Control method and system based on fault information of wind turbine generator

Abstract

The invention discloses a control method and system based on wind turbine generator fault information, and belongs to the technical field of wind turbine generator fault control, and the method comprises the steps: dividing each wind turbine generator into each output unit, each buffer unit and each fault shutdown unit, dividing each buffer unit into each health maintenance unit, each adaptive adjustment unit and each fault shutdown unit, and performing generator cooperative control adjustment and converter optimization control adjustment on the respective adaptive adjustment units, and performing shutdown operation on the fault shutdown units to complete power supply gap compensation. The method can improve the power supply reliability, can timely find potential problems and perform targeted optimization, reduces the fault occurrence probability, adaptively adjusts the optimization control of the unit and the cooperative control adjustment of the generator, can guarantee the stable operation of the unit, improves the electric energy conversion and output quality, accurately obtains the power supply gap, and calls the output unit for compensation. Stable power supply of the wind power plant is ensured, and power interruption caused by faults is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine fault control, and particularly to a control method and system based on wind turbine fault information. Background Art

[0002] With the increasing global demand for clean energy, wind power generation, as a clean and renewable energy form, occupies an increasingly important position in the field of power supply. As the core equipment of wind power generation, the stable operation of wind turbines is directly related to the power generation efficiency and economic benefits of the entire wind farm. However, wind turbines are in a complex and changeable natural environment for a long time, resulting in frequent failures. Moreover, when a wind turbine fails, it will not only cause power supply interruption but also may trigger safety accidents, bringing huge economic losses and social impacts.

[0003] For example, the temporary optimization method and system for faulty wind turbines in a wind farm announced in the invention patent with the publication number of CN115811093B. The method includes: when the main control system of a wind turbine fails and other components are normal, based on the maximum operable speed and the maximum operable torque of the faulty wind turbine, optimize the current generator speed command value and torque command value of each of the other wind turbines electrically connected to the wind turbine, to obtain the optimized current generator speed command value and torque command value of each of the other wind turbines electrically connected to the wind turbine; determine the temporary speed control command and temporary torque control command of the faulty wind turbine, and perform temporary optimization control on the faulty wind turbine based on the temporary speed control command and temporary torque control command.

[0004] For example, a fault ride-through control method and system for a dual-rotor wind turbine announced in the invention patent with the publication number of CN112952900B, includes: by detecting the grid-connected point voltage of a three-port wind turbine converter, determine whether a voltage fault occurs in the parallel grid. If a voltage fault occurs in the parallel grid, calculate the magnitude of the DC bus voltage value of the three-port wind turbine converter and the speed of the relatively lower-speed rotor in the current dual-rotor wind turbine generator set. According to the real-time speed and power value of the low-speed rotor, quickly switch the operating state of the machine-side converter corresponding to the low-speed rotor to change the electric and generating states of the motor, so that the low-speed rotor absorbs instantaneous electric energy from the DC bus or releases electric energy to the power grid system through the three-port wind turbine converter.

[0005] However, in the process of implementing the inventive technical solution in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0006] Currently, control methods based on the fault information of wind turbines mainly focus on the fault diagnosis and treatment of single units, ignoring the group cooperation. At the same time, as an important component for realizing power conversion and control in wind turbines, the frequency converter plays a crucial role during the operation of the unit. When unexpected situations occur in the frequency converter, existing methods often only adjust the frequency converter itself. However, due to the non-linear and strongly coupled characteristics of the frequency converter, local adjustment of the frequency converter may affect the power balance and stability of the entire wind turbine, reducing the overall power generation efficiency of the wind farm and failing to meet the requirements of efficient and reliable operation of the wind farm. Summary of the Invention

[0007] The first aspect of the present invention provides a control method based on the fault information of wind turbines, including the following steps:

[0008] Monitor the operating status of the converters of each wind turbine in the wind farm, and thereby divide each wind turbine into each available output unit, each buffer unit, and each fault shutdown unit.

[0009] Perform re-monitoring of the converter status of each buffer unit, and divide each buffer unit into each health maintenance unit, each self-adaptive adjustment unit, and each fault shutdown unit.

[0010] Perform initial optimization control adjustment on the converters of each self-adaptive adjustment unit, determine the demand for generator cooperative control adjustment, and perform generator cooperative control adjustment and converter optimization control adjustment.

[0011] Perform shutdown operations on each fault shutdown unit, obtain the power supply gap of the wind farm, and call each available output unit for incremental output adjustment to complete the compensation of the power supply gap.

[0012] The second aspect of the present invention provides a control system based on the fault information of wind turbines, including:

[0013] A wind turbine operation monitoring module for monitoring the operating status of the converters of each wind turbine in the wind farm, and thereby dividing each wind turbine into each available output unit, each buffer unit, and each fault shutdown unit.

[0014] A buffer unit re-monitoring module for performing re-monitoring of the converter status of each buffer unit, and dividing each buffer unit into each health maintenance unit, each self-adaptive adjustment unit, and each fault shutdown unit.

[0015] An adaptive adjustment unit control adjustment module for performing initial optimization control adjustment on the converters of each self-adaptive adjustment unit, determining the demand for generator cooperative control adjustment, and performing generator cooperative control adjustment and converter optimization control adjustment.

[0016] The power supply gap compensation module is used to perform shutdown operations on each failed shutdown unit, obtain the power supply gap of the wind farm, call each unit that can generate power for incremental power output adjustment, and complete the compensation of the power supply gap.

[0017] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0018] 1. The control method based on wind turbine fault information provided by the present invention can comprehensively improve the operation management level and power supply reliability of the wind farm. By accurately monitoring and classifying the operating states of the wind turbine converters, it can quickly identify the units that can generate power, buffer units, and failed shutdown units, realize the real-time control of the operating states of the wind farm units. Through the re-monitoring and classification processing of the buffer units, potential problems can be found in a timely manner and optimized accordingly, reducing the probability of faults. The adaptive adjustment of the optimized control of the units and the coordinated control adjustment of the generators can ensure the stable operation of the units, improve the power conversion and output quality. In terms of fault handling, accurately obtain the power supply gap and call the units that can generate power for compensation to ensure the stable power supply of the wind farm and reduce power interruptions caused by faults.

