Wind driven generator collaborative management system and method applying data analysis technology

Abstract

The invention relates to the technical field of wind driven generator collaborative management, in particular to a wind driven generator collaborative management system and method applying a data analysis technology. According to the invention, the power generation efficiency of the single large-scale wind driven generator is improved by fully utilizing a relatively large space below the large-scale wind driven generator, better wind power resources and a power grid which the large-scale wind driven generator has, and the cabin equipment of the large-scale wind driven generator is ensured to have a stable double-loop power supply; meanwhile, according to different operation states of each large wind driven generator, the cooperative management mode between each large wind driven generator and the corresponding cooperative wind driven generator set can be adaptively adjusted; and a data support is provided for making an operation and maintenance decision when a plurality of first wind driven generators simultaneously send power-off early warning prompt information.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine collaborative management, and in particular to a wind turbine collaborative management system and method using data analysis technology. Background Art

[0002] Installing wind turbines can help reduce greenhouse gas emissions, combat global warming, and promote green and low-carbon energy transformation. The installation of wind turbines requires a series of conditions, which cover geographical environment, wind resources, infrastructure, meteorology, safety and other aspects. In particular, the installation of large wind turbines often requires wind resource assessment, soil survey, geological analysis and environmental impact assessment. These tasks usually require a lot of manpower and financial resources, and are an indispensable part of the cost of wind turbines. Large wind turbines are expensive, and improving the reliability of large wind turbines is of great significance to energy utilization, economic benefits, technological innovation and industrial upgrading, as well as social and environmental impacts. The wind resources at the installation location of large wind turbines are relatively good, the wind turbines are relatively high, and the distance between two adjacent wind turbines is relatively far, which makes there is a relatively large reusable space under each wind turbine. How to make full use of the relatively large space and good wind resources under large wind turbines is particularly important. Summary of the invention

[0003] The purpose of the present invention is to provide a wind turbine collaborative management system and method using data analysis technology to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a wind turbine collaborative management method using data analysis technology, the method comprising: Step S1: setting a plurality of wind turbines installed at intervals in a target area as first wind turbines, configuring a coordinated wind turbine group for each first wind turbine, and extracting configuration information in each coordinated wind turbine group; Step S2: Based on the different operating states of the first wind turbines, adaptively adjusting the collaborative management mode between the first wind turbines and the corresponding collaborative wind turbine generator sets; Step S3: respectively extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine generator set; Step S4: Real-time monitoring and receiving of power outage warning information sent from each first wind turbine, sending the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group to the operation and maintenance terminal, and assisting the operation and maintenance personnel to formulate an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning information at the same time.

[0005] Preferably, step S1 comprises: Step S1-1: identifying the geographical location information of each first wind turbine in the target area, extracting the distance between each first wind turbine and two adjacent first wind turbines, and using the data obtained by engineers after conducting wind resource assessment, soil survey, geological analysis and environmental impact assessment at the bottom of the tower of each first wind turbine, together with the distance between the first wind turbines, as inputs of the pre-built decision model; Step S1-2: Obtaining the optimal configuration and installation scheme of the coordinated wind turbine generator set output by each first wind turbine generator according to the decision model, wherein the optimal configuration and installation scheme is a configuration and installation scheme that comprehensively satisfies the maximum utilization of the space at the bottom of the tower of each first wind turbine generator and the maximum power generation efficiency; Step S1-3: Set each wind turbine constituting a coordinated wind turbine generator set as a second wind turbine generator, obtain the power level corresponding to each second wind turbine generator in each coordinated wind turbine generator set, and the specific installation position information of each second wind turbine generator at the bottom of the corresponding first wind turbine generator tower, wherein the power level corresponding to each second wind turbine generator is less than the power level of the corresponding first wind turbine generator.

