Wind turbine waste heat recycling method and system

Abstract

The embodiment of the present application provides a kind of wind turbine waste heat recycling method and system, belong to wind power technology field.The method comprises: the operating state information of each target working equipment is collected, and current wind turbine operating condition simulation is executed based on the operating state information;Based on the operating condition of current wind turbine, the energy requirement information of each target working equipment is determined;Based on the energy requirement information of each target working equipment and waste heat recovery electric energy, waste heat recovery electric energy distribution scheme simulation is executed;Based on the waste heat recovery electric energy distribution scheme obtained by simulation, waste heat recovery electric energy distribution is executed;Wherein, the waste heat recovery electric energy is obtained based on the waste heat collected by the waste heat recovery device arranged at each heat generating component position.This application scheme recovers heat from heat generating components by waste heat recovery device, converts into electric energy to meet the demand of each target equipment, thereby effectively improves the utilization rate of waste heat, reduces energy consumption, and guarantees the stable operation of equipment under different conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of wind power technology, in particular to a wind turbine waste heat recycling method and a wind turbine waste heat recycling system. BACKGROUND

[0002] With the continuous development of wind power technology, the power and scale of wind turbine generators gradually increase, but the efficiency problem still faces many challenges. In the operation process of the existing wind turbine, the generator, gear box, converter and other key components will generate a large amount of heat in work. These heat is mainly dissipated through air cooling or water cooling, and finally dissipated to the cabin and discharged to the outside through natural convection. However, this waste heat treatment method has a significant energy waste problem, especially in high altitude or cold winter areas, some key components also need additional heaters for auxiliary heating, which further increases energy consumption and affects the overall energy utilization efficiency of the system.

[0003] The current heat dissipation scheme has the following problems: first, the heat dissipation system can only simply discharge heat to the surrounding environment, and cannot effectively utilize the generated waste heat, resulting in a large amount of energy being wasted. Secondly, the temperature inside the cabin is constantly rising due to the influence of waste heat, especially in large megawatt wind turbine generators, the high temperature of the cabin may have a negative impact on the stable operation of other components, increasing the failure rate and maintenance cost of the equipment. In addition, in cold winter environments, due to the need to maintain a certain working temperature of the generator and converter and other components, the existing scheme usually uses independent heaters for heating, which not only leads to additional power consumption, but also increases the complexity and operating cost of the system.

[0004] Therefore, the existing wind turbine heat dissipation and waste heat management scheme has the following defects: it fails to reasonably recycle and reuse the generated waste heat, resulting in low energy utilization rate; the heat dissipation method is single and cannot dynamically adapt to environmental changes; at the same time, it lacks adaptability to cold environments and requires additional energy input to maintain normal operation. To solve these problems, there is an urgent need for a system that can efficiently recycle wind turbine waste heat and reuse it to improve energy utilization efficiency, reduce energy consumption, reduce system operating costs, and improve the overall reliability of the equipment. SUMMARY

[0005] The purpose of the present application is to provide a wind turbine waste heat recycling method and system to at least solve the problems of low energy utilization rate and inability to dynamically adapt to environmental changes in the existing scheme.

[0006] To achieve the above object, the present application provides a wind turbine waste heat recycling method, which comprises the following steps: collecting running state information of each target working device, and performing current wind turbine running condition simulation based on the running state information; determining energy demand information of each target working device based on the running condition of the current wind turbine; performing waste heat recovery electric energy distribution scheme simulation based on the waste heat recovery electric energy and the energy demand information of each target working device; and performing waste heat recovery electric energy distribution based on the simulated waste heat recovery electric energy distribution scheme, wherein the waste heat recovery electric energy is obtained by converting the waste heat collected by the waste heat recovery device arranged at each heat generating component.

[0007] Optionally, the target working device comprises any one or more of a power device, a heating device, an illumination device and an energy storage device; the current wind turbine running condition simulation based on the running state information comprises simulating the current wind turbine running condition on the pre-built digital twin model of the current wind turbine based on the running state information.