[0019] 2. By re-monitoring the converter states of each buffer unit, the present invention can more accurately grasp the actual operating conditions of the buffer units, timely discover potential problems in the operation of the units, and accurately classify the buffer units in different operating states as health maintenance units, adaptive adjustment units, and failed shutdown units. For the health maintenance units, their continuous and stable operation can be ensured. For the adaptive adjustment units, optimization measures can be taken in a timely manner to improve the converter performance and avoid faults. For the failed shutdown units, shutdown operations can be quickly executed to prevent the expansion of faults and ensure the safe and stable operation of the entire wind farm.

[0020] 3. By determining the requirements for generator coordinated control adjustment and performing generator coordinated control adjustment, the present invention can improve the stability and reliability of the operation of wind turbines. After the optimized control adjustment of the converter, it can accurately judge whether generator coordinated control is required, avoiding negative impacts on the operation of the entire unit due to improper adjustment. When it is determined that coordinated control adjustment is required, by adjusting the electromagnetic control parameters such as the excitation voltage and power factor of the generator and cooperating with the converter adjustment, the overall operating state of the unit can be optimized, reducing the output voltage fluctuation of the inverter and the bus voltage fluctuation, improving the average load matching degree, ensuring the stable operation of the power transmission and distribution system, reducing the probability of faults, and thus improving the overall power generation efficiency of the wind farm and ensuring the stability of power supply. Description of the Drawings

[0021] Figure 1 It is a flowchart of the control method based on wind turbine fault information provided by an embodiment of the present application;

[0022] Figure 2 Schematic diagram of the control system based on the fault information of the wind turbine generator set provided by the embodiment of the present application;

[0023] Figure 3 Optimization adjustment flowchart of the adaptive adjustment unit involved in the embodiment of the present application. Specific embodiments

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0025] Referring to Figure 1 As shown, the first aspect of the present invention provides a control method based on the fault information of the wind turbine generator set, including the following steps:

[0026] Monitor the operating status of the converters of each wind turbine generator set in the wind farm, and thereby divide each wind turbine generator set into each available output unit, each buffer unit, and each fault shutdown unit.

[0027] In this embodiment, monitor the operating status of the converters of each wind turbine generator set in the wind farm, and thereby divide each wind turbine generator set into each available output unit, each buffer unit, and each fault shutdown unit. The specific analysis method is as follows:

[0028] Monitor the operating status of the converters of each wind turbine generator set in the wind farm to obtain the operating status scores of the converters of each wind turbine generator set.

[0029] Extract the first verification score of the converter operating status and the second verification score of the converter operating status preset in the database.

[0030] It should be added that the threshold of the power generation capacity index of the wind turbine generator set preset in the database is extracted.

[0031] It should be understood that the first verification score of the converter operating status and the second verification score of the converter operating status are obtained by extracting from the database. The first verification score of the converter operating status is used to reflect the critical value of the ideal operating status of the converter of the wind turbine generator set, and the second verification score of the converter operating status is used to reflect the critical value of the abnormal operating status of the converter of the wind turbine generator set.

[0032] In a specific embodiment, the first verification score of the converter operating status and the second verification score of the converter operating status are preset in the database and can be obtained by various methods. For example, experts with rich experience in the field of wind turbine research judge the boundary of the operating status of the converter of the wind turbine generator set based on long-term accumulated experience and thus set the threshold.

[0033] Wind turbine converters with an operating status score less than or equal to the first verification score of the converter operating status are recorded as available output units.

[0034] If the operating status score of the wind turbine converter is less than or equal to the first verification score of the converter operating status, it indicates that the converter of this wind turbine is in a relatively good operating state, the components of the converter work stably, and the quality of power conversion and output is relatively high. Such wind turbines can not only operate stably by themselves and continuously contribute power to the wind farm, but also, when some wind turbines fail and shut down, resulting in a power supply gap, rely on their good operating performance and reliable output ability to undertake the task of compensating for the power gap and ensure the stability of the overall power supply of the wind farm.

[0035] Wind turbine converters with an operating status score greater than the first verification score of the converter operating status and less than the second verification score of the converter operating status are recorded as buffer units.

[0036] If the operating status score of the wind turbine converter is greater than the first verification score of the converter operating status and less than the second verification score of the converter operating status, it indicates that the operating state of the converter is in an unstable intermediate zone, and its operating parameters have deviated from the ideal state, but have not reached the level of serious faults. Since this state may be caused by short-term fluctuations affected by other factors such as external environmental changes and short-term power fluctuations, fixed measures cannot be immediately taken for the unit, and further monitoring is required.

[0037] Wind turbine converters with an operating status score greater than or equal to the second verification score of the converter operating status are recorded as fault shutdown units.

[0038] If the operating status score of the wind turbine converter is greater than or equal to the second verification score of the converter operating status, it indicates that the operating condition of the converter of this wind turbine is relatively poor, and there may be serious damage or abnormal operation of the internal components of the converter. Continuing to operate not only cannot ensure stable power output, but may also cause further damage to the entire wind turbine and the equipment of the wind farm, and even lead to safety accidents. Therefore, to avoid more serious consequences, it is necessary to immediately perform a shutdown operation on such wind turbines and send a fault maintenance signal, and they cannot be restarted until the faults are eliminated.

[0039] Traverse each wind turbine in turn, and extract and count each available output unit, each buffer unit, and each fault shutdown unit.

[0040] In this embodiment, the specific analysis process of the operating status score of each wind turbine converter is as follows:

[0041] During a preset monitoring period, monitor the operating status of the converters of each wind turbine in the wind farm and collect the operating data of the converters of each wind turbine.

[0042] It should be added that the operating data of the converters of each wind turbine can be directly obtained from the SCADA system.

[0043] The operating data of the converters of each wind turbine include the DC bus voltage fluctuation amount, the average temperature of the power module, the average value of the output current unbalance degree, and the average total harmonic distortion rate of each wind turbine converter.

[0044] It should be understood that the DC bus voltage fluctuation amount refers to the difference between the maximum value and the minimum value of the DC bus voltage output by the rectification unit during a preset monitoring period.

[0045] The output current unbalance degree refers to the ratio of the maximum difference between the three-phase output currents to the average value, and the average value of the output current unbalance degree refers to the average value of the output current unbalance degree during a preset monitoring period.

[0046] The total harmonic distortion rate refers to the energy proportion of the non-fundamental components in the converter output signal, and the average total harmonic distortion rate refers to the average value of the total harmonic distortion rate during a preset monitoring period.

