Method and device for generating wind turbine reactive power response performance index

Abstract

The application provides a method and device for generating a wind turbine reactive power response performance index. The method comprises: obtaining operating parameters of each wind turbine in a wind turbine, wherein the wind turbine comprises a plurality of wind turbines; determining a preset wind turbine reactive power evaluation model corresponding to the operating parameters; generating a reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power evaluation model, to evaluate the reactive power response performance of each wind turbine; wherein the reactive power response performance index comprises at least one of the following: a reactive power response time index, a reactive power response capability index, and a reactive power support capability index. The method calculates the index of the reactive power dynamic response performance of the wind turbine by using the index model and the collected operating parameters, so as to subsequently quantitatively evaluate the reactive power dynamic response performance of different wind turbines, and improve the accuracy of the analysis of the influence of the wind turbine on the safe and stable operation of the power grid after a fault.

Description

Technical Field

[0001] The present application relates to the technical field of safe operation of power systems, and in particular to a method and device for generating reactive power response performance indicators of wind turbine generator sets. Background Art

[0002] In related technologies, the impact of wind turbines on the stable operation of the power grid after a fault is evaluated by the dynamic reactive response time and duration of the wind farm. However, the reactive dynamic response performance of the wind turbine is not specified, and it is impossible to evaluate the reactive dynamic response performance of different wind turbines. Summary of the Invention

[0003] In view of this, the present application provides a method and device for generating a reactive power response performance index of a wind turbine generator set, which realizes calculating the reactive dynamic response performance index of the wind turbine generator set by using the collected operating parameters and the index model.

[0004] According to one aspect of the present application, a method for generating a reactive power response performance index of a wind turbine generator system is provided, comprising:

[0005] Obtaining operating parameters of each wind turbine in a wind turbine generator set, wherein the wind turbine generator set includes multiple wind turbines;

[0006] Determine the corresponding preset wind turbine reactive power evaluation model according to the operating parameters;

[0007] Generate reactive power response performance indicators for each wind turbine based on operating parameters and a preset wind turbine reactive power evaluation model to evaluate the reactive power response performance of each wind turbine;

[0008] Among them, the reactive power response performance index includes at least one of the following: a reactive power response time index, a reactive power response capability index and a reactive power support capability index.

[0009] Optionally, the step of determining a corresponding preset wind turbine reactive power evaluation model according to the operating parameters specifically includes:

[0010] If the operating parameters are the reactive power response time and voltage drop start time of each wind turbine;

[0011] According to the reactive power response time and the voltage drop start time, the preset wind turbine reactive power evaluation model is determined to be the preset wind turbine reactive power response time evaluation model.

[0012] Optionally, the step of generating a reactive power response performance index of each wind turbine according to the operating parameters and a preset wind turbine reactive power evaluation model specifically includes:

[0013] According to the reactive power response time and the voltage drop start time, the reactive power response time index of each wind turbine is calculated using the preset wind turbine reactive power response time evaluation model: t re =t Q0 -t U0

[0014] Among them, t re is the reactive power response time; t Q0 is the reactive power response time; t U0 is the starting time of voltage drop.

[0015] Optionally, the step of determining a corresponding preset wind turbine reactive power evaluation model according to the operating parameters specifically includes:

[0016] If the operating parameters are the reactive power peak value, voltage drop starting peak value, reactive power response time and reactive power peak time of each wind turbine;

[0017] According to the reactive power peak and the voltage drop starting peak, the response peak of each wind turbine is determined to be max(ΔQ)=Q max -Q0;

[0018] Among them, Q max is the reactive power peak; Q0 is the voltage drop starting peak;

[0019] According to the reactive power response time and reactive power peak time, the peak time of each wind turbine is determined as t p =t Q1 -t Q0 ;

[0020] Among them, t Q1 is the reactive power response time; t Q0 is the reactive power peak moment;

[0021] According to the response peak value and the peak time, the preset wind turbine reactive power evaluation model is determined to be the preset wind turbine reactive power response capability evaluation model.

[0022] Optionally, the step of generating a reactive power response performance index of each wind turbine according to the operating parameters and a preset wind turbine reactive power evaluation model specifically includes:

[0023] According to the response peak value and peak time, the reactive power response capability index of each wind turbine is calculated using the preset wind turbine reactive power response capability evaluation model:

[0024]

[0025] Where, max(ΔQ) is the peak value of the response; t p The peak time.

[0026] Optionally, the step of determining a corresponding preset wind turbine reactive power evaluation model according to the operating parameters specifically includes:

[0027] If the operating parameters are the reactive power peak moment, the reactive power restoration stable moment, the voltage drop start moment, the first reactive power value at the voltage drop start moment, and the first bus voltage value at the voltage drop start moment of each wind turbine;

[0028] According to the reactive power peak moment, the reactive power recovery stable moment, the voltage drop start moment, the first reactive value at the voltage drop start moment and the first bus voltage value at the voltage drop start moment, the preset wind turbine reactive power evaluation model is determined to be the preset support capacity evaluation model.

[0029] Optionally, the step of generating a reactive power response performance index of each wind turbine according to the operating parameters and a preset wind turbine reactive power evaluation model specifically includes:

[0030] Obtaining a second reactive power value of the wind turbine generator set at a preset time during a reactive power recovery process;

[0031] determining a reactive value difference according to the second reactive value and the first reactive value;

[0032] Obtaining the second bus voltage value and the second bus voltage value moment at a preset time during the reactive power recovery process of the wind turbine generator set;

[0033] Determining a voltage difference based on the second bus voltage value and the first bus voltage value;

[0034] Based on the reactive power peak moment, reactive power recovery and stabilization moment, voltage drop start moment, second bus voltage value moment, reactive power value difference and voltage value difference, the preset support capacity evaluation model is used to calculate the reactive power support capacity index of each wind turbine:

[0035]

[0036] Among them, t Q1 is the reactive power peak moment; t Q2 is the moment when reactive power returns to a stable state; ΔQ is the reactive power difference; t U1 is the starting time of voltage drop; t U2 is the voltage value of the second bus at that moment; ΔU is the voltage difference.

[0037] According to another aspect of the present application, a device for generating a reactive power response performance index of a wind turbine generator system is provided, comprising:

[0038] An acquisition module, configured to acquire operating parameters of each wind turbine in a wind turbine group, wherein the wind turbine group includes a plurality of wind turbines;

[0039] A determination module, configured to determine a corresponding preset wind turbine reactive power evaluation model according to operating parameters;

[0040] A generation module is used to generate a reactive power response performance index of each wind turbine based on operating parameters and a preset wind turbine reactive power evaluation model to evaluate the reactive power response performance of each wind turbine;

[0041] Among them, the reactive power response performance index includes at least one of the following: a reactive power response time index, a reactive power response capability index and a reactive power support capability index.

[0042] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the method for generating the reactive power response performance index of the wind turbine generator system is implemented.

[0043] According to another aspect of the present application, an electronic device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the method for generating the reactive power response performance index of the wind turbine generator set is implemented.

[0044] This technical solution uses the collected operating parameters and an index model to calculate indicators of the wind turbine's reactive power dynamic response performance, characterizing the initial, intermediate, and final stages of the wind turbine's reactive power response. This allows for subsequent quantitative evaluation of the reactive power dynamic response performance of different wind turbines, effectively improving the accuracy of analysis of the impact of wind turbine faults on the safe and stable operation of the power grid.

[0045] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0047] Figure 1 A schematic flow chart of a method for generating a reactive power response performance index of a wind turbine generator system provided in an embodiment of the present application is shown;

[0048] Figure 2 A graph showing the relationship between the sum of the reactive power of all wind turbines in an actual wind farm 1 and time is shown in a specific embodiment of the present application;

[0049] Figure 3 A curve diagram showing the relationship between wind turbine voltage and reactive power in an actual wind farm 1 provided in a specific embodiment of the present application is shown;

[0050] Figure 4 A schematic diagram of a single-machine infinite system for a wind farm provided in a specific embodiment of the present application is shown;

[0051] Figure 5 The graphs showing the relationship between bus voltage and time at the wind farm grid connection point under two fault modes provided in the specific embodiments of the present application are shown;

[0052] Figure 6 A schematic diagram showing a comparison of reactive power of three wind turbines under the first fault mode provided in a specific embodiment of the present application is shown;

[0053] Figure 7 A schematic diagram showing a comparison of terminal voltages of three wind turbines under the first fault mode provided in a specific embodiment of the present application is shown;

[0054] Figure 8 A schematic diagram showing a comparison of reactive power of three wind turbines under the second fault mode provided in a specific embodiment of the present application is shown;

[0055] Figure 9 A schematic diagram showing a comparison of terminal voltages of three wind turbines under the second fault mode provided in a specific embodiment of the present application is shown;

[0056] Figure 10 A curve diagram showing the relationship between wind turbine voltage and reactive power in an actual wind farm 2 provided in a specific embodiment of the present application is shown;

[0057] Figure 11 A curve diagram showing the relationship between wind turbine voltage and reactive power in an actual wind farm 2 provided in a specific embodiment of the present application is shown;

[0058] Figure 12 A structural block diagram of a device for generating a reactive power response performance index of a wind turbine generator set provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0059] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0060] In this embodiment, a method for generating a wind turbine reactive power response performance index is provided, such as Figure 1 As shown, the method includes:

[0061] Step 101, obtaining the operating parameters of each wind turbine in the wind turbine generator system;

[0062] Step 102: determining a corresponding preset wind turbine reactive power index model according to the operating parameters;

[0063] Step 103 : generating a reactive power response performance index of each wind turbine according to the operating parameters and a preset wind turbine reactive power index model, so as to evaluate the reactive power response performance of each wind turbine.

[0064] In this embodiment, after a power grid fault occurs, voltage drop is the primary factor affecting wind turbines. Wind turbines, affected by voltage fluctuations, in turn impact grid stability through changes in both active and reactive power. Operating parameters such as the wind turbine's reactive power signal's change rate, amplitude, and total reactive power directly reflect the wind turbine's reactive power dynamic response characteristics and can be used as important parameters for evaluating the wind turbine's reactive power dynamic response characteristics. Specifically, after a power grid fault occurs, operating parameters of each wind turbine in a wind turbine group are collected. It should be noted that a wind turbine group includes multiple wind turbines. Based on the collected operating parameters of each wind turbine, pre-established wind turbine reactive power index models corresponding to different operating parameters are determined. Furthermore, based on the operating parameters of each wind turbine and the pre-established wind turbine reactive power index model, wind turbine reactive power response performance indicators are calculated. These response performance indicators include a wind turbine reactive power response time indicator, a wind turbine reactive power response capability indicator, and a wind turbine reactive power support capability indicator.

[0065] Furthermore, the reactive power of the wind farm grid connection point includes the reactive power generated by the wind turbine itself and the reactive power of the reactive compensation device, wherein the reactive compensation device includes switching capacitors, SVC (Switching Virtual Circuit, static VAR compensator) and SVG (Static Var Generator, static VAR generator). If the reactive power loss of the main transformer is ignored, the model Q wind =Q g -Q c -Q SVC -Q SVG , to calculate the sum of the reactive power generated by all wind turbines in the wind farm, where Q wind The sum of the reactive power generated by all wind turbines in the wind farm; Q g is the reactive power of the wind farm grid connection point; Q c is the reactive power generated by the capacitor; Q SVC is the reactive power generated by SVC; Q SVG is the reactive power generated by SVG. The calculated sum of the reactive power generated by all wind turbines can also be used as an important parameter to evaluate the reactive dynamic response characteristics of wind turbines. Figure 2The figure shows the relationship between the sum of the reactive power of all wind turbines in an actual wind farm and time. The actual wind farm reactive configuration is 10MVar capacitors and ±18MVar SVG. During the period of collecting operating parameters, the capacitors and SVG are always in the input state, and SVG is not in the input state. The above model can be used to calculate the reactive power of the wind turbines in the actual wind farm.

[0066] The method for generating wind turbine reactive power response performance indicators provided in this embodiment uses collected operating parameters and an indicator model to calculate indicators of the wind turbine's reactive dynamic response performance, characterizing the initial, intermediate, and final stages of the wind turbine's reactive power response. This facilitates subsequent quantitative evaluation of the reactive dynamic response performance of different wind turbines, effectively improving the accuracy of analysis of the impact of wind turbine faults on the safe and stable operation of the power grid.

[0067] In an embodiment of the present application, further, the step of determining the corresponding preset wind turbine reactive power index model based on the operating parameters specifically includes: if the operating parameters are the reactive power response time and the voltage drop starting time of each wind turbine; based on the reactive power response time and the voltage drop starting time, determining that the preset wind turbine reactive power index model is the preset wind turbine reactive power response time index model.

[0068] In this technical solution, when the collected operating parameters are the wind turbine reactive power response time and the voltage drop starting time, the preset wind turbine reactive power index model is determined to be a pre-established wind turbine reactive power response time index model based on the wind turbine reactive power response time and the voltage drop starting time, so that the model can be used to calculate the wind turbine reactive power response time index subsequently.

[0069] In the embodiment of the present application, further, according to the operating parameters and the preset wind turbine reactive power index model, the step of generating the reactive power response performance index of each wind turbine specifically includes: according to the reactive power response time and the voltage drop start time, using the preset wind turbine reactive power response time index model, calculating the reactive power response time index of each wind turbine as: t re =t Q0 -t U0 ; where t re is the reactive power response time; t Q0 is the reactive power response time; t U0 is the starting time of voltage drop.

[0070] In this technical solution, after a power grid failure causes a voltage drop, the collected wind turbine reactive power response time and the voltage drop start time are imported into the wind turbine reactive power response time index model t re =t Q0 -t U0Using this index model, the wind turbine reactive power response time is obtained, and then the wind turbine reactive power response time index is used to measure the reactive dynamic response performance of the wind turbine at the beginning of the voltage drop.

[0071] In the embodiment of the present application, further, according to the operating parameters, the step of determining the corresponding preset wind turbine reactive power index model specifically includes: if the operating parameters are the reactive power peak value, voltage drop starting peak value, reactive power response time and reactive power peak time of each wind turbine; according to the reactive power peak value and the voltage drop starting peak value, determining the response peak value of each wind turbine as max(ΔQ)=Q max -Q0; where Q max is the reactive power peak; Q0 is the voltage drop starting peak; according to the reactive power response time and the reactive power peak time, the peak time of each wind turbine is determined as t p =t Q1 -t Q0 ; where t Q1 is the reactive power peak moment; t Q0 is the reactive power response moment; according to the response peak value and the peak time, the preset wind turbine reactive power index model is determined to be the preset wind turbine reactive power response capability index model.

[0072] In this technical solution, the wind turbine reactive power response capability includes a response peak value and peak time. When the collected wind turbine operating parameters are the reactive power peak value, the voltage sag start peak value, the reactive power response time, and the reactive power peak time, the wind turbine reactive power response peak value is subtracted from the voltage sag start peak value. Conversely, the wind turbine reactive power peak time is subtracted from the wind turbine reactive power peak time to obtain the wind turbine reactive power peak time. Furthermore, based on the calculated response peak value and peak time, the pre-established indicator model to be applied is determined to be the preset wind turbine reactive power response capability indicator model, so that this model can be used to subsequently calculate the wind turbine reactive power response capability evaluation index.

[0073] In the embodiment of the present application, further, the step of generating the reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model specifically includes: according to the response peak value and the peak time, using the preset wind turbine reactive power response capability index model, calculating the reactive power response capability index of each wind turbine as follows: Where, max(ΔQ) is the peak value of the response; t p The peak time.

[0074] In this technical solution, after a power grid failure occurs, the calculated response peak value and peak time are imported into the pre-established wind turbine reactive power response capability index model. Using this index model, the wind turbine reactive power response capability is obtained, so that the wind turbine reactive power response capability index can be used to measure the reactive dynamic response performance of the wind turbine in the middle stage of voltage sag.

[0075] It can be understood that the response capability is the ratio of the response peak to the peak time. The larger the response peak and the shorter the peak time, the better the wind turbine's reactive dynamic capability.

[0076] In an embodiment of the present application, further, according to the operating parameters, the step of determining the corresponding preset wind turbine reactive power index model specifically includes: if the operating parameters are the reactive power peak moment, the reactive power recovery stable moment, the voltage drop start moment, the first reactive value at the voltage drop start moment and the first bus voltage value at the voltage drop start moment of each wind turbine; according to the reactive power peak moment, the reactive power recovery stable moment, the voltage drop start moment, the first reactive value at the voltage drop start moment and the first bus voltage value at the voltage drop start moment, determine that the preset wind turbine reactive power index model is the preset support capacity index model.

[0077] In this technical solution, after a power grid failure occurs, when the collected wind turbine operating parameters are the peak moment of wind turbine reactive power, the moment when reactive power returns to stability, the starting moment of voltage drop, the reactive value at the starting moment of voltage drop, that is, the first reactive value, and the 690V bus voltage value at the starting moment of voltage drop, that is, the first bus voltage value, the preset wind turbine reactive power index model is determined to be the wind turbine reactive power support capacity index model based on the above operating parameters, so that the model can be used subsequently to calculate the wind turbine reactive power support capacity evaluation index.

[0078] In an embodiment of the present application, further, according to the operating parameters and the preset wind turbine reactive power index model, the step of generating the reactive power response performance index of each wind turbine specifically includes: obtaining a second reactive value of the wind turbine at any time during the reactive power recovery process; determining a reactive value difference according to the second reactive value and the first reactive value; obtaining a second bus voltage value and a second bus voltage value moment at any time during the reactive power recovery process of the wind turbine; determining a voltage value difference according to the second bus voltage value and the first bus voltage value; and calculating the reactive power support capability index of each wind turbine using the preset support capability index model according to the reactive power peak moment, the reactive power recovery stable moment, the voltage drop start moment, the second bus voltage value moment, the reactive value difference and the voltage value difference: Among them, t Q1 is the reactive power peak moment; t Q2 is the moment when reactive power returns to a stable state; ΔQ is the reactive power difference; t U1 is the starting time of voltage drop; t U2is the voltage value of the second bus at that moment; ΔU is the voltage difference.

[0079] In this technical solution, after a power grid fault causes a voltage drop, the wind turbine's reactive power compensation device generates reactive power for dynamic reactive power compensation. During the period from the voltage drop to the return of reactive power to stability, the reactive power value generated by the wind turbine at a preset time within this time period, i.e., the second reactive power value, and the 690V bus voltage value at a preset time within this time period, i.e., the second bus voltage value, are collected. Subsequently, the reactive power value difference is obtained by combining the reactive power value generated by the wind turbine at the preset time with the reactive power value at the start of the voltage drop. Simultaneously, the voltage value difference is obtained by combining the 690V bus voltage value at the start of the wind turbine voltage drop with the 690V bus voltage value at the preset time. The reactive power value difference and the voltage value difference are imported into a pre-established wind turbine reactive power support capability index model to obtain a wind turbine reactive power support capability index. This index can be used to measure the reactive power dynamic response performance of the wind turbine during the period from the reactive power peak to the return of reactive power to stability.

[0080] It should be noted that, during the process from voltage drop to reactive power restoration to stability, a preset time can be set according to the wind turbine device.

[0081] It can be understood that the larger the wind turbine reactive power support capability index value is, the greater the wind turbine reactive power is during that period and the smaller the voltage value is.

[0082] In actual application scenarios, such as Figure 4 As shown in the figure, a single-machine infinite power system is constructed, in which the wind turbine output voltage of 690V is converted to 36.5kV through transmission circuits S1 and Y1 through a transformer. The voltage is then converted to 110kV through the transmission circuit and a transformer, and then transmitted to generator 2 via busbars 1 and 2. Furthermore, by setting the short-circuit impedance at the short-circuit point and adjusting the voltage at the wind turbine reactive power control node, different voltage fluctuation curves are obtained, and the wind turbine voltage-reactive power characteristics are derived. The impact of the wind turbine fault on the safe and stable operation of the power grid is analyzed.

[0083] Specifically, two examples are constructed to calculate and verify the wind turbine regulation capability indicators, and the reactive dynamic response of three doubly fed wind turbines with different parameters under two types of wind farm faults is simulated using power system analysis software. Figure 5 As shown, there are curves of the bus voltage conditions at the wind turbine generator set outlet under two states, wherein the “solid triangle line” represents the bus voltage condition at the wind turbine generator set outlet under the first fault form; and the “dashed square line” represents the bus voltage condition at the wind turbine generator set outlet under the second fault form.

[0084] Furthermore, a three-phase short circuit fault is set at the outlet of the wind turbine, such as Figure 6The figure below shows the reactive power response curve of the three wind turbines after they suffered the first serious fault. Doubly-fed wind turbines have the ability to generate reactive power when the voltage drops. Figure 6 The "triangle curve" is the reactive power response of wind turbine No. 1; the "square curve" is the reactive power response of wind turbine No. 2; and the "circular curve" is the reactive power response of wind turbine No. 3. Figure 6 It can be clearly seen that wind turbine No. 1 generates the most reactive power and lasts the longest; wind turbine No. 2 generates less reactive power but lasts the longest; wind turbine No. 3 generates the least reactive power and lasts the shortest. Figure 7 The figure shows the 690V bus voltage curve of the wind turbines with different reactive powers after the first serious fault. The "triangle curve" is the 690V bus voltage of wind turbine No. 1; the "square curve" is the 690V bus voltage of wind turbine No. 2; and the "circular curve" is the 690V bus voltage of wind turbine No. 3. Figure 7 It can be clearly seen that due to the different reactive power output of the wind turbines, the recovery of the 690V bus voltage of the wind turbines is different. Among them, the 690V bus voltage drop depth of wind turbine No. 1 is 0.53pu, and the voltage recovers quickly, reaching stability at 1.02pu; the 690V bus voltage drop depth of wind turbine No. 2 is 0.42pu, and the voltage recovers quickly, reaching stability at 1.02pu; the 690V bus voltage drop depth of wind turbine No. 3 is 0.41pu, and the voltage recovers slowly, reaching 0.96pu and then slowly decreasing, and dropping to 0.94pu in 10s.

[0085] Further, if Figure 8 The figure shows the dynamic response curve of the reactive power of the three wind turbines after they suffered the second serious fault. The "triangle curve" represents wind turbine No. 1; the "square curve" represents wind turbine No. 2; and the "circular curve" represents wind turbine No. 3. Figure 8 It can be clearly seen that wind turbine No. 1 generates the most reactive power and lasts the longest; wind turbine No. 2 generates less reactive power but lasts the longest; wind turbine No. 3 generates the least reactive power and lasts the shortest. Figure 9 The figure shows the 690V bus voltage curve of the wind turbines after the three wind turbines suffered the second serious fault. The "triangle curve" represents wind turbine No. 1; the "square curve" represents wind turbine No. 2; and the "circular curve" represents wind turbine No. 3. Figure 8It can be clearly seen that the recovery of the 690V bus voltage of the wind turbines is different due to the different reactive power output of the wind turbines. Among them, the 690V bus voltage drop depth of wind turbine No. 1 is 0.86pu, and after a brief oscillation, it recovers to a stable value of 0.997pu in 3s; the 690V bus voltage drop depth of wind turbine No. 2 is 0.598pu, and after a brief oscillation, it recovers to a stable value of 0.997pu in 3s; the 690V bus voltage drop depth of wind turbine No. 3 is 0.593pu, and then the voltage rises, reaches 0.96pu, and then slowly decreases, dropping to 0.95pu in 10s.

[0086] Furthermore, the indicator model is used to analyze the wind turbine reactive power support capability index. Calculations are performed. Table 1 shows the support capacity index and transient voltage stability limit for each wind turbine. As shown in Table 1, the support capacity index value is positively correlated with the transient voltage stability limit of the wind farm. Furthermore, the index value for wind turbine No. 1 is the largest, the index value for wind turbine No. 2 is smaller, and the index value for wind turbine No. 3 is the smallest. Therefore, this index value accurately reflects the dynamic reactive power support capacity of the wind turbine.

[0087] Fan name The first type of failure The second fault mode Transient voltage stability limit (MW) Fan No. 1 3.281 14.698 1.75 Fan No. 2 1.942 1.564 1.47 Fan No. 3 1.124 1.346 1.4

[0088] Table 1

[0089] Furthermore, in order to verify the regulation capability index, the measured data of three normally operating wind turbines are selected. Among them, the wind turbine No. 1 in the actual wind farm uses the same data as above, such as Figure 3 The figure shows the relationship between wind turbine voltage and reactive power in actual wind farm 1, where the solid line is the wind turbine voltage and the dashed line is the reactive power. The actual installed capacity of wind farm 2 is 49.5MW, and the reactive power configuration is 10MVar capacitors and ±13MVar SVG. During the period of collecting operating parameters, the capacitors and SVG were always in operation. According to Q wind =Q g -Q c -Q SVC -Q SVG , calculate the reactive power of wind turbines in actual wind farm 2, such as Figure 10 As shown in the figure, the relationship curve between the voltage and reactive power of the wind turbine in the actual wind farm 2 is shown, where the “solid line” is the wind turbine voltage; the “dashed line” is the reactive power. The selected time period is from 22:33:18 on October 19, 2019 to 22:33:26 on October 19, 2019. The installed capacity of the actual wind farm 3 is 48MW, and the reactive configuration is a 2MVar capacitor. During the period of collecting operating parameters, the capacitor is always in operation. According to Q wind =Q g -Q c -Q SVC -QSVG , calculate the reactive power of 3 wind turbines in the actual wind farm, such as Figure 11 As shown in the figure, it is a curve diagram of the relationship between the voltage and reactive power of the wind turbine in the actual wind farm 3, where the "solid line" is the wind turbine voltage and the "dashed line" is the reactive power. The selected time period is from 22:12:21 on December 3, 2019 to 22:12:29 on October 19, 2019, and the data interval is 40ms.

[0090] Specifically, the actual measured voltage and reactive power data for wind turbines 1 through 3 at wind farms 1 through 3 were imported into the index model to calculate the wind turbine reactive power support capacity index. Table 2 shows the calculated index values ​​for wind turbines 1 through 3. The calculation results show that wind turbine 2 has the highest index value, followed by wind turbine 1, and wind turbine 3 has the lowest index value. Wind turbines 2 and 3 have smaller voltage dips, while wind turbine 2 generates more reactive power than wind turbine 3, and this duration lasts longer. Therefore, wind turbine 2 has a higher support capacity index value. Wind turbine 1 has the greatest voltage dip, and the duration of its reactive power generation is the same as that of wind turbine 2. Therefore, wind turbine 2 has a higher index value than wind turbine 1. This demonstrates that the index accurately reflects the wind turbine's reactive power support capacity, with larger values ​​indicating stronger support capacity.

[0091] Fan name Voltage drop depth Duration of reactive power output by wind turbine (ms) Support capability index value Fan No. 1 15％ 800 0.626 Fan No. 2 73％ 800 0.969 Fan No. 3 84％ 400 0.167

[0092] Table 2

[0093] Furthermore, as a specific implementation of the above-mentioned method for generating a wind turbine reactive power response performance index, the embodiment of the present application provides a device 1200 for generating a wind turbine reactive power response performance index, such as Figure 12 As shown, the wind turbine generator reactive power response performance index generating device 1200 includes:

[0094] An acquisition module 1201 is configured to acquire operating parameters of each wind turbine in a wind turbine group, wherein the wind turbine group includes multiple wind turbines;

[0095] Determination module 1202, for determining the corresponding preset wind turbine reactive power evaluation model according to the operating parameters;

[0096] A generating module 1203 is configured to generate a reactive power response performance index for each wind turbine based on operating parameters and a preset wind turbine reactive power evaluation model, so as to evaluate the reactive power response performance of each wind turbine;

[0097] Among them, the reactive power response performance index includes at least one of the following: a reactive power response time index, a reactive power response capability index and a reactive power support capability index.

[0098] It should be noted that for other corresponding descriptions of the functional modules involved in the device for generating reactive power response performance index of a wind turbine provided in the embodiment of the present application, reference can be made to Figure 1 The corresponding description will not be repeated here.

[0099] Based on the above Figure 1 The method shown in FIG. 1 is a method for performing the above-mentioned operation. Accordingly, the embodiment of the present application further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned operation is performed. Figure 1 The method for generating the reactive power response performance index of the wind turbine is shown.

[0100] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product or a hardware product or a combination of software and hardware. The software product can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0101] Based on the above Figure 1 The method shown, and Figure 12 In order to achieve the above-mentioned purpose, the embodiment of the present application further provides an electronic device, which can be a personal computer, a server, a network device, etc. The electronic device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 The method for generating the reactive power response performance index of the wind turbine is shown.

[0102] Optionally, the electronic device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a Wi-Fi module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a Bluetooth interface, a Wi-Fi interface), etc.

[0103] Those skilled in the art will understand that the electronic device structure provided in this embodