Wind power plant protection measure optimization method based on risk level and related device

Abstract

The invention belongs to the technical field of wind power plant protection measure optimization, and discloses a wind power plant protection measure optimization method based on a risk level and a related device, and the method comprises the steps: building a wind power plant protection measure library based on typical protection measures under different disaster types and recorded cost benefits of each typical protection measure; the wind power plant protection measure library comprises a plurality of single protection measures and a plurality of combined protection measures; based on a predetermined cost-benefit model, calculating the annual total cost of each single protection measure and the annual total cost of each combined protection measure; determining the risk level of the wind power plant according to the comprehensive risk index of the wind power plant; determining a protection measure optimization result of the wind power plant according to the risk level of the wind power plant in combination with the annual total cost of each single protection measure and the annual total cost of each combined protection measure; differentiated configuration and dynamic optimization of the protection measures can be realized, and the safety and economic benefits of the whole life cycle of the wind power plant are improved.

Description

Technical Field

[0001] This invention belongs to the field of wind farm protection measure optimization technology, and specifically relates to a wind farm protection measure optimization method and related device based on risk level. Background Technology

[0002] With the increasing global demand for clean energy, wind power, as an important component of renewable energy, has been widely applied and developed. During the construction and operation of wind farms, due to differences in climate conditions, geographical environment and other factors in different regions, wind farms face different risks. For example, natural disasters such as freezing rain and typhoons have a particularly significant impact on wind power equipment. Therefore, the design of wind farm protection measures is particularly important, as it is directly related to the safe operation and economic benefits of wind farms.

[0003] However, traditional wind farm protection measures often adopt a "one-size-fits-all" approach, applying the same protection measures to all turbine locations, such as uniformly installing the same type of de-icing system. This results in a failure to balance safety and economy in the design of protection measures, thus affecting their effectiveness. Specifically, on the one hand, in low-risk areas, such as regions with low freezing risk, installing expensive de-icing devices will cause unnecessary cost waste and increase the operating costs of the wind farm. On the other hand, in high-risk areas, such as typhoon-prone areas, failure to reinforce the foundations of wind turbines may lead to serious safety accidents, threatening the normal operation of the wind farm. Summary of the Invention

[0004] In view of the technical problems existing in the prior art, the present invention provides a method and related device for optimizing wind farm protection measures based on risk level, so as to solve the technical problem that in the traditional design of wind farm protection measures, the same protection measures are often adopted for all turbine locations, resulting in the inability to balance safety and economy in the design of protection measures.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: This invention provides a method for optimizing wind farm protection measures based on risk levels, including: Collect typical protective measures for different disaster types and record the cost and benefits of each typical protective measure; Based on typical protective measures under different disaster types and the cost-effectiveness of each typical protective measure recorded, a wind farm protection measure library is constructed; the wind farm protection measure library includes several single protective measures and several combined protective measures. Obtain the comprehensive risk index of the wind farm; Based on the comprehensive risk index of wind farms and combined with a predetermined cost-benefit model, calculate the total annual cost of each individual protection measure in the wind farm protection measure library and the total annual cost of each combination of protection measures; The risk level of a wind farm is determined based on its comprehensive risk index. Based on the risk level of the wind farm, and combined with the annual total cost of each individual protection measure and the annual total cost of each combination of protection measures in the wind farm protection measure library, the optimization results of the wind farm protection measures are determined.

[0006] Furthermore, typical protective measures under different disaster types include typical protective measures for freezing disasters and typical protective measures for typhoon disasters; among them, typical protective measures for freezing disasters include no measures, blade coating measures, electric heating de-icing measures, and composite de-icing measures; typical protective measures for typhoon disasters include conventional early warning measures, reinforced foundation measures, and typhoon-resistant blade measures.

[0007] Furthermore, each combined protective measure includes several individual protective measures; each individual protective measure includes the content of each individual protective measure, the cost of the measure, and the percentage reduction in risk loss.