[0047] It should be noted that the DC bus voltage fluctuation amount, the average temperature of the power module, the average value of the output current unbalance degree, and the average total harmonic distortion rate are interrelated during the operation of the wind turbine converter. A large DC bus voltage fluctuation amount will cause the power module to work unstably, thereby increasing the average temperature of the power module; the increase in temperature will affect the performance of the power module, resulting in an increase in the average value of the output current unbalance degree and an increase in current harmonics, and the average total harmonic distortion rate will rise. The output current imbalance will increase the DC bus voltage fluctuation and at the same time increase the burden on the power module, further increasing the temperature, forming a vicious cycle, and ultimately seriously affecting the operating status of the converter and the quality of power conversion.

[0048] Extract the reference converter operating data stored in the database, including the reference DC bus voltage fluctuation amount, the ideal average temperature of the power module, the reference average value of the output current unbalance degree, and the reference average total harmonic distortion rate.

[0049] Extract the DC bus voltage fluctuation amount distribution factor, the power module average temperature distribution factor, the output current unbalance degree average value distribution factor, and the average total harmonic distortion rate distribution factor preset in the database.

[0050] It should be added that the value ranges of the DC bus voltage fluctuation amount distribution factor, the power module average temperature distribution factor, the output current imbalance degree average value distribution factor, and the average total harmonic distortion rate distribution factor are all from 0 to 1, and the sum of the DC bus voltage fluctuation amount distribution factor, the power module average temperature distribution factor, the output current imbalance degree average value distribution factor, and the average total harmonic distortion rate distribution factor is 1. When in use, the preset values can be directly extracted from the database. The specific extraction method is as follows: For example, a one-to-one mapping set is constructed by respectively matching the DC bus voltage fluctuation amount, the power module average temperature, the output current imbalance degree average value, and the average total harmonic distortion rate with the corresponding DC bus voltage fluctuation amount distribution factor, the power module average temperature distribution factor, the output current imbalance degree average value distribution factor, and the average total harmonic distortion rate distribution factor. When in use, the DC bus voltage fluctuation amount, the power module average temperature, the output current imbalance degree average value, and the average total harmonic distortion rate obtained in real time are respectively input into the corresponding mapping set, and thus the DC bus voltage fluctuation amount distribution factor, the power module average temperature distribution factor, the output current imbalance degree average value distribution factor, and the average total harmonic distortion rate distribution factor are extracted.

[0051] Analyze the operating status scores of the converters of each wind turbine according to the operating data of the converters of each wind turbine.

[0052] The operating status scores of the converters of each wind turbine represent the quantitative data of the combined influence degree of the DC bus voltage fluctuation amount, the power module average temperature, the output current imbalance degree average value, and the average total harmonic distortion rate of the converters of each wind turbine on the operating status of the corresponding wind turbine converter. The specific analysis process is as follows: The DC bus voltage fluctuation amount, the output current imbalance degree average value, and the average total harmonic distortion rate of the converters of each wind turbine are respectively subjected to differential processing with the corresponding reference data, the power module average temperature is subjected to differential processing with the corresponding ideal value, and the differential processing results are coupled with the corresponding distribution factors to obtain the operating status scores of the converters of each wind turbine.

[0053] In a specific embodiment, the specific representation method of the operating status scores of the converters of each wind turbine is as follows:

[0054]

[0055] Among them, ocs i is the operating status score of the converter of the i-th wind turbine, (ΔV DC ) i is the DC bus voltage fluctuation amount of the converter of the i-th wind turbine, (T PM ) i is the average temperature of the power module of the converter of the i-th wind turbine, (I imb ) iis the average output current unbalance degree of the converter of the i-th wind turbine generator, THD i is the average total harmonic distortion rate of the converter of the i-th wind turbine generator, (ΔV DC ) vef is the reference DC bus voltage fluctuation, (T PM )0 is the average temperature of the ideal power module, (I imb ) vef is the reference average output current unbalance degree, THD vef is the reference average total harmonic distortion rate, α1 is the DC bus voltage fluctuation distribution factor, α2 is the average temperature distribution factor of the power module, α3 is the average output current unbalance degree distribution factor, α4 is the average total harmonic distortion rate distribution factor, i is the number of the wind turbine generator, i = 1, 2,..., m, and m is the number of wind turbine generators.

[0056] Re - monitor the converter status of each buffer unit, and classify each buffer unit into each health - maintaining unit, each self - adaptive regulation unit, and each fault - shutdown unit.

[0057] In this embodiment, re - monitor the converter status of each buffer unit, and classify each buffer unit into each health - maintaining unit, each self - adaptive regulation unit, and each fault - shutdown unit. The specific process is as follows:

[0058] Extract the converter operation status scores of each buffer unit based on the converter operation status scores of each wind turbine generator.

[0059] Extract the converter operation status correction values of each buffer unit based on the converter operation status scores of each buffer unit. The specific extraction process is: extract the operation status correction values corresponding to the operation status score intervals of the converters of each buffer unit stored in the database, and map and extract the operation status correction values corresponding to the intervals where the operation status scores of the converters of each buffer unit are located, which are denoted as the converter operation status correction values of each buffer unit.

[0060] It should be understood that the larger the converter operation status score of the buffer unit, the worse the operation status of the corresponding converter of the buffer unit during the initial monitoring, and the larger the extracted converter operation status correction value of the buffer unit. Because the worse the operation status of the converter during the initial monitoring, the greater the degree of deviation from the normal operation status, and the higher the potential risk. A larger correction value can more significantly reflect this deviation when calculating the corrected operation index values of the converters of the buffer units subsequently, making the evaluation result more accurate.

[0061] Extract the re - monitoring times of each buffer unit based on the operation status scores of the converters in each buffer unit. The specific extraction process is as follows: Extract the re - monitoring times corresponding to the operation status score intervals of each converter stored in the database, and map and extract the re - monitoring times corresponding to the intervals where the operation status scores of the converters in each buffer unit are located, which are recorded as the re - monitoring times of each buffer unit.

[0062] It should be added that the operation status score intervals of the converters are divided according to the rules preset in the database, and the mapping relationship is stored in the database. In specific embodiments, the rules and the mapping relationship can be obtained through various methods. For example, experienced experts in the field of wind turbine research set the index intervals and specific mapping relationships based on long - term accumulated experience.

[0063] It should be understood that the larger the operation status score of the converter in the buffer unit, the worse the operation status of the corresponding converter in the buffer unit during the initial monitoring, and the fewer the extracted re - monitoring times. Because the worse the operation status of the converter during the initial monitoring, the closer it is to the fault state, which means that quick decision - making and processing are required. Excessive re - monitoring will consume a large amount of human, material and time resources, and may also cause delays in the monitoring process, resulting in the inability to process serious problems in a timely manner and further expanding the risks.