[0006] Preferably, step S2 comprises: Step S2-1: configuring each second wind turbine in each coordinated wind turbine generator set with a wind turbine inverter and a battery pack, and configuring each first wind turbine with a nacelle backup power supply; Step S2-2: when it is detected that a certain first wind turbine is in a normal operating state or a low wind speed standby state, each second wind turbine in the corresponding coordinated wind turbine generator set is connected to the low-voltage side power grid of the transformer of a certain first wind turbine generator through the corresponding wind turbine inverter through the intelligent control cabinet, and the electric energy generated by the corresponding coordinated wind turbine generator set is supplied to the power grid for use, and feedback is given that any coordinated wind turbine generator set and the corresponding first wind turbine generator are in the first type of coordinated management mode; Step S2-3: when it is detected that a certain first wind turbine is in a fault shutdown state or a power outage state of the grid or an overhaul and maintenance state, the electric energy generated by the corresponding coordinated wind turbine generator set is supplied to the cabin equipment of the certain first wind turbine generator through the cabin backup power supply circuit, and feedback is given that any coordinated wind turbine generator set and the corresponding first wind turbine generator are in the second type of coordinated management mode; When the wind turbine is in a low wind speed standby state, a fault shutdown state, a power outage state, or a maintenance state, the control systems of the wind turbine nacelle equipment still need a stable and uninterrupted power supply to ensure that the systems can work reliably; Among them, the cabin equipment of each first wind turbine includes yaw system equipment, pitch system equipment, braking system equipment, converter and control system equipment, hydraulic oil system equipment, battery pack, lighting equipment, lubricating oil and cooling equipment, etc.; the above steps can meet the emergency power supply requirements of the cabin equipment of the first wind turbine, and can greatly reduce the risk of damage to the corresponding wind turbine equipment caused by a sudden failure of the power grid or a power outage of the power grid.

[0007] Preferably, step S3 comprises: Step S3-1: respectively obtaining the electric energy η1 generated by any first wind turbine in each unit period T on average before any first wind turbine is configured with a coordinated wind turbine generator set, the total electric energy η2 generated by any first wind turbine in each unit period T on average when any first wind turbine and the corresponding coordinated wind turbine generator set are in the first type of coordinated management mode after any first wind turbine is configured with a coordinated wind turbine generator set, and the total electric energy η3 generated by any first wind turbine in each unit period T on average when any first wind turbine and the corresponding coordinated wind turbine generator set are in the second type of coordinated management mode after any first wind turbine is configured with a coordinated wind turbine generator set; Step S3-2: Calculate the first synergy index between each first wind turbine and the corresponding synergy wind turbine group ; Step S3-3: Whenever it is monitored that a switch from the first collaborative management mode to the second collaborative management mode occurs between any first wind turbine and the corresponding collaborative wind turbine generator set, the timestamp tr corresponding to the occurrence of the collaborative management mode switch is captured; after each occurrence of the collaborative management mode switch, the time F required for the total electric energy generated by any first wind turbine and the corresponding collaborative wind turbine generator set to reach η3 is captured starting from the corresponding switching timestamp tr, and the time F captured after each occurrence of the collaborative management mode switch is collected to calculate the average value T' of the time F, and the average value T' is used as the second collaborative index between any first wind turbine and the corresponding collaborative wind turbine generator set; Step S3-4: Evaluate the synergy influence value between each first wind turbine and the corresponding synergy wind turbine group ; Because the first collaborative management mode is switched to the second collaborative management mode between any first wind turbine and the corresponding collaborative wind turbine generator set, it means that the any first wind turbine is switched from the original normal operating state or low wind speed standby state to the power-off state (caused by shutdown due to fault or power outage of the power grid or inspection and maintenance). Although the risk of equipment damage caused by the power outage of the cabin equipment of the first wind turbine can be avoided by relying on the collaborative wind turbine generator set, the difference in power supply power will still cause certain power supply fluctuations to the cabin equipment of the first wind turbine; the smaller the average value T', the smaller the power supply fluctuations.