[0008] Furthermore, the predetermined cost-benefit models include cost-benefit calculation models for individual measures and cost-benefit calculation models for combined measures; The cost-benefit calculation model for a single measure is as follows:

[0009] in, The total annual cost of a single protective measure; The cost of a single protective measure; The lifespan of a single protective measure; The percentage reduction in losses corresponding to a single protective measure; Annual risk loss without protection; The cost-benefit calculation model for combined measures is as follows:

[0010]

[0011] in, The total annual cost of combined protective measures; The first in the combination of protective measures The cost of an individual protective measure; The first in the combination of protective measures The lifespan of an individual protective measure; The percentage reduction in total losses from combined protective measures; This represents the total annual risk loss without protection.

[0012] Furthermore, based on the risk level of the wind farm, and combined with the total annual cost of each individual protective measure and the total annual cost of each combination of protective measures in the wind farm protection measure library, the process for determining the optimization results of the wind farm protection measures is as follows: Based on the risk level of the wind farm, we traverse the single and combined protective measures in the wind farm protection measure library, and select the single or combined protective measure with the lowest annual total cost as the optimized result of the wind farm protection measures.

[0013] Furthermore, based on changes in the risk level of wind farms, the individual and combined protective measures in the wind farm protection measures database are updated.

[0014] This invention also provides a wind farm protection measure optimization system based on risk level, comprising: The typical measures collection module is used to collect typical protective measures under different disaster types and record the cost and benefits of each typical protective measure; The measures library creation module is used to build a wind farm protection measures library based on typical protection measures under different disaster types and the cost-effectiveness of each recorded typical protection measure; the wind farm protection measures library includes several single protection measures and several combined protection measures; The risk index acquisition module is used to obtain the comprehensive risk index of the wind farm; The annual total cost calculation module is used to calculate the annual total cost of each individual protection measure in the wind farm protection measure library and the annual total cost of each combination of protection measures based on the comprehensive risk index of the wind farm and in combination with a predetermined cost-benefit model. The risk level determination module is used to determine the risk level of a wind farm based on its comprehensive risk index. The optimization result determination module is used to determine the optimization results of wind farm protection measures based on the risk level of the wind farm and the annual total cost of each individual protection measure and the annual total cost of each combination of protection measures in the wind farm protection measure library.

[0015] The present invention also provides an electronic device, comprising: A processor is used to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, performs the aforementioned method for optimizing wind farm protection measures based on risk levels.

[0016] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for optimizing wind farm protection measures based on risk levels.

[0017] The present invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the aforementioned method for optimizing wind farm protection measures based on risk level.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: The wind farm protection measure optimization method based on risk level provided by this invention enables differentiated configuration and dynamic optimization of protection measures, solving the problems of cost waste or insufficient protection caused by the traditional "one-size-fits-all" strategy, and improving the safety and economic benefits of wind farms throughout their entire life cycle. Specifically, by collecting typical protection measures and their cost-effectiveness under different disaster types to construct a protection measure library, rich and targeted resources are provided for wind farm protection. By obtaining a comprehensive risk index and combining it with a cost-benefit model to calculate the annual total cost of each protection measure, the economic input of different measures under different risk scenarios can be accurately quantified. The risk level is determined based on the comprehensive risk index, and then the optimization result is determined by combining it with the annual total cost of each protection measure. This avoids the traditional "one-size-fits-all" mode, and can reasonably select protection measures for wind farms with different risk levels. It effectively ensures safety and reduces accident risk in high-risk areas, avoids unnecessary cost waste in low-risk areas, balances safety and economy, improves the effectiveness of protection measures, ensures the safe operation of wind farms, and improves economic benefits.

[0019] The wind farm protection measure optimization system, electronic device, computer-readable storage medium, and computer program product based on risk level provided by this invention have all the advantages of the aforementioned wind farm protection measure optimization method based on risk level. Attached Figure Description

[0020] Figure 1 A flowchart of the wind farm protection measure optimization method based on risk level provided in Example 1; Figure 2 The structural block diagram of the wind farm protection measure optimization system based on risk level provided in Example 2; Figure 3 This is a structural block diagram of the electronic device provided in Example 3. Detailed Implementation

[0021] To make the technical problems solved by the present invention, the technical solutions, and the beneficial effects clearer, the following specific embodiments provide a further detailed description of the present invention. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of the invention.

[0022] This invention provides a method for optimizing wind farm protection measures based on risk level, comprising the following steps: Step 100: Collect typical protective measures for different disaster types and record the cost and benefits of each typical protective measure.

[0023] Step 200: Based on typical protective measures under different disaster types and the cost-effectiveness of each recorded typical protective measure, construct a wind farm protection measure library; wherein, the wind farm protection measure library includes several single protective measures and several combined protective measures.

[0024] Step 300: Obtain the comprehensive risk index of the wind farm.

[0025] Step 400: Based on the comprehensive risk index of the wind farm and combined with the predetermined cost-benefit model, calculate the annual total cost of each individual protection measure in the wind farm protection measure library and the annual total cost of each combination of protection measures.

[0026] Step 500: Determine the risk level of the wind farm based on its comprehensive risk index.

[0027] Step 600: Based on the risk level of the wind farm, and combined with the annual total cost of each individual protection measure and the annual total cost of each combination of protection measures in the wind farm protection measure library, determine the optimization results of the wind farm protection measures.

[0028] Step 700: Update the individual and combined protective measures in the wind farm protection measures library according to the changes in the risk level of the wind farm.

[0029] In the above embodiments, by collecting typical protective measures and their cost-effectiveness information under different disaster types, a protective measure database is constructed. Then, combined with the wind farm comprehensive risk index and cost-benefit model, the annual total cost of each individual and combined protective measure is calculated. Based on the risk level, optimized protective measures are determined, which can rationally allocate resources in different risk areas, invest sufficient resources to ensure safety in high-risk areas, and avoid unnecessary cost expenditures in low-risk areas, thereby balancing safety and economy and improving the overall effectiveness of protective measures. This invention determines the risk level based on the comprehensive risk index of each wind farm, and then determines the differentiated optimization results of protective measures, which can better adapt to the actual needs of different wind farms, improve the pertinence and applicability of protective measures, and enable wind farms to achieve safe and economical operation in different environments.

[0030] The following specific embodiments further explain the wind farm protection measure optimization method based on risk level provided by the present invention: Example 1 As attached Figure 1 As shown in the figure, this embodiment 1 provides a method for optimizing wind farm protection measures based on risk level, including the following steps: Step 1: Collect typical protective measures for different types of disasters and record the cost and benefits of each typical protective measure.

[0031] Specifically, by reading a pre-determined database of protective measures cases, typical protective measures under different disaster types are obtained, and the cost and benefits of each typical protective measure are extracted. Among them, the typical protective measures under different disaster types include typical protective measures for freezing disasters and typical protective measures for typhoon disasters. The cost of each typical protective measure includes the construction investment cost of the typical protective measure, such as material costs, construction costs, and installation and commissioning costs. The benefit of each typical protective measure is used to characterize the proportion of risk loss reduction of the protective measure, which is quantified by the proportion of risk loss reduction, that is, the proportion of risk loss after taking typical protective measures compared with the state without protection.

[0032] For example, typical protective measures against freezing disasters include no measures, blade coating measures, electric heating de-icing measures, and composite de-icing measures. No measures refer to not taking any active anti-icing measures for the wind turbine, relying entirely on natural conditions for operation; the cost of no measures is 0, and the risk loss reduction rate is 0%. Blade coating measures involve coating the surface of the wind turbine blades with functional materials with hydrophobic or low surface energy properties, such as polytetrafluoroethylene coatings or superhydrophobic nano-coatings, to reduce the adhesion strength of the ice layer and decrease the probability of ice formation; the cost of blade coating measures is 500,000 per wind farm. The risk loss reduction ratio is 10%; electric heating de-icing measures refer to embedding resistance heating elements inside the blades or arranging conductive films along the surface, using electric heating to melt and remove the formed ice layer; the cost of electric heating de-icing measures is 2 million, and the risk loss reduction ratio is 30%; composite de-icing measures refer to combining passive protection such as coatings with active de-icing technologies such as electric heating or mechanical vibration devices to form a multi-level collaborative protection system; for example, using a coating + intermittent heating mode can reduce energy consumption while ensuring the de-icing effect; the cost of composite de-icing measures is 4 million, and the risk loss reduction ratio is 50%.

[0033] For example, typical protective measures against typhoon disasters include conventional early warning measures, infrastructure strengthening measures, and typhoon-resistant blade measures. Conventional early warning measures refer to establishing a typhoon path prediction and wind speed warning mechanism based on meteorological monitoring networks and numerical forecasting models, adjusting the unit's operating status in advance, such as shutting down and yawing, and locking the rotor. The cost of conventional early warning measures is 300,000, with a risk loss reduction rate of 15%. Infrastructure strengthening measures refer to structural reinforcement of the wind turbine tower foundation, such as deepening the pile foundation, expanding the foundation size, using high-strength concrete or prestressed anchoring technology, to improve the overall anti-overturning and seismic resistance. The cost of infrastructure strengthening measures is 5 million, with a risk loss reduction rate of 40%. Typhoon-resistant blade measures refer to using blade structures with specialized aerodynamic designs, such as shortening the impeller diameter, optimizing the airfoil curvature, increasing structural stiffness, and using high-strength composite materials such as carbon fiber reinforced resin, to ensure stable operation or safe shutdown even in extremely strong winds. The cost of these measures is 8 million, with a risk loss reduction rate of 60%.

[0034] Step 2: Based on typical protective measures under different disaster types and the cost-effectiveness of each recorded typical protective measure, construct a wind farm protection measure library; the wind farm protection measure library includes several single protective measures and several combined protective measures.

[0035] Specifically, typical protective measures for different disaster types and the cost-effectiveness of each typical protective measure are structured and stored to form a standardized and searchable knowledge database. The wind farm protection measure database contains entries for several individual protective measures, as well as combined protective measures that combine multiple individual protective measures according to a preset logical relationship. That is, each combined protective measure includes several individual protective measures; each individual protective measure includes its content, cost, and risk loss reduction ratio. The content of each individual protective measure includes the measure name, the disaster type, and a detailed description of the measure. The wind power protection measure database is deployed on a local server or cloud platform and supports multi-dimensional querying and filtering by disaster type, cost range, loss reduction efficiency, and other dimensions.

[0036] It should be noted that combined protection measures are an overall solution formed by combining two or more predefined individual protection measures according to a preset logical relationship. This allows the protection strategy to be flexibly configured according to the actual multi-hazard concurrent scenario, improving the ability to cope with complex environments. Among them, combined protection measures can be the superposition of different measures under the same hazard type, such as the combination of blade coating measures and electric heating de-icing measures for freezing disasters; or it can be integrated protection across hazard types, such as composite de-icing measures + typhoon-resistant blade promotion, for wind farms facing freezing and typhoon risks at the same time.

[0037] Step 3: Obtain the comprehensive risk index of the wind farm. The comprehensive risk index (CRI) of the wind farm is used to characterize the overall risk level faced by the wind farm; the CRI ranges from 0 to 1, with a higher value indicating a higher risk.

[0038] Specifically, the process for determining the comprehensive risk index of a wind farm is as follows: Key risk factors affecting wind farms were identified. These key risk factors included annual average wind speed extremes, number of freezing days, typhoon frequency, and geological stability. Data sources for these key risk factors included meteorological station observation records, remote sensing imagery, GIS geographic information systems, and disaster databases released by power regulatory agencies. The key risk factors were standardized to obtain standardized key risk indicators. Based on pre-determined indicator weights, the standardized key risk indicators were weighted and summed to obtain a comprehensive risk index for the wind farm.

[0039] Step 4: Based on the comprehensive risk index of the wind farm and combined with a pre-determined cost-benefit model, calculate the total annual cost of each individual protection measure in the wind farm protection measure library, as well as the total annual cost of each combination of protection measures. The pre-determined cost-benefit model includes cost-benefit calculation models for individual measures and cost-benefit calculation models for combination measures. The cost-benefit calculation model for a single measure is as follows:

[0040] in, The total annual cost of a single protective measure; The cost of a single protective measure; The lifespan of a single protective measure; The percentage reduction in losses corresponding to a single protective measure; The annual risk loss without protection is estimated based on the comprehensive risk index of the wind farm.

[0041] The cost-benefit calculation model for combined measures is as follows:

[0042]

[0043] in, The total annual cost of combined protective measures; The first in the combination of protective measures The cost of an individual protective measure; The first in the combination of protective measures The lifespan of an individual protective measure; The percentage reduction in total losses from combined protective measures; This represents the total annual risk loss without protection.

[0044] It should be noted that the cost-benefit calculation model for a single measure is used to quantify the economic performance of a single protective measure throughout its entire life cycle; whereby the total annual cost of a single protective measure is... The total expenditure incurred by a specific protective measure within a given year, including the amortization of capital investments and expected losses due to residual risk; the cost of a single protective measure. This refers to the one-time investment required to implement a single protective measure, such as the cost of equipment procurement, installation, and commissioning. For example, the cost of blade coating measures is 500,000 yuan per wind farm; the lifespan of a single protective measure. This indicates the effective service life of the protective measure, determined based on material durability, operation and maintenance cycles, and industry standards. For example, the typical lifespan of an electrically heated de-icing system is 10 years. The percentage reduction in losses corresponding to a single protective measure is also considered. This value represents the percentage reduction in risk loss after taking the protective measure, relative to the unprotected state, and ranges from [0,1]. For example, typhoon-resistant blades can reduce the average annual loss caused by typhoon disasters by 60%, i.e. Annual risk loss without protection This refers to the average annual economic loss that may be caused by a specific type of disaster (such as freezing rain or typhoon) without any protective measures being taken.

[0045] It should also be noted that the combined cost-benefit calculation model is used to evaluate the overall economic efficiency when multiple individual measures are applied in combination; among them, the total annual cost of the combined protective measures... To represent the total annual cost of a set of coordinated protective measures, it consists of the sum of the average annual investment of each individual measure and the residual risk loss of the combined measure; in the combined protective measures, the first... The cost of an individual protective measure and the first in the combination of protective measures Lifespan of an individual protective measure Each sub-measure in the combination corresponds to its investment amount and service life, such as considering both de-icing systems and foundation reinforcement projects; the total loss reduction ratio of the combined protective measures. The product complementarity method is used to calculate the nonlinear superposition effect between multiple protective measures; the total annual risk loss without protection. It refers to the overall average annual risk loss under multiple disaster scenarios without any protective measures, and can be used for unified assessment across disaster types.

[0046] Step 5: Determine the risk level of the wind farm based on its comprehensive risk index.

[0047] Specifically, compare the comprehensive risk index of the wind farm with the preset risk index threshold, and determine the risk level of the wind farm according to the threshold comparison result. Among them, the risk levels of the wind farm include low risk, sub-low risk, medium risk, sub-high risk and high risk. For example, when the preset risk index thresholds include the first threshold, the second threshold, the third threshold and the fourth threshold, and the first threshold is 0.2, the second threshold is 0.4, the third threshold is 0.6, and the fourth threshold is 0.8; if CRI≤0.2 is satisfied, the risk level of the wind farm is low risk; if 0.2 < CRI≤0.4 is satisfied, the risk level of the wind farm is sub-low risk; if 0.4 < CRI≤0.6 is satisfied, the risk level of the wind farm is medium risk; if 0.6 < CRI≤0.8 is satisfied, the risk level of the wind farm is sub-high risk; if CRI > 0.8 is satisfied, the risk level of the wind farm is high risk.

[0048] Step 6: Determine the optimized protection measures for the wind farm according to the risk level of the wind farm and in combination with the annual total cost of each individual protection measure and each combined protection measure in the wind farm protection measure library. Specifically, according to the risk level of the wind farm, traverse the individual protection measures and combined protection measures in the wind farm protection measure library, and select the individual protection measure or combined protection measure with the minimum annual total cost as the optimized protection measure result for the wind farm.

[0049] It should be specifically noted that the process of determining the optimized protection measure result for the wind farm is to solve an optimization problem with constraints; in specific implementation, the enumeration method, genetic algorithm or particle swarm algorithm is used to search for the optimal solution in the measure space; for example, in the medium risk level, by comparing the annual total costs of the blade coating measure, the conventional early warning measure, and the combined protection measure of blade coating + conventional early warning, finally select the combination with the minimum annual total cost to ensure economic optimization while ensuring safety and avoid overprotection or underprotection.

[0050] It should be noted that for low risks, low-cost measures are preferably selected, such as no protection measures or conventional early warning measures; for medium risks, measures with a balance between cost and benefit are selected, such as combined protection measures including blade coating measures and conventional early warning measures; for high risks, high-input benefit measures are selected, such as combined protection measures including composite de-icing measures and enhanced foundation measures.

[0051] Step 7: Update the individual and combined protective measures in the wind farm protection measure library according to changes in the wind farm's risk level. Specifically, by continuously monitoring or periodically assessing the comprehensive risk index (CRI) of the wind farm's location, its evolution trend over time is identified. When the CRI changes beyond a preset threshold or crosses the risk level boundary, it is determined that the risk level has changed significantly, triggering the dynamic update mechanism of the protection measure library. For example, if the risk level decreases, such as from medium risk to the second lowest risk, some high-cost measures are reduced, such as discontinuing composite de-icing and replacing it with blade coating. If the risk level increases, such as from the second highest risk to high risk, the protection intensity is increased, such as adding typhoon-resistant blades. By updating the protection measure library in a timely manner, the problem of protection capabilities lagging behind the actual risk level under the static configuration mode is solved, thereby improving the adaptability and sustainability of the protection system. It avoids safety hazards or resource waste caused by mismatched measures and enhances the balance between safety and economy throughout the entire life cycle.

[0052] Specifically, the dynamic update mechanism of the protective measure library includes adding new measures, deleting outdated measures, adjusting measure parameters, reconstructing combination schemes, and updating hierarchical adaptation rules; among which, The process of adding new measures is as follows: When a new protective technology is applied, such as superhydrophobic coatings for anti-icing or intelligent early warning systems to improve typhoon response capabilities, it is recorded as a new single measure in the measure library and assigned corresponding cost, benefit, and lifespan parameters. The process of deleting outdated measures is as follows: Measures that have been phased out or are no longer economically feasible, such as old heating systems whose maintenance costs have increased dramatically due to material aging, are removed from the measure library. The process of adjusting measure parameters is as follows: Based on actual operational feedback or market cost fluctuations, the cost, lifespan, or loss reduction ratio of existing measures is adjusted. The process of reconstructing combination schemes is as follows: Based on the latest risk characteristics, the synergistic effects between different measures are reassessed, the combination logic is optimized, and a more efficient new combination path is generated. The process of updating the graded adaptation rules is as follows: In conjunction with the current risk level classification standards, the selection priority and constraints of recommended measures under each level are adjusted synchronously.

[0053] In this embodiment 1, by establishing a quantitative correlation model between risk level, measure library, and cost-effectiveness, protection decisions no longer rely on experience-based judgments but are based on objective data and mathematical modeling, thus improving scientific rigor and replicability and solving the problem of cost waste or inadequacy in traditional "one-size-fits-all" protection. At the same time, by introducing a method for calculating the synergistic benefits of combined measures, the actual loss reduction capacity under multi-hazard concurrent scenarios is accurately reflected, enhancing the accuracy of the assessment. In addition, the dynamic screening mechanism supports the output of customized protection suggestions based on the real-time risk status of the wind farm, which is applicable to both the early planning of new projects and the upgrading and transformation of existing power plants, thereby improving the overall safety and economic benefits of wind power assets throughout their entire life cycle.

[0054] Example 2 As attached Figure 2 As shown in the figure, this embodiment 2 provides a wind farm protection measure optimization system based on risk level, including a typical measure collection module, a measure library creation module, a risk index acquisition module, an annual total cost calculation module, a risk level determination module, and an optimization result determination module.

[0055] The typical measures collection module is used to collect typical protective measures under different disaster types and record the cost and benefits of each typical protective measure.

[0056] The measures library creation module is used to build a wind farm protection measures library based on typical protection measures under different disaster types and the cost-effectiveness of each recorded typical protection measure; the wind farm protection measures library includes several individual protection measures and several combinations of protection measures.

[0057] The risk index acquisition module is used to obtain the comprehensive risk index of wind farms.

[0058] The annual total cost calculation module is used to calculate the annual total cost of each individual protection measure in the wind farm protection measure library and the annual total cost of each combination of protection measures based on the comprehensive risk index of the wind farm and in combination with a pre-determined cost-benefit model.

[0059] The risk level determination module is used to determine the risk level of a wind farm based on its comprehensive risk index.

[0060] The optimization result determination module is used to determine the optimization results of wind farm protection measures based on the risk level of the wind farm and the annual total cost of each individual protection measure and the annual total cost of each combination of protection measures in the wind farm protection measure library.

[0061] Optionally, the wind farm protection measure optimization system based on risk level provided in this embodiment 2 also includes a dynamic update module; the dynamic update module is used to update the single protection measures and combined protection measures in the wind farm protection measure library according to the changes in the risk level of the wind farm.

[0062] Example 3 As attached Figure 3 As shown, this embodiment 3 provides an electronic device, including: a memory for storing a computer program; a processor for executing the computer program to implement the steps of the wind farm protection measure optimization method based on risk level; or, the processor executing the computer program to implement the functions of each module in the above-mentioned wind farm protection measure optimization system based on risk level.

[0063] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a preset function, the instruction segments describing the execution process of the computer program in the electronic device.

[0064] The electronic device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above are examples of electronic devices and do not constitute a limitation on the electronic device. It may include more components than described above, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0065] The processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, or any conventional processor, etc. The processor is the control center of the electronic device, connecting various parts of the entire electronic device through various interfaces and lines.

[0066] The memory can be used to store the computer program and / or module, and the processor implements various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and by calling the data stored in the memory.

[0067] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function (such as sound playback, image playback, etc.). The data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart memory cards, secure digital cards, flash memory cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0068] Example 4 This embodiment 4 also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for optimizing wind farm protection measures based on risk level.

[0069] If the modules / units of the wind farm protection measures optimization system based on risk level are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0070] Based on this understanding, the present invention can implement all or part of the processes in the above-mentioned method for optimizing wind farm protection measures based on risk levels. This can also be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the above-mentioned method for optimizing wind farm protection measures based on risk levels. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or a preset intermediate form, etc.

[0071] The computer-readable storage medium may include any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0072] Example 5 This embodiment 5 provides a computer product, which includes a computer program stored in a computer-readable storage medium. The processor of the electronic device reads the computer program from the computer-readable storage medium and executes the computer program, so that the electronic device can execute the wind farm protection measure optimization method based on risk level described in embodiment 1, which will not be repeated here.

[0073] It should be noted that those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above methods.

[0074] The wind farm protection optimization method based on risk-prone wind turbines described in this invention collects typical protection measures for different disaster types and establishes a measure library containing cost and benefit information. It obtains the comprehensive risk index of the wind farm and classifies risk levels. Combined with a cost-benefit model, it calculates the annual total cost of each individual and combined measure. Finally, it selects the optimal protection scheme with the minimum annual total cost based on the risk level. This invention can realize differentiated configuration and dynamic optimization of protection measures, solves the problem of cost waste or insufficient protection caused by the traditional "one-size-fits-all" strategy, and improves the safety and economic benefits of the wind farm throughout its entire life cycle.

[0075] The above embodiments are merely one of the implementation methods for achieving the technical solution of the present invention. The scope of protection claimed by the present invention is not limited to this embodiment, but also includes any variations, substitutions and other implementation methods that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention.

Claims

1. A method for optimizing wind farm protection measures based on risk level, characterized in that, The method comprises the following steps: collecting typical protection measures under different disaster types and recording the cost and benefit of each typical protection measure; constructing a wind farm protection measure library based on the typical protection measures under different disaster types and the cost and benefit of each typical protection measure recorded, wherein the wind farm protection measure library comprises a plurality of single protection measures and a plurality of combined protection measures; obtaining a comprehensive risk index of the wind farm; calculating the annual total cost of each single protection measure and the annual total cost of each combined protection measure in the wind farm protection measure library based on the comprehensive risk index of the wind farm and in combination with a predetermined cost-benefit model; determining the risk level of the wind farm according to the comprehensive risk index of the wind farm; determining the protection measure optimization result of the wind farm according to the risk level of the wind farm and in combination with the annual total cost of each single protection measure and the annual total cost of each combined protection measure in the wind farm protection measure library.

2. The method for wind farm protection measures optimization based on risk level according to claim 1, characterized in that, The typical protection measures under different disaster types comprise typical protection measures against freezing disaster and typical protection measures against typhoon disaster; wherein the typical protection measures against freezing disaster comprise no measure, blade coating measure, electric heating deicing measure and composite deicing measure; the typical protection measures against typhoon disaster comprise conventional early warning measure, strengthened foundation measure and anti-typhoon blade measure.

3. The method of claim 1, wherein, Each combined protection measure comprises a plurality of single protection measures; each single protection measure comprises the content, measure cost and risk loss reduction ratio of each single protection measure.

4. The method of claim 1, wherein, The predetermined cost-benefit model comprises a single measure cost-benefit calculation model and a combined measure cost-benefit calculation model; The single measure cost-benefit calculation model is as follows: wherein, is the total annual cost of the single protection measure; is the cost of the single protection measure; is the lifetime of the single protection measure; is the loss reduction ratio corresponding to the single protection measure; is the annual risk loss without protection; The combined measure cost-benefit calculation model is as follows: in, The total annual cost of combined protective measures; The first in the combination of protective measures The cost of an individual protective measure; The first in the combination of protective measures The lifespan of an individual protective measure; The percentage reduction in total losses from combined protective measures; This represents the total annual risk loss without protection.

5. The method for wind farm protection measures optimization based on risk level according to claim 1, characterized in that, The process of determining the protection measure optimization result of the wind farm according to the risk level of the wind farm and in combination with the annual total cost of each single protection measure and the annual total cost of each combined protection measure in the wind farm protection measure library is as follows: According to the risk level of the wind farm, the single protection measures and the combined protection measures in the wind farm protection measure library are traversed, and the single protection measure or the combined protection measure with the minimum annual total cost is selected as the protection measure optimization result of the wind farm.

6. The method for wind farm protection measures optimization based on risk level according to claim 1, characterized in that, The single protection measures and the combined protection measures in the wind farm protection measure library are updated according to the change of the risk level of the wind farm.

7. A risk level based wind farm protection measures optimization system, characterized in that, The method comprises the following steps: a typical measure collecting module is configured to collect typical protection measures under different disaster types and record the cost and benefit of each typical protection measure; a measure library creating module is configured to construct a wind farm protection measure library based on the typical protection measures under different disaster types and the cost and benefit of each typical protection measure recorded, wherein the wind farm protection measure library comprises a plurality of single protection measures and a plurality of combined protection measures; a risk index obtaining module is configured to obtain a comprehensive risk index of the wind farm; an annual total cost calculating module is configured to calculate the annual total cost of each single protection measure and the annual total cost of each combined protection measure in the wind farm protection measure library based on the comprehensive risk index of the wind farm and in combination with a predetermined cost-benefit model; The risk grade determination module is configured to determine the risk grade of the wind farm according to the comprehensive risk index of the wind farm. The optimization result determination module is configured to determine the optimization result of the protection measures of the wind farm according to the risk grade of the wind farm and in combination with the annual total cost of each single protection measure and the annual total cost of each combined protection measure in the protection measure library of the wind farm.

8. An electronic device, comprising: Comprise: A processor adapted to execute a computer program; A computer readable storage medium having stored therein a computer program, the computer program being executed by the processor to perform the risk grade based optimization method of protection measures for a wind farm according to any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. The computer program is executed by the processor to implement the risk grade based optimization method of protection measures for a wind farm according to any one of claims 1-6.

10. A computer program product, characterised in that, The computer program product comprises a computer program, the computer program being executed by the processor to implement the risk grade based optimization method of protection measures for a wind farm according to any one of claims 1-6.

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