[0064] Based on the preset time window and the re - monitoring times of each buffer unit, conduct re - monitoring of the converter status of each buffer unit, analyze the mean value of the operation status scores of the converters in each buffer unit, and combine the operation status correction values of the converters in each buffer unit to obtain the corrected operation index values of the converters in each buffer unit.

[0065] It should be added that the specific process of obtaining the mean value of the operation status scores of the converters in each buffer unit is as follows: After each monitoring is completed, re - analyze the operation status score of the corresponding converter in the buffer unit, and perform mean - value processing on the operation status scores of the converters in the buffer unit after each monitoring is completed to obtain the mean value of the operation status scores of the converters in the buffer unit.

[0066] Traverse each buffer unit to obtain the mean value of the operation status scores of the converters in each buffer unit.

[0067] It should be understood that the corrected operation index value of the converter in each buffer unit is the numerical result of multiplying the mean value of the operation status score of the converter in each buffer unit by the operation status correction value of the converter in each buffer unit.

[0068] If the corrected operation index value of the converter in the buffer unit is less than or equal to the first verification score of the converter operation status, then mark this buffer unit as a health - maintaining unit.

[0069] If the corrected operation index value of the converter of the buffer unit is less than or equal to the first verification score of the converter operation status, it indicates that after re-monitoring and comprehensive correction evaluation of the converter of the buffer unit, the actual operation condition of the converter of the buffer unit is good, the components inside the converter work stably, the quality during the power conversion and output process is reliable, the unit can operate continuously and stably, and there is no need for additional intervention or adjustment of its operation status. Therefore, this type of buffer unit is classified as a health maintenance unit.

[0070] If the corrected operation index value of the converter of the buffer unit is greater than the first verification score of the converter operation status and less than the second verification score of the converter operation status, then this buffer unit is recorded as an adaptive adjustment unit.

[0071] If the corrected operation index value of the converter of the buffer unit is greater than the first verification score of the converter operation status and less than the second verification score of the converter operation status, it indicates that after re-monitoring judgment, although the converter of the buffer unit has not reached the level of serious failure, compared with the health maintenance unit, certain abnormalities have occurred. In order to ensure that the wind turbine unit can operate continuously, stably and efficiently, corresponding measures need to be taken to optimize and adjust this type of buffer unit. Therefore, it is marked as an adaptive adjustment unit for subsequent initial optimization control adjustment of the converter.

[0072] If the corrected operation index value of the converter of the buffer unit is greater than or equal to the second verification score of the converter operation status or the converter operation status score corresponding to a certain monitoring is greater than or equal to the second verification score of the converter operation status, then this buffer unit is recorded as a fault shutdown unit.

[0073] If the corrected operation index value of the converter of the buffer unit is greater than or equal to the second verification score of the converter operation status, it indicates that after re-monitoring judgment, the operation condition of the converter is relatively abnormal. If the unit continues to operate, not only can it not guarantee stable power output, but it is also very likely to cause further damage to the entire wind turbine unit and other equipment in the wind farm, and even trigger safety accidents. Therefore, to avoid more serious consequences, this type of buffer unit must be determined as a fault shutdown unit, the shutdown operation is immediately executed, and a fault maintenance signal is sent.

[0074] Traverse each buffer unit, and extract and count each health maintenance unit, each adaptive adjustment unit and each fault shutdown unit.

[0075] Refer to Figure 3 As shown, it is the optimization adjustment flow chart of the adaptive adjustment unit involved in the embodiment of the present application.

[0076] Perform initial optimization control adjustment on each adaptive adjustment unit, determine the generator collaborative control adjustment requirement, and perform generator collaborative control adjustment and converter optimization control adjustment.

[0077] In this embodiment, converter initial optimization control adjustment is performed on each adaptive adjustment unit, and the specific analysis process is as follows:

[0078] Based on the converter correction operation index values of each buffer unit, the converter correction operation index values of each adaptive adjustment unit are extracted, and the converter optimization parameters stored in the database are thus extracted. The specific extraction process is as follows: Extract the converter optimization parameters corresponding to the interval of the converter correction operation index values of each adaptive adjustment unit stored in the database, and map and extract each converter optimization parameter corresponding to the interval where the converter correction operation index value of each adaptive adjustment unit is located, which is denoted as the converter optimization parameter of each adaptive adjustment unit.

[0079] It should be noted that the interval of the converter correction operation index value of the adaptive adjustment unit is divided according to the rules preset in the database, and the mapping relationship is stored in the database. In a specific embodiment, the rules and the mapping relationship can be obtained through various methods. For example, experienced experts in the field of wind turbine research set the index interval and the specific mapping relationship based on their long-term accumulated experience.

[0080] The converter optimization parameters include the optimized value of the IGBT (Insulated Gate Bipolar Transistor) switching frequency and the optimized value of the set output power.

[0081] It should be added that the larger the converter correction operation index value of the adaptive adjustment unit, the more deviated its operating state is from the ideal state, and the higher the degree of adjustment required for the converter. In this case, reducing the IGBT switching frequency can reduce the switching loss of the converter, reduce equipment heating and aging caused by frequent switching, improve equipment stability, and reducing the set output power can avoid overloading the equipment due to excessive output power exceeding the equipment's tolerance, prevent equipment overload damage, and at the same time help balance power output, improve the power conversion and transmission efficiency, and ensure the stable and efficient operation of the wind turbine under complex working conditions.

[0082] Based on the converter optimization parameters, the initial optimization ratio of each adaptive adjustment unit converter is extracted. The specific extraction process is as follows: Extract the initial optimization ratio corresponding to the interval of each IGBT switching frequency optimized value stored in the database, and map and extract the initial optimization ratio corresponding to the interval where the IGBT switching frequency optimized value is located, which is denoted as the initial optimization ratio of the IGBT switching frequency.

[0083] Extract the initial optimization ratio corresponding to the interval of each set output power optimized value stored in the database, and map and extract the initial optimization ratio corresponding to the interval where the set output power optimized value is located, which is denoted as the initial optimization ratio of the set output power optimized value.

[0084] It should be understood that the larger the optimized parameter of the converter, the higher the required adjustment degree of the converter, and the larger the initial optimization ratio of the converter of the adaptive adjustment unit extracted correspondingly.

