Method and system for recycling waste heat of wind turbine generator

Abstract

The embodiment of the invention provides a waste heat recycling method and system for a wind turbine generator, and belongs to the technical field of wind power. The method comprises the steps of collecting operation state information of each target working device, and executing current wind turbine generator operation condition simulation based on the operation state information; determining energy consumption demand information of each target working device based on the current operation condition of the wind turbine generator; executing waste heat recovery electric energy distribution scheme simulation based on the waste heat recovery electric energy and the energy consumption demand information of each target working device; based on the waste heat recovery electric energy distribution scheme obtained through simulation, waste heat recovery electric energy distribution is executed; wherein the waste heat recovery electric energy is obtained based on conversion of waste heat collected by waste heat recovery devices arranged at the positions of all the heat production parts. According to the scheme, heat of the heat production component is recovered through the waste heat recovery device and converted into electric energy to meet the requirements of all target equipment, so that the utilization rate of waste heat is effectively increased, energy loss is reduced, and stable operation of the equipment under different working conditions is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method for recovering and utilizing waste heat of a wind turbine generator set and a system for recovering and utilizing waste heat of a wind turbine generator set. Background Art

[0002] With the continuous development of wind power technology, the power and scale of wind turbines have gradually increased, but their efficiency issues still face many challenges. During the operation of existing wind turbines, key components such as generators, gearboxes, and converters will generate a lot of heat during work. This heat is mainly dissipated through air cooling or water cooling, and finally dissipated into the cabin and discharged to the outside through natural convection. However, this waste heat treatment method has a significant energy waste problem, especially in areas with high altitudes or cold winters. Some key components also require 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 main problems: First, the heat dissipation system can only discharge heat into the surrounding environment, and fails to effectively utilize the waste heat, resulting in a large amount of energy loss. Secondly, the temperature inside the cabin continues to rise due to the influence of waste heat. Especially in large-megawatt wind turbines, 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 the cold winter environment, since components such as generators and converters need to maintain a certain operating temperature, existing solutions usually use independent heaters for heating, which not only leads to additional energy consumption, but also increases the complexity and operating cost of the system.

[0004] Therefore, the existing wind turbine heat dissipation and waste heat management solutions have the following defects: the waste heat generated cannot be reasonably recovered and reused, resulting in low energy utilization; the heat dissipation method is single and cannot dynamically adapt to environmental changes; at the same time, the adaptability to cold environments is insufficient, and additional energy investment is required to maintain normal operation. To solve these problems, a system that can efficiently recover and reuse the waste heat of wind turbines is urgently needed to improve energy utilization efficiency, reduce energy consumption, reduce system operating costs, and improve the overall equipment operation reliability. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method and system for recovering waste heat from a wind turbine generator set, so as to at least solve the problems of low energy utilization and inability to dynamically adapt to environmental changes in existing solutions.

[0006] In order to achieve the above-mentioned objectives, the first aspect of the present invention provides a method for recovering and utilizing waste heat from a wind turbine, the method comprising: collecting operating status information of each target working equipment, and performing a current wind turbine operating condition simulation based on the operating status information; determining the energy demand information of each target working equipment based on the current wind turbine operating condition; performing a waste heat recovery electric energy distribution scheme simulation based on waste heat recovery electric energy and the energy demand information of each target working equipment; performing waste heat recovery electric energy distribution based on the waste heat recovery electric energy distribution scheme obtained by simulation; wherein the waste heat recovery electric energy is obtained based on the conversion of waste heat collected by a waste heat recovery device arranged at the position of each heat-generating component.

[0007] Optionally, each target working equipment includes: any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment; the simulation of the current wind turbine operating condition based on the operating status information includes: simulating the current wind turbine operating condition based on the operating status information on a pre-built digital twin model of the current wind turbine based on each operating status information.

[0008] Optionally, the energy demand information of each target working equipment is determined based on the current operating condition of the wind turbine, including: determining the energy usage type and the corresponding energy usage of each target working equipment based on the current operating condition of the wind turbine; based on the energy usage type and the corresponding energy usage, performing electric energy conversion based on the digital twin model of the current wind turbine, to obtain the required electricity of each target working equipment as the energy demand information of each target working equipment.