[0008] Preferably, step S4 comprises: Step S4-1: sorting all first wind turbines from large to small according to corresponding synergy influence values, generating a first wind turbine sequence, and feeding back the first wind turbine sequence to the operation and maintenance terminal; Step S4-2: When a plurality of first wind turbines send power outage warning prompt information at the same time, the operation and maintenance personnel are prompted to determine the inspection order of the corresponding first wind turbines according to the ranking values ​​of the corresponding first wind turbines in the first wind turbine sequence.

[0009] A wind turbine collaborative management system is also proposed, the system includes a collaborative wind turbine configuration management module, a collaborative management mode adjustment module, a collaborative impact value evaluation and calculation module, and an operation and maintenance prompt management module; A coordinated wind turbine generator configuration management module is used to set a number of wind turbines installed at intervals in a target area as first wind turbines, configure a coordinated wind turbine generator set for each first wind turbine, and extract configuration information in each coordinated wind turbine generator set; A synergy influence degree value evaluation and calculation module is used to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator set; The operation and maintenance prompt management module is used to monitor and receive the power outage warning prompt information sent from each first wind turbine in real time, send the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine generator group to the operation and maintenance terminal, and assist the operation and maintenance personnel to formulate an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time.

[0010] Preferably, the collaborative impact degree value evaluation and calculation module includes a data combing unit and a collaborative impact degree value calculation unit; a data combing unit, for respectively extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, and combing characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching; The synergy influence degree value calculation unit is used to evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding synergy wind turbine generator set.

[0011] Preferably, the operation and maintenance prompt management module includes a fan monitoring management unit and a feedback prompt unit; A wind turbine monitoring and management unit, used for real-time monitoring and receiving power failure warning information sent from each first wind turbine; The feedback prompt unit is used to send the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator group to the operation and maintenance terminal, so as to assist the operation and maintenance personnel in formulating the operation and maintenance inspection plan of the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time.

[0012] Compared with the prior art, the beneficial effect achieved by the present invention is that the present invention can adaptively adjust the collaborative management mode between each large wind turbine and the corresponding collaborative wind turbine group according to the different operating states of each large wind turbine, and evaluate and calculate the collaborative influence degree value between each large wind turbine and the corresponding collaborative wind turbine group in combination with the characteristic state data presented when each large wind turbine and the corresponding collaborative wind turbine group are in different collaborative management modes, so as to provide data support for making operation and maintenance decisions when multiple first wind turbines send power outage warning prompt information at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural schematic diagram of a wind turbine collaborative management system using data analysis technology according to the present invention; Figure 2 It is a flow chart of a wind turbine collaborative management method using data analysis technology according to the present invention; Figure 3 It is a schematic diagram of a first embodiment of a coordinated wind turbine generator set configured in a wind turbine coordinated management method using data analysis technology according to the present invention; Figure 4 It is a schematic diagram of a second embodiment of a coordinated wind turbine generator set configured in a coordinated management method of wind turbine generators using data analysis technology according to the present invention; Figure 5It is a schematic diagram of a third embodiment of a coordinated wind turbine generator set configured in a coordinated management method of wind turbine generators using data analysis technology according to the present invention; Figure 6 This is a schematic diagram of a first embodiment of the internal principle structure of a wind turbine collaborative management system using data analysis technology according to the present invention; Figure 7 It is a schematic diagram of a second embodiment of the internal principle structure of a wind turbine collaborative management system using data analysis technology in the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] See also Figure 1-Figure 7 The present invention provides a technical solution: a wind turbine collaborative management method using data analysis technology, the method comprising: Step S1: setting a plurality of wind turbines installed at intervals in a target area as first wind turbines, configuring a coordinated wind turbine group for each first wind turbine, and extracting configuration information in each coordinated wind turbine group; Usually, each first wind turbine generator is equipped with n wind turbine generators of a relatively small power level, for example, a coordinated wind turbine generator set is configured in a vertical axis type with the first wind turbine generator, such as Figure 3 As shown, for example, a coordinated wind turbine generator set is configured in a horizontal axis type with the first wind turbine generator, such as Figure 4 As shown, for example, a coordinated wind turbine generator set is configured in a vertical axis type and a horizontal axis type with the first wind turbine generator, such as Figure 5 As shown; Wherein, step S1 comprises: Step S1-1: Identify the geographical location information of each first wind turbine in the target area, extract the interval distance between each first wind turbine and two adjacent first wind turbines, and use the data obtained by engineers after conducting wind resource assessment, soil survey, geological analysis and environmental impact assessment at the bottom of the tower of each first wind turbine, together with the interval distance, as input of a pre-built decision model; the application of the decision model includes a hierarchical analysis model, a fuzzy multi-objective decision model, etc.

[0016] Step S1-2: Obtaining the optimal configuration and installation scheme of the coordinated wind turbine generator set output by each first wind turbine generator according to the decision model, wherein the optimal configuration and installation scheme is a configuration and installation scheme that comprehensively satisfies the maximum utilization of the space at the bottom of the tower of each first wind turbine generator and the maximum power generation efficiency; Step S1-3: setting each wind turbine constituting the coordinated wind turbine generator set as a second wind turbine generator, obtaining a power level corresponding to each second wind turbine generator in each coordinated wind turbine generator set, and specific installation position information of each second wind turbine generator at the bottom of the corresponding first wind turbine generator tower, wherein the power level corresponding to each second wind turbine generator is less than the power level of the corresponding first wind turbine generator; Step S2: Based on the different operating states of the first wind turbines, adaptively adjusting the collaborative management mode between the first wind turbines and the corresponding collaborative wind turbine generator sets; Wherein, step S2 comprises: Step S2-1: each second wind turbine generator in each coordinated wind turbine generator set is configured with a wind turbine inverter and a battery pack, and each first wind turbine generator is configured with a nacelle backup power supply; wherein, when the nacelle main power generation adopts a double-fed asynchronous generator, the internal principle structure of the coordinated wind turbine generator set is as follows: Figure 6 As shown in the figure, when the main generator in the nacelle adopts a permanent magnet synchronous generator, the internal principle structure of the cooperative wind turbine generator set is as follows Figure 7 As shown; Step S2-2: when it is detected that a certain first wind turbine is in a normal operating state or a low wind speed standby state, each second wind turbine in the corresponding coordinated wind turbine generator set is connected to the low-voltage side power grid of the transformer of a certain first wind turbine generator through the corresponding wind turbine inverter through the intelligent control cabinet, and the electric energy generated by the corresponding coordinated wind turbine generator set is supplied to the power grid for use, and feedback is given that any coordinated wind turbine generator set and the corresponding first wind turbine generator are in the first type of coordinated management mode; Step S2-3: when it is detected that a certain first wind turbine is in a fault shutdown state or a power outage state of the grid or an overhaul and maintenance state, the electric energy generated by the corresponding coordinated wind turbine generator set is supplied to the cabin equipment of the certain first wind turbine generator through the cabin backup power supply circuit, and feedback is given that any coordinated wind turbine generator set and the corresponding first wind turbine generator are in the second type of coordinated management mode; Step S3: respectively extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine generator set; Wherein, step S3 comprises: Step S3-1: respectively obtaining the electric energy η1 generated by any first wind turbine in each unit period T on average before any first wind turbine is configured with a coordinated wind turbine generator set, the total electric energy η2 generated in each unit period T on average when any first wind turbine and the corresponding coordinated wind turbine generator set are in the first type of coordinated management mode after any first wind turbine is configured with a coordinated wind turbine generator set, and the total electric energy η3 generated in each unit period T on average when each first wind turbine and the corresponding coordinated wind turbine generator set are in the second type of coordinated management mode after any first wind turbine is configured with a coordinated wind turbine generator set; Step S3-2: Calculate the first synergy index between each first wind turbine and the corresponding synergy wind turbine group ; Step S3-3: Whenever it is monitored that a switch from the first collaborative management mode to the second collaborative management mode occurs between any first wind turbine and the corresponding collaborative wind turbine generator set, the timestamp tr corresponding to the occurrence of the collaborative management mode switch is captured; after each occurrence of the collaborative management mode switch, the time F required for the total electric energy generated by any first wind turbine and the corresponding collaborative wind turbine generator set to reach η3 is captured starting from the corresponding switching timestamp tr, and the time F captured after each occurrence of the collaborative management mode switch is collected to calculate the average value T' of the time F, and the average value T' is used as the second collaborative index between any first wind turbine and the corresponding collaborative wind turbine generator set; For example, before a certain first wind turbine A is configured with a coordinated wind turbine generator set, the certain first wind turbine A can generate 7 degrees of electricity on average within 1 hour; after a certain first wind turbine A is configured with a coordinated wind turbine generator set, when the certain first wind turbine A and the corresponding coordinated wind turbine generator set are in the first type of coordinated management mode, the certain first wind turbine A can generate 12 degrees of electricity on average within 1 hour; and after a certain first wind turbine is configured with a coordinated wind turbine generator set, when the certain first wind turbine A and the corresponding coordinated wind turbine generator set are in the second type of coordinated management mode, the certain first wind turbine A can generate 8 degrees of electricity on average within 1 hour; In the event that the first collaborative management mode is switched to the second collaborative management mode between a first wind turbine A and a corresponding collaborative wind turbine generator set, the timestamp corresponding to the collaborative management mode switching is captured as 6:00. Starting from 6:00, the accumulated time required for the first wind turbine A and the corresponding collaborative wind turbine generator set to generate 8 degrees of electrical energy is 1.2 hours. In the event that the first wind turbine A and the corresponding coordinated wind turbine generator set switch from the first coordinated management mode to the second coordinated management mode for the second time, the timestamp corresponding to the coordinated management mode switch is captured as 7:20. The capture starts from 7:20, and the accumulated time required for the first wind turbine A and the corresponding coordinated wind turbine generator set to generate 8 degrees of electricity is 1.1 hours; In summary, the average value T'=(1.1+1.2) / 2=1.15 is calculated, so the second synergy index between a first wind turbine A and the corresponding synergy wind turbine group is 1.15; Step S3-4: Evaluate the synergy influence value between each first wind turbine and the corresponding synergy wind turbine group ; Step S4: real-time monitoring and receiving of power outage warning information sent from each first wind turbine, sending the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group to the operation and maintenance terminal, and assisting the operation and maintenance personnel in formulating an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning information at the same time; Wherein, step S4 comprises: Step S4-1: sorting all first wind turbines from large to small according to corresponding synergy influence values, generating a first wind turbine sequence, and feeding back the first wind turbine sequence to the operation and maintenance terminal; Step S4-2: When a plurality of first wind turbines send power outage warning prompt information at the same time, the operation and maintenance personnel are prompted to determine the inspection order of the corresponding first wind turbines according to the ranking values ​​of the corresponding first wind turbines in the first wind turbine sequence.