[0085] Based on the corrected operation index values of the converters of the respective adaptive adjustment units, the initial optimization ratios of the converters of the respective adaptive adjustment units are extracted. The specific extraction process is as follows: Extract the initial optimization ratios of the converters corresponding to the intervals of the corrected operation index values of the converters of the respective adaptive adjustment units stored in the database, and map and extract the initial optimization ratios of the respective converters corresponding to the intervals where the corrected operation index values of the converters of the respective adaptive adjustment units are located, which are denoted as the initial optimization ratios of the converters of the respective adaptive adjustment units.

[0086] It should be understood that the larger the corrected operation index value of the converter of the adaptive adjustment unit, the more abnormal the operation state of the converter of the adaptive adjustment unit, and the larger the initial optimization ratio of the converter of the adaptive adjustment unit extracted correspondingly.

[0087] Obtain the converter parameters corresponding to the current respective adaptive adjustment units, and perform initial optimization control adjustment of the converter in combination with the optimized parameters of the converters of the respective adaptive adjustment units and the initial optimization ratios of the converters of the respective adaptive adjustment units.

[0088] In a specific embodiment, for an adaptive adjustment unit, assume that the current IGBT switching frequency of this adaptive adjustment unit is x0, the set output power is y0, the optimized value of the IGBT switching frequency extracted correspondingly is x1, the optimized value of the set output power is y1, the initial optimization ratio of the IGBT switching frequency The initial optimization ratio of the set output power Then the IGBT switching frequency after the initial optimization control adjustment of the converter is x, and The set output power is y, and

[0089] In this embodiment, the determination of the generator collaborative control adjustment requirement is as follows: The specific analysis process is as follows:

[0090] After the initial optimization control adjustment of the converters of the respective adaptive adjustment units, collect the adjustment characterization data of the respective adaptive adjustment units, and analyze the initial adjustment influence values of the respective adaptive adjustment units.

[0091] Extract the preset initial adjustment influence threshold in the database.

[0092] If the initial adjustment influence value of the adaptive adjustment unit is less than the initial adjustment influence threshold, record the generator collaborative control adjustment requirement of this adaptive adjustment unit as no collaborative control adjustment required, and complete the adaptive adjustment of the converter.

[0093] If the initial adjustment influence value of the adaptive adjustment unit is less than the initial adjustment influence threshold, it indicates that after the initial optimization control adjustment of the converter of the adaptive adjustment unit, if its initial adjustment influence value is less than the preset initial adjustment influence threshold, it means that the optimization adjustment effect of the converter this time is good, the operation of the converter is relatively stable, it does not cause a large interference to the operation of the transformer, and it will not affect the power transmission and distribution system of the entire wind turbine unit. At this time, the unit can maintain stable operation only by relying on the self-adaptive adjustment of the converter itself, without the need for the transformer to perform coordinated control adjustment. Therefore, the transformer coordinated control adjustment requirement of this adaptive adjustment unit is recorded as no need for coordinated control adjustment, and the converter self-adaptive adjustment is directly completed. This can not only ensure the normal operation of the unit, but also avoid unnecessary equipment coordinated operations, reducing the system complexity and energy consumption.

[0094] If the initial adjustment influence value of the adaptive adjustment unit is greater than or equal to the initial adjustment influence threshold, then the generator coordinated control adjustment requirement of this adaptive adjustment unit is recorded as requiring coordinated control adjustment, and the converter self-adaptive adjustment is completed after the coordinated control adjustment.

[0095] If the initial adjustment influence value of the adaptive adjustment unit is greater than or equal to the initial adjustment influence threshold, it indicates that after the initial optimization control adjustment of the converter, it has a greater impact on the overall operation of the unit. The self-adjustment of the converter cannot make the unit reach a stable operation state, which may affect the normal operation of the transformer, and further affect the power transmission and distribution efficiency of the entire wind turbine unit. In order to ensure the stable and efficient operation of the wind turbine unit, the transformer needs to perform coordinated control adjustment. By adjusting the electromagnetic control parameters such as the excitation voltage and power factor of the transformer, and cooperating with the adjustment of the converter, the operation state of the unit is jointly optimized, and the converter self-adaptive adjustment is completed after the coordinated control adjustment to ensure that the wind turbine unit can also operate reliably under complex working conditions, reduce the possibility of failures, and improve the overall power generation efficiency of the wind farm.

[0096] In this embodiment, the initial adjustment influence value of each adaptive adjustment unit is analyzed as follows:

[0097] The adjustment characterization data of each adaptive adjustment unit includes the inverter output voltage fluctuation amount, bus voltage fluctuation amount, and average load matching degree of each adaptive adjustment unit.

[0098] It should be noted that the adjustment characterization data of the adaptive adjustment unit can all be collected from the SCADA system.

[0099] The load matching degree refers to the ratio of the generator output power to the current set power of the inverter.

[0100] It should be added that the fluctuation amount refers to the difference between the maximum value and the minimum value within the monitoring period.

[0101] There is a close relationship among the inverter output voltage fluctuation, the bus voltage fluctuation, and the average load matching degree. When the inverter output voltage fluctuation is large, it will directly affect the stability of the bus voltage, resulting in an increase in the bus voltage fluctuation. The average load matching degree reflects the ratio of the generator output power to the current set power of the inverter. If the average load matching degree is unreasonable, such as too high or too low, it will cause fluctuations in the inverter output voltage, thereby affecting the bus voltage fluctuation. In addition, the change in the bus voltage fluctuation will also act on the working state of the inverter, further affecting its output voltage fluctuation, while affecting the generator output power and changing the average load matching degree.

[0102] Extract the reference inverter output voltage fluctuation, the reference bus voltage fluctuation, and the reference average load matching degree stored in the database.

[0103] Analyze the initial adjustment influence value of each adaptive adjustment unit according to the respective adaptive adjustment unit adjustment characterization data.

[0104] The initial adjustment influence value of each adaptive adjustment unit is the quantitative data of the joint effect of the inverter output voltage fluctuation, the bus voltage fluctuation, and the average load matching degree of each adaptive adjustment unit on the initial adjustment effect characterization of the adaptive adjustment unit. The specific analysis process is as follows: Differentiate the inverter output voltage fluctuation and the bus voltage fluctuation with their corresponding reference values respectively, differentiate the reference value of the average load matching degree with the average load matching degree, and perform a coupling process on the differential analysis results with the corresponding distribution coefficients to obtain the initial adjustment influence value of each adaptive adjustment unit.