[0008] Optionally, the determination of the energy demand information of each target working device based on the running condition of the current wind turbine comprises determining the energy source type and the corresponding energy source consumption of each target working device based on the running condition of the current wind turbine; and performing electric energy conversion based on the energy source type and the corresponding energy source consumption and the digital twin model of the current wind turbine to obtain the required electric energy of each target working device as the energy demand information of each target working device.

[0009] Optionally, the electric energy conversion based on the energy source type and the corresponding energy source consumption and the digital twin model of the current wind turbine to obtain the required electric energy of each target working device comprises: taking the conversion loss of the waste heat conversion device of the current wind turbine as a first loss corresponding to each energy source type; taking the loss of each target working device based on electric energy conversion into working energy of the corresponding energy source type as a second loss corresponding to each energy source type; and performing demand electric energy simulation of each target working device in the digital twin model of the current wind turbine based on the first loss and the second loss to obtain the required electric energy of each target working device.

[0010] Optionally, the heat generating component comprises any one or more of a generator, a gear box, a converter, a hydraulic system, a transformer, a brake system and an auxiliary cooling device.

[0011] Optionally, the waste heat recovery electric energy distribution scheme simulation based on the waste heat recovery electric energy and the energy demand information of each target working device comprises: taking the minimum distribution loss of the waste heat recovery electric energy as an objective, and constructing a corresponding objective function with the waste heat recovery electric energy distribution amount of each target working device as a variable, which is represented as:

[0012]

[0013] wherein, is the waste heat recovery electric energy allocation amount of the i th target working device; is the energy conversion efficiency of the i th target working device; is the transmission loss coefficient of the i th target working device; is the allocation weight of the i th target working device; based on the objective function, the waste heat recovery electric energy allocation scheme simulation is performed.

[0014] Optionally, the objective function satisfies the following constraints:

[0015]

[0016]

[0017] wherein, is the total amount of waste heat recovery electric energy; is the required electric energy amount of the i th target working device.

[0018] Optionally, based on the simulated waste heat recovery electric energy allocation scheme, the waste heat recovery electric energy allocation is performed, including: based on the nonlinear programming, the objective function is solved until the iteration termination rule is satisfied; based on the waste heat recovery electric energy allocation amount of each target working device in the latest iteration round, the corresponding waste heat recovery electric energy allocation scheme is generated; based on the waste heat recovery electric energy allocation scheme, the preset recovery electric energy is allocated to each target working device.

[0019] The second aspect of the present application provides a wind turbine waste heat recovery system, the system comprising: a collection unit for collecting the running state information of each target working device, and performing current wind turbine running condition simulation based on the running state information; a processing unit for determining the energy demand information of each target working device based on the running condition of the current wind turbine; a scheme simulation unit for performing waste heat recovery electric energy allocation scheme simulation based on the waste heat recovery electric energy and the energy demand information of each target working device; an execution unit for performing waste heat recovery electric energy allocation based on the simulated waste heat recovery electric energy allocation scheme; wherein the waste heat recovery electric energy is obtained based on the waste heat collected by the waste heat recovery device arranged at each heat generating component.

[0020] In another aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores instructions, which when executed on a computer, cause the computer to perform the wind turbine waste heat recovery method described above.

[0021] By the technical scheme, the energy demand of each device can be accurately predicted by collecting the running state information of each target working device and performing simulation of the current wind turbine running condition based on the information. Based on the demand information, the simulation and optimized distribution of the waste heat recovery electric energy can be performed, so that the rationalization and high efficiency of electric energy utilization can be realized. Finally, the heat of the heat generating components is recovered by the waste heat recovery device, and is converted into electric energy to meet the demand of each target device, so that the utilization rate of waste heat is effectively improved, the energy consumption is reduced, and the stable operation of the device under different conditions is ensured.

[0022] Other features and advantages of the present application will be described in detail in the following detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0023] The accompanying drawings are included to provide a further understanding of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and serve to explain the principles of the present application, but are not intended to limit the present application. In the drawings:

[0024] Figure 1 is a step flow chart of a wind turbine waste heat recovery method provided by an embodiment of the present application;

[0025] Figure 2 is a logic diagram of waste heat recovery provided by an embodiment of the present application;

[0026] Figure 3 is a system structure diagram of a wind turbine waste heat recovery system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present application, and are not intended to limit the present application.

