Wind turbine operation control method, device, controller and storage medium

Abstract

The present application discloses a wind turbine operation control method, device, controller, and storage medium. The wind turbine operation control method includes: obtaining the operating parameters of the wind turbines in the wind farm; determining the available remaining life (RUL) corresponding to each wind turbine based on the operating parameters; inputting the RUL corresponding to each wind turbine into a preset economic model to obtain the economic benefit index parameters of the wind farm; determining the target operating mode corresponding to each wind turbine based on the economic benefit index parameters; and controlling the operation of each wind turbine based on the target operating mode corresponding to each wind turbine. The wind turbine operation control method provided by the present application can reduce operation and maintenance costs, increase the power generation of wind turbines, and enable the operation of wind turbines to meet the economic indicators of the wind farm.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device, controller and storage medium for controlling the operation of a wind turbine generator set. Background Art

[0002] Wind turbines are important power generation equipment in wind farms. Ensuring that wind turbines operate in a relatively healthy state is of great significance to ensuring the power generation performance of wind farms.

[0003] At present, the remaining useful life (RUL) of each component of the wind turbine is usually determined first, and the target components of the wind turbine whose RUL is less than the RUL threshold value corresponding to each component are determined. The wind turbine is controlled to shut down, and then the target components are replaced or maintained. After the replacement or maintenance of the target components is completed, the wind turbine is started and the operation of the wind turbine is controlled.

[0004] However, in this wind turbine operation control method, if one or more target components of the wind turbine have a RUL lower than their corresponding RUL thresholds, the target components must be replaced or maintained, which results in high operation and maintenance costs. Summary of the Invention

[0005] The purpose of the embodiments of the present application is to provide a wind turbine operation control method, device, controller and storage medium to solve the technical problem of high operation and maintenance costs in the prior art.

[0006] The technical solution of this application is as follows:

[0007] In a first aspect, a method for controlling the operation of a wind turbine generator system is provided, which may include:

[0008] Obtain operating parameters of wind turbines in wind farms;

[0009] Determine the remaining useful life (RUL) of each wind turbine generator set based on the operating parameters;

[0010] Inputting the RUL corresponding to each wind turbine into a preset economic model to obtain the economic benefit index parameters of the wind farm;

[0011] Determining a target operating mode corresponding to each of the wind turbine generator sets according to the economic benefit indicator parameters;

[0012] Based on the target operation mode corresponding to each wind turbine generator set, the operation of each wind turbine generator set is controlled.

[0013] In a second aspect, a wind turbine operation control device is provided, which may include:

[0014] An acquisition module is used to obtain the operating parameters of the wind turbines in the wind farm;

[0015] A first determining module is configured to determine a remaining useful life RUL corresponding to each wind turbine generator set based on the operating parameters;

[0016] A prediction module, configured to input the M RULs corresponding to each wind turbine into a preset economic model to obtain economic benefit index parameters of the wind farm;

[0017] A second determination module is configured to determine a target operation mode corresponding to each of the wind turbine generator sets according to the economic benefit index parameter;

[0018] The control module is used to control the operation of each wind turbine generator set based on the target operation mode corresponding to each wind turbine generator set.

[0019] According to a third aspect, a controller is provided, which may include:

[0020] processor;

[0021] a memory for storing instructions executable by the processor;

[0022] The processor is configured to execute the instructions to implement the method as shown in any one of the embodiments of the first aspect.

[0023] In a fourth aspect, a storage medium is provided. When the instructions in the storage medium are executed by a processor of an information processing device or a server, the information processing device or the server implements the method shown in any one of the embodiments of the first aspect.

[0024] The technical solutions provided by the embodiments of the present application bring at least the following beneficial effects:

[0025] The embodiment of the present application determines the RUL corresponding to each wind turbine based on the acquired operating parameters and wind condition information of the wind turbines in the wind farm. The economic benefit index of the wind farm is obtained by using the RUL of each wind turbine and a preset economic model, and the operation of the wind turbine is controlled based on the economic benefit index parameters. In this way, on the one hand, compared with the prior art, there is no need to replace or maintain the target components of the wind turbine when one or more target components of the wind turbine have a RUL less than their respective corresponding RUL thresholds. In this way, the frequency of replacement and maintenance of wind turbine components can be reduced, thereby reducing operation and maintenance costs. Moreover, on the basis of reducing the frequency of replacement and maintenance of wind turbine components, the downtime of the wind turbine can also be reduced, thereby increasing the power generation of the wind turbine. On the other hand, the method provided in the embodiment of the present application also takes into account the economic benefit index of the wind farm. In this way, on the basis of reducing operation and maintenance costs, the operation of the wind turbine can also meet the more demanding economic indicators of the wind farm.