[0105] In a specific embodiment, the initial adjustment influence value of each adaptive adjustment unit is specifically represented as follows:

[0106]

[0107] Where, Ia j is the initial adjustment influence value of the j-th adaptive adjustment unit, (ΔV out ) j is the inverter output voltage fluctuation of the j-th adaptive adjustment unit, (ΔV DC ) ′ j is the bus voltage fluctuation of the j-th adaptive adjustment unit, is the average load matching degree of the j-th adaptive adjustment unit, (ΔV out ) vef is the reference inverter output voltage fluctuation, (ΔV DC ) ′ vef is the reference bus voltage fluctuation, is the reference average load matching degree, β1 is the distribution coefficient of the inverter output voltage fluctuation amount, β2 is the distribution coefficient of the bus voltage fluctuation amount, β3 is the distribution coefficient of the average load matching degree, j is the number of the adaptive regulation units, j = 1, 2,..., n, and n is the number of the adaptive regulation units.

[0108] It should be noted that the value ranges of the distribution coefficient of the inverter output voltage fluctuation amount, the distribution coefficient of the bus voltage fluctuation amount, and the distribution coefficient of the average load matching degree are all between 0 and 1, and the sum of the distribution coefficient of the inverter output voltage fluctuation amount, the distribution coefficient of the bus voltage fluctuation amount, and the distribution coefficient of the average load matching degree is 1. When in use, the pre-set values can be directly extracted from the database. The extraction method is as follows: construct mapping sets for the inverter output voltage fluctuation amount, the bus voltage fluctuation amount, and the average load matching degree respectively with the corresponding distribution coefficients. When in use, input the inverter output voltage fluctuation amount, the bus voltage fluctuation amount, and the average load matching degree obtained in real time into the corresponding mapping sets, so as to extract the distribution coefficient of the inverter output voltage fluctuation amount, the distribution coefficient of the bus voltage fluctuation amount, and the distribution coefficient of the average load matching degree.

[0109] In this embodiment, the collaborative control regulation of the generators is carried out, and the specific analysis steps are as follows:

[0110] If the generator collaborative control regulation requirement of the adaptive regulation unit is the demand collaborative control regulation, subtract the initial regulation influence threshold from the initial regulation influence value of the adaptive regulation unit to obtain the initial regulation influence deviation value of the adaptive regulation unit;

[0111] Traverse each adaptive regulation unit to obtain the initial regulation influence deviation value of each adaptive regulation unit;

[0112] Extract the electromagnetic control parameters of each generator based on the initial regulation influence deviation value of each adaptive regulation unit. The specific extraction process is as follows: extract the electromagnetic control parameters corresponding to the interval of the initial regulation influence deviation value of each adaptive regulation unit stored in the database, and map and extract the electromagnetic control parameters corresponding to the interval where the initial regulation influence deviation value of each adaptive regulation unit is located, which are denoted as the electromagnetic control parameters of each generator;

[0113] The electromagnetic control parameters of the generator include the regulated value of the generator excitation voltage and the regulated value of the generator set power factor;

[0114] It should be noted that the larger the initial regulation influence deviation value of the adaptive regulation unit, the greater the abnormality caused by the initial regulation of the adaptive regulation unit, and the larger the regulated value of the generator excitation voltage and the regulated value of the generator set power factor extracted correspondingly.

[0115] It should be supplemented that the regulated value of the generator excitation voltage and the regulated value of the generator set power factor are both specific numerical results without positive or negative meanings.

[0116] Extract the preset ideal interval of average load matching degree in the database, including the upper limit value and the lower limit value of the ideal interval of average load matching degree.

[0117] If the average load matching degree is greater than the upper limit value of the ideal interval of average load matching degree, reduce the generator excitation voltage and increase the generator set power factor, that is, subtract the generator excitation voltage regulation value from the current generator excitation voltage, and add the generator set power factor regulation value to the current generator set power factor.

[0118] It should be understood that when the average load matching degree is greater than the upper limit value of the ideal interval of average load matching degree, it indicates that the ratio of the generator output power to the current set power of the inverter is too high. This may be due to the relatively low set power of the inverter while the generator output power is large, resulting in an unbalanced power distribution in the system. In this state, reducing the generator excitation voltage can lower the generator output power because the reduction of the excitation voltage weakens the generator magnetic field, thereby reducing the generation of electrical energy. At the same time, increasing the generator set power factor can improve the effective utilization efficiency of electrical energy and reduce the transmission of reactive power. Through these two operations, the generator output power can be made more matched with the inverter set power, avoiding problems such as equipment overload and increased losses caused by unreasonable power distribution, and ensuring the stable and efficient operation of the wind turbine generator set.

[0119] If the average load matching degree is less than the lower limit value of the ideal interval of average load matching degree, increase the generator excitation voltage and reduce the generator set power factor, that is, add the generator excitation voltage regulation value to the current generator excitation voltage, and subtract the generator set power factor regulation value from the current generator set power factor.

[0120] When the average load matching degree is less than the lower limit value of the ideal interval of average load matching degree, it indicates that the generator output power is relatively insufficient and cannot meet the demand of the inverter set power. This may affect the stability and efficiency of the power output of the entire wind turbine generator set. Increasing the generator excitation voltage can enhance the generator magnetic field and improve the generator output power to make it meet the power requirements of the inverter as much as possible. And reducing the generator set power factor can appropriately increase the output of reactive power, compensate for the power shortage to a certain extent, and improve the load matching situation. Such adjustments help to optimize the operating state of the wind turbine generator set, ensure the stability of power supply, and avoid abnormal equipment operation or performance degradation caused by power shortage.

[0121] If the average load matching degree is within the ideal interval of average load matching degree, no adjustment is made to the generator excitation voltage and the generator set power factor.

[0122] Carry out coordinated control and adjustment of the generator based on the generator electromagnetic control parameters.

[0123] Perform shutdown operations on each fault - shutdown unit, obtain the power supply gap of the wind farm, call each available - output unit for incremental output adjustment, and complete the compensation for the power supply gap.

[0124] In this embodiment, calling each available - output unit for incremental output adjustment, the specific analysis steps are as follows:

[0125] Perform shutdown operations on each fault - shutdown unit, and obtain the power supply gap of the wind farm;

[0126] It should be added that the way to obtain the power supply gap of the wind farm is as follows: Extract the expected power supply of each fault - shutdown unit from the SCADA system, and perform a summation process to obtain the total expected power supply. Use the numerical result of the total expected power supply as the power supply gap of the wind farm.