[0028] Figure 1 is a method flow chart of a wind turbine waste heat recovery method provided by an embodiment of the present application. As shown in Figure 1 , the present application provides a wind turbine waste heat recovery method, which comprises:

[0029] Step S10: Collecting the running state information of each target working device, and performing simulation of the current wind turbine running condition based on the running state information.

[0030] Specifically, each target working device includes any one or more of a power device, a heating device, an illumination device, and an energy storage device; and the simulation of the current wind turbine operating condition based on the operating state information includes simulating the current wind turbine operating condition on a pre-built digital twin model of the current wind turbine based on the operating state information.

[0031] In the embodiments of the present application, each target working device includes any one or more of a power device, a heating device, an illumination device, and an energy storage device. The collection of operating state information of these devices is crucial because it determines the real-time feedback and evaluation of the overall operating condition of the wind turbine.

[0032] Further, in order to simulate the operating condition of the current wind turbine, a pre-built digital twin model is used. Digital twin technology is an innovative technology that can reflect and predict the operating state of the wind turbine in real time by creating a digital model corresponding to the physical wind turbine. Based on the operating state information of each target working device, the digital twin model can accurately simulate the operating condition of the wind turbine. This simulation can include various aspects, such as the working efficiency of the power device, the energy consumption of the heating device, the running time of the illumination device, and the storage and release of electrical energy of the energy storage device.

[0033] Further, by simulating the operating state of each target working device, the running efficiency and energy utilization of the device can be analyzed in real time, thereby providing a reliable basis for waste heat recovery and electrical energy distribution. For example, the power device generates more heat when it is running under high load. Through the simulation of the digital twin model, it can be determined whether this heat can be effectively recovered and used for other devices, such as heating devices or energy storage devices. In addition, for illumination devices and energy storage devices, simulation can help predict changes in their energy demand, thereby optimizing the distribution of waste heat and electrical energy.

[0034] The simulation based on the digital twin model can significantly improve the utilization efficiency of waste heat recovery and electrical energy. By accurately simulating and analyzing the operating state of each target device, the system can dynamically adjust the distribution scheme of waste heat and electrical energy. For example, when the simulation result shows that the heating device has a higher demand for waste heat and electrical energy under low temperature conditions, the system can preferentially allocate waste heat and electrical energy to the heating device to ensure its normal operation and reduce the use of additional heaters. At the same time, based on the digital twin operating condition simulation, abnormal states of the device can also be found, such as high operating temperature of the power device or insufficient electrical energy of the energy storage device, so that timely adjustments can be made to avoid faults.

[0035] Step S20: Based on the operating condition of the current wind turbine, determine the energy demand information of each target working device.

[0036] Specifically, based on the current operating condition of the wind turbine, the energy use type and the corresponding energy use amount of each target working device are determined; based on the energy use type and the corresponding energy use amount, the digital twin model of the current wind turbine is used for electric energy conversion to obtain the demand electric quantity of each target working device as the energy demand information of each target working device.

[0037] Further, the electric energy conversion based on the digital twin model of the current wind turbine based on the energy use type and the corresponding energy use amount to obtain the demand electric quantity of each target working device comprises: taking the conversion loss of the waste heat conversion device of the current wind turbine for converting waste heat into electric energy as the first loss corresponding to each energy type; taking the loss of each target working device for converting electric energy into working energy of the corresponding energy use type as the second loss corresponding to each energy type; based on the first loss and the second loss, the demand electric quantity of each target working device is simulated in the digital twin model of the current wind turbine to obtain the demand electric quantity of each target working device.

[0038] In the embodiments of the present application, each target working device includes any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment. The collection of the operating state information of these devices is crucial because they determine the real-time feedback and evaluation of the overall operating condition of the wind turbine.

[0039] Specifically, first, based on the operating condition of the wind turbine, the energy use type and the corresponding energy use amount of each target working device are determined. For example, the power equipment may require mechanical energy, the heating equipment requires heat energy, and the lighting equipment and the energy storage equipment require electric energy. Each type of energy use has its specific demand, which determines the normal operation of each device.