[0009] Optionally, based on the energy usage type and the corresponding energy usage, the electric energy conversion is performed based on the digital twin model of the current wind turbine to obtain the required power of each target working equipment, including: 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 the working energy of the corresponding energy usage type as the second loss corresponding to each energy type; based on the first loss and the second loss, simulating the required power of each target working equipment in the digital twin model of the current wind turbine to obtain the required power of each target working equipment.

[0010] Optionally, 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.

[0011] Optionally, the simulation of the waste heat recovery electric energy distribution scheme based on the waste heat recovery electric energy and the energy demand information of each target working equipment includes: based on the minimum waste heat recovery electric energy distribution loss as the goal, the corresponding objective function is constructed with the waste heat recovery electric energy distribution amount of each target working equipment as a variable, expressed as:

[0012] 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; The weight for allocating the i-th target working equipment is determined; and a waste heat recovery electric energy allocation scheme simulation is performed based on the objective function.

[0013] Optionally, the objective function satisfies the following constraints:

[0014]

[0015] in, The total amount of electricity recovered from waste heat; The power requirement of the i-th target working device.

[0016] Optionally, the waste heat recovery electric energy distribution scheme obtained based on the simulation executes the waste heat recovery electric energy distribution, including: solving the objective function based on nonlinear programming until the iteration termination rule is met; generating a corresponding waste heat recovery electric energy distribution scheme based on the waste heat recovery electric energy distribution amount of each target working equipment in the latest iteration round; based on the waste heat recovery electric energy distribution scheme, distributing the preset recovered electric energy to each target working equipment.

[0017] A second aspect of the present invention provides a wind turbine waste heat recovery and utilization system, the system comprising: a collection unit, used to collect operating status information of each target working equipment, and perform current wind turbine operating condition simulation based on the operating status information; a processing unit, used to determine the energy demand information of each target working equipment based on the current wind turbine operating condition; a scheme simulation unit, used to perform waste heat recovery electric energy distribution scheme simulation based on waste heat recovery electric energy and the energy demand information of each target working equipment; an execution unit, used to execute waste heat recovery electric energy distribution based on the waste heat recovery electric energy distribution scheme obtained by simulation; wherein the waste heat recovery electric energy is obtained based on the conversion of waste heat collected by the waste heat recovery device set at the position of each heat generating component.

[0018] On the other hand, the present invention provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned method for recovering waste heat from a wind turbine set.

[0019] Through the above technical scheme, the scheme of the present invention can accurately predict the energy demand of each device by collecting the operating status information of each target working equipment and performing simulation of the current wind turbine operating conditions based on this information. Based on this demand information, combined with the simulation and optimized allocation of waste heat recovery electric energy, it is possible to achieve rational and efficient use of electric energy. Finally, the heat generating components are recovered through the waste heat recovery device and converted into electric energy to meet the needs of each target device, thereby effectively improving the utilization rate of waste heat, reducing energy loss, and ensuring the stable operation of the equipment under different working conditions.

[0020] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of steps of a method for recovering waste heat from a wind turbine set provided by one embodiment of the present invention; Figure 2 It is a logic diagram of waste heat recovery and utilization provided by one embodiment of the present invention; Figure 3 It is a system structure diagram of a wind turbine waste heat recovery and utilization system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0022] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0023] Figure 1 FIG. 1 is a flow chart of a method for recovering waste heat from a wind turbine generator set provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for recovering waste heat from a wind turbine generator set, the method comprising: Step S10: 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.

[0024] Specifically, each target working equipment includes: any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment; the simulation of the current wind turbine operating condition 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, simulating the current wind turbine operating condition based on the operating status information.

[0025] In the embodiment of the present invention, each target working device includes any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment. The collection of operating status information of these devices is very important because they determine the real-time feedback and evaluation of the overall operating conditions of the wind turbine.

