Voltage stability coordination control system for wind power plant

Abstract

The invention discloses a voltage stability coordination control system for a wind power plant, and particularly relates to the technical field of wind power plants, and the system comprises a control region determination module which is used for determining target wind power plant data as a target control region, and then dividing the target control region into sub-regions according to an equal-time division mode, the sub-regions in the target control region are sequentially numbered as 1, 2,..., i,..., n according to equal time; sequentially numbering 1, 2,..., j,..., m according to different wind power plant motors; the motor operation data acquisition module is used for acquiring motor operation data of a target wind power plant and transmitting the motor operation data to the motor operation data processing module; according to the invention, the operation data can be rapidly collected and processed through the real-time collection of the wind power plant data, the control instruction is sent in time, the operation parameters of the equipment are rapidly adjusted, the response time of voltage adjustment is greatly shortened, emergencies are effectively dealt with, and the real-time performance is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farms, and more particularly to a voltage stability coordination control system for wind farms. Background Art

[0002] With the rapid development of wind power generation technology, the scale of wind farms continues to expand, and their share in the power system is also increasing. They can provide clean energy, enhance energy supply stability, promote energy sustainable development, and reduce environmental pollution risks. Therefore, there is a need for a system and method that can coordinate and control wind farm voltage in real time, accurately, and efficiently.

[0003] Traditional wind farm control systems include a monitoring module, a power control module, and a safety protection module. The monitoring module monitors and displays wind power data, providing an overview of the entire wind power generation situation through the monitoring interface. When equipment parameters are detected to be outside the normal range or a fault occurs, an alarm will be issued in a timely manner to remind operation and maintenance personnel to take appropriate measures. The power control module adjusts the active power of the wind farm based on the needs of the power grid and the wind resource conditions. The safety protection module monitors the operating status of the equipment in real time and takes protective measures when an abnormal situation is detected.

[0004] However, in actual use, it still has some shortcomings, such as incomplete data collection. The traditional system only collects and analyzes the data of a single fan itself, and cannot judge the impact of other factors on the fan, so the collected data is not comprehensive; lack of real-time feedback. The traditional system only collects data from the fan at fixed times when detecting the fan, and relies on management personnel to monitor and inspect for emergencies, and the real-time performance is poor; insufficient predictive ability. The traditional system only issues an alarm when simple equipment data exceeds the normal range, and cannot conduct more in-depth analysis based on existing data to achieve predictive effects, and has poor predictive ability.

[0005] Therefore, there is an urgent need to provide a voltage stability coordination control system for wind farms to solve the problems of incomplete data collection, lack of real-time feedback, and insufficient prediction capabilities of existing wind farm control systems. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a voltage stability coordination control system for a wind farm, which solves the problems raised in the above-mentioned background technology through the following solutions.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a voltage stability coordination control system for a wind farm, comprising:

[0008] Control area determination module: used to determine the target wind farm data as the target control area, and then divide it into sub-areas according to the equal time division method, and number each sub-area in the target control area in sequence as 1, 2, ..., i, ..., n according to the equal time; and number them in sequence as 1, 2, ..., j, ..., m according to the different wind farm motors;

[0009] Motor operation data acquisition module: used to obtain the motor operation data of the target wind farm and transmit the motor operation data to the motor operation data processing module;

[0010] Motor operation data processing module: used to analyze and process the motor operation data collected by the motor operation data acquisition module to obtain the motor blade data influence coefficient value, the motor electromagnetic characteristic data influence coefficient value and the motor state data influence coefficient value, and transmit them to the comprehensive analysis module;

[0011] Grid access data acquisition module: used to obtain the grid access data of the target wind farm in real time and transmit the grid access data to the grid access data processing module;

[0012] Grid access data processing module: used to analyze and process the grid access data collected by the grid access data acquisition module to obtain the grid load data impact coefficient value and the grid stability data impact coefficient value, and transmit them to the comprehensive analysis module;

[0013] Comprehensive data analysis module: used to import the motor blade data influence coefficient values, motor electromagnetic characteristic data influence coefficient values, motor status data influence coefficient values, grid load data influence coefficient values, and grid stability data influence coefficient values obtained by the motor operation data processing module and the grid access data processing module into the wind farm coordinated control mode rationality index mathematical model to obtain the wind farm coordinated control mode rationality index value, and transmit it to the control mode evaluation module;