[0040] Further, in order to further realize accurate energy management, based on the energy use type and the corresponding energy use amount, electric energy conversion is carried out through the digital twin model of the wind turbine to obtain the demand electric quantity of each target working device. The digital twin model is a virtual digital system that can simulate the operating state of the physical wind turbine in real time. By carrying out electric energy conversion in the digital twin model, different types of energy demand can be converted into electric energy demand for unified management and allocation. This process can ensure that each target working device obtains the required electric energy under different operating conditions, thereby realizing optimal allocation and use of energy.

[0041] In the process of electrical energy conversion, various factors need to be considered to ensure the accuracy of the calculation results. Specifically, first, the conversion loss in the process of converting waste heat into electrical energy needs to be considered. This process is through the waste heat conversion device to convert waste heat into electrical energy, and in this conversion process, a certain loss will inevitably be generated, which we call the first loss. The size of the first loss depends on the efficiency of the waste heat conversion device, as well as the quality and temperature of the waste heat, etc.

[0042] Secondly, the loss generated by each target working device in the process of converting electrical energy into the corresponding energy use type needs to be considered. Different devices have different conversion efficiencies when using electrical energy. For example, there will be a certain energy loss in the process of heating devices converting electrical energy into heat energy, and there will also be a certain energy loss in the charging and discharging process of energy storage devices. We call these losses in the process of converting electrical energy into working energy as the second loss.

[0043] Based on the first loss and the second loss, the demand power simulation of each target working device can be carried out in the digital twin model. Specifically, the digital twin model can combine the current operating conditions of the wind turbine, as well as the energy use type and corresponding loss of each device, to accurately simulate and calculate the electrical energy demand of each target device. Through this simulation, the demand power of each target working device can be obtained, thereby providing a basis for the allocation of waste heat recovery electrical energy.

[0044] Through this process of energy demand determination based on operating conditions and electrical energy conversion, the reasonable allocation of wind turbine waste heat recovery electrical energy can be realized. First, the use of the digital twin model makes the simulation of the operating conditions of the wind turbine more accurate, and can reflect the energy demand changes of each device in real time. Secondly, by considering various loss factors in the process of waste heat conversion and electrical energy conversion, the actual demand of each device can be better evaluated, thereby optimizing the allocation of electrical energy. This way not only improves the utilization efficiency of waste heat recovery electrical energy, but also significantly reduces the energy loss in the operation of the device, ultimately improving the overall energy efficiency of the wind turbine.

[0045] Based on the scheme of the present application, through the operating condition simulation based on the digital twin model, the system can more accurately determine the energy demand of each target working device, reducing the energy waste caused by unreasonable allocation of electrical energy. At the same time, based on the conversion loss, the demand power simulation makes the entire waste heat recovery electrical energy allocation process more scientific and efficient, which can adapt to different environmental changes and ensure that each device can obtain the required electrical energy under any circumstances. In this way, the system not only reduces the demand for additional electrical energy, but also improves the efficiency of waste heat reuse, thereby achieving energy saving and emission reduction and reducing operating costs.

[0046] Preferably, each heat generating component includes any one or more of a generator, a gearbox, a converter, a hydraulic system, a transformer, a braking system, and an auxiliary cooling device.

[0047] In embodiments of the present application, these components inevitably generate a large amount of heat during the operation of the wind turbine generator, and if not utilized, this heat will cause serious energy waste. The generator, gearbox and converter are the main heat sources because they involve complex mechanical movement and power conversion in the process of converting wind energy into electrical energy; the hydraulic system generates heat when controlling the angle and position of the wind turbine; the transformer inevitably generates heat loss during voltage conversion; the braking system generates a large amount of friction heat when performing emergency or regular braking operations; and the auxiliary cooling device itself generates heat during operation although it is used to cool other components. These heat generating components can reuse the generated heat through a reasonable waste heat recovery system to convert it into useful electrical energy, thereby significantly improving the overall energy utilization efficiency of the wind turbine generator, reducing energy waste due to improper heat dissipation, and improving the economic and environmental benefits of the entire system.