[0026] Furthermore, in order to simulate the current operating conditions of wind turbines, a pre-built digital twin model was used. Digital twin technology is an innovative technology that can reflect and predict the operating status of wind turbines in real time by creating a digital model corresponding to the physical wind turbine. Based on the operating status information of each target working equipment, the digital twin model can simulate the operating conditions of wind turbines with high precision. This simulation can include many aspects, such as the working efficiency of power equipment, the energy consumption of heating equipment, the operating time of lighting equipment, and the storage and release of electric energy of energy storage equipment.

[0027] Furthermore, by simulating the operating status of each target working equipment, the operating efficiency and energy utilization of the equipment can be analyzed in real time, thus providing a reliable basis for waste heat recovery and electrical energy distribution. For example, power equipment will generate more heat when running at 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 equipment, such as heating equipment or energy storage equipment. In addition, for lighting equipment and energy storage equipment, simulation can help predict changes in their energy demand, thereby optimizing the distribution of waste heat electricity.

[0028] Simulations based on the digital twin model can significantly improve the efficiency of waste heat recovery electricity. By accurately simulating and analyzing the operating status of each target device, the system can dynamically adjust the allocation plan of waste heat electricity. For example, when the simulation results show that the heating equipment has a higher demand for waste heat electricity under low temperature conditions, the system can prioritize the allocation of waste heat electricity to the heating equipment to ensure its normal operation and reduce the use of additional heaters. At the same time, the operating condition simulation based on the digital twin can also detect abnormal conditions of the equipment, such as the operating temperature of the power equipment is too high or the power of the energy storage equipment is insufficient, so as to make timely adjustments and avoid failures.

[0029] Step S20: Based on the current operating conditions of the wind turbine generator system, determine the energy demand information of each target working equipment.

[0030] Specifically, based on the current operating conditions of the wind turbine, the energy usage type and the corresponding energy usage of each target working equipment are determined; based on the energy usage type and the corresponding energy usage, electric energy conversion is performed 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.

[0031] Furthermore, based on the energy usage type and the corresponding energy usage, the electric energy conversion is performed based on the digital twin model of the current wind turbine to obtain the required power of each target working equipment, including: 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 the working energy of the corresponding energy usage type as the second loss corresponding to each energy type; based on the first loss and the second loss, simulating the required power of each target working equipment in the digital twin model of the current wind turbine to obtain the required power of each target working equipment.

[0032] In the embodiment of the present invention, each target working device includes any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment. The collection of operating status information of these devices is very important because they determine the real-time feedback and evaluation of the overall operating conditions of the wind turbine.

[0033] Specifically, we first need to determine the energy usage type and corresponding energy usage of each target working equipment based on the operating conditions of the wind turbine. For example, power equipment may require mechanical energy, heating equipment requires thermal energy, and lighting equipment and energy storage equipment require electrical energy. Each type of energy usage has its own specific requirements, which determine the normal operation of each device.

[0034] Furthermore, in order to further achieve accurate energy management, based on the energy usage type and the corresponding energy usage, the digital twin model of the wind turbine is used to convert electricity to obtain the required electricity of each target working equipment. The digital twin model is a virtual digital system that can simulate the operating status of the physical wind turbine in real time. By converting electricity in the digital twin model, different types of energy demands can be converted into electricity demands for unified management and deployment. This process can ensure that each target working equipment obtains the required electricity under different operating conditions, thereby achieving the optimal allocation and use of energy.

[0035] In the process of electric energy conversion, many factors need to be considered to ensure the accuracy of the calculation results. Specifically, the conversion loss in the process of converting waste heat into electric energy needs to be considered first. This process converts waste heat into electric energy through a waste heat conversion device, and in this conversion process, a certain amount of loss will inevitably occur, 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 factors such as the quality and temperature of the waste heat.

[0036] Secondly, it is necessary to consider the losses incurred by each target working device in the process of converting electrical energy into the corresponding energy usage type. Different devices have different conversion efficiencies when using electrical energy. For example, there will be a certain amount of energy loss in the process of heating equipment converting electrical energy into thermal energy, and energy storage equipment will also have a certain amount of energy loss during the charging and discharging process. We call these losses incurred when converting electrical energy into working energy the second loss.