[0017] A wind turbine collaborative management system is also proposed, the system includes a collaborative wind turbine configuration management module, a collaborative management mode adjustment module, a collaborative impact value evaluation and calculation module, and an operation and maintenance prompt management module; A coordinated wind turbine generator configuration management module is used to set a number of wind turbines installed at intervals in a target area as first wind turbines, configure a coordinated wind turbine generator set for each first wind turbine, and extract configuration information in each coordinated wind turbine generator set; A synergy influence degree value evaluation and calculation module is used to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator set; Among them, the collaborative impact degree value evaluation and calculation module includes a data combing unit and a collaborative impact degree value calculation unit; a data combing unit, for respectively extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, and combing characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching; A synergy influence degree value calculation unit, used to evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding synergy wind turbine generator set; An operation and maintenance prompt management module, for real-time monitoring and receiving power outage warning prompt information sent from each first wind turbine, sending the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine generator group to the operation and maintenance terminal, and assisting the operation and maintenance personnel in formulating an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time; Among them, the operation and maintenance prompt management module includes a fan monitoring management unit and a feedback prompt unit; A wind turbine monitoring and management unit, used for real-time monitoring and receiving power failure warning information sent from each first wind turbine; The feedback prompt unit is used to send the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator group to the operation and maintenance terminal, so as to assist the operation and maintenance personnel in formulating the operation and maintenance inspection plan of the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time.