[0048] Step S30: Perform waste heat recovery electric energy distribution scheme simulation based on the waste heat recovery electric energy and the energy demand information of each target working device.

[0049] Specifically, based on the objective of minimizing waste heat recovery electric energy distribution loss, a corresponding objective function is constructed with the waste heat recovery electric energy distribution amount of each target working device as a variable, which is expressed as:

[0050]

[0051] wherein, is the waste heat recovery electric energy distribution amount of the i-th target working device; is the energy conversion efficiency of the i-th target working device; is the transmission loss coefficient of the i-th target working device; is the distribution weight of the i-th target working device; and

[0052] Further, the objective function satisfies the following constraints:

[0053]

[0054]

[0055] wherein, is the total amount of waste heat recovery electric energy; is the demand electric amount of the i-th target working device.

[0056] In the embodiments of the present application, two constraints are used to represent the different energy conversion efficiencies of each target working device, which indicates how efficient the device itself is in the process of converting waste heat into electrical energy. The higher the efficiency, the less the loss, and the better the system utilizes the waste heat. In the objective function, is used to measure the amount of loss in energy conversion. In other words, the goal is to minimize the energy loss that occurs during the conversion process when each device receives waste heat electrical energy. Therefore, optimizing the conversion efficiency can effectively reduce the overall electrical energy distribution loss.

[0057] Further, in the objective function, represents the transmission loss. This item is related to the distance between devices and the characteristics of the transmission line. Transmission loss increases in a square relationship with the amount of electrical energy, so the transmission distance and the line conditions of electrical energy transmission need to be considered when distributing electrical energy. By modeling the transmission loss, the destination of waste heat electrical energy can be reasonably arranged in the distribution scheme to minimize the loss during transmission. For example, for devices that are far away, the amount of electrical energy allocated to them can be reduced, and devices that are closer and have less transmission loss are given priority.

[0058] Further, is the allocation weight of the i-th target working device, which represents the priority of the device in the distribution of waste heat electrical energy. Different devices have different needs, and some devices have higher requirements for stable operation, so they can be given higher weights when distributing electrical energy. By setting the allocation weight, the allocation priority of electrical energy can be flexibly adjusted according to the importance and operating conditions of each device. For example, for heating devices operating in low-temperature environments, a higher weight can be set to ensure that they receive enough electrical energy for heating, thereby avoiding the impact of low temperature on normal operation of the device.

[0059] Further, in order to prevent the device from working abnormally or wasting energy due to excessive allocation of electrical energy, and to ensure that all waste heat electrical energy is reasonably distributed, avoiding the situation of electrical energy waste or insufficient distribution, the corresponding objective function constraint is set.

[0060] Based on the scheme of the present application, by modeling and optimizing the conversion process of waste heat into electrical energy, the system can minimize conversion loss and improve the conversion efficiency of waste heat. This not only reduces energy waste, but also makes more efficient use of the waste heat in the wind turbine.

[0061] In the process of waste heat electric energy transmission, by modeling the transmission loss, the distribution of electric energy can be made more reasonable, and the energy loss in the transmission process can be reduced. Especially in the case of long distance between wind turbine equipment, this optimization can significantly reduce the transmission loss. By accurately predicting and modeling the energy demand of each target working device, the system can ensure that each device obtains sufficient electric energy to meet the demand of its normal operation, avoiding device failure or unstable operation due to insufficient electric energy. By setting reasonable weight distribution, the electric energy supply of key devices can be prioritized, especially in harsh operating conditions. This strategy can effectively improve the overall operation stability and reliability of the wind turbine, and reduce the risk of failure caused by low temperature or unreasonable energy distribution. By minimizing the various losses in the process of electric energy distribution, the overall energy efficiency of the wind turbine can be significantly improved, reducing the demand for additional electric energy, thereby achieving the goal of energy saving and emission reduction.

[0062] Step S40: Based on the obtained waste heat recovery electric energy distribution scheme, the waste heat recovery electric energy distribution is performed.