[0037] Based on the first loss and the second loss, the power demand of each target working equipment can be simulated in the digital twin model. Specifically, the digital twin model can accurately simulate and calculate the power demand of each target equipment in combination with the current operating conditions of the wind turbine, the energy usage type of each equipment and the corresponding loss. Through this simulation, the power demand of each target working equipment can be obtained, thereby providing a basis for the allocation of waste heat recovery electric energy.

[0038] Through this process of determining energy demand and converting electricity based on operating conditions, the reasonable allocation of electricity recovered from waste heat of wind turbines can be achieved. First, the use of digital twin models makes the simulation of the operating conditions of wind turbines more accurate and can reflect the changes in energy demand of each device in real time. Secondly, by considering the various loss factors in the process of waste heat conversion and electricity conversion, the actual needs of each device can be better evaluated, thereby optimizing the allocation of electricity. This method not only improves the utilization efficiency of waste heat recovery electricity, but also significantly reduces the energy loss during equipment operation, ultimately improving the overall energy efficiency of wind turbines.

[0039] Based on the solution of the present invention, through the simulation of operating conditions based on the digital twin model, the system can more accurately determine the energy demand of each target working equipment, reducing energy waste caused by unreasonable power distribution. At the same time, the simulation of the required power based on the conversion loss makes the entire waste heat recovery power distribution process more scientific and efficient, able to adapt to different environmental changes, and ensure that each device can obtain the required power under any circumstances. In this way, the system not only reduces the demand for additional electricity, but also improves the efficiency of waste heat reuse, thereby achieving energy conservation and emission reduction and reducing operating costs.

[0040] Preferably, each heat generating component comprises: any one or more of a generator, a gearbox, a converter, a hydraulic system, a transformer, a braking system and an auxiliary cooling device.

[0041] In the embodiments of the present invention, these components will inevitably generate a large amount of heat during the operation of the wind turbine, and if this heat is not utilized, it will cause serious energy waste. Generators, gearboxes and converters are the main sources of heat generation 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 fan; the transformer also inevitably generates heat loss during the voltage conversion process; the braking system generates a large amount of friction heat during emergency or routine braking operations; and the auxiliary cooling device, although used to cool other components, will also generate heat during operation. These heat-generating components can reuse the heat generated and convert it into useful electrical energy through a reasonable waste heat recovery system, thereby significantly improving the overall energy utilization efficiency of the wind turbine, reducing energy waste caused by improper heat dissipation, and improving the economic and environmental benefits of the entire system.

[0042] Step S30: simulating a waste heat recovery electric energy distribution scheme based on the waste heat recovery electric energy and the energy demand information of each target working equipment.

[0043] Specifically, 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:

[0044] 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; The weight for allocating the i-th target working equipment is determined; and a waste heat recovery electric energy allocation scheme simulation is performed based on the objective function.

[0045] Furthermore, the objective function satisfies the following constraints:

[0046]

[0047] in, The total amount of electricity recovered from waste heat; The power requirement of the i-th target working device.

[0048] In the embodiment of the present invention, each target working device has a different energy conversion efficiency through two constraints, which indicates the efficiency of the device itself in the process of converting waste heat into electrical energy. The higher the efficiency, the smaller the loss, and the better the system's effect of utilizing waste heat. In the objective function, It is used to measure the amount of loss in energy conversion. In other words, the goal is to minimize the energy loss in the conversion process when each device receives waste heat power. Therefore, optimizing the conversion efficiency can effectively reduce the overall power distribution loss.

[0049] Furthermore, in the objective function, Represents the transmission loss. This item is related to the distance between devices and the characteristics of the transmission line. The transmission loss increases in a square relationship with the increase of electric energy. Therefore, when distributing electric energy, the transmission distance and the line conditions of electric energy transmission need to be considered. By modeling the transmission loss, the destination of waste heat electric energy can be reasonably arranged in the distribution plan to minimize the loss during the transmission process. For example, for devices that are farther away, the allocated electric energy can be appropriately reduced, and priority can be given to those devices that are closer and have smaller transmission losses.