[0014] Control mode evaluation module: used to compare the wind farm coordinated control mode rationality index value obtained by the comprehensive data analysis module with the preset wind farm coordinated control mode rationality index value under the corresponding power, calculate the difference between the wind farm coordinated control mode rationality index value and the preset wind farm coordinated control mode rationality index value under the corresponding power, and when the difference is less than the preset difference, transmit the judgment result and the target wind farm data to the data interaction transmission module; when the difference is greater than the preset difference, transmit the judgment result and the target wind farm data to the wind farm coordinated control module;

[0015] The wind farm coordination control module is used to adjust the wind farm motor to the next standard power generation mode according to the judgment result and the target wind farm data, and then transmit the judgment result and the target wind farm data to the data interaction transmission module;

[0016] Data interaction and transmission module: used to transmit the difference value, judgment result and target wind farm data obtained by the control mode evaluation module to the user information terminal, providing reference data for users to make adjustment measures.

[0017] Preferably, the motor operation data includes motor blade data influencing parameters, motor electromagnetic characteristic data influencing parameters and motor state data influencing parameters;

[0018] The parameters affecting the motor blade data include the blade pitch angle, denoted as θp, wind speed, denoted as v; wind turbine power, denoted as P; blade lift coefficient, denoted as Cl; wind turbine terminal voltage phase angle, denoted as θw; blade swept area, denoted as S; the parameters affecting the motor electromagnetic characteristics data include the wind turbine voltage, denoted as U; wind turbine discharge, denoted as D; wind turbine power, denoted as P; wind turbine current, denoted as I; wind turbine capacitance, denoted as R; wind turbine pulse frequency, denoted as f; motor status data include wind turbine bearing temperature, denoted as T, wind turbine cooling medium inlet and outlet temperature difference, denoted as ΔT; wind turbine axial vibration acceleration, denoted as a; wind turbine radial vibration displacement amplitude, denoted as d; wind turbine vibration phase difference, denoted as Δd; wind turbine power, denoted as P.

[0019] Preferably, the motion data processing module includes a motor blade data influence coefficient calculation unit, a motor electromagnetic characteristic data influence coefficient calculation unit, and a motor state data influence coefficient calculation unit.

[0020] Preferably, the motor blade data influence coefficient calculation unit is used to import the motor blade data influence parameters into the motor blade data influence coefficient mathematical model to obtain the motor blade data influence coefficient value; the motor electromagnetic characteristic data influence coefficient calculation unit is used to import the motor electromagnetic characteristic data influence parameters into the motor electromagnetic characteristic data influence coefficient mathematical model to obtain the motor electromagnetic characteristic data influence coefficient value; the motor state data influence coefficient calculation unit is used to import the motor state data influence parameters into the motor state data influence coefficient mathematical model to obtain the motor state data influence coefficient value.

[0021] Preferably, the mathematical model of the motor blade data influence coefficient is specifically:

[0022] ,

[0023] The mathematical model of the influence coefficient of the motor electromagnetic characteristic data is as follows:

[0024] ,

[0025] The mathematical model of the motor status data influence coefficient is as follows:

[0026] ,

[0027] where θp （i，j） Indicates the blade pitch angle of the jth wind turbine in the i-th time period, v （i，j） represents the wind speed of the jth wind turbine in the i-th time period; P （i，j） P represents the wind turbine power of the jth wind turbine in the i-th time period; （i-1，j） represents the wind turbine power of the jth wind turbine in the i-1th time period; Cl （i，j） Indicates the lift coefficient of the blade of the j-th wind turbine in the i-th time period, θw （i，j） S represents the voltage phase angle of the wind turbine terminal of the jth wind turbine in the i-th time period; （i，j） represents the blade swept area of the jth wind turbine in the i-th time period; U （i，j） represents the wind turbine voltage of the jth wind turbine in the i-th time period; D （i，j） Indicates the discharge of the wind turbine of the jth wind turbine in the i-th time period; I （i，j） Indicates the wind turbine current of the jth wind turbine in the i-th time period; I （i-1，j） represents the wind turbine current of the jth wind turbine in the i-1th time period; R （i，j） represents the wind turbine capacitance of the jth wind turbine in the i-th time period; f （i，j） represents the wind turbine pulse frequency of the jth wind turbine in the i-th time period; f max Indicates the maximum allowable wind turbine pulse frequency; T （i，j） Indicates the bearing temperature of the wind turbine of the jth wind turbine in the i-th time period, Indicates the rated temperature of the wind turbine bearing, ΔT （i，j） represents the temperature difference between the inlet and outlet of the cooling medium of the wind turbine j in the i-th time period; a （i，j） represents the axial vibration acceleration of the wind turbine of the jth wind turbine in the i-th time period; d （i，j） Indicates the radial vibration displacement amplitude of the wind turbine of the jth wind turbine in the i-th time period, Δd （i，j） It represents the vibration phase difference of the wind turbine of the jth wind turbine in the i-th time period.

[0028] Preferably, the equipment data includes parameters affecting grid load data and parameters affecting grid stability data;

[0029] The parameters affecting the grid load data include the grid voltage amplitude, denoted as V; the active power of the load node, denoted as P1; the reactive power of the load node, denoted as Q1; the active power of the wind turbine, denoted as P2; the reactive power of the wind turbine, denoted as Q2; the parameters affecting the grid stability data include the grid voltage amplitude, denoted as V; the grid voltage, denoted as U1, the grid side voltage phase angle, denoted as , the active power on the grid side is recorded as P3; the reactive power on the grid side is recorded as Q3; the active power of the wind turbine is recorded as P2; the reactive power of the wind turbine is recorded as Q2; the voltage of the wind turbine is recorded as U2; the grid frequency is recorded as F; the short-circuit capacity of the grid is recorded as s; the equivalent impedance of the grid is recorded as Z.

[0030] Preferably, the equipment data processing module includes a power grid load data influence coefficient calculation unit and a power grid stability data influence coefficient calculation unit.

[0031] Preferably, the grid load data influence coefficient calculation unit is used to import the grid load data influence parameters into the grid load data influence coefficient mathematical model to obtain the grid load data influence coefficient value; the grid stability data influence coefficient calculation unit is used to import the grid stability data influence parameters into the grid stability data influence coefficient mathematical model to obtain the grid stability data influence coefficient value.

[0032] Preferably, the mathematical model of the grid load data influence coefficient is specifically:

[0033] ,

[0034] The mathematical model of the influence coefficient of power grid stability data is as follows:

[0035] ,

[0036] Where V i represents the voltage amplitude of the grid connection point in the i-th time period; Indicates the rated grid-connected point voltage amplitude; P1 i Indicates the active power of the load node in the i-th time period, Q1 i P2 represents the reactive power of the load node in the i-th time period; i represents the active power of the wind turbine in the i-th time period; Q2 i Indicates the reactive power of the wind turbine in the i-th time period; U1 i It represents the grid connection point voltage in the i-th time period, denoted as U1, Indicates the grid side voltage phase angle in the i-th time period, P3 i Indicates the active power on the grid side during the i-th time period; Q3 i Indicates the reactive power on the grid side during the i-th time period; U2 i represents the voltage of the wind turbine in the i-th time period; F i represents the grid frequency in the i-th time period; s i represents the short-circuit capacity of the power grid in the i-th time period; Z i represents the equivalent impedance of the power grid in the i-th time period.

[0037] Preferably, the mathematical model of the rationality index of the wind farm coordinated control mode is specifically:

[0038] .

[0039] Technical effects and advantages of the present invention:

[0040] 1. By simultaneously analyzing and processing motor operating data and grid access data, the present invention can perform real-time analysis and evaluation of the overall operating status of a wind farm. It can comprehensively consider the operating conditions of the wind farm and achieve unified and coordinated control of the entire wind farm based on the real-time operating conditions of the wind farm and the grid conditions. This effectively avoids problems caused by the control of a single motor and greatly improves the voltage stability of the wind farm.

[0041] 2. The present invention can quickly collect and process operating data through real-time acquisition of wind farm data, and promptly issue control instructions to quickly adjust the operating parameters of the equipment, greatly shortening the response time of voltage regulation, effectively responding to emergencies, and improving real-time performance;

[0042] 3. The present invention not only collects the operating data of the wind turbine generator set, but also includes various information on the grid access situation. Through comprehensive monitoring, potential problems and risks can be discovered in a timely manner, providing guarantees for the safe and stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] As attached Figure 1 A voltage stability coordination control system for a wind farm is shown, comprising

[0046] Control area determination module: used to determine the target wind farm data as the target control area, and then divide it into sub-areas according to the equal time division method, and number each sub-area in the target control area in sequence as 1, 2, ..., i, ..., n according to the equal time; and number them in sequence as 1, 2, ..., j, ..., m according to the different wind farm motors;

[0047] Motor operation data acquisition module: used to obtain the motor operation data of the target wind farm and transmit the motor operation data to the motor operation data processing module;

[0048] In this embodiment, it should be specifically explained that the motor operation data includes motor blade data influencing parameters, motor electromagnetic characteristic data influencing parameters, and motor state data influencing parameters.

[0049] In this embodiment, it should be specifically noted that the parameters affecting the motor blade data include the blade pitch angle, denoted as θp, wind speed, denoted as v; wind turbine power, denoted as P; blade lift coefficient, denoted as Cl; wind turbine terminal voltage phase angle, denoted as θw; blade swept area, denoted as S; motor electromagnetic characteristic data affecting parameters include wind turbine voltage, denoted as U; wind turbine discharge, denoted as D; wind turbine power, denoted as P; wind turbine current, denoted as I; wind turbine capacitance, denoted as R; wind turbine pulse frequency, denoted as f; motor status data include wind turbine bearing temperature, denoted as T, wind turbine cooling medium inlet and outlet temperature difference, denoted as ΔT; wind turbine axial vibration acceleration, denoted as a; wind turbine radial vibration displacement amplitude, denoted as d; wind turbine vibration phase difference, denoted as Δd; wind turbine power, denoted as P.

[0050] In this embodiment, it is specifically necessary to explain that the motor operation data acquisition module realizes dynamic monitoring of the motor operation status through multi-source sensor fusion technology. A fiber Bragg grating strain sensor and a laser displacement sensor are installed at the root of the blade to collaboratively monitor the blade flapping modal frequency and the dynamic deviation of the torsion angle. A three-axis accelerometer and an inclinometer are deployed at the bottom of the tower to construct a vibration displacement-acceleration coupling monitoring system. An infrared thermal imager and an oil spectrometer are used at the bearing to realize dual monitoring of the temperature field distribution and lubrication status. An electronic mutual inductor is configured to collect voltage and current signals in real time. A high-frequency voltage probe and a Rogowski coil are deployed on the DC bus of the converter to capture ripple voltage and discharge pulse characteristics. A distributed fiber optic temperature measurement system is used to monitor the winding temperature and construct a three-dimensional temperature field model. An ultrasonic anemometer and anemometer are configured at the hub height and combined with a laser radar to construct a vertical profile of wind shear. An array of micro pressure sensors are integrated on the blade surface to invert the real-time lift coefficient through pressure distribution. The weather station simultaneously collects air pressure, humidity, and light to construct an environmental correction model to obtain motor operation data.

[0051] Motor operation data processing module: used to analyze and process the motor operation data collected by the motor operation data acquisition module to obtain the motor blade data influence coefficient value, the motor electromagnetic characteristic data influence coefficient value and the motor state data influence coefficient value, and transmit them to the comprehensive analysis module;

[0052] In this embodiment, it should be specifically explained that the motion data processing module includes a motor blade data influence coefficient calculation unit, a motor electromagnetic characteristic data influence coefficient calculation unit, and a motor state data influence coefficient calculation unit.

[0053] In this embodiment, it is specifically necessary to explain that the motor blade data influence coefficient calculation unit is used to import the motor blade data influence parameters into the motor blade data influence coefficient mathematical model to obtain the motor blade data influence coefficient value; the motor electromagnetic characteristic data influence coefficient calculation unit is used to import the motor electromagnetic characteristic data influence parameters into the motor electromagnetic characteristic data influence coefficient mathematical model to obtain the motor electromagnetic characteristic data influence coefficient value; the motor state data influence coefficient calculation unit is used to import the motor state data influence parameters into the motor state data influence coefficient mathematical model to obtain the motor state data influence coefficient value.

[0054] In this embodiment, it should be specifically explained that the mathematical model of the motor blade data influence coefficient is specifically:

[0055] ,

[0056] The mathematical model of the influence coefficient of the motor electromagnetic characteristic data is as follows:

[0057] ,

[0058] The mathematical model of the motor status data influence coefficient is as follows:

[0059] ,

[0060] where θp （i，j） Indicates the blade pitch angle of the jth wind turbine in the i-th time period, v （i，j） represents the wind speed of the jth wind turbine in the i-th time period; P （i，j） P represents the wind turbine power of the jth wind turbine in the i-th time period; （i-1，j） represents the wind turbine power of the jth wind turbine in the i-1th time period; Cl （i，j） Indicates the lift coefficient of the blade of the j-th wind turbine in the i-th time period, θw （i，j） S represents the voltage phase angle of the wind turbine terminal of the jth wind turbine in the i-th time period; （i，j） represents the blade swept area of the jth wind turbine in the i-th time period; U （i，j） represents the wind turbine voltage of the jth wind turbine in the i-th time period; D （i，j） Indicates the discharge of the wind turbine of the jth wind turbine in the i-th time period; I （i，j） Indicates the wind turbine current of the jth wind turbine in the i-th time period; I （i-1，j）represents the wind turbine current of the jth wind turbine in the i-1th time period; R （i，j） represents the wind turbine capacitance of the jth wind turbine in the i-th time period; f （i，j） represents the wind turbine pulse frequency of the jth wind turbine in the i-th time period; f max Indicates the maximum allowable wind turbine pulse frequency; T （i，j） Indicates the bearing temperature of the wind turbine of the jth wind turbine in the i-th time period, Indicates the rated temperature of the wind turbine bearing, ΔT （i，j） represents the temperature difference between the inlet and outlet of the cooling medium of the wind turbine j in the i-th time period; a （i，j） represents the axial vibration acceleration of the wind turbine of the jth wind turbine in the i-th time period; d （i，j） Indicates the radial vibration displacement amplitude of the wind turbine of the jth wind turbine in the i-th time period, Δd （i，j） It represents the vibration phase difference of the wind turbine of the jth wind turbine in the i-th time period.

[0061] Grid access data acquisition module: used to obtain the grid access data of the target wind farm in real time and transmit the grid access data to the grid access data processing module;

[0062] In this embodiment, it should be specifically explained that the equipment data includes parameters affecting grid load data and parameters affecting grid stability data.

[0063] In this embodiment, it is specifically necessary to explain that the parameters affecting the power grid load data include the grid connection point voltage amplitude, denoted as V; the load node active power, denoted as P1; the load node reactive power, denoted as Q1; the wind turbine active power, denoted as P2; the wind turbine reactive power, denoted as Q2; the grid stability data affecting parameters include the grid connection point voltage amplitude, denoted as V; the grid connection point voltage, denoted as U1, the grid side voltage phase angle, denoted as , the active power on the grid side is recorded as P3; the reactive power on the grid side is recorded as Q3; the active power of the wind turbine is recorded as P2; the reactive power of the wind turbine is recorded as Q2; the voltage of the wind turbine is recorded as U2; the grid frequency is recorded as F; the short-circuit capacity of the grid is recorded as s; the equivalent impedance of the grid is recorded as Z.

[0064] In this embodiment, it is specifically necessary to explain that the grid access data acquisition module realizes synchronous sampling by deploying electronic voltage transformers and current transformers at the wind farm grid connection point, and cooperating with synchronous phasor measurement units; configuring a three-phase power quality analyzer at the load node; configuring a power transmitter at the wind turbine outlet, uploading in real time via optical fiber communication, deploying a wide-band power sensor on the high-voltage side of the booster station to capture transient power fluctuation characteristics, and capturing and calculating the grid frequency at the grid connection point and regional hub substation; based on the PMU measured voltage and current data, the sequence component method is used to calculate the positive and negative sequence short-circuit capacity in real time, and the system impedance model is corrected in combination with the fault recording data; multi-node voltage stability margin monitoring is realized through the wide-area measurement system to obtain grid access data.

[0065] Grid access data processing module: used to analyze and process the grid access data collected by the grid access data acquisition module to obtain the grid load data impact coefficient value and the grid stability data impact coefficient value, and transmit them to the comprehensive analysis module;

[0066] In this embodiment, it should be specifically explained that the equipment data processing module includes a power grid load data influence coefficient calculation unit and a power grid stability data influence coefficient calculation unit.

[0067] In this embodiment, it is specifically necessary to explain that the grid load data influence coefficient calculation unit is used to import the grid load data influence parameters into the grid load data influence coefficient mathematical model to obtain the grid load data influence coefficient value; the grid stability data influence coefficient calculation unit is used to import the grid stability data influence parameters into the grid stability data influence coefficient mathematical model to obtain the grid stability data influence coefficient value.

[0068] In this embodiment, it should be specifically noted that the mathematical model of the grid load data influence coefficient is specifically:

[0069] ,

[0070] The mathematical model of the influence coefficient of power grid stability data is as follows:

[0071] ,

[0072] Where V i represents the voltage amplitude of the grid connection point in the i-th time period; Indicates the rated grid-connected point voltage amplitude; P1 i Indicates the active power of the load node in the i-th time period, Q1 i P2 represents the reactive power of the load node in the i-th time period; i represents the active power of the wind turbine in the i-th time period; Q2 iIndicates the reactive power of the wind turbine in the i-th time period; U1 i It represents the grid connection point voltage in the i-th time period, denoted as U1, Indicates the grid side voltage phase angle in the i-th time period, P3 i Indicates the active power on the grid side during the i-th time period; Q3 i Indicates the reactive power on the grid side during the i-th time period; U2 i represents the voltage of the wind turbine in the i-th time period; F i represents the grid frequency in the i-th time period; s i represents the short-circuit capacity of the power grid in the i-th time period; Z i represents the equivalent impedance of the power grid in the i-th time period.

[0073] Comprehensive data analysis module: used to import the motor blade data influence coefficient values, motor electromagnetic characteristic data influence coefficient values, motor status data influence coefficient values, grid load data influence coefficient values, and grid stability data influence coefficient values obtained by the motor operation data processing module and the grid access data processing module into the wind farm coordinated control mode rationality index mathematical model to obtain the wind farm coordinated control mode rationality index value, and transmit it to the control mode evaluation module;

[0074] In this embodiment, it should be specifically explained that the mathematical model of the rationality index of the wind farm coordinated control mode is specifically:

[0075] .

[0076] Control mode evaluation module: used to compare the wind farm coordinated control mode rationality index value obtained by the comprehensive data analysis module with the preset wind farm coordinated control mode rationality index value under the corresponding power, calculate the difference between the wind farm coordinated control mode rationality index value and the preset wind farm coordinated control mode rationality index value under the corresponding power, and when the difference is less than the preset difference, transmit the judgment result and the target wind farm data to the data interaction transmission module; when the difference is greater than the preset difference, transmit the judgment result and the target wind farm data to the wind farm coordinated control module;

[0077] The wind farm coordination control module is used to adjust the wind farm motor to the next standard power generation mode according to the judgment result and the target wind farm data, and then transmit the judgment result and the target wind farm data to the data interaction transmission module;

[0078] Data interaction and transmission module: used to transmit the difference value, judgment result and target wind farm data obtained by the control mode evaluation module to the user information terminal, providing reference data for users to make adjustment measures.

[0079] Secondly: The drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention. Other structures may refer to conventional designs. The same embodiment and different embodiments of the present invention may be combined with each other without conflict.

[0080] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A voltage stability coordination control system for a wind farm, characterized in that: include: Control area determination module: used to determine the target wind farm data as the target control area, and then divide it into sub-areas according to the equal time division method, and number each sub-area in the target control area in sequence as 1, 2, ..., i, ..., n according to the equal time; and number them in sequence as 1, 2, ..., j, ..., m according to the different wind farm motors; Motor operation data acquisition module: used to obtain the motor operation data of the target wind farm and transmit the motor operation data to the motor operation data processing module; Motor operation data processing module: used to analyze and process the motor operation data collected by the motor operation data acquisition module to obtain the motor blade data influence coefficient value, the motor electromagnetic characteristic data influence coefficient value and the motor state data influence coefficient value, and transmit them to the comprehensive analysis module; Grid access data acquisition module: used to obtain the grid access data of the target wind farm in real time and transmit the grid access data to the grid access data processing module; Grid access data processing module: used to analyze and process the grid access data collected by the grid access data acquisition module to obtain the grid load data impact coefficient value and the grid stability data impact coefficient value, and transmit them to the comprehensive analysis module; Comprehensive data analysis module: used to import the motor blade data influence coefficient values, motor electromagnetic characteristic data influence coefficient values, motor status data influence coefficient values, grid load data influence coefficient values, and grid stability data influence coefficient values obtained by the motor operation data processing module and the grid access data processing module into the wind farm coordinated control mode rationality index mathematical model to obtain the wind farm coordinated control mode rationality index value, and transmit it to the control mode evaluation module; Control mode evaluation module: used to compare the wind farm coordinated control mode rationality index value obtained by the comprehensive data analysis module with the preset wind farm coordinated control mode rationality index value under the corresponding power, calculate the difference between the wind farm coordinated control mode rationality index value and the preset wind farm coordinated control mode rationality index value under the corresponding power, and when the difference is less than the preset difference, transmit the judgment result and the target wind farm data to the data interaction transmission module; when the difference is greater than the preset difference, transmit the judgment result and the target wind farm data to the wind farm coordinated control module; The wind farm coordination control module is used to adjust the wind farm motor to the next standard power generation mode according to the judgment result and the target wind farm data, and then transmit the judgment result and the target wind farm data to the data interaction transmission module; Data interaction and transmission module: used to transmit the difference value, judgment result and target wind farm data obtained by the control mode evaluation module to the user information terminal, providing reference data for users to make adjustment measures.

2. A voltage stability coordination control system for a wind farm according to claim 1, characterized in that: The motor operation data includes motor blade data influencing parameters, motor electromagnetic characteristic data influencing parameters and motor state data influencing parameters; The parameters affecting the motor blade data include the blade pitch angle, denoted as θp, wind speed, denoted as v; wind turbine power, denoted as P; blade lift coefficient, denoted as Cl; wind turbine terminal voltage phase angle, denoted as θw; blade swept area, denoted as S; the parameters affecting the motor electromagnetic characteristics data include the wind turbine voltage, denoted as U; wind turbine discharge, denoted as D; wind turbine power, denoted as P; wind turbine current, denoted as I; wind turbine capacitance, denoted as R; wind turbine pulse frequency, denoted as f; motor status data include wind turbine bearing temperature, denoted as T, wind turbine cooling medium inlet and outlet temperature difference, denoted as ΔT; wind turbine axial vibration acceleration, denoted as a; wind turbine radial vibration displacement amplitude, denoted as d; wind turbine vibration phase difference, denoted as Δd; wind turbine power, denoted as P.

3. The voltage stability coordination control system for a wind farm according to claim 1, characterized in that: The motion data processing module includes a motor blade data influence coefficient calculation unit, a motor electromagnetic characteristic data influence coefficient calculation unit, and a motor state data influence coefficient calculation unit.

4. The voltage stability coordination control system for a wind farm according to claim 4, characterized in that: The motor blade data influence coefficient calculation unit is used to import the motor blade data influence parameters into the motor blade data influence coefficient mathematical model to obtain the motor blade data influence coefficient value; the motor electromagnetic characteristic data influence coefficient calculation unit is used to import the motor electromagnetic characteristic data influence parameters into the motor electromagnetic characteristic data influence coefficient mathematical model to obtain the motor electromagnetic characteristic data influence coefficient value; the motor state data influence coefficient calculation unit is used to import the motor state data influence parameters into the motor state data influence coefficient mathematical model to obtain the motor state data influence coefficient value.

5. A voltage stability coordination control system for a wind farm according to claim 4, characterized in that: The mathematical model of the motor blade data influence coefficient is specifically: ， The mathematical model of the influence coefficient of the motor electromagnetic characteristic data is as follows: ， The mathematical model of the motor status data influence coefficient is as follows: ， where θp （i，j） Indicates the blade pitch angle of the jth wind turbine in the i-th time period, v （i，j） represents the wind speed of the jth wind turbine in the i-th time period; P （i，j） P represents the wind turbine power of the jth wind turbine in the i-th time period; （i-1，j） represents the wind turbine power of the jth wind turbine in the i-1th time period; Cl （i，j） Indicates the lift coefficient of the blade of the j-th wind turbine in the i-th time period, θw （i，j） S represents the voltage phase angle of the wind turbine terminal of the jth wind turbine in the i-th time period; （i，j） represents the blade swept area of the jth wind turbine in the i-th time period; U （i，j） represents the wind turbine voltage of the jth wind turbine in the i-th time period; D （i，j） Indicates the discharge of the wind turbine of the jth wind turbine in the i-th time period; I （i，j） Indicates the wind turbine current of the jth wind turbine in the i-th time period; I （i-1，j） represents the wind turbine current of the jth wind turbine in the i-1th time period; R （i，j） represents the wind turbine capacitance of the jth wind turbine in the i-th time period; f （i，j） represents the wind turbine pulse frequency of the jth wind turbine in the i-th time period; f max Indicates the maximum allowable wind turbine pulse frequency; T （i，j） Indicates the bearing temperature of the wind turbine of the jth wind turbine in the i-th time period, Indicates the rated temperature of the wind turbine bearing, ΔT （i，j） represents the temperature difference between the inlet and outlet of the cooling medium of the wind turbine j in the i-th time period; a （i，j） represents the axial vibration acceleration of the wind turbine of the jth wind turbine in the i-th time period; d （i，j） Indicates the radial vibration displacement amplitude of the wind turbine of the jth wind turbine in the i-th time period, Δd （i，j） It represents the vibration phase difference of the wind turbine of the jth wind turbine in the i-th time period.

6. The voltage stability coordination control system for a wind farm according to claim 1, characterized in that: The equipment data includes parameters affecting grid load data and parameters affecting grid stability data; The parameters affecting the grid load data include the grid voltage amplitude, denoted as V; the active power of the load node, denoted as P1; the reactive power of the load node, denoted as Q1; the active power of the wind turbine, denoted as P2; the reactive power of the wind turbine, denoted as Q2; the parameters affecting the grid stability data include the grid voltage amplitude, denoted as V; the grid voltage, denoted as U1, the grid side voltage phase angle, denoted as , the active power on the grid side is recorded as P3; the reactive power on the grid side is recorded as Q3; the active power of the wind turbine is recorded as P2; the reactive power of the wind turbine is recorded as Q2; the voltage of the wind turbine is recorded as U2; the grid frequency is recorded as F; the short-circuit capacity of the grid is recorded as s; the equivalent impedance of the grid is recorded as Z.

7. The voltage stability coordination control system for a wind farm according to claim 1, characterized in that: The equipment data processing module includes a power grid load data influence coefficient calculation unit and a power grid stability data influence coefficient calculation unit.

8. The voltage stability coordination control system for a wind farm according to claim 7, characterized in that: The grid load data influence coefficient calculation unit is used to import the grid load data influence parameters into the grid load data influence coefficient mathematical model to obtain the grid load data influence coefficient value; the grid stability data influence coefficient calculation unit is used to import the grid stability data influence parameters into the grid stability data influence coefficient mathematical model to obtain the grid stability data influence coefficient value.

9. A voltage stability coordination control system for a wind farm according to claim 8, characterized in that: The mathematical model of the grid load data influence coefficient is specifically: ， The mathematical model of the influence coefficient of power grid stability data is as follows: ， Where V i represents the voltage amplitude of the grid connection point in the i-th time period; Indicates the rated grid-connected point voltage amplitude; P1 i Indicates the active power of the load node in the i-th time period, Q1 i P2 represents the reactive power of the load node in the i-th time period; i represents the active power of the wind turbine in the i-th time period; Q2 i represents the reactive power of the wind turbine in the i-th time period; U1 i It represents the grid connection point voltage in the i-th time period, denoted as U1, Indicates the grid side voltage phase angle in the i-th time period, P3 i Indicates the active power on the grid side during the i-th time period; Q3 i Indicates the reactive power on the grid side during the i-th time period; U2 i represents the voltage of the wind turbine in the i-th time period; F i represents the grid frequency in the i-th time period; s i represents the short-circuit capacity of the power grid in the i-th time period; Z i represents the equivalent impedance of the power grid in the i-th time period.

10. The voltage stability coordination control system for a wind farm according to claim 1, characterized in that: The mathematical model of the rationality index of the wind farm coordinated control mode is specifically: 。

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