Wind power plant actual generating capacity calculation method fusing multi-disaster loss and related device
By using a multi-hazard loss calculation method based on wind speed data and wind turbine power curves, the problem of accuracy in calculating the actual power generation of wind farms was solved, a full-chain calculation framework was established, and refined assessment and differentiated protection were realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-26
- Publication Date
- 2026-03-13
AI Technical Summary
Existing methods for calculating the actual power generation of wind farms fail to fully consider the synergistic and superimposed effects of multiple disasters, and the single-disaster loss calculation model is too coarse, resulting in a large deviation between the calculation results and the actual values. This lack of scientific decision-making basis makes it difficult to carry out differentiated protection investment.
A calculation method based on representative annual wind speed data and wind turbine power curves is adopted. Combined with the single-disaster loss rate of major disasters such as freezing, typhoons and lightning, the total loss rate is calculated through a product superposition model to establish a full-chain calculation framework and refine the assessment of actual power generation.
It improves the accuracy of calculating the actual power generation of wind farms, provides a precise data foundation, supports power generation benefit assessment and electricity trading, identifies key disaster factors, and enhances the pertinence of protective measures.
Smart Images
Figure CN121663467A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of wind farm technology and relates to a method and related device for calculating the actual power generation of a wind farm that integrates multiple disaster losses. Background Technology
[0002] As a crucial component of clean and renewable energy, accurate prediction and assessment of wind power generation are essential for grid dispatch, economic benefit analysis of wind farms, and investment decisions. The actual power generation of a wind farm depends not only on wind energy resources but also on various natural disasters in the operating location, such as freezing (icing), typhoons, and lightning. Currently, industry calculations of actual wind farm power generation typically deduct losses caused by various disasters from the theoretical power generation. However, traditional calculation methods have significant flaws, leading to large discrepancies between calculated results and actual values, failing to meet the needs of refined assessments.
[0003] First, traditional methods fail to fully consider the synergistic and cumulative effects of multiple disasters, leading to either underestimation or overestimation of losses. The current common method calculates losses for each individual disaster and then simply adds them together. This crude method cannot accurately reflect the real-world scenario of multiple disasters coupled together. Second, the loss calculation models for individual disasters are too crude, lacking a quantitative correlation with disaster intensity and thus insufficient accuracy. Third, the long-term impact of disasters on wind turbine efficiency is not considered (e.g., efficiency decline due to equipment aging caused by lightning). This results in a lack of scientific decision-making basis for wind farms when formulating disaster prevention, mitigation, and operation and maintenance strategies, making it difficult to make differentiated investments in key protection areas and hindering the targeted improvement of power generation and economic optimization.
[0004] In summary, existing methods for calculating the actual power generation of wind farms have significant shortcomings in terms of multi-hazard loss superposition models, the correlation between single-hazard loss and intensity, and decision support capabilities. Therefore, there is an urgent need in this field for an innovative calculation method that can integrate multi-hazard losses, correlate hazard intensity, and perform refined impact analysis to more accurately and scientifically assess the actual power generation capacity of wind farms and provide data support for operational optimization. Summary of the Invention
[0005] The purpose of this invention is to provide a method and related apparatus for calculating the actual power generation of a wind farm that integrates multiple disaster losses, so as to solve the technical problem that the calculation structure for the actual power generation of a wind farm in the prior art is not accurate enough.
[0006] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for calculating the actual power generation of a wind farm that integrates multiple disaster losses, comprising the following steps: Based on representative annual wind speed data and wind turbine power curves, the annual theoretical power generation of the wind farm is calculated. Calculate the single-hazard loss rate for the main hazards of wind farms; The total loss rate of the wind farm is calculated using a product superposition model based on the single disaster loss rate. The actual power generation of the wind farm is calculated based on the total loss rate and the annual theoretical power generation.
[0007] Furthermore, the step of calculating the annual theoretical power generation of the wind farm based on representative annual wind speed data and the power curve of the wind turbine specifically includes: Obtain the power curve data P(V) of the wind turbine; Based on the hourly wind speed sequence Vt representing the year and the power curve data P(V), the hourly theoretical power Ptheo(t) is calculated using the following formula: Ptheo(t) = P(Vt) When Vt < cut-in wind speed or Vt > cut-out wind speed, Ptheo(t) = 0; The annual theoretical power generation is obtained by summing up the hourly theoretical power Ptheo(t), and the specific calculation formula is as follows: Etheo=ΣPtheo(t)×Δt In the formula, Etheo represents the theoretical annual power generation; Δt = 1 hour.