[0026] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0028] Figure 1 This is a logic block diagram of another wind turbine operation control method provided in the prior art;

[0029] Figure 2 This is a schematic diagram of an application scenario of a wind turbine operation control method provided by an embodiment of the present application;

[0030] Figure 3 This is a flow chart of a wind turbine operation control method provided in an embodiment of the present application;

[0031] Figure 4 This is a logic block diagram of a wind turbine operation control method provided in an embodiment of the present application;

[0032] Figure 5 This is a structural diagram of a wind turbine operation control device provided in an embodiment of the present application;

[0033] Figure 6 This is a schematic diagram of the structure of a controller provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to enable ordinary people in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0035] It should be noted that the terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0036] Based on the background technology, it can be known that in the existing generator set operation control method, when there are one or more target components in the wind turbine set whose RUL is less than the RUL threshold, the target components must be replaced or maintained, which will result in higher operation and maintenance costs of the wind turbine set.

[0037] Also, see Figure 1 , Figure 1 A logic block diagram of a wind turbine operation control method provided in the prior art is shown. Figure 1 As shown, in the prior art, a wind farm controller can obtain the operating data and load data of the wind turbines within the wind farm, determine the RUL of each component of each wind turbine based on the operating and load data, and then determine the RUL of the entire wind turbine corresponding to each wind turbine using the RUL of each component of each wind turbine. Based on the RUL of the entire wind turbine corresponding to each wind turbine, the target operating data corresponding to each wind turbine is determined, such as a combination of one or more specific data such as power, speed, torque, and pitch angle. The target operating data corresponding to each wind turbine is then sent to the corresponding wind turbine.

[0038] It can be seen that this wind turbine operation control method is based on the perspective of protecting the wind turbine. In this way, although the protection of the wind turbine is better, it relies solely on the RUL threshold for judgment and cannot comprehensively consider the interaction between the power generation index and the operation and maintenance index to enable the wind turbine to operate in the most economical way (such as maximizing the annual investment return). That is, the existing wind turbine operation control method cannot meet the requirements of adjusting the operating status of the wind turbine according to the economic index requirements of the wind farm.

[0039] Based on the above findings, embodiments of the present application provide a wind turbine operation control method, device, main controller, and storage medium. These methods can determine the RUL corresponding to each wind turbine based on the acquired operating parameters of the wind turbines in the wind farm. Using the RUL of each wind turbine and a preset economic model, the wind farm's economic benefit index is obtained, and the wind turbine operation is controlled based on the economic benefit index parameters. Thus, compared to the prior art, there is no need to replace or maintain target components when one or more target components in the wind turbine have a RUL less than their respective RUL thresholds. This reduces the frequency of component replacement and maintenance in the wind turbine, thereby reducing operation and maintenance costs. Furthermore, while reducing the frequency of component replacement and maintenance in the wind turbine, it also reduces the downtime of the wind turbine, thereby increasing the power generation of the wind turbine. Furthermore, the methods provided in embodiments of the present application also take into account the economic benefit index of the wind farm. Thus, while reducing operation and maintenance costs, the operation of the wind turbine can also meet the more stringent economic indicators of the wind farm.

[0040] The wind turbine operation control method, device, main controller and storage medium provided in the embodiments of the present application are described below with reference to the accompanying drawings and application scenarios.

[0041] Figure 2 The following is a schematic diagram of an application scenario of a wind turbine operation control method provided in an embodiment of the present application. Figure 2 As shown, the application scenario may include a wind turbine 210 and a wind farm controller 220. Figure 2 Only two wind turbines 210 in the wind farm are schematically drawn; in practice, the number of wind turbines 210 in the wind farm may be less or more.

[0042] A communication connection can be established between the wind turbine 210 and the wind farm controller 220 so that the wind farm controller 220 can obtain the operating parameters of each wind turbine 210 in the wind farm, and then determine the RUL corresponding to each wind turbine 210 based on the operating parameters of each wind turbine 210, and input the RUL corresponding to each wind turbine into a preset economic model to obtain the economic index parameters of the wind farm. Finally, based on the economic index parameters of the wind farm, the target operating mode corresponding to each wind turbine 210 is determined to control the operation of the wind turbine based on the target operating mode corresponding to each wind turbine 210.

[0043] The following describes the wind turbine operation control method provided in the embodiment of the present application.

[0044] Figure 3 A schematic diagram of a flow chart of a wind turbine operation control method provided in an embodiment of the present application is shown, which is applied to a wind farm controller, such as Figure 3As shown, the wind turbine operation control method may include the following steps:

[0045] S310: Obtain operating parameters of wind turbines in the wind farm.

[0046] The operating parameters may include operating data, load data, and environmental data of each wind turbine in the wind farm.

[0047] When controlling the operation of wind turbines in a wind farm, the operating parameters of each wind turbine in the wind farm can be obtained first. The operating parameters of each wind turbine in the wind farm may include operating data, load data and environmental data, wherein the operating data may be the rotor speed, pitch angle, active power, etc. of the wind turbine; the environmental data may include wind condition information at the location of the wind turbine, or wind condition information at a specific location within the site, such as wind speed and wind direction; and may also include environmental information at the location of the wind turbine, or environmental information at a specific location within the site, such as temperature, humidity and other data.

[0048] S320: Determine the RUL corresponding to each wind turbine generator system based on the operating parameters.

[0049] After obtaining the operating parameters of each wind turbine in the wind farm, the RUL corresponding to each wind turbine can be determined based on the operating parameters of each wind turbine. For example, if there are ten wind turbines in the wind farm, namely wind turbine 1, wind turbine 2, wind turbine 3, ..., wind turbine 10, and the operating parameters corresponding to each wind turbine are respectively: operating parameter 1, operating parameter 2, operating parameter 3, ..., operating parameter 10, then RUL1 corresponding to wind turbine 1 can be determined based on operating parameter 1, RUL2 corresponding to wind turbine 2 can be determined based on operating parameter 2, RUL3 corresponding to wind turbine 3 can be determined based on operating parameter 3, ..., and RUL10 corresponding to wind turbine 10 can be determined based on operating parameter 10.

[0050] S330: Input the RUL corresponding to each wind turbine into a preset economic model to obtain economic benefit index parameters of the wind farm.

[0051] Among them, the preset economic model can be obtained by training based on the historical RUL corresponding to each wind turbine and the historical economic benefit indicator parameters of the wind farm. The economic benefit indicator can be one or more of operation and maintenance costs, electricity price benefits, investment recovery rate, etc. Correspondingly, the preset economic model can be one or more of economic models such as OPEX (Operating Expense) model, electricity price benefit model, investment recovery rate model, etc.

[0052] OPEX models can be used to estimate wind farm operation and maintenance costs. These costs include component replacement costs after turbine components reach their expected lifespans, labor costs, and indirect costs associated with unexpected events (i.e., predicted failures). OPEX models typically output estimated costs for a specific power generation output.

[0053] The electricity price benefit model can be used to estimate the electricity price benefit of a wind farm. For example, it can output the electricity price benefit corresponding to a specific amount of power generation based on different electricity price strategies such as fixed electricity price, floating electricity price or stage electricity price (annual changes or different peak and valley electricity prices in a year).

[0054] The investment payback model can be used to estimate the annual profit or average profit of a wind farm as a percentage of the total investment. For example, the actual investment payback rate of a project can be estimated by combining multiple factors.

[0055] For the aforementioned OPEX model, electricity price benefit model, and investment payback model, the estimated costs, electricity price benefits, and investment payback rates can be output for the P50 and P90 scenarios, respectively. P50 represents a 50% probability that actual power generation will equal or exceed the high estimate, while P90 represents a 90% probability that actual power generation will equal or exceed the low estimate.

[0056] After determining the RUL corresponding to each wind turbine, the RUL corresponding to each wind turbine can be input into a preset economic model. Based on the RUL corresponding to each wind turbine, the preset economic model can obtain an economic benefit indicator parameter of the wind farm, such as at least one of operation and maintenance cost, electricity price income, and investment recovery rate.

[0057] It is understood that the preset economic model can also be used to obtain the economic benefit indicator parameters of the wind farm based on the RUL corresponding to each wind turbine and the RUL consumption rate. The RUL consumption rate can be the RUL consumption rate of each wind turbine or the RUL consumption rate of each component of each wind turbine.

[0058] S340: Determine a target operation mode corresponding to each wind turbine generator set according to the economic benefit indicator parameters.

[0059] After obtaining the economic benefit index parameters of the wind farm, the corresponding target operating mode can be determined based on the economic benefit index parameters of each wind turbine. The target operating mode can be the operating mode corresponding to each wind turbine determined based on the economic benefit index parameters of the wind farm.

[0060] Optionally, the above-mentioned target operating mode can be a combination of one or more power level adjustment mode, load adjustment mode, and noise adjustment mode. The power level adjustment mode can be a power degradation mode, a power upgrade mode, etc. The load adjustment mode can be a load degradation mode, a load upgrade mode, etc. The noise adjustment mode can be a noise degradation mode, a noise upgrade mode, etc.

[0061] After obtaining the economic benefit index parameters of the wind farm, the target operating mode for each wind turbine can be determined based on the economic benefit index parameters of the wind farm, with one or more of the economic benefit index parameters as the target. For example, the target operating mode for each wind turbine can be determined based on the investment recovery rate, assuming the expected total life of the wind turbine remains unchanged (generally 20 years).

[0062] S350: Control the operation of each wind turbine generator set based on the target operation mode corresponding to each wind turbine generator set.

[0063] After obtaining the target operating mode corresponding to each wind turbine, a corresponding control command can be generated based on each target operating mode. These control commands are then sent to the wind turbines corresponding to each target operating mode, allowing the controllers of each wind turbine to receive the corresponding target operating mode.

[0064] It can be understood that the wind turbine operation control method provided in the embodiment of the present application can be executed in real time, periodically, or when an instruction is received, so as to achieve full life cycle (i.e., full life) control of the wind turbine.

[0065] The embodiment of the present application determines the RUL corresponding to each wind turbine based on the acquired operating parameters of the wind turbines in the wind farm, obtains the economic benefit index of the wind farm through the RUL of each wind turbine and a preset economic model, and controls the operation of the wind turbine based on the economic benefit index parameters. In this way, on the one hand, compared with the prior art, there is no need to replace or maintain the target components when one or more target components in the wind turbine have a RUL less than their respective corresponding RUL thresholds. In this way, the frequency of replacement and maintenance of wind turbine components can be reduced, thereby reducing operation and maintenance costs. Moreover, on the basis of reducing the frequency of replacement and maintenance of wind turbine components, the downtime of the wind turbine can also be reduced, thereby increasing the power generation of the wind turbine. On the other hand, the method provided in the embodiment of the present application also takes into account the economic benefit index of the wind farm. In this way, on the basis of reducing operation and maintenance costs, the operation of the wind turbine can also meet the economic indicators of the wind farm with higher requirements.

[0066] In addition, since the economic benefit indicator in the embodiment of the present application can be one or more of operation and maintenance costs, electricity price benefits, and investment recovery rate, that is, the embodiment of the present application not only takes into account the interaction between operation and maintenance costs, electricity price benefits, and investment recovery rate, based on the RUL of the wind turbine, it is possible to take into account the balance between multiple economic influencing factors based on a relatively complex preset economic model. In this way, the operating status of the wind turbine can be adjusted according to the economic indicator requirements of the wind farm while reducing operation and maintenance costs, so that the operation of the wind turbine can meet the more comprehensive economic indicator requirements of the wind farm.

[0067] Moreover, since the RUL of the wind turbine generator set will be affected by environmental factors, the embodiment of the present application also obtains environmental data on the basis of operating data and load data, and determines the RUL of the wind turbine generator set in combination with the environmental data. In this way, the accuracy of the RUL of the wind turbine generator set can be improved, thereby providing a more accurate data basis for determining economic benefit indicators, improving the accuracy of the target operating mode of the wind turbine generator set, and further reducing operation and maintenance costs, so that the operation of the wind turbine generator set can better meet the economic indicators of the wind farm.

[0068] In some optional embodiments, the RUL corresponding to the wind turbine generator set may be the RUL corresponding to each component of the wind turbine generator set. Accordingly, the specific implementation of step S320 may be as follows:

[0069] Based on the operating parameters, determine the M RULs corresponding to each wind turbine;

[0070] At this time, the specific implementation of the above step S330 can be as follows:

[0071] The M RULs corresponding to each wind turbine are input into the preset economic model to obtain the economic benefit index parameters of the wind farm.

[0072] Wherein, a RUL is the RUL corresponding to a component of the wind turbine generator set, and M is a positive integer.

[0073] After obtaining the operating parameters of each wind turbine, the RULs corresponding to each of the M components of each wind turbine can be determined based on the operating parameters of each wind turbine, thereby obtaining the M RULs corresponding to the M components of each wind turbine. That is, for a wind turbine, the RULs corresponding to each of the M components of the wind turbine can be determined based on the operating parameters of the wind turbine. For example, the RULs corresponding to each of the wind turbine's blades, hub, main engine support base, main shaft, main bearing, pitch drive system, pitch bearing, tower, foundation, generator, converter, transformer, and other components can be determined. Accordingly, after determining the M RULs corresponding to each wind turbine, the M RULs corresponding to each wind turbine can be input into a preset economic model to obtain the economic benefit indicator parameters of the wind farm.

[0074] It is understandable that in this embodiment, the preset economic model can be obtained by training based on the historical RUL corresponding to each of the M components of each wind turbine and the historical economic benefit index parameters of the wind farm.

[0075] In this way, since the economic benefit index of the wind farm will be affected by the RUL of each component of the wind turbine, determining the economic benefit index parameters of the wind farm based on the RUL of each component of each wind turbine can improve the accuracy of the economic benefit index parameters, thereby further enabling the wind farm to better meet the requirements of economic indicators.

[0076] In some embodiments, each component may correspond to a preset model for determining its corresponding RUL. The above determination is based on operating parameters. The specific implementation method of determining the M RULs corresponding to each wind turbine group may be as follows:

[0077] The operating parameters are respectively input into the M first preset models to obtain M RULs corresponding to each wind turbine.

[0078] Among them, the components of the wind turbine generator set correspond one-to-one to the first preset model, and the aforementioned components can be key components of the wind turbine generator set, such as blades, hubs, main engine support seats, main shafts, main bearings, pitch drive systems, pitch bearings, towers, foundations, generators, converters, transformers, etc.

[0079] The first preset model may be obtained based on historical operating parameters and historical RUL training of the component corresponding to the model. The historical operating parameters may include historical operating data, historical load data, and historical environmental data.

[0080] When determining the M RULs corresponding to each wind turbine, the operating parameters can be input into the M first preset models to obtain the M RULs corresponding to each wind turbine. For a wind turbine, taking the key components of the wind turbine as blades, hub, main engine support, main shaft, main bearing, pitch drive system, pitch bearing, tower, foundation, generator, converter, transformer, etc., and the first preset models corresponding to each component are first preset model 1, first preset model 2, first preset model 3, first preset model 4, first preset model 5, ..., first preset model 12 as an example, the operating parameters of the wind turbine can be input into the first preset model 1, first preset model 2, first preset model 3, first preset model 4, first preset model 5, ..., first preset model 12, respectively, to obtain the RULs corresponding to the blades, hub, main engine support, main shaft, main bearing, pitch drive system, pitch bearing, tower, foundation, generator, converter, transformer, etc.

[0081] Optionally, based on the RULs corresponding to the key components of the wind turbine, corresponding RULs can also be set for non-critical components that have a significant impact on the stable operation of the wind turbine. The RUL model corresponding to each non-critical component can be installed in an appropriate manner and used in combination with the RUL model of the key component.

[0082] In this way, since the mechanisms for estimating different components are different, setting different first preset models for different components can improve the accuracy of the M RULs determined for each wind turbine, thereby further improving the accuracy of the economic benefit indicator parameters, and further enabling the wind farm to better meet the requirements of economic indicators.

[0083] In some embodiments, before inputting the M RULs of each wind turbine into the preset economic model, each RUL may be converted into a format. Accordingly, before the above step S330, the following steps may be performed:

[0084] For the M RULs corresponding to each wind turbine, each RUL is converted into a target RUL in a preset format to obtain the M target RULs corresponding to each wind turbine;

[0085] The specific implementation of the corresponding step S330 may be:

[0086] The M target RULs corresponding to each wind turbine are input into the preset economic model to obtain the economic benefit index parameters of the wind farm.

[0087] The target RUL is obtained by converting the RUL format.

[0088] Because the RUL formats for different components may differ, for example, some components' RULs may represent absolute service life or operating times, others' RULs may represent the ratio of service life to design life, or others' cumulative damage coefficients. Therefore, before inputting the M RULs for each wind turbine into the preset economic model, each of the M RULs corresponding to each wind turbine can be formatted and unified to obtain the target RUL after format conversion. This, in turn, yields the M target RULs for each wind turbine, making the meaning of each RUL clearer. Inputting the M target RULs for each wind turbine into the preset economic model yields the economic benefit indicator parameters for the wind farm.

[0089] In this way, since the RUL formats corresponding to different components may be different, directly determining the economic benefit index parameters of the wind farm based on the original format RUL corresponding to different components may lead to errors in the determination of the economic benefit index parameters, or the determination of the economic benefit index parameters takes a long time. Therefore, converting and unifying the formats of the RUL corresponding to different components can make the meaning of each RUL clearer and the determined economic benefit index parameters more accurate, so that the wind farm can further better meet the needs of economic indicators.

[0090] In some embodiments, the specific implementation of step S340 may be as follows:

[0091] The RUL consumption rate and economic benefit index parameters corresponding to each operation mode are input into the second preset model to obtain the target operation mode of each wind turbine.

[0092] The RUL consumption rate may be the RUL consumption rate of each wind turbine generator set, or the RUL consumption rate of each component of each wind turbine generator set.

[0093] As an example, when determining the target operating mode corresponding to each wind turbine set based on the economic benefit index parameters, the RUL consumption rate corresponding to each operating mode and the economic benefit index parameters output by the preset economic model can be input into the second preset model. The second preset model analyzes the RUL consumption rate and economic benefit index parameters corresponding to each operating mode to obtain the operating mode of each wind turbine set, that is, the target operating mode.

[0094] The second preset model can be based on one or more optimal economic benefit indicator parameters, combined with the RUL consumption rate of different operating modes, and obtain the target operating mode of each wind turbine through a multi-objective optimization algorithm, such as a weighted method, an evolutionary algorithm, a particle swarm algorithm, a model predictive control (MPC) algorithm, etc. For example, taking the optimal investment recovery rate as the goal, the target operating mode of each wind turbine can be obtained through a multi-objective optimization algorithm based on the life consumption rate of the wind turbine or its various components, the operation and maintenance cost, the electricity price trend, etc. For example, the wind turbine can be deployed to operate in an overrated state in the first few years of the commissioning period to obtain more power generation benefits; operate in a rated state in the middle of the life cycle, and operate in an underrated state at the end of the life cycle.

[0095] In this way, since the economic benefit index parameters are integrated on the basis of the life consumption rate corresponding to each operating mode, the target operating mode of each wind turbine is determined by a multi-objective optimization algorithm, and the influence of different economic benefit indicators is taken into account, the maintenance cost of the wind farm can be further reduced, so that the wind farm can better meet the needs of economic indicators.

[0096] In some embodiments, the aforementioned preset economic model may be obtained through training based on a cost function.

[0097] Among them, the cost function, also known as the loss function, is a function that can map the value of a random event or its related random variables into a non-negative real number to represent the risk or loss of the random event. It can usually be used as an optimization criterion and is associated with the optimization problem.

[0098] As an example, a preset economic model can be trained based on a cost function. For example, the historical RUL corresponding to each of the M components of each wind turbine and the historical economic benefit index parameters of the wind farm can be obtained as a sample set. A portion of the sample set is selected as a training set, and another portion is selected as a test set. The preset model is trained based on the training set using a cost function. The accuracy of the trained preset model is tested using the test set. When the accuracy of the trained preset model meets a threshold, the trained preset model is determined as the preset economic model.

[0099] In this way, the preset economic model obtained based on cost function training can make the preset economic model more accurate, thereby further improving the accuracy of the economic benefit indicator parameters and further improving the accuracy of the target operating mode determined for each wind turbine.

[0100] Figure 4 A logic block diagram of a wind turbine operation control method provided in an embodiment of the present application is shown. Figure 4The wind farm controller can be used to obtain the operating parameters of the wind turbines, determine the RUL corresponding to each component of each wind turbine based on the operating parameters through the life estimation unit, and input the RUL corresponding to each component of each wind turbine into the economic benefit index estimation unit; obtain the economic benefit index parameters of the wind farm based on the RUL corresponding to each component of each wind turbine (if necessary, it can also include the RUL consumption rate), and input the economic benefit index parameters of the wind farm into the meta-controller; determine the target operating mode corresponding to each wind turbine according to the economic benefit index parameters using a specific control algorithm (such as a model predictive control algorithm or a multi-objective optimization algorithm) through the meta-controller, and send the target operating mode corresponding to each wind turbine to the corresponding wind turbine.

[0101] It should be noted that a typical implementation of a meta-controller can be: a specific software module running on a general-purpose wind farm controller; or it can be implemented by a specially designed wind farm controller integrating software and hardware. Compared to the prior art unit control command sending unit that sends control commands carrying specific operating parameters to wind turbines, the meta-controller in the embodiment of the present application can not only send operating mode control commands carrying target operating modes to wind turbines, but also determine the target operating mode corresponding to each wind turbine using a specific control algorithm based on economic benefit indicator parameters.

[0102] The specific implementation principles and technical effects of the above steps in this embodiment are similar to those of the above method embodiments, and for the sake of brevity, they will not be repeated here.

[0103] Based on the same inventive concept, an embodiment of the present application further provides a controller for a wind turbine generator set, which can be used to receive an operation mode control command sent by a wind farm controller and control the operation of the wind turbine generator set based on the operation mode control command.

[0104] The controller of each wind turbine can be communicatively connected to the wind farm controller. The wind farm controller can communicate with each wind turbine controller to send the target operating mode corresponding to each wind turbine to its corresponding controller. Each wind turbine controller can then determine target operating parameters corresponding to its respective target operating mode and control wind turbine operation based on the target operating parameters.

[0105] For a wind turbine, after the wind farm controller sends an operating mode control command to the wind turbine, the controller of the wind turbine can receive its corresponding operating mode control command. Then, the controller of the wind turbine can parse the operating mode control command to obtain the operating parameters corresponding to the wind turbine, that is, the target operating parameters (including but not limited to power setting, pitch angle, speed, opening and closing of specific load reduction function modules, etc.), and control the operation of the wind turbine based on the target operating parameters. For example, the operating mode control command can be parsed to obtain the target operating mode corresponding to the wind turbine, and then the target operating parameters corresponding to the target operating mode are determined, wherein the operating parameters corresponding to different operating modes may be the same or different, and the operating parameters corresponding to each operating mode can be pre-set.

[0106] Based on the same inventive concept, the present application also provides a wind turbine operation control device.

[0107] Figure 5 This is a structural diagram of a wind turbine operation control device provided in an embodiment of the present application.

[0108] like Figure 5 As shown, the wind turbine operation control device 500 may include:

[0109] The acquisition module 510 may be used to obtain operating parameters of wind turbines in the wind farm;

[0110] The first determining module 520 may be configured to determine the remaining useful life RUL corresponding to each wind turbine generator set based on the operating parameters;

[0111] The prediction module 530 may be used to input the M RULs corresponding to each wind turbine into a preset economic model to obtain economic benefit index parameters of the wind farm;

[0112] The second determination module 540 may be configured to determine a target operation mode corresponding to each wind turbine generator set according to the economic benefit indicator parameter;

[0113] The control module 550 may be configured to control the operation of each wind turbine generator set based on a target operation mode corresponding to each wind turbine generator set.

[0114] In some embodiments, the first determining module 520 may include:

[0115] The first determining unit may be configured to determine, based on the operating parameters, M RULs corresponding to each wind turbine generator set, where a RUL is a RUL corresponding to a component of the wind turbine generator set, and M is a positive integer;

[0116] The prediction module 530 may include:

[0117] The second determining unit may be configured to input the M RULs corresponding to each wind turbine into the preset economic model to obtain the economic benefit index parameters of the wind farm.

[0118] In some embodiments, the first determining unit may be specifically configured to:

[0119] The operating parameters are respectively input into M first preset models to obtain the M RULs corresponding to each wind turbine generator set, and the components of the wind turbine generator set correspond one-to-one to the first preset models.

[0120] In some embodiments, the wind turbine operation control device 500 may further include:

[0121] A conversion module may be configured to convert each of the M RULs corresponding to each wind turbine into a target RUL in a preset format, thereby obtaining the M target RULs corresponding to each wind turbine;

[0122] The second determining unit may be specifically configured to:

[0123] The M target RULs corresponding to each wind turbine are input into the preset economic model to obtain the economic benefit index parameters of the wind farm.

[0124] In some embodiments, the second determining module 540 may include:

[0125] The life consumption rate corresponding to each operation mode and the economic benefit index parameter are input into the second preset model to obtain the target operation mode of each wind turbine generator set.

[0126] In some embodiments, the life consumption rate is the life consumption rate of each wind turbine generator set, or the life consumption rate of each component of each wind turbine generator set.

[0127] In some embodiments, the wind turbine operation control device 500 may further include:

[0128] The training module can be used to train the preset model through the cost function to obtain the preset economic model.

[0129] In some embodiments, the operating parameters include operating data, load data, and environmental data of each wind turbine in the wind farm.

[0130] In some embodiments, the target operating mode includes at least one of a power level adjustment mode, a load adjustment mode, and a noise adjustment mode.

[0131] The wind turbine operation control device provided in the embodiment of the present application can be used to execute the wind turbine operation control method provided in the above-mentioned method embodiments. Its implementation principles and technical effects are similar, and for the sake of brevity, they will not be repeated here.

[0132] Based on the same inventive concept, an embodiment of the present application also provides a controller.

[0133] Figure 6 This is a schematic diagram of the structure of a controller provided in an embodiment of the present application. Figure 6 As shown, the controller may include a processor 601 and a memory 602 storing computer program instructions.

[0134] Specifically, the processor 601 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0135] Memory 602 may include a large capacity memory for information or instructions. By way of example and not limitation, memory 602 may include a hard disk drive (HDD), a floppy disk drive, flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 602 may include removable or non-removable (or fixed) media. Where appropriate, memory 602 may be internal or external to the integrated gateway device. In a specific embodiment, memory 602 is a non-volatile solid-state memory. In a specific embodiment, memory 602 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0136] The processor 601 executes the wind turbine operation control method and apparatus provided in the above embodiments by acquiring and executing computer program instructions stored in the memory 602 .

[0137] In one example, the controller may further include a communication interface 603 and a bus 604. The processor 601, the memory 602, and the communication interface 603 are connected via the bus 604 and communicate with each other.

[0138] Bus 604 comprises hardware, software or both.For example, and not limitation, bus can comprise accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral control interconnect (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations.In suitable cases, bus 603 can comprise one or more buses.Although the present application embodiment describes and shows specific bus, the application considers any suitable bus or interconnection.

[0139] The embodiment of the present application further provides a computer storage medium, in which computer executable instructions are stored. The computer executable instructions are used to implement the wind turbine operation control method described in the embodiment of the present application.