[0127] Obtain the total supplementary power supply of the available - output units;

[0128] It should be added that the way to obtain the total supplementary power supply of the available - output units is as follows: Extract the expected power supply and the theoretical power supply of each available - output wind turbine from the SCADA system. Subtract the expected power supply of each available - output wind turbine from the theoretical power supply of each available - output wind turbine, and then multiply by the safety redundancy coefficient of each available - output wind turbine preset in the database to obtain the supplementary power supply of each available - output wind turbine. Perform a summation process on the supplementary power supplies of each available - output wind turbine to obtain the total supplementary power supply of the available - output units.

[0129] It should be noted that the theoretical power supply of an available - output wind turbine refers to the theoretical maximum power supply of the corresponding wind turbine unit, and the expected power supply of an available - output wind turbine refers to the expected power supply of the corresponding wind turbine unit operating for one power - generation cycle with the current working parameters.

[0130] If the power supply gap of the wind farm is less than or equal to the total supplementary power supply of the available - output units, directly call each available - output unit for incremental output adjustment;

[0131] In a specific embodiment, the process of calling each available - output unit for incremental output adjustment is as follows:

[0132] Extract the converter operation status scores of each available - output wind turbine unit based on the converter operation status scores of each wind turbine unit.

[0133] Arrange the converter operation status scores of each available - output wind turbine unit in descending order, and record the arrangement order as the power supply priority of each available - output wind turbine unit.

[0134] Extract the power compensation ratios corresponding to the power supply priorities of each available wind turbine stored in the database, and record them as the power compensation ratios of each available wind turbine.

[0135] Multiply the power compensation ratio of each available wind turbine by the power supply gap of the wind farm to obtain the required power compensation amount of each available wind turbine.

[0136] Extract the wind turbine operation adjustment parameters corresponding to the required power compensation amount intervals of each available wind turbine stored in the database, and map and extract the wind turbine operation adjustment parameters corresponding to the intervals where the required power compensation amounts of each available wind turbine are located, and record them as the wind turbine operation adjustment parameters of each available wind turbine.

[0137] Extract the current operation parameters of each available wind turbine.

[0138] Based on the current operation parameters of each available wind turbine and the wind turbine operation adjustment parameters, perform incremental output adjustment accordingly.

[0139] If the power supply gap of the wind farm is greater than the total supplementary power supply of the available units, after calling each available unit for incremental output adjustment, obtain the supplementary power supply gap, and generate an emergency wind turbine operation prompt message based on the supplementary power supply gap.

[0140] Refer to Figure 2 As shown, the second aspect of the present invention provides a control system based on wind turbine fault information, including:

[0141] A wind turbine operation monitoring module, which is used to monitor the operation status of the converters of each wind turbine in the wind farm, and thus divide each wind turbine into each available unit, each buffer unit, and each fault shutdown unit.

[0142] A buffer unit re-monitoring module, which is used to re-monitor the converter status of each buffer unit, and divide each buffer unit into each health maintenance unit, each self-adaptive adjustment unit, and each fault shutdown unit.

[0143] An adaptive adjustment unit control and adjustment module, which is used to perform initial optimization control and adjustment of the converters of each self-adaptive adjustment unit, determine the generator collaborative control and adjustment requirements, and perform generator collaborative control and adjustment and converter optimization control and adjustment.

[0144] A power supply gap compensation module, which is used to perform shutdown operations on each fault shutdown unit, obtain the power supply gap of the wind farm, call each available unit for incremental output adjustment, and complete the power supply gap compensation.

[0145] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0146] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0147] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0148] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0149] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0150] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A control method based on wind turbine fault information, characterized in that: The following steps are involved: Monitor the operating status of the converters of each wind turbine in the wind farm, thereby dividing each wind turbine into units that can produce power, each buffer unit and each fault shutdown unit; Re-monitor the converter status of each buffer unit and divide each buffer unit into healthy maintenance units, adaptive adjustment units and fault shutdown units; Perform initial converter optimization control adjustment on each adaptive adjustment unit, determine the generator coordinated control adjustment requirements, and perform generator coordinated control adjustment and converter optimization control adjustment; Shut down all faulty units, obtain the power supply gap of the wind farm, call on all units that can produce power to perform incremental output adjustment, and complete the power supply gap compensation.

2. The control method based on wind turbine fault information according to claim 1, characterized in that: The monitoring of the operating status of the converter of each wind turbine in the wind farm divides each wind turbine into each output unit, each buffer unit and each fault shutdown unit. The specific analysis method is as follows: Monitor the operating status of the converter of each wind turbine in the wind farm and obtain the operating status score of the converter of each wind turbine; Extracting a first verification score of the converter operation status and a second verification score of the converter operation status preset in a database; The wind turbine sets whose converter operation status scores are less than or equal to the first converter operation status verification scores are recorded as units that can generate power; The wind turbine set whose converter operation status score is greater than the first converter operation status verification score and less than the second converter operation status verification score is recorded as a buffer set; Recording a wind turbine set whose converter operation status score is greater than or equal to the converter operation status second verification score as a fault shutdown set; Traverse each wind turbine set in turn, extract statistics to obtain each output unit, each buffer unit and each fault shutdown unit.

3. The control method based on wind turbine fault information as claimed in claim 2, characterized in that: The specific analysis process of the operating status scoring of each wind turbine converter is as follows: During a preset monitoring period, monitor the operating status of the converter of each wind turbine in the wind farm and collect the operating data of the converter of each wind turbine; The operating data of each wind turbine converter include the DC bus voltage fluctuation, the average temperature of the power module, the average value of the output current imbalance and the average total harmonic distortion rate of each wind turbine converter; Analyze the operating status score of each wind turbine converter based on the operating data of each wind turbine converter; The operating status score of each wind turbine converter represents the quantitative data of the degree of influence of the DC bus voltage fluctuation, the average temperature of the power module, the mean value of the output current imbalance and the average total harmonic distortion rate of each wind turbine converter on the operating status of the corresponding wind turbine converter. The specific analysis process is: the DC bus voltage fluctuation, the average value of the output current imbalance and the average total harmonic distortion rate of each wind turbine converter are differentiated from the corresponding reference data, the average temperature of the power module is differentiated from the corresponding ideal value, and the differentiation result is coupled with the corresponding allocation factor to obtain the operating status score of each wind turbine converter.