[0008] Furthermore, when the power curve data of the wind turbine is incomplete, it is supplemented using a cubic polynomial fitting method. The specific calculation formula is as follows: P(V) = a×V³ + b×V² + c×V + d In the formula, V is the wind speed; a, b, c, and d are the fitting coefficients.
[0009] Furthermore, in the step of calculating the single-disaster loss rate for the main disasters of the wind farm, the main disasters of the wind farm include at least freezing disasters, typhoon disasters, and lightning disasters; The formula for calculating the single-hazard loss rate of the freezing disaster is as follows: L1 = L1power + L1stop L1power=k1×d L1stop = (Number of downtime hours / 8760) × 100% In the formula, L1 represents the total freezing loss rate; L1power represents the freezing power loss; L1stop represents the freezing shutdown loss; k1 is a coefficient; and d is the ice thickness. The formula for calculating the single-disaster loss rate of the typhoon disaster is as follows: L2 = L2stop + L2low L2stop = (Downtime hours / 8760) × 100% L2low = (Number of hours with low wind speed × Average power loss) / Etheo × 100% In the formula, L2 represents the total typhoon loss rate; L2stop represents the direct shutdown loss; and L2low represents the indirect low wind speed loss. The formula for calculating the single-disaster loss rate of lightning disasters is as follows: L3 = L3fault + L3eff L3fault = (Downtime hours × Rated power) / Etheo × 100% L3eff=k2×Nlight In the formula, L3 represents the total lightning loss rate; L3fault represents the direct fault loss; L3eff represents the long-term efficiency loss; k2 is a coefficient; and Nlight is the average number of lightning strikes per year.
[0010] Furthermore, the specific calculation formula for the step of calculating the total loss rate of the wind farm based on the single-disaster loss rate using a product superposition model is as follows: Ltotal=1-(1-L1)×(1-L2)×(1-L3) In the formula, Ltotal represents the total loss rate of the wind farm.
[0011] Furthermore, the specific calculation formula for calculating the actual power generation of the wind farm based on the total loss rate and the annual theoretical power generation is as follows: Eactual = Etheo × (1 - Ltotal) In the formula, Eactual represents the actual power generation of the wind farm. Furthermore, the method also includes: loss sensitivity analysis, which involves adjusting the value of any single disaster loss rate and observing the change in the actual power generation to determine the key disaster type that has the greatest impact on the actual power generation.
[0012] Secondly, the present invention provides a wind farm actual power generation calculation system that integrates multiple disaster losses, including: The annual theoretical power generation calculation module is used to calculate the annual theoretical power generation of a wind farm based on representative annual wind speed data and the power curve of the wind turbine. The single-hazard loss rate calculation module is used to calculate the single-hazard loss rate for the main hazards of wind farms. The total loss rate calculation module is used to calculate the total loss rate of the wind farm based on the single disaster loss rate through a product superposition model. The actual power generation calculation module is used to calculate the actual power generation of a wind farm based on the total loss rate and the annual theoretical power generation.
[0013] Thirdly, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for calculating the actual power generation of a wind farm that integrates multiple disaster losses as described above.
[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for calculating the actual power generation of a wind farm that integrates multiple disaster losses.
[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses a method and related apparatus for calculating the actual power generation of a wind farm that integrates multiple disaster losses. It proposes a calculation method that correlates single-disaster losses with intensity (e.g., freezing losses correlate with ice thickness, lightning losses correlate with the number of lightning strikes), improving the accuracy of single-disaster loss calculations compared to fixed-proportion deductions. Furthermore, it establishes a multi-disaster loss superposition model and uses a product method to calculate the total loss rate, solving the problem of overestimation of losses caused by traditional simple addition. This makes the final calculated actual power generation (Eactual) more closely reflect the actual operation of the wind farm, providing a precise data foundation for power generation benefit assessment and electricity trading. This invention constructs a full-chain calculation framework of "theoretical power - single-disaster loss - total loss," integrating multiple factors such as hourly wind speed, disaster intensity, and equipment characteristics, providing a refined evaluation method for actual power generation.
