A wind turbine collaborative management system and method using data analysis technology

Abstract

The present invention relates to the technical field of coordinated management of wind turbines, and specifically to a coordinated management system and method for wind turbines using data analysis technology. The present invention improves the power generation efficiency of a single large wind turbine by making full use of the relatively large space under the large wind turbine, the better wind resources, and the power grid already available to the large wind turbine. The present invention reduces the probability of the cabin equipment being out of control by ensuring that the cabin equipment of the large wind turbine has a stable dual-circuit power supply. At the same time, the present invention can adaptively adjust the coordinated management mode between each large wind turbine and the corresponding coordinated wind turbine group according to the different operating states of each large wind turbine, and provide data support for making operation and maintenance decisions when multiple first wind turbines send power outage warning prompt information at the same time.

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 helps 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, covering geographical environment, wind resources, infrastructure, meteorology, safety, and other aspects. The installation of large wind turbines, in particular, often requires wind resource assessments, soil surveys, geological analysis, and environmental impact assessments. 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.

[0003] Large wind turbines are located in locations with superior wind resources. The turbines are taller and farther apart, leaving a relatively large area of reusable space beneath each turbine. Utilizing this relatively large space and superior wind resources beneath large turbines is crucial. Summary of the Invention

[0004] 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.

[0005] 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:

[0006] Step S1: setting a plurality of wind turbines installed at intervals within 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;

[0007] Step S2: Adaptively adjusting the collaborative management mode between each first wind turbine and the corresponding collaborative wind turbine generator group based on the different operating states of each first wind turbine;

[0008] Step S3: extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine group;

[0009] Step S4: Real-time monitoring and receiving of 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 group to the operation and maintenance terminal, and assisting 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.

[0010] Preferably, step S1 includes:

[0011] Step S1-1: Identify the geographic location of each first wind turbine within the target area, extract the distance between each first wind turbine and its two adjacent first wind turbines, and use the data obtained from wind resource assessment, soil survey, geological analysis, and environmental impact assessment conducted by engineers at the base of each first wind turbine tower, along with the distance between the wind turbines, as input to a pre-established decision model;

[0012] Step S1-2: Obtaining the optimal configuration and installation plan of the coordinated wind turbine generator set output by each first wind turbine according to the decision model, wherein the optimal configuration and installation plan is a configuration and installation plan determined to comprehensively meet the requirements of maximizing the space at the bottom of the tower of each first wind turbine and maximizing the power generation efficiency;

[0013] 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.

[0014] Preferably, step S2 includes:

[0015] 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;

[0016] 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 via 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 effect between any coordinated wind turbine generator set and the corresponding first wind turbine;

[0017] Step S2-3: When it is detected that a first wind turbine is in a fault shutdown state, a grid power outage state, or an overhaul and maintenance state, the electric energy generated by the corresponding coordinated wind turbine is supplied to the cabin equipment of the first wind turbine through the cabin backup power circuit, and feedback is given that the second type of coordinated management mode is in effect between any coordinated wind turbine and the corresponding first wind turbine;

[0018] 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;

[0019] 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.

[0020] Preferably, step S3 includes:

[0021] Step S3-1: Obtaining respectively the average electric energy η1 generated by any first wind turbine in each unit period T before any first wind turbine is configured with a coordinated wind turbine generator set, the average total electric energy η2 generated in each unit period T after any first wind turbine is configured with a coordinated wind turbine generator set and when any first wind turbine and the corresponding coordinated wind turbine generator set are in a first type of coordinated management mode, and the average total electric energy η3 generated in each unit period T after any first wind turbine is configured with a coordinated wind turbine generator set and when any first wind turbine and the corresponding coordinated wind turbine generator set are in a second type of coordinated management mode;

[0022] Step S3-2: Calculate the first synergy index between each first wind turbine and the corresponding coordinated wind turbine generator group ;

[0023] Step S3-3: Whenever a switch from the first collaborative management mode to the second collaborative management mode is detected between any first wind turbine and the corresponding collaborative wind turbine group, a 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 group 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 accumulated to calculate an average value T' of the time F, and the average value T' is used as the second collaboration index between any first wind turbine and the corresponding collaborative wind turbine group;

[0024] Step S3-4: Evaluate the synergy impact value between each first wind turbine and the corresponding coordinated wind turbine generator set ;

[0025] Because the switching 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, 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 fault shutdown or power grid outage or maintenance). Although the collaborative wind turbine generator set can avoid the risk of power outage of the cabin equipment of the first wind turbine and damage to the equipment, due to the difference in power supply power, it will still cause a certain power supply fluctuation impact on the cabin equipment of the first wind turbine; the smaller the average value T', the smaller the power supply fluctuation impact.