[0050] Furthermore, is the allocation weight of the i-th target working device, indicating the priority of the device in the waste heat power distribution. Different devices have different requirements. Some devices have higher requirements for stable operation, so they can be given higher weights when distributing power. By setting the allocation weights, the priority of power distribution can be flexibly adjusted according to the importance and operating conditions of each device. For example, for heating equipment operating in a low temperature environment, a higher weight can be set to ensure that it obtains enough power for heating, thereby avoiding the device from affecting normal operation due to low temperature.

[0051] Furthermore, in order to prevent equipment malfunction or energy waste due to excessive allocation of electric energy, and to ensure that all waste heat electric energy is reasonably allocated to avoid electric energy waste or insufficient allocation, corresponding objective function constraints are set.

[0052] Based on the scheme of the present invention, by modeling and optimizing the conversion process of waste heat into electrical energy, the system can minimize conversion losses and improve the conversion efficiency of waste heat. This can not only reduce energy waste, but also make more efficient use of waste heat in wind turbines.

[0053] In the transmission process of waste heat power, by modeling the transmission loss, the distribution of power can be made more reasonable and the energy loss in the transmission process can be reduced. Especially when the distance between wind turbine equipment is far, this optimization can significantly reduce the transmission loss. By accurately predicting and modeling the energy demand of each target working equipment, the system can ensure that each equipment obtains sufficient power to meet its normal operation needs and avoid equipment failure or unstable operation due to insufficient power. By setting reasonable distribution weights, the power supply of key equipment can be prioritized, especially under harsh operating conditions. This strategy can effectively improve the overall operating stability and reliability of wind turbines and reduce the risk of failures caused by low temperature or unreasonable energy distribution. By minimizing various types of losses in the power distribution process, the overall energy efficiency of wind turbines can be significantly improved, the demand for additional power can be reduced, and the goal of energy conservation and emission reduction can be achieved.

[0054] Step S40: executing waste heat recovery electric energy distribution based on the waste heat recovery electric energy distribution scheme obtained by simulation.

[0055] Specifically, the objective function is solved based on nonlinear programming until the iteration termination rule is met; a corresponding waste heat recovery electric energy distribution plan is generated based on the waste heat recovery electric energy distribution amount of each target working equipment in the latest iteration round; based on the waste heat recovery electric energy distribution plan, the preset recovered electric energy is distributed to each target working equipment.

[0056] In an embodiment of the present invention, 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 a possible implementation, the objective function is solved based on gradient descent, and the solution process is: 1) Initialization parameters: setting learning rate and initialization Initially assigned value for each device.

[0057] 2) Calculate the objective function The gradient is:

[0058] in, Assign variable to the i-th pair for the objective function f The partial derivative of The rate of change of the objective function f when a small change occurs.

[0059] 3) Update variables based on calculated gradients , the update rule is:

[0060] in, is the updated variable; is the learning rate.

[0061] 4) After each update, determine whether the updated variable satisfies If it is not satisfied, it is forced to be corrected. The correction rules are:

[0062] If the updated , then the correction is made through proportional adjustment, and the correction rule is: .

[0063] 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.

[0064] Based on the scheme of the present invention, the scheme of the present invention can significantly reduce the loss in the process of power distribution, improve the utilization rate of waste heat, reduce the demand for additional power, and ultimately improve the overall energy efficiency of the wind turbine. In addition, by iteratively solving and generating distribution schemes, it is ensured that each target working equipment can obtain the required power supply in any operating state, ensuring the stability and reliability of the system, meeting the goals of energy conservation, emission reduction and green development, and having significant application value and technical advantages.

[0065] In another possible implementation, the waste heat allocation is performed directly based on the priority of the target working equipment, such as Figure 2 First, the electricity generated by the waste heat recovery process enters the main control system, which checks the needs of each target working system in turn, including the power system, heating system, and lighting system. If a system has a useful energy demand, it will be allocated electricity to that system first, and when the demand is met or there is no demand, the next system will be checked. After the needs of the power system, heating system, and lighting system are processed in turn, the remaining waste heat electricity will be allocated to the energy storage system for storage for subsequent use. The entire process is coordinated by the main control system to ensure that the electricity needs of each system are met first, and the remaining part is stored.