[0016] Furthermore, by adjusting the value of any single disaster loss rate and observing the change in the actual power generation, this invention introduces loss sensitivity analysis to identify key influencing disasters, providing a basis for decision-making on differentiated protection measures and improving the targeting of power generation enhancement. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a schematic diagram of the system of the present invention; Figure 3 This is a schematic diagram of the computer device structure of the present invention. Detailed Implementation
[0019] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.
[0020] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.
[0021] See Figure 1 This invention discloses a method for calculating the actual power generation of a wind farm that integrates multiple disaster losses, comprising the following steps: S1, based on representative annual wind speed data and the power curve of the wind turbine, calculates the annual theoretical power generation of the wind farm; S1.1 Power Curve Fitting Collect power curve data (correspondence between wind speed V and output power P) provided by the wind turbine manufacturer. If the data is incomplete, supplement it using cubic polynomial fitting. P(V) = a×V³ + b×V² + c×V + d (a, b, c, d are fitting coefficients) For example, if a wind turbine has a cut-in wind speed of 3 m / s (P=0) and a rated wind speed of 12 m / s (P=2500kW), the theoretical power at any wind speed can be calculated by fitting coefficients to the measured data.
[0022] S1.2 represents the annual hourly power calculation. Based on the hourly wind speed sequence of the representative year (Vt, t=1~8760 hours), the hourly theoretical power is calculated by combining the power curve: Ptheo(t)=P(Vt) (when Vt<cut-in wind speed or Vt>cut-out wind speed, Ptheo(t)=0).
[0023] S1.3 Year Theoretical Power Generation Summary The annual theoretical power generation is the sum of hourly power, Etheo=ΣPtheo(t)×Δt (Δt=1 hour, that is, the power generation per hour is power (kW)×1 hour=kWh).
[0024] S2 calculates the single-disaster loss rate for major disasters in wind farms (such as freezing rain, typhoons, and lightning); S2.1 Freezing loss rate (L1) Freezing power loss: Icing reduces the aerodynamic performance of blades, resulting in reduced power at the same wind speed. The loss ratio is related to the ice thickness. L1power = k1 × d (k1 is a coefficient, d is the icing thickness in mm). For example, if k1 = 0.02, then the power loss is 10% when the icing thickness is 5 mm.
[0025] Freezing shutdown loss: When the ice thickness is ≥10mm, a shutdown is triggered, and the loss time is the number of shutdown hours: L1stop=(number of shutdown hours / 8760)×100%.
[0026] Total freezing loss rate: L1 = L1power + L1stop.
[0027] S2.2 Typhoon Loss Rate (L2) Direct downtime loss: Downtime loss when the wind speed exceeds the cut-out wind speed, L2stop = (downtime hours / 8760) × 100%.
[0028] Indirect low wind speed loss: Loss caused by wind speeds falling below the cut-in wind speed after a typhoon, L2low = (number of hours with low wind speeds × average power loss) / Etheo × 100%.
[0029] Total typhoon loss rate: L2 = L2stop + L2low.
[0030] S2.3 Lightning Loss Rate (L3) Direct failure loss: Losses due to downtime and maintenance caused by lightning strikes on equipment, L3fault = (downtime hours × rated power) / Etheo × 100%.
[0031] Long-term efficiency loss: Lightning-induced equipment aging leads to a decrease in efficiency throughout the year. L3eff=k2×Nlight (k2 is the coefficient, Nlight is the average number of lightning strikes per year).
[0032] Total lightning loss rate: L3 = L3fault + L3eff.
[0033] S3, calculate the total loss rate of the wind farm using a product superposition model based on the single disaster loss rate; The losses from multiple disasters are not simply added together (there are overlapping parts that occur simultaneously), so a product model is used to calculate the total loss rate: Ltotal=1-(1-L1)×(1-L2)×(1-L3) For example, if L1=5%, L2=3%, and L3=2%, then the total loss rate is 1-(0.95×0.97×0.98)≈9.7% (instead of 5%+3%+2%=10%), which is more realistic.
