset number of wind turbines based on the K-line of the wind turbines in the wind farm; Generate wind turbine power generation LCOE indicator prediction data based on the determined moving average chart trend.

5. A wind turbine power generation LCOE indicator prediction device, characterized in that: The device comprises: The data acquisition module is used to obtain the LCOE indicator data of a single wind turbine in the wind farm; A K-line generation module is used to determine the K-line of the wind turbines in the wind farm based on the LCOE indicator data of the single wind turbine; The prediction data generation module is used to generate wind turbine power generation LCOE indicator prediction data based on the K-line of the wind turbines in the wind farm; The K-line generation module includes: An index data processing unit, configured to generate a K-line chart of a single wind turbine according to LCOE index data of a single wind turbine within its life cycle in the wind farm; A K-line generating unit is used to generate K-lines for the wind turbines in the wind farm based on the K-line graph of a single wind turbine in the wind farm; The LCOE indicator data of a single wind turbine in the wind farm during its life cycle includes: The LCOE data of a single wind turbine in its initial state, final state, and the highest and lowest LCOE data throughout its life cycle.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program for executing the method according to any one of claims 1 to 4.

Images