[0018] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0019] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind turbine collaborative management method using data analysis technology, characterized in that: The method comprises: Step S1: setting a plurality of wind turbines installed at intervals in a target area as first wind turbines, configuring a coordinated wind turbine group for each first wind turbine, and extracting configuration information in each coordinated wind turbine group; Step S2: Adaptively adjusting the collaborative management mode between each first wind turbine and the corresponding collaborative wind turbine generator set based on different operating states of each first wind turbine; Step S3: respectively extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine generator set; Step S4: Real-time monitoring and receiving of power outage warning information sent from each first wind turbine, sending the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group to the operation and maintenance terminal, and assisting the operation and maintenance personnel to formulate an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning information at the same time.

2. A wind turbine collaborative management method using data analysis technology according to claim 1, characterized in that: The step S1 comprises: Step S1-1: identifying the geographical location information of each first wind turbine in the target area, extracting the distance between each first wind turbine and two adjacent first wind turbines, and using the data obtained by engineers after conducting wind resource assessment, soil survey, geological analysis and environmental impact assessment at the bottom of the tower of each first wind turbine, together with the distance between the first wind turbines, as inputs of the pre-built decision model; Step S1-2: Obtaining the optimal configuration and installation scheme of the coordinated wind turbine generator set output by each first wind turbine generator according to the decision model, wherein the optimal configuration and installation scheme is a configuration and installation scheme that is determined to comprehensively meet the maximum utilization of the space at the bottom of the tower of each first wind turbine generator and the maximum power generation efficiency; Step S1-3: Set each wind turbine constituting the cooperative wind turbine generator set as a second wind turbine generator, obtain the power level corresponding to each second wind turbine generator in each cooperative wind turbine generator set, and the specific installation position information of each second wind turbine generator at the bottom of the corresponding first wind turbine generator tower, wherein the power level corresponding to each second wind turbine generator is less than the power level of the corresponding first wind turbine generator.

3. A wind turbine collaborative management method using data analysis technology according to claim 2, characterized in that: The step S2 comprises: Step S2-1: configuring each second wind turbine in each coordinated wind turbine generator set with a wind turbine inverter and a battery pack, and configuring each first wind turbine with a nacelle backup power supply; Step S2-2: when it is detected that a certain first wind turbine is in a normal operating state or a low wind speed standby state, each second wind turbine in the corresponding coordinated wind turbine generator set is connected to the low-voltage side power grid of the transformer of the certain first wind turbine generator through the corresponding wind turbine inverter through the intelligent control cabinet, and the electric energy generated by the corresponding coordinated wind turbine generator set is supplied to the power grid for use, and feedback is given that the first type of coordinated management mode is in between the arbitrary coordinated wind turbine generator set and the corresponding first wind turbine generator; Step S2-3: When it is detected that a certain first wind turbine is in a fault shutdown state or a grid power outage state or an inspection and maintenance state, the electric energy generated by the corresponding cooperative wind turbine group is supplied to the cabin equipment of the certain first wind turbine through the cabin backup power circuit, and feedback is given that any cooperative wind turbine group and the corresponding first wind turbine are in the second type of cooperative management mode.