[0063] Specifically, the target function is solved based on nonlinear programming until the iteration termination rule is met; a corresponding waste heat recovery electric energy distribution scheme is generated based on the waste heat recovery electric energy distribution amount of each target working device in the latest iteration round; and the preset recovery electric energy is distributed to each target working device based on the waste heat recovery electric energy distribution scheme.

[0064] In the embodiments of the present application, a nonlinear optimization method (such as gradient descent, Lagrange multiplier method or mixed integer nonlinear programming tool) is used to gradually approach the global optimal solution through iteration. In one possible implementation, the target function is solved based on gradient descent, and the solving process is as follows:

[0065] 1) Initialize parameters: set learning rate and initialize the initial allocation value for each device.

[0066] 2) Calculate the gradient of the target function :

[0067]

[0068] where, is the partial derivative of the target function f with respect to the i-th allocation variable , indicating the rate of change of the target function f when a small change occurs.

[0069] 3) Update each variable based on the calculated gradient, and the update rule is:

[0070]

[0071] wherein, is the updated variable; is the learning rate.

[0072] 4) After each update, determine whether the updated variable satisfies If not, force correction, and the correction rule is:

[0073]

[0074] If the updated , then correct by proportional adjustment, and the correction rule is:

[0075] .

[0076] 5) Repeat steps 2) to 4) until one of the following conditions is met: the modulus of the current gradient is lower than the threshold or the number of iterations reaches the preset maximum value.

[0077] Based on the scheme of the present application, the scheme of the present application can significantly reduce the loss in the process of electric energy distribution, improve the utilization rate of waste heat, reduce the demand for additional electric energy, and ultimately improve the overall energy efficiency of the wind turbine. In addition, by iteratively solving and generating a distribution scheme, it is ensured that each target working device can obtain the required electric energy supply in any operating state, ensuring the stability and reliability of the system, meeting the goals of energy saving and emission reduction and green development, and having significant application value and technical advantages.

[0078] In another possible implementation, the waste heat distribution is directly based on the priority of the target working device, such as Figure 2 First, the electric energy generated by the waste heat recovery process enters the main control system, and the main control system checks the demand of each target working system in turn, including the power system, the heating system and the lighting system. If a system has energy demand, the electric energy is preferentially distributed to the system, and when the demand is met or there is no demand, the next system is checked. After the demand of the power system, the heating system and the lighting system is processed in turn, the remaining waste heat electric energy is distributed to the energy storage system for storage for subsequent use. The whole process is coordinated by the main control system to ensure that the electric energy demand of each system is preferentially met, and the remaining part is stored.

[0079] Figure 3 is the system structure diagram of the wind turbine waste heat recovery and utilization system provided by an embodiment of the present application. As Figure 3As shown, the embodiment of the present application provides a wind turbine waste heat recycling system, which comprises: a collection unit for collecting the running state information of each target working device and performing current wind turbine running condition simulation based on the running state information; a processing unit for determining the energy demand information of each target working device based on the running condition of the current wind turbine; a scheme simulation unit for performing waste heat recycling electric energy distribution scheme simulation based on the waste heat recycling electric energy and the energy demand information of each target working device; and an execution unit for performing waste heat recycling electric energy distribution based on the simulated waste heat recycling electric energy distribution scheme; wherein the waste heat recycling electric energy is obtained by converting the waste heat collected by the waste heat recycling device arranged at each heat generating component position.

[0080] The embodiment of the present application also provides a computer readable storage medium, which stores instructions, and the instructions make the computer execute the wind turbine waste heat recycling method when the computer runs.

[0081] Those skilled in the art can understand that all or part of the steps of the method of the above-mentioned embodiment can be completed by programs instructing the related hardware, the programs are stored in a storage medium, and the programs include a plurality of instructions for making a single-chip microcomputer, a chip or a processor execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk and various storage medium capable of storing program codes.

[0082] The above describes the optional embodiments of the present application in detail in combination with the drawings, but the embodiments of the present application are not limited to the specific details in the above-mentioned embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present application within the technical concept of the embodiments of the present application, and these simple modifications all belong to the protection scope of the embodiments of the present application. In addition, it should be noted that each specific technical feature described in the above-mentioned specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present application will not further describe various possible combination manners.

[0083] In addition, various different embodiments of the present application can also be combined in any manner, as long as it does not deviate from the idea of the embodiments of the present application, and it should also be considered as the disclosed content of the embodiments of the present application.

Claims

1. A method for recovering waste heat from a wind turbine generator set, characterized in that: The method comprises: Collecting the operating status information of each target working equipment, and performing a current wind turbine operating condition simulation based on the operating status information; Based on the current operating conditions of the wind turbine, determine the energy usage type and corresponding energy usage of each target working equipment; based on the energy usage type and corresponding energy usage, perform power conversion based on the digital twin model of the current wind turbine to obtain the required power of each target working equipment as the energy demand information of each target working equipment; The method of converting electric energy based on the energy usage type and the corresponding energy usage amount and based on the digital twin model of the current wind turbine to obtain the required power of each target working equipment includes: taking the conversion loss of the waste heat conversion device of the current wind turbine to convert waste heat into electric energy as the first loss corresponding to each energy type; taking the loss of each target working equipment based on the conversion of electric energy into working energy of the corresponding energy usage type as the second loss corresponding to each energy type; simulating the required power of each target working equipment in the digital twin model of the current wind turbine based on the first loss and the second loss to obtain the required power of each target working equipment; Execute waste heat recovery power distribution plan simulation based on waste heat recovery power and energy demand information of each target working equipment, including: Based on the goal of minimizing the waste heat recovery power distribution loss, the corresponding objective function is constructed with the waste heat recovery power distribution amount of each target working equipment as a variable, which is expressed as: in, The amount of waste heat recovery electric energy allocated to the i-th target working equipment; The energy conversion efficiency of the i-th target working device; is the transmission loss coefficient of the i-th target working device; Assigning a weight to the i-th target working device; simulating a waste heat recovery power distribution scheme based on the objective function; Based on the waste heat recovery power distribution scheme obtained by simulation, the waste heat recovery power distribution is executed; wherein, The waste heat recovery electric energy is obtained by converting waste heat collected by waste heat recovery devices installed at the locations of various heat-generating components.

2. The method according to claim 1, characterized in that The target working devices include: Any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment; The performing of the current wind turbine operating condition simulation based on the operating status information includes: Based on each operating status information, on a pre-built digital twin model of the current wind turbine generator set, the operating condition of the current wind turbine generator set is simulated based on the operating status information.

3. The method according to claim 1, characterized in that The heat-generating components include: Any one or more of a generator, gearbox, converter, hydraulic system, transformer, brake system and auxiliary cooling device.

4. The method according to claim 1, wherein The objective function satisfies the following constraints: in, The total amount of electricity recovered from waste heat; is the power requirement of the i-th target working device.

5. The method according to claim 1, wherein The waste heat recovery power distribution scheme obtained based on the simulation is used to perform waste heat recovery power distribution, including: Solving the objective function based on nonlinear programming until an iteration termination rule is satisfied; Generate a corresponding waste heat recovery power distribution plan based on the waste heat recovery power distribution amount of each target working equipment in the latest iteration round; Based on the waste heat recovery electric energy distribution scheme, the preset recovered electric energy is distributed to each target working equipment.

6. A wind turbine waste heat recovery and utilization system, characterized in that: The system is applied to the method for recovering waste heat from a wind turbine generator set according to any one of claims 1 to 5, and the system comprises: A collection unit, configured to collect operating status information of each target working device and perform a current wind turbine operating condition simulation based on the operating status information; A processing unit, configured to determine energy demand information of each target working equipment based on the current operating condition of the wind turbine; A scheme simulation unit, configured to simulate a waste heat recovery electric energy distribution scheme based on waste heat recovery electric energy and energy demand information of each target working equipment; The execution unit is used to execute the waste heat recovery power distribution based on the waste heat recovery power distribution scheme obtained by simulation; wherein, The waste heat recovery electric energy is obtained by converting waste heat collected by waste heat recovery devices installed at the locations of various heat-generating components.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method for recovering and utilizing waste heat from a wind turbine generator set according to any one of claims 1 to 5.

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