4. The control method based on wind turbine fault information according to claim 1, characterized in that: The inverter status of each buffer unit is re-monitored, and each buffer unit is divided into healthy maintenance units, adaptive adjustment units and fault shutdown units. The specific process is as follows: Extracting the converter operation status score of each buffer unit based on the converter operation status score of each wind turbine unit; Extracting a correction value of the operating state of each buffer unit converter based on the operating state score of each buffer unit converter; Extract the re-monitoring times of each buffer unit based on the converter operation status score of each buffer unit; Re-monitor the status of the converter of each buffer unit based on the preset time window and the number of re-monitoring of each buffer unit, analyze the average score of the converter operation status of each buffer unit, and combine the converter operation status correction value of each buffer unit to obtain the converter correction operation index value of each buffer unit; If the corrected operation index value of the buffer unit converter is less than or equal to the first converter operation status verification score, the buffer unit is recorded as a healthy maintenance unit; If the corrected operation index value of the buffer unit converter is greater than the first verification score of the converter operation state and less than the second verification score of the converter operation state, the buffer unit is recorded as an adaptive regulation unit; If the corrected operation index value of the buffer unit converter is greater than or equal to the second converter operation status verification score or the converter operation status score corresponding to a certain monitoring is greater than or equal to the second converter operation status verification score, the buffer unit is recorded as a fault shutdown unit; Traverse each buffer unit and extract statistics to obtain each health maintenance unit, each adaptive adjustment unit and each fault shutdown unit.

5. The control method based on wind turbine fault information according to claim 1, characterized in that: The specific analysis process of performing initial converter optimization control adjustment on each adaptive adjustment unit is as follows: Extracting the corrected operating index value of each adaptive regulating unit converter based on the corrected operating index value of each buffer unit converter, thereby extracting the optimized parameters of each adaptive regulating unit converter stored in the database; The converter optimization parameters include an IGBT switching frequency optimization value and a set output power optimization value; Extracting the initial optimization ratio of the converter of each adaptive regulating unit based on the converter optimization parameters; The corresponding converter parameters of each current adaptive adjustment unit are obtained, and the initial optimization control adjustment of the converter is performed in combination with the converter optimization parameters of each adaptive adjustment unit and the initial optimization ratio of the converter of each adaptive adjustment unit.

6. The control method based on wind turbine fault information according to claim 1, characterized in that: The specific analysis process of determining the generator coordinated control regulation demand is as follows: After the initial optimization control adjustment of the converter of each adaptive adjustment unit, the adjustment characterization data of each adaptive adjustment unit is collected, and the initial adjustment impact value of each adaptive adjustment unit is analyzed; Extracting the initial adjustment impact threshold preset in the database; If the initial adjustment influence value of the adaptive adjustment unit is less than the initial adjustment influence threshold, the generator coordinated control adjustment demand of the adaptive adjustment unit is recorded as no coordinated control adjustment is required, and the converter adaptive adjustment is completed; If the initial adjustment influence value of the adaptive adjustment unit is greater than or equal to the initial adjustment influence threshold, the generator cooperative control adjustment demand of the adaptive adjustment unit is recorded as demand cooperative control adjustment, and the converter adaptive adjustment is completed after the cooperative control adjustment.

7. The control method based on wind turbine fault information as claimed in claim 6, characterized in that: The specific analysis process of the initial adjustment impact value of each adaptive adjustment unit is as follows: The regulation characterization data of each adaptive regulation unit includes the inverter output voltage fluctuation, bus voltage fluctuation and average load matching degree of each adaptive regulation unit; Analyze the initial regulation impact value of each adaptive regulation unit according to the regulation characterization data of each adaptive regulation unit; The initial regulation influence value of each adaptive regulation unit is the quantitative data which is jointly characterized by the inverter output voltage fluctuation, bus voltage fluctuation and average load matching degree of each adaptive regulation unit on the initial regulation effect of the adaptive regulation unit. The specific analysis process is: the inverter output voltage fluctuation and bus voltage fluctuation are differentiated from the corresponding reference values ​​respectively, the average load matching degree reference value is differentiated from the average load matching degree, and the differentiation analysis results are coupled with the corresponding allocation coefficient to obtain the initial regulation influence value of each adaptive regulation unit.

8. The control method based on wind turbine fault information according to claim 1, characterized in that: The specific analysis steps for the generator coordinated control adjustment are as follows: If the generator cooperative control regulation demand of the adaptive regulation unit is demand cooperative control regulation, the initial regulation influence value of the adaptive regulation unit is subtracted from the initial regulation influence threshold to obtain the initial regulation influence deviation value of the adaptive regulation unit; Traverse each adaptive adjustment unit to obtain the initial adjustment influence deviation value of each adaptive adjustment unit; Extracting electromagnetic control parameters of each generator based on initial regulation influence deviation value of each adaptive regulation unit; The generator electromagnetic control parameters include a generator excitation voltage control value and a generator set power factor control value; Generator coordinated control adjustment is performed based on the generator electromagnetic control parameters.

9. The control method based on wind turbine fault information according to claim 1, characterized in that: The specific analysis steps of calling each unit capable of generating output to perform incremental output adjustment are as follows: Perform shutdown operations on each faulty shutdown unit to obtain the power supply gap of the wind farm; Obtain the total amount of additional power supply from the units that can generate power; If the power supply gap of the wind farm is less than or equal to the total amount of additional power supply from the available generating units, directly call on each available generating unit to perform incremental output adjustment; If the power supply gap of the wind farm is greater than the total amount of additional power supply from the units that can produce power, each unit that can produce power is called upon to perform incremental output adjustment to obtain the additional power supply gap, and emergency wind turbine operation prompt information is generated based on the additional power supply gap.

10. A system using the control method based on wind turbine fault information as claimed in any one of claims 1 to 9, characterized in that: include: The wind turbine operation monitoring module is used to monitor the operating status of the converters of each wind turbine in the wind farm, thereby dividing each wind turbine into each output unit, each buffer unit and each fault shutdown unit; The buffer unit re-monitoring module is used to re-monitor the converter status of each buffer unit and divide each buffer unit into healthy maintenance units, adaptive adjustment units and fault shutdown units; The adaptive adjustment unit control and adjustment module is used to perform initial converter optimization control and adjustment on each adaptive adjustment unit, determine the generator coordinated control and adjustment requirements, and perform generator coordinated control and adjustment and converter optimization control and adjustment; The power supply gap compensation module is used to execute shutdown operations on each faulty shutdown unit, obtain the power supply gap of the wind farm, call each output unit to perform incremental output adjustment, and complete the power supply gap compensation.

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