Energy-saving control method and device for variable pitch system of offshore wind turbine generator

Abstract

The invention provides an energy-saving control method and device for a variable pitch system of an offshore wind turbine generator, and relates to the technical field of offshore power generation. The method comprises the following steps: acquiring real-time related data corresponding to an offshore wind turbine generator, wherein the real-time related data at least comprises wind speed data and wind direction data; inputting real-time related data into the trained optimal pitch angle prediction model to obtain an optimal pitch angle output by the optimal pitch angle prediction model; controlling a variable pitch system of the offshore wind turbine generator based on the optimal pitch angle; and in the process of controlling the variable pitch system, kinetic energy generated when blades in the variable pitch system rotate is recycled. According to the method, the optimal pitch angle can be accurately calculated, it can be ensured that the fan can operate in the most efficient mode under any wind speed and wind direction conditions, and therefore the power output of the fan is maximized; by means of the energy recovery technology, kinetic energy generated when the blades in the variable pitch system rotate can be better utilized, and waste of excess energy is avoided.

Description

Technical Field

[0001] The present application relates to the field of offshore power generation technology, and in particular to an energy-saving control method and device for a variable pitch system of an offshore wind turbine. Background Art

[0002] As the global energy crisis intensifies, energy conservation and emission reduction have become important issues that need to be addressed in various industries. In this context, offshore wind power, as a clean and renewable energy source, has many advantages such as abundant wind resources, less land occupation, and less environmental interference. It is gradually regarded as one of the key ways to replace traditional fossil energy. The rapid development of offshore wind power not only helps to alleviate the problem of energy shortage, but also effectively reduces greenhouse gas emissions and promotes the global green energy transformation.

[0003] However, offshore wind turbines still face many technical challenges in actual operation, especially in improving energy efficiency. At present, offshore wind turbines have high energy consumption, especially in the operation of the variable pitch system, the energy consumption problem is particularly prominent. The variable pitch system is one of the core components of the wind turbine. Its main function is to control the output power of the wind turbine by adjusting the angle of the blades to adapt to different wind speeds and load changes. Although the variable pitch system can effectively ensure the stable operation of the wind turbine, in actual applications, the variable pitch system has high energy consumption, which not only affects the overall energy efficiency of the wind turbine, but also increases the operation and maintenance costs, further affecting the economic benefits of the enterprise.

[0004] At present, most offshore wind turbines have not fully considered the optimization of energy consumption when designing and controlling the pitch system, resulting in the pitch system consuming a lot of energy during the adjustment process. Therefore, how to reduce the energy consumption of the pitch system and improve the overall energy efficiency while ensuring the stable operation of the wind turbine has become an important issue that needs to be solved in the current offshore wind power technology. Summary of the invention

[0005] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0006] To this end, one purpose of the present application is to propose an energy-saving control method for a variable pitch system of an offshore wind turbine, comprising: collecting real-time relevant data corresponding to the offshore wind turbine, the real-time relevant data including at least wind speed data and wind direction data; inputting the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model; controlling the variable pitch system of the offshore wind turbine based on the optimal pitch angle; and in the process of controlling the variable pitch system, recovering the kinetic energy generated by the blades in the variable pitch system during rotation.

[0007] The second objective of the present application is to provide an energy-saving control device for a variable pitch system of an offshore wind turbine.

[0008] The third objective of the present application is to provide an electronic device.

[0009] A fourth object of the present application is to provide a non-transitory computer-readable storage medium.

[0010] A fifth object of the present application is to provide a computer program product.

[0011] To achieve the above-mentioned purpose, the first aspect of the present application proposes an energy-saving control method for a variable pitch system of an offshore wind turbine, comprising: collecting real-time relevant data corresponding to the offshore wind turbine, the real-time relevant data including at least wind speed data and wind direction data; inputting the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model; controlling the variable pitch system of the offshore wind turbine based on the optimal pitch angle; and in the process of controlling the variable pitch system, recovering the kinetic energy generated by the blades in the variable pitch system during rotation.

[0012] According to one embodiment of the present application, the energy-saving control method of the offshore wind turbine pitch system further includes: converting the recovered kinetic energy into hydraulic energy, and storing the hydraulic energy in a hydraulic accumulator.

[0013] According to one embodiment of the present application, the energy-saving control method of the variable pitch system of an offshore wind turbine also includes: converting the recovered kinetic energy into mechanical energy, and storing the mechanical energy in a mechanical energy storage device.

[0014] According to one embodiment of the present application, the energy-saving control method of the variable pitch system of an offshore wind turbine also includes: converting the recovered kinetic energy into electrical energy through electromagnetic induction, and storing the electrical energy.

[0015] According to one embodiment of the present application, a training method for an optimal pitch angle prediction model includes: obtaining a training sample set, each training sample in the training sample set including historical relevant data corresponding to the offshore wind turbine and the historical optimal pitch angle corresponding to the variable pitch system under the historical relevant data; training the optimal pitch angle prediction model to be trained based on the training sample set to obtain a trained optimal pitch angle prediction model.

[0016] According to one embodiment of the present application, a variable pitch system of an offshore wind turbine is controlled based on an optimal pitch angle, including: obtaining a real-time pitch angle of the variable pitch system of the offshore wind turbine; calculating a difference between the optimal pitch angle and the real-time pitch angle; and adjusting the blade pitch angle of the variable pitch system based on the difference.

[0017] According to one embodiment of the present application, the optimal pitch angle prediction model is generated based on a prediction algorithm, and the prediction algorithm is any one of a neural network algorithm, a fuzzy control algorithm, a genetic algorithm, and a particle swarm algorithm.

[0018] To achieve the above-mentioned purpose, the second aspect of the present application proposes an energy-saving control device for a variable pitch system of an offshore wind turbine, comprising: an acquisition module, used to collect real-time relevant data corresponding to the offshore wind turbine, the real-time relevant data including at least wind speed data and wind direction data; a prediction module, used to input the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model; a control module, used to control the variable pitch system of the offshore wind turbine based on the optimal pitch angle; a recovery module, used to recover the kinetic energy generated by the blades in the variable pitch system during rotation during the control of the variable pitch system.

[0019] According to one embodiment of the present application, the energy-saving control device of the offshore wind turbine pitch control system further includes: a storage module, which is used to convert the recovered kinetic energy into hydraulic energy and store the hydraulic energy in a hydraulic accumulator.

[0020] According to one embodiment of the present application, the energy-saving control device of the offshore wind turbine pitch control system also includes: a storage module, which is used to convert the recovered kinetic energy into mechanical energy and store the mechanical energy in a mechanical energy storage device.

[0021] According to one embodiment of the present application, the energy-saving control device of the offshore wind turbine variable pitch system also includes: a storage module, which is used to convert the recovered kinetic energy into electrical energy through electromagnetic induction and store the electrical energy.

[0022] According to one embodiment of the present application, the energy-saving control device of the variable pitch system of an offshore wind turbine also includes: a training module, used to obtain a training sample set, each training sample in the training sample set includes historical relevant data corresponding to the offshore wind turbine and the historical optimal pitch angle corresponding to the variable pitch system under the historical relevant data; based on the training sample set, the optimal pitch angle prediction model to be trained is trained to obtain a trained optimal pitch angle prediction model.

[0023] According to one embodiment of the present application, the control module is also used to: obtain the real-time pitch angle of the variable pitch system of the offshore wind turbine; calculate the difference between the optimal pitch angle and the real-time pitch angle; and adjust the blade pitch angle of the variable pitch system based on the difference.

[0024] According to one embodiment of the present application, the optimal pitch angle prediction model is generated based on a prediction algorithm, and the prediction algorithm is any one of a neural network algorithm, a fuzzy control algorithm, a genetic algorithm, and a particle swarm algorithm.

[0025] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the energy-saving control method of the variable pitch system of an offshore wind turbine as described in the first aspect embodiment of the present application.

[0026] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the energy-saving control method of the offshore wind turbine variable pitch system as described in the first aspect embodiment of the present application.

[0027] To achieve the above-mentioned purpose, the fifth aspect embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the energy-saving control method of the offshore wind turbine variable pitch system as described in the first aspect embodiment of the present application.

[0028] The present application achieves at least the following beneficial effects: by collecting wind speed and wind direction data in real time and inputting it into a trained optimal pitch angle prediction model, the present application can accurately calculate the optimal pitch angle, which helps to ensure that the wind turbine can operate in the most efficient manner under any wind speed and wind direction conditions, thereby maximizing the power output of the wind turbine; through energy recovery technology, the kinetic energy generated by the blades in the variable pitch system during rotation can be better utilized, avoiding the waste of excess energy and further improving energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0030] Figure 1 It is a schematic diagram of an exemplary implementation of an energy-saving control method for a pitch control system of an offshore wind turbine set shown in an embodiment of the present application.

[0031] Figure 2 It is a schematic diagram of an exemplary implementation of an energy-saving control method for a pitch control system of an offshore wind turbine set shown in an embodiment of the present application.

[0032] Figure 3 It is a schematic diagram of an energy-saving control device for a variable pitch system of an offshore wind turbine shown in one embodiment of the present application.

[0033] Figure 4 It is a schematic diagram of an electronic device shown in one embodiment of the present application. DETAILED DESCRIPTION

[0034] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0035] Figure 1 is a schematic diagram of an exemplary implementation of an energy-saving control method for a pitch control system of an offshore wind turbine generator set shown in the present application, such as Figure 1 As shown, the energy-saving control method of the variable pitch system of the offshore wind turbine generator set comprises the following steps:

[0036] S101, collecting real-time relevant data corresponding to the offshore wind turbines, where the real-time relevant data at least includes wind speed data and wind direction data.

[0037] The real-time relevant data at least includes wind speed data and wind direction data.

[0038] In some embodiments, in addition to wind speed data and wind direction data, the real-time related data also includes wind turbine operating status data (such as speed, load, temperature, etc.).

[0039] S102, inputting the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model.

[0040] S103, controlling a variable pitch system of the offshore wind turbine based on the optimal pitch angle.

[0041] The pitch angle refers to the angle between the wind turbine blades and the direction of the wind, and is usually used to control the power output and load of the wind turbine.

[0042] The wind turbine's variable pitch system is controlled by the calculated optimal pitch angle to adjust the blade angle of the wind turbine. The variable pitch system is responsible for adjusting the blade angle to the optimal position to adapt to changes in wind speed.

[0043] S104, in the process of controlling the pitch system, recovering the kinetic energy generated by the blades in the pitch system during rotation.

[0044] The embodiment of the present application collects real-time relevant data corresponding to the offshore wind turbine, and the real-time relevant data includes at least wind speed data and wind direction data; inputs the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model; controls the variable pitch system of the offshore wind turbine based on the optimal pitch angle; and in the process of controlling the variable pitch system, recovers the kinetic energy generated by the blades in the variable pitch system when they rotate. The present application can accurately calculate the optimal pitch angle by collecting wind speed and wind direction data in real time and inputting it into a trained optimal pitch angle prediction model, which helps to ensure that the wind turbine can operate in the most efficient manner under any wind speed and wind direction conditions, thereby maximizing the power output of the wind turbine; through energy recovery technology, the kinetic energy generated by the blades in the variable pitch system when they rotate can be better utilized to avoid the waste of excess energy and further improve energy utilization.

[0045] Furthermore, after the kinetic energy generated by the blades in the pitch system is recovered during rotation, the recovered kinetic energy can be converted into hydraulic energy and stored in a hydraulic accumulator. The hydraulic accumulator is similar to a high-pressure container that can release the stored hydraulic energy when needed.

[0046] Furthermore, after the kinetic energy generated by the blades in the pitch control system during rotation is recovered, the recovered kinetic energy can be converted into mechanical energy, and the mechanical energy can be stored in a mechanical energy storage device.

[0047] Furthermore, after the kinetic energy generated by the blades in the pitch control system during rotation is recovered, the recovered kinetic energy can be converted into electrical energy through electromagnetic induction and the electrical energy can be stored, for example, in a battery pack.

[0048] Figure 2 is a schematic diagram of an exemplary implementation of an energy-saving control method for a pitch control system of an offshore wind turbine generator set shown in the present application, such as Figure 2 As shown, the energy-saving control method of the offshore wind turbine variable pitch system comprises the following steps:

[0049] S201, collecting real-time relevant data corresponding to the offshore wind turbines, where the real-time relevant data at least includes wind speed data and wind direction data.

[0050] In some embodiments, in addition to wind speed data and wind direction data, the real-time related data also includes wind turbine operating status data (such as speed, load, temperature, etc.).

[0051] S202, inputting the real-time relevant data into a trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model.

[0052] Among them, the training method of the optimal pitch angle prediction model includes: obtaining a training sample set, each training sample in the training sample set includes historical relevant data corresponding to the offshore wind turbine and the historical optimal pitch angle corresponding to the variable pitch system under the historical relevant data; based on the training sample set, the optimal pitch angle prediction model to be trained is trained to obtain a trained optimal pitch angle prediction model.

[0053] The optimal pitch angle prediction model is generated based on a prediction algorithm, and the prediction algorithm is any one of a neural network algorithm, a fuzzy control algorithm, a genetic algorithm and a particle swarm algorithm.

[0054] S203, obtaining a real-time pitch angle of a variable pitch system of an offshore wind turbine.

[0055] S204, calculating the difference between the optimal pitch angle and the real-time pitch angle.

[0056] S205, adjusting the blade pitch angle of the variable pitch system based on the difference.

[0057] S206, in the process of controlling the pitch system, recovering the kinetic energy generated by the blades in the pitch system during rotation.

[0058] S207, converting the recovered kinetic energy into hydraulic energy, and storing the hydraulic energy in a hydraulic accumulator.

[0059] S208, converting the recovered kinetic energy into mechanical energy, and storing the mechanical energy in a mechanical energy storage device.

[0060] S209, converting the recovered kinetic energy into electrical energy through electromagnetic induction, and storing the electrical energy.

[0061] The embodiment of the present application can accurately calculate the optimal pitch angle by collecting wind speed and wind direction data in real time and inputting it into a trained optimal pitch angle prediction model, which helps to ensure that the wind turbine can operate in the most efficient manner under any wind speed and wind direction conditions, thereby maximizing the power output of the wind turbine; through energy recovery technology and storage technology, the kinetic energy generated by the blades in the variable pitch system during rotation can be better utilized, avoiding the waste of excess energy and further improving energy utilization.

[0062] Figure 3 is a schematic diagram of an energy-saving control device for a variable pitch system of an offshore wind turbine generator set shown in the present application, such as Figure 3 As shown, the energy-saving control device 300 of the offshore wind turbine variable pitch system includes a collection module 301, a prediction module 302, a control module 303 and a recovery module 304, wherein:

[0063] The acquisition module 301 is used to acquire real-time relevant data corresponding to the offshore wind turbines, and the real-time relevant data at least includes wind speed data and wind direction data.

[0064] The prediction module 302 is used to input the real-time relevant data into the trained optimal pitch angle prediction model to obtain the optimal pitch angle output by the optimal pitch angle prediction model.

[0065] The control module 303 is used to control the variable pitch system of the offshore wind turbine based on the optimal pitch angle.

[0066] The recovery module 304 is used to recover the kinetic energy generated by the blades in the pitch system when they rotate during the process of controlling the pitch system.

[0067] By collecting wind speed and direction data in real time and inputting it into a trained optimal pitch angle prediction model, the device can accurately calculate the optimal pitch angle, helping to ensure that the wind turbine can operate in the most efficient manner under any wind speed and wind direction conditions, thereby maximizing the power output of the wind turbine; through energy recovery technology, it can better utilize the kinetic energy generated by the rotation of the blades in the variable pitch system, avoid the waste of excess energy, and further improve energy utilization.

[0068] Furthermore, the energy-saving control device 300 of the offshore wind turbine pitch control system also includes: a storage module, which is used to convert the recovered kinetic energy into hydraulic energy and store the hydraulic energy in a hydraulic accumulator.

[0069] Furthermore, the energy-saving control device 300 of the offshore wind turbine pitch control system also includes: a storage module, which is used to convert the recovered kinetic energy into mechanical energy and store the mechanical energy in a mechanical energy storage device.

[0070] Furthermore, the energy-saving control device 300 of the offshore wind turbine pitch control system also includes: a storage module, which is used to convert the recovered kinetic energy into electrical energy through electromagnetic induction and store the electrical energy.

[0071] Furthermore, the energy-saving control device 300 of the variable pitch system of an offshore wind turbine also includes: a training module, used to obtain a training sample set, each training sample in the training sample set includes historical relevant data corresponding to the offshore wind turbine and the historical optimal pitch angle corresponding to the variable pitch system under the historical relevant data; based on the training sample set, the optimal pitch angle prediction model to be trained is trained to obtain a trained optimal pitch angle prediction model.

[0072] Furthermore, the control module 303 is also used to: obtain the real-time pitch angle of the variable pitch system of the offshore wind turbine; calculate the difference between the optimal pitch angle and the real-time pitch angle; and adjust the blade pitch angle of the variable pitch system based on the difference.

[0073] Furthermore, the optimal pitch angle prediction model is generated based on a prediction algorithm, and the prediction algorithm is any one of a neural network algorithm, a fuzzy control algorithm, a genetic algorithm and a particle swarm algorithm.

[0074] In order to implement the above embodiment, the present application embodiment also proposes an electronic device 400, such as Figure 4 As shown, the electronic device 400 includes: a processor 401 and a memory 402 communicatively connected to the processor, the memory 402 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 401 to implement the energy-saving control method of the offshore wind turbine variable pitch system as shown in the above embodiment.

[0075] In order to implement the above embodiments, the embodiments of the present application also propose a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the energy-saving control method of the offshore wind turbine variable pitch system as shown in the above embodiments.

[0076] In order to implement the above embodiments, the embodiments of the present application also propose a computer program product, including a computer program, which, when executed by a processor, implements the energy-saving control method of the offshore wind turbine variable pitch system as shown in the above embodiments.

[0077] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0078] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0079] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0080] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An energy-saving control method for a variable pitch system of an offshore wind turbine, characterized in that: include: Collecting real-time relevant data corresponding to the offshore wind turbines, wherein the real-time relevant data at least includes wind speed data and wind direction data; Inputting the real-time related data into a trained optimal pitch angle prediction model to obtain an optimal pitch angle output by the optimal pitch angle prediction model; Controlling a variable pitch system of the offshore wind turbine generator system based on the optimal pitch angle; In the process of controlling the pitch system, the kinetic energy generated by the blades in the pitch system during rotation is recovered.

2. The method according to claim 1, characterized in that The method further comprises: The recovered kinetic energy is converted into hydraulic energy and stored in a hydraulic accumulator.

3. The method according to claim 1, characterized in that: The method further comprises: The recovered kinetic energy is converted into mechanical energy and stored in a mechanical energy storage device.

4. The method according to claim 1, characterized in that: The method further comprises: The recovered kinetic energy is converted into electrical energy through electromagnetic induction, and the electrical energy is stored.

5. The method according to any one of claims 1 to 4, characterized in that The training method of the optimal pitch angle prediction model comprises: Acquire a training sample set, each training sample in the training sample set includes historical relevant data corresponding to the offshore wind turbine and a historical optimal pitch angle corresponding to the variable pitch system under the historical relevant data; The optimal pitch angle prediction model to be trained is trained based on the training sample set to obtain a trained optimal pitch angle prediction model.

6. The method according to claim 5, characterized in that The controlling the variable pitch system of the offshore wind turbine generator set based on the optimal pitch angle includes: Obtaining a real-time pitch angle of a variable pitch system of the offshore wind turbine; Calculating the difference between the optimal pitch angle and the real-time pitch angle; The blade pitch angle of the pitch system is adjusted based on the difference.

7. The method according to claim 5, characterized in that The optimal pitch angle prediction model is generated based on a prediction algorithm, and the prediction algorithm is any one of a neural network algorithm, a fuzzy control algorithm, a genetic algorithm and a particle swarm algorithm.

8. An energy-saving control device for a variable pitch system of an offshore wind turbine, characterized in that: include: A collection module, used to collect real-time relevant data corresponding to the offshore wind turbines, wherein the real-time relevant data at least includes wind speed data and wind direction data; A prediction module, used for inputting the real-time related data into a trained optimal pitch angle prediction model to obtain an optimal pitch angle output by the optimal pitch angle prediction model; A control module, configured to control a variable pitch system of the offshore wind turbine generator system based on the optimal pitch angle; The recovery module is used to recover the kinetic energy generated by the blades in the variable pitch system when they rotate during the process of controlling the variable pitch system.

9. An electronic device, comprising: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

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