[0066] Figure 3 FIG. 1 is a system structure diagram of a wind turbine waste heat recovery and utilization system provided by an embodiment of the present invention. Figure 3As shown, an embodiment of the present invention provides a wind turbine waste heat recovery and utilization system, the system comprising: a collection unit, used to collect operating status information of each target working equipment, and perform current wind turbine operating condition simulation based on the operating status information; a processing unit, used to determine the energy demand information of each target working equipment based on the current wind turbine operating condition; a scheme simulation unit, used to perform waste heat recovery electric energy distribution scheme simulation based on waste heat recovery electric energy and the energy demand information of each target working equipment; an execution unit, used to execute waste heat recovery electric energy distribution based on the waste heat recovery electric energy distribution scheme obtained by simulation; wherein, the waste heat recovery electric energy is obtained based on the conversion of waste heat collected by the waste heat recovery device set at the position of each heat generating component. The embodiment of the present invention further provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned method for recovering waste heat from a wind turbine set.

[0067] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several 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 invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0068] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0069] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

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 turbines, determine the energy demand information of each target working equipment; Execute waste heat recovery power distribution scheme simulation based on waste heat recovery power and energy demand information of each target working equipment; 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 arranged at the locations of various heat generating components.

2. The method according to claim 1, characterized in that Each target working device includes: Any one or more of power equipment, heating equipment, lighting equipment and energy storage equipment; The performing of 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 2, characterized in that The step of determining the energy demand information of each target working equipment based on the current operating condition of the wind turbine generator system includes: Based on the current operating conditions of the wind turbines, determine the energy usage type and corresponding energy usage of each target working equipment; Based on the energy usage type and the corresponding energy usage, electric energy conversion is performed 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.

4. The method according to claim 3, characterized in that The energy conversion is performed based on the energy usage type and the corresponding energy usage, based on the digital twin model of the current wind turbine, to obtain the required power of each target working equipment, including: The conversion loss of the waste heat conversion device of the current wind turbine generator set in converting waste heat into electrical energy is used as the first loss corresponding to each energy type; The loss of each target working device based on converting electric energy into working energy of the corresponding energy usage type is used as the second loss corresponding to each energy type; Based on the first loss and the second loss, a simulation of the power demand of each target working equipment is performed in the digital twin model of the current wind turbine generator system to obtain the power demand of each target working equipment.

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

6. The method according to claim 1, characterized in that The simulation of the waste heat recovery electric energy distribution scheme based on the waste heat recovery electric energy and the energy demand information of each target working equipment includes: 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; The allocation weight of the i-th target working device; A waste heat recovery electric energy distribution scheme simulation is performed based on the objective function.

7. The method according to claim 6, characterized in that The objective function satisfies the following constraints: in, The total amount of electricity recovered from waste heat; The power requirement of the i-th target working device.

8. The method according to claim 6, characterized in that The waste heat recovery electric energy distribution scheme based on the simulation is executed to distribute the waste heat recovery electric energy, including: Solving the objective function based on nonlinear programming until an iteration termination rule is satisfied; Generate a corresponding waste heat recovery electric energy distribution plan based on the waste heat recovery electric energy 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 accordingly.

9. A wind turbine waste heat recovery system, characterized in that: The system comprises: A collection unit, used to collect the operating status information of each target working equipment, and perform a current wind turbine operating condition simulation based on the operating status information; A processing unit, used to determine energy demand information of each target working equipment based on the current operating condition of the wind turbine generator set; A scheme simulation unit, used to perform waste heat recovery electric energy distribution scheme simulation based on waste heat recovery electric energy and energy demand information of each target working equipment; An execution unit is used to execute waste heat recovery electric energy distribution based on the waste heat recovery electric energy distribution scheme obtained by simulation; wherein, The waste heat recovery electric energy is obtained by converting waste heat collected by waste heat recovery devices arranged at the locations of various heat generating components.

10. 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 waste heat from a wind turbine set as described in any one of claims 1 to 8.

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