[0140] In some possible embodiments, various aspects of the method provided in the present application can also be implemented in the form of a program product, which includes program code. When the program product is run on a computer device, the program code is used to enable the computer device to execute the steps of the method according to various exemplary embodiments of the present application described above in this specification. For example, the computer device can execute the wind turbine operation control method recorded in the embodiments of the present application.

[0141] The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0142] The present application is described with reference to the flowcharts and / or block diagrams of the methods, apparatuses and computer program products according to the present application. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as the combination 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 information processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable information 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.

[0143] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable information processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including 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.

[0144] These computer program instructions can also be loaded onto a computer or other programmable information processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions 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.

[0145] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A wind turbine operation control method, characterized in that: include: Acquiring operating parameters of wind turbines in the wind farm, wherein the operating parameters include operating data, load data, and environmental data of each wind turbine in the wind farm; Determining a remaining useful life (RUL) of each wind turbine generator set based on the operating parameters; Inputting the RUL corresponding to each wind turbine into a preset economic model to obtain an economic benefit index parameter of the wind farm, wherein the economic benefit index parameter includes at least one of operation and maintenance cost, electricity price income, and return on investment; Determining a target operating mode corresponding to each of the wind turbines according to the economic benefit index parameter, wherein the target operating mode includes at least one of a power level adjustment mode, a load adjustment mode, and a noise adjustment mode; Controlling the operation of each wind turbine generator set based on the target operation mode corresponding to each wind turbine generator set; Determining the remaining useful life RUL corresponding to each wind turbine generator set based on the operating parameters includes: Inputting the operating parameters into M first preset models respectively to obtain M RULs corresponding to each wind turbine generator set, where one RUL is a RUL corresponding to a component of the wind turbine generator set, M is a positive integer, and the components of the wind turbine generator set correspond one to one with the first preset models; Determining the target operation mode corresponding to each wind turbine generator set according to the economic benefit index parameter includes: The RUL consumption rate corresponding to each operating mode and the economic benefit index parameter are input into the second preset model to obtain the target operating mode of each wind turbine generator set.

2. The method according to claim 1, characterized in that The RUL corresponding to each wind turbine is input into a preset economic model to obtain the economic benefit index parameters of the wind farm, including: The M RULs corresponding to each wind turbine are input into the preset economic model to obtain the economic benefit index parameters of the wind farm.

3. The method according to claim 2, characterized in that Before inputting the M RULs corresponding to each wind turbine into the preset economic model to obtain the economic benefit index parameters of the wind farm, the method further includes: For the M RULs corresponding to each wind turbine, convert each RUL into a target RUL in a preset format to obtain the M target RULs corresponding to each wind turbine; Inputting the M RULs corresponding to each wind turbine into the preset economic model to obtain the economic benefit index parameters of the wind farm includes: The M target RULs corresponding to each wind turbine are input into the preset economic model to obtain the economic benefit index parameters of the wind farm.

4. The method according to claim 1, wherein The RUL consumption rate is the RUL consumption rate of each wind turbine generator set, or the RUL consumption rate of each component of each wind turbine generator set.

5. The method according to any one of claims 1 to 4, characterized in that: Before obtaining the operating parameters of the wind turbines in the wind farm, the method further includes: The preset model is trained through the cost function to obtain the preset economic model.

6. A wind turbine operation control device, characterized in that: include: An acquisition module is used to acquire operating parameters of wind turbines in the wind farm, wherein the operating parameters include operating data, load data and environmental data of each wind turbine in the wind farm; A first determining module is configured to determine a remaining useful life RUL corresponding to each of the wind turbine generator sets based on the operating parameters; a prediction module, configured to input the M RULs corresponding to each wind turbine into a preset economic model to obtain economic benefit index parameters of the wind farm, wherein the economic benefit index parameters include at least one of operation and maintenance cost, electricity price income, and return on investment; A second determining module is configured to determine a target operating mode corresponding to each of the wind turbines according to the economic benefit indicator parameter, wherein the target operating mode includes at least one of a power level adjustment mode, a load adjustment mode, and a noise adjustment mode; A control module, configured to control the operation of each wind turbine generator set based on a target operation mode corresponding to each wind turbine generator set; The first determination module includes a first determination unit, which is specifically configured to: input the operating parameters into M first preset models respectively to obtain the M RULs corresponding to each wind turbine, where one RUL is a RUL corresponding to a component of the wind turbine, M is a positive integer, and the components of the wind turbine correspond to the first preset models one-to-one; The second determining module is specifically configured to: The RUL consumption rate corresponding to each operating mode and the economic benefit index parameter are input into the second preset model to obtain the target operating mode of each wind turbine generator set.

7. A controller, characterized in that: The controller includes: a processor, and a memory storing computer program instructions; The processor reads and executes the computer program instructions to implement the wind turbine operation control method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the wind turbine operation control method according to any one of claims 1 to 5 is implemented.

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