4. A wind turbine collaborative management method using data analysis technology according to claim 3, characterized in that: The step S3 comprises: Step S3-1: respectively obtaining the electric energy η1 generated by any first wind turbine in each unit period T on average before any first wind turbine is configured with a coordinated wind turbine generator set, the total electric energy η2 generated in each unit period T on average after any first wind turbine is configured with a coordinated wind turbine generator set and any first wind turbine and the corresponding coordinated wind turbine generator set are in a first type of coordinated management mode, and the total electric energy η3 generated in each unit period T on average after any first wind turbine is configured with a coordinated wind turbine generator set and any first wind turbine and the corresponding coordinated wind turbine generator set are in a second type of coordinated management mode; Step S3-2: Calculate the first synergy index β=[(η2-η1) / η1+(η3-η1) / η1] / 2 between each first wind turbine and the corresponding synergy wind turbine group; Step S3-3: Whenever it is monitored that a switch from the first collaborative management mode to the second collaborative management mode occurs between any first wind turbine and the corresponding collaborative wind turbine generator set, the timestamp tr corresponding to the occurrence of the collaborative management mode switch is captured; after each occurrence of the collaborative management mode switch, the time F required for the total electric energy generated by the any first wind turbine and the corresponding collaborative wind turbine generator set to reach η3 is captured starting from the corresponding switching timestamp tr, and the time F captured after each occurrence of the collaborative management mode switch is collected to calculate the average value T' of the time F, and the average value T' is used as the second collaborative index between any first wind turbine and the corresponding collaborative wind turbine generator set; Step S3-4: Evaluate the synergy influence degree value α=(1 / T')×β between each first wind turbine and the corresponding synergy wind turbine group.

5. A wind turbine collaborative management method using data analysis technology according to claim 4, characterized in that: Step S4 includes: Step S4-1: sorting all first wind turbines from large to small according to corresponding synergy influence values ​​to generate a first wind turbine sequence, and feeding back the first wind turbine sequence to the operation and maintenance terminal; Step S4-2: When a plurality of first wind turbines send power outage warning prompt information at the same time, the operation and maintenance personnel are prompted to determine the inspection order of the corresponding first wind turbines according to the ranking values ​​of the corresponding first wind turbines in the first wind turbine sequence.

6. A wind turbine collaborative management system using data analysis technology, used to execute a wind turbine collaborative management method using data analysis technology as claimed in any one of claims 1 to 5, characterized in that: The system includes a collaborative wind turbine configuration management module, a collaborative management mode adjustment module, a collaborative impact value evaluation and calculation module, and an operation and maintenance prompt management module; The coordinated wind turbine generator group configuration management module is used to set a number of wind turbines installed at intervals in the target area as first wind turbines, configure a coordinated wind turbine generator group for each first wind turbine, and extract configuration information in each coordinated wind turbine generator group; The synergy influence degree value evaluation and calculation module is used to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching, and evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator set; The operation and maintenance prompt management module is used to monitor and receive power outage warning prompt information sent from each first wind turbine in real time, send the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group to the operation and maintenance terminal, and assist the operation and maintenance personnel to formulate an operation and maintenance inspection plan for the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time.

7. A wind turbine collaborative management system using data analysis technology according to claim 6, characterized in that: The collaborative impact degree value evaluation and calculation module includes a data combing unit and a collaborative impact degree value calculation unit; The data combing unit is used to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine generator set are in different coordinated management modes, and comb the characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine generator set present different coordinated management mode switching; The synergy influence degree value calculation unit is used to evaluate and calculate the synergy influence degree value between each first wind turbine and the corresponding synergy wind turbine group.

8. A wind turbine collaborative management system using data analysis technology according to claim 6, characterized in that: The operation and maintenance prompt management module includes a fan monitoring management unit and a feedback prompt unit; The wind turbine monitoring and management unit is used to monitor and receive power failure warning prompt information sent from each first wind turbine in real time; The feedback prompt unit is used to send the synergy influence degree value between each first wind turbine and the corresponding coordinated wind turbine group to the operation and maintenance terminal, so as to assist the operation and maintenance personnel in formulating the operation and maintenance inspection plan of the wind turbine when multiple first wind turbines send power outage warning prompt information at the same time.

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