[0026] Preferably, step S4 includes:

[0027] Step S4-1: sorting all first wind turbines from largest to smallest according to their corresponding synergy influence values to generate a first wind turbine sequence, and feeding the first wind turbine sequence back to the operation and maintenance terminal;

[0028] Step S4-2: When multiple first wind turbines send power outage warning prompt information simultaneously, 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.

[0029] A wind turbine collaborative management system is also proposed, which 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;

[0030] A coordinated wind turbine generator group configuration management module is used to set a number of wind turbines installed at intervals within a target area as first wind turbines, configure a coordinated wind turbine generator group for each first wind turbine, and extract configuration information from each coordinated wind turbine generator group;

[0031] a synergy impact degree value evaluation and calculation module, configured to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluate and calculate the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group;

[0032] 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 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.

[0033] Preferably, the collaborative influence degree value evaluation and calculation module includes a data combing unit and a collaborative influence degree value calculation unit;

[0034] a data combing unit, configured to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, and comb the characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes;

[0035] 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 coordinated wind turbine generator group.

[0036] Preferably, the operation and maintenance prompt management module includes a wind turbine monitoring management unit and a feedback prompt unit;

[0037] A wind turbine monitoring and management unit, configured to monitor and receive power outage warning information sent from each first wind turbine in real time;

[0038] 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.

[0039] Compared with the prior art, the beneficial effects achieved by the present invention are: 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 combine the characteristic state data presented by each large wind turbine and the corresponding collaborative wind turbine group when they are in different collaborative management modes to evaluate and calculate the collaborative influence degree value between each large wind turbine and the corresponding collaborative wind turbine group, providing 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

[0040] 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:

[0041] Figure 1 This is a schematic structural diagram of a wind turbine collaborative management system using data analysis technology according to the present invention;

[0042] Figure 2 This is a flow chart of a wind turbine collaborative management method using data analysis technology according to the present invention;

[0043] Figure 3 This 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;

[0044] Figure 4 This is a schematic diagram of a second 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;

[0045] Figure 5 This is a schematic diagram of a third embodiment of a coordinated wind turbine generator set configured in a coordinated wind turbine management method using data analysis technology according to the present invention;

[0046] 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;

[0047] Figure 7 This 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

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0049] 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:

[0050] Step S1: setting a plurality of wind turbines installed at intervals within 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;

[0051] Typically, each first wind turbine generator is configured with n wind turbine generators of a smaller power level, for example, a coordinated wind turbine generator set configured in a vertical axis with the first wind turbine generator, such as Figure 3 As shown, for example, a coordinated wind turbine generator set is configured with a horizontal axis with the first wind turbine, as shown in FIG. Figure 4 As shown, for example, a coordinated wind turbine generator set is configured to be combined with the first wind turbine in a vertical axis type and a horizontal axis type, such as Figure 5 As shown;

[0052] Wherein, step S1 includes:

[0053] Step S1-1: Identify the geographical location information of each first wind turbine in the target area, extract the distance between each first wind turbine and the 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 distance between the locations, as input to a pre-established decision model; applications of the decision model include hierarchical analysis model, fuzzy multi-objective decision model, etc.

[0054] Step S1-2: Obtaining the optimal configuration and installation plan of the coordinated wind turbine generator set output by each first wind turbine according to the decision model, wherein the optimal configuration and installation plan is a configuration and installation plan determined to comprehensively meet the requirements of maximizing the space at the bottom of the tower of each first wind turbine and maximizing the power generation efficiency;

[0055] Step S1-3: setting each wind turbine constituting the coordinated wind turbine generator set as a second wind turbine, obtaining a power level corresponding to each second wind turbine in each coordinated wind turbine generator set, and information on the specific installation position of each second wind turbine at the bottom of the tower of the corresponding first wind turbine, wherein the power level corresponding to each second wind turbine is less than the power level of the corresponding first wind turbine;

[0056] Step S2: Adaptively adjusting the collaborative management mode between each first wind turbine and the corresponding collaborative wind turbine generator group based on the different operating states of each first wind turbine;

[0057] Wherein, step S2 includes:

[0058] Step S2-1: configure each second wind turbine in each coordinated wind turbine generator set with a wind turbine inverter and a battery pack, and configure each first wind turbine 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, 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;

[0059] 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 via 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 effect between any coordinated wind turbine generator set and the corresponding first wind turbine;

[0060] Step S2-3: When it is detected that a first wind turbine is in a fault shutdown state, a grid power outage state, or an overhaul and maintenance state, the electric energy generated by the corresponding coordinated wind turbine is supplied to the cabin equipment of the first wind turbine through the cabin backup power circuit, and feedback is given that the second type of coordinated management mode is in effect between any coordinated wind turbine and the corresponding first wind turbine;

[0061] Step S3: extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine group;

[0062] Wherein, step S3 includes:

[0063] Step S3-1: Obtaining respectively the average electric energy η1 generated by any first wind turbine in each unit period T before any first wind turbine is configured with a coordinated wind turbine generator set, the average total electric energy η2 generated in each unit period T after any first wind turbine is configured with a coordinated wind turbine generator set and when any first wind turbine and the corresponding coordinated wind turbine generator set are in a first type of coordinated management mode, and the average total electric energy η3 generated in each unit period T after any first wind turbine is configured with a coordinated wind turbine generator set and when each first wind turbine and the corresponding coordinated wind turbine generator set are in a second type of coordinated management mode;

[0064] Step S3-2: Calculate the first synergy index between each first wind turbine and the corresponding coordinated wind turbine generator group ;

[0065] Step S3-3: Whenever a switch from the first collaborative management mode to the second collaborative management mode is detected between any first wind turbine and the corresponding collaborative wind turbine group, a 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 group 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 accumulated to calculate an average value T' of the time F, and the average value T' is used as the second collaboration index between any first wind turbine and the corresponding collaborative wind turbine group;

[0066] For example, before a first wind turbine A is configured with a coordinated wind turbine generator set, the first wind turbine A can generate an average of 7 kWh of electricity per hour; after a first wind turbine A is configured with a coordinated wind turbine generator set, when the first wind turbine A and the corresponding coordinated wind turbine generator set are in a first type of coordinated management mode, the first wind turbine A can generate an average of 12 kWh of electricity per hour; and after a first wind turbine A is configured with a coordinated wind turbine generator set, when the first wind turbine A and the corresponding coordinated wind turbine generator set are in a second type of coordinated management mode, the first wind turbine A can generate an average of 8 kWh of electricity per hour.

[0067] In the event of the first switching from the first collaborative management mode to the second collaborative management mode between a first wind turbine A and its corresponding coordinated wind turbine generator group, the timestamp corresponding to the collaborative management mode switching is captured as 6:00. Starting from 6:00, the cumulative time required for the first wind turbine A and its corresponding coordinated wind turbine generator group to generate 8 degrees of electricity is 1.2 hours;

[0068] In the event of the second switching from the first collaborative management mode to the second collaborative management mode between a first wind turbine A and the corresponding coordinated wind turbine generator group, the timestamp corresponding to the collaborative management mode switching is captured as 7:20. Starting from 7:20, the cumulative time required for the first wind turbine A and the corresponding coordinated wind turbine generator group to generate 8 degrees of electricity is 1.1 hours;

[0069] 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 coordinated wind turbine generator set is 1.15;

[0070] Step S3-4: Evaluate the synergy impact value between each first wind turbine and the corresponding coordinated wind turbine generator set ;

[0071] Step S4: Real-time monitoring and receiving of power outage warning prompt information sent from each first wind turbine, sending a 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 turbines when multiple first wind turbines send power outage warning prompt information at the same time;

[0072] Wherein, step S4 includes:

[0073] Step S4-1: sorting all first wind turbines from largest to smallest according to their corresponding synergy influence values to generate a first wind turbine sequence, and feeding the first wind turbine sequence back to the operation and maintenance terminal;

[0074] Step S4-2: When multiple first wind turbines send power outage warning prompt information simultaneously, 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.

[0075] A wind turbine collaborative management system is also proposed, which 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;

[0076] A coordinated wind turbine generator group configuration management module is used to set a number of wind turbines installed at intervals within a target area as first wind turbines, configure a coordinated wind turbine generator group for each first wind turbine, and extract configuration information from each coordinated wind turbine generator group;

[0077] a synergy impact degree value evaluation and calculation module, configured to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluate and calculate the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group;

[0078] The collaborative impact value evaluation and calculation module includes a data combing unit and a collaborative impact value calculation unit;

[0079] a data combing unit, configured to respectively extract characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, and comb the characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes;

[0080] a synergistic influence degree value calculation unit, configured to evaluate and calculate a synergistic influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator set;

[0081] an operation and maintenance prompt management module for monitoring and receiving power outage warning prompt information sent from each first wind turbine in real time, sending a 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 operation and maintenance personnel in formulating an operation and maintenance inspection plan for the wind turbines when multiple first wind turbines send power outage warning prompt information at the same time;

[0082] Among them, the operation and maintenance prompt management module includes a wind turbine monitoring management unit and a feedback prompt unit;

[0083] A wind turbine monitoring and management unit, configured to monitor and receive power outage warning information sent from each first wind turbine in real time;

[0084] 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.

[0085] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0086] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are 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 will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection 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 within 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; The step S1 comprises: Step S1-1: Identify the geographic location of each first wind turbine within the target area, extract the distance between each first wind turbine and its two adjacent first wind turbines, and use the data obtained by engineers from wind resource assessment, soil survey, geological analysis, and environmental impact assessment conducted at the base of each first wind turbine tower, along with the distance, as input to a pre-established decision model; Step S1-2: Obtaining an optimal configuration and installation scheme for 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 determined to comprehensively meet the requirements of maximizing the space at the bottom of the tower of each first wind turbine generator and maximizing the power generation efficiency; Step S1-3: setting each wind turbine constituting the coordinated wind turbine generator set as a second wind turbine, obtaining a power level corresponding to each second wind turbine in each coordinated wind turbine generator set, and specific installation position information of each second wind turbine at the bottom of the corresponding first wind turbine tower, wherein the power level corresponding to each second wind turbine is less than the power level of the corresponding first wind turbine; Step S2: Adaptively adjusting the collaborative management mode between each first wind turbine and the corresponding collaborative wind turbine generator set based on the different operating states of each first wind turbine; Step S3: extracting characteristic state data presented when each first wind turbine and the corresponding coordinated wind turbine group are in different coordinated management modes, sorting out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluating and calculating the degree of coordinated influence between each first wind turbine and the corresponding coordinated wind turbine group; Step S4: Real-time monitoring and receiving of 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 group to the operation and maintenance terminal, and assisting 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.

2. The wind turbine collaborative management method using data analysis technology according to claim 1, 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 via the corresponding wind turbine inverter through the grid-connected control cabinet and 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 are in the first type of coordinated management mode; Step S2-3: When it is detected that a 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 first wind turbine through the cabin backup power circuit, and feedback is fed back that the second type of cooperative management mode is in effect between any cooperative wind turbine group and the corresponding first wind turbine.

3. The wind turbine collaborative management method using data analysis technology according to claim 2, characterized in that: The step S3 comprises: Step S3-1: Obtaining respectively the average electric energy η1 generated by any first wind turbine in each unit period T before the coordinated wind turbine generator set is configured for any first wind turbine, the average total electric energy η2 generated in each unit period T after the coordinated wind turbine generator set is configured for any first wind turbine and when the any first wind turbine and the corresponding coordinated wind turbine generator set are in a first type of coordinated management mode, and the average total electric energy η3 generated in each unit period T after the coordinated wind turbine generator set is configured for any first wind turbine and when the 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 a first synergy index β = [(η2-η1) / η1+(η3-η1) / η1] / 2 between each first wind turbine and the corresponding coordinated wind turbine generator set; Step S3-3: Whenever a switch from the first collaborative management mode to the second collaborative management mode is detected between any first wind turbine and the corresponding collaborative wind turbine group, a 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 group 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 accumulated to calculate an average value T' of the time F, and the average value T' is used as the second collaboration index between the any first wind turbine and the corresponding collaborative wind turbine group; Step S3 - 4 : Evaluate the synergistic influence degree value α=(1 / T′)×β between each first wind turbine and the corresponding coordinated wind turbine generator group.

4. The wind turbine collaborative management method using data analysis technology according to claim 3, characterized in that: Step S4 includes: Step S4-1: sorting all first wind turbines from largest to smallest according to their corresponding synergy influence values to generate a first wind turbine sequence, and feeding the first wind turbine sequence back to the operation and maintenance terminal; Step S4-2: When multiple first wind turbines send power outage warning prompt information simultaneously, 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.

5. A wind turbine collaborative management system using data analysis technology, used to execute a wind turbine collaborative management method using data analysis technology according to any one of claims 1 to 4, 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 plurality of wind turbines installed at intervals within a target area as first wind turbines, configure a coordinated wind turbine generator group for each first wind turbine, and extract configuration information from each coordinated wind turbine generator group; The synergy impact 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 group are in different coordinated management modes, sort out characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes, and evaluate and calculate the synergy impact degree value between each first wind turbine and the corresponding coordinated wind turbine group; 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 generator group to the operation and maintenance terminal, and assist 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.

6. A wind turbine collaborative management system using data analysis technology according to claim 5, characterized in that: The collaborative influence degree value evaluation and calculation module includes a data combing unit and a collaborative influence 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 group are in different coordinated management modes, and comb the characteristic data generated when each first wind turbine and the corresponding coordinated wind turbine group switch between different coordinated management modes; The synergistic influence degree value calculation unit is used to evaluate and calculate the synergistic influence degree value between each first wind turbine and the corresponding coordinated wind turbine generator group.

7. The wind turbine collaborative management system using data analysis technology according to claim 5, characterized in that: The operation and maintenance prompt management module includes a wind turbine monitoring management unit and a feedback prompt unit; The wind turbine monitoring and management unit is configured to monitor and receive power outage warning 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, assisting the operation and maintenance personnel in formulating the wind turbine operation and maintenance inspection plan when multiple first wind turbines send power outage warning prompt information at the same time.

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