[0034] S4. Calculate the actual power generation of the wind farm based on the total loss rate and the annual theoretical power generation.
[0035] Actual power generation is the theoretical power generation minus total losses: Eactual = Etheo × (1 - Ltotal) S5, Loss Sensitivity Analysis By adjusting the single-disaster loss rate (e.g., L1±2%), the change in actual power generation can be calculated, and the disasters with the greatest impact on power generation (e.g., disasters with sensitivity >1.5% / 1%) can be identified, providing key directions for optimizing protective measures.
[0036] See Figure 2 This invention discloses a wind farm actual power generation calculation system that integrates multiple disaster losses, including an annual theoretical power generation calculation module, a single disaster loss rate calculation module, a total loss rate calculation module, and an actual power generation calculation module.
[0037] The annual theoretical power generation calculation module is used to calculate the annual theoretical power generation of a wind farm based on representative annual wind speed data and the power curve of the wind turbine. Specifically, this module is configured to perform the following operations: input or integrate the power curve function P(V) of the wind turbine, which defines the mapping relationship between wind speed and output power; input hourly wind speed sequence data representing the year; convert the hourly wind speed into hourly theoretical power generation according to the power curve; finally, by integrating or summing the hourly theoretical power generation over the 8760 hours of the year, the annual theoretical power generation, without considering any disaster effects, is obtained. The output of this module provides a benchmark value for subsequent loss calculations.
[0038] The single-hazard loss rate calculation module is used to calculate the single-hazard loss rate for major hazards in wind farms. This module further includes sub-modules or processing logic for different hazards, and its innovation lies in correlating the loss rate with observable and quantifiable hazard intensity parameters. For example, for freezing hazard, this module receives ice thickness monitoring data and calculates the power reduction loss caused by icing and the downtime loss caused by icing exceeding the threshold based on a preset model (e.g., Llpower = k1 × d). For lightning hazard, it receives lightning strike count data and calculates the direct failure downtime loss and long-term efficiency degradation loss. The module outputs a series of independent single-hazard loss rates L1, L2...Ln, which are based on physical mechanisms rather than fixed empirical values, significantly improving the accuracy of single-hazard assessment.
[0039] The total loss rate calculation module is used to calculate the total loss rate of a wind farm based on the loss rates of individual disasters using a product superposition model. The core algorithm of this module is Ltotal = 1 - [(1-L1) × (1-L2) × ... × (1-Ln)]. This model effectively considers the time overlap effect caused by the simultaneous occurrence of multiple disasters, avoiding the overestimation of losses in the traditional linear superposition method. Therefore, it can more realistically reflect the synergistic impact of multiple disasters, making the calculation result of the total loss rate more scientific and reasonable.
[0040] The actual power generation calculation module is used to calculate the actual power generation of a wind farm based on its total loss rate and annual theoretical power generation. The Eactual generated by this module is a detailed assessment of the wind farm's true power generation capacity under the influence of multiple natural disasters, providing crucial data support for wind farm power generation planning, performance evaluation, and disaster prevention and mitigation investment decisions.
[0041] Preferably, the system may also include a loss sensitivity analysis module, which is connected to the actual power generation calculation module. This module is used to quantitatively analyze the impact of any single disaster loss rate on the final actual power generation by adjusting the input value of the loss rate, thereby identifying the key disaster factors that have the greatest impact on power generation and providing clear priority guidance for operators to take targeted protective measures.
[0042] In one embodiment of the invention, see [link to embodiment]. Figure 3 A computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions from the computer storage medium to achieve a corresponding method flow or function. The processor described in this embodiment can be used in the operation of a method for calculating the actual power generation of a wind farm that integrates multiple disaster losses.
[0043] This invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for calculating the actual power generation of a wind farm integrating multi-hazard losses in the above embodiments.
[0044] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0045] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0046] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.
[0047] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A method for calculating the actual power generation of a wind farm that integrates multiple disaster losses, characterized in that, Includes the following steps: Based on representative annual wind speed data and wind turbine power curves, the annual theoretical power generation of the wind farm is calculated. Calculate the single-hazard loss rate for the main hazards of wind farms; Based on the single-disaster loss rate, the total loss rate of the wind farm is calculated using a product superposition model. The actual power generation of the wind farm is calculated based on the total loss rate and the annual theoretical power generation.
2. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 1, characterized in that, The steps for calculating the annual theoretical power generation of a wind farm based on representative annual wind speed data and the power curve of the wind turbine specifically include: Obtain the power curve data P(V) of the wind turbine; Based on the hourly wind speed sequence Vt representing the year and the power curve data P(V), the hourly theoretical power Ptheo(t) is calculated using the following formula: Ptheo(t) = P(Vt) When Vt < cut-in wind speed or Vt > cut-out wind speed, Ptheo(t) = 0; The annual theoretical power generation is obtained by summing up the hourly theoretical power Ptheo(t), and the specific calculation formula is as follows: Etheo=ΣPtheo(t)×Δt In the formula, Etheo represents the theoretical annual power generation; Δt = 1 hour.
3. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 2, characterized in that, When the power curve data of the wind turbine is incomplete, a cubic polynomial fitting is used to supplement it. The specific calculation formula is as follows: P(V) = a×V³ + b×V² + c×V + d In the formula, V is the wind speed; a, b, c, and d are the fitting coefficients.
4. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 1, characterized in that, In the step of calculating the single-disaster loss rate for the main disasters of wind farms, the main disasters of wind farms include at least freezing disasters, typhoon disasters and lightning disasters. The formula for calculating the single-hazard loss rate of the freezing disaster is as follows: L1 = L1power + L1stop L1power=k1×d L1stop = (Number of downtime hours / 8760) × 100% In the formula, L1 represents the total freezing loss rate; L1power represents the freezing power loss; L1stop represents the freezing shutdown loss; k1 is a coefficient; and d is the ice thickness. The formula for calculating the single-disaster loss rate of the typhoon disaster is as follows: L2 = L2stop + L2low L2stop = (Downtime hours / 8760) × 100% L2low = (Number of hours with low wind speed × Average power loss) / Etheo × 100% In the formula, L2 represents the total typhoon loss rate; L2stop represents the direct shutdown loss. L2low represents indirect low wind speed loss; The formula for calculating the single-disaster loss rate of lightning disasters is as follows: L3 = L3fault + L3eff L3fault = (Downtime hours × Rated power) / Etheo × 100% L3eff=k2×Nlight In the formula, L3 represents the total lightning loss rate; L3fault represents the direct fault loss; and L3eff represents the long-term efficiency loss. k2 is a coefficient, and Nlight is the average number of lightning strikes per year.
5. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 1, characterized in that, The specific calculation formula for the step of calculating the total loss rate of the wind farm based on the single-disaster loss rate using a product superposition model is as follows: Ltotal=1-(1-L1)×(1-L2)×(1-L3) In the formula, Ltotal represents the total loss rate of the wind farm.
6. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 1, characterized in that, The specific calculation formula for calculating the actual power generation of a wind farm based on its total loss rate and annual theoretical power generation is as follows: Eactual = Etheo × (1 - Ltotal) In the formula, Eactual represents the actual power generation of the wind farm.
7. The method for calculating the actual power generation of a wind farm that integrates multiple disaster losses according to claim 1, characterized in that, Also includes: Loss sensitivity analysis involves adjusting the loss rate of any single disaster and observing the magnitude of changes in actual power generation to identify the key disaster type that has the greatest impact on actual power generation.
8. A wind farm actual power generation calculation system integrating multi-hazard losses, characterized in that, include: The annual theoretical power generation calculation module is used to calculate the annual theoretical power generation of a wind farm based on representative annual wind speed data and the power curve of the wind turbine. The single-hazard loss rate calculation module is used to calculate the single-hazard loss rate for the main hazards of wind farms. The total loss rate calculation module is used to calculate the total loss rate of the wind farm based on the single disaster loss rate through a product superposition model. The actual power generation calculation module is used to calculate the actual power generation of a wind farm based on the total loss rate and the annual theoretical power generation.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for calculating the actual power generation of a wind farm that integrates multiple disaster losses as described in any one of claims 1-7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for calculating the actual power generation of a wind farm that integrates multiple disaster losses as described in any one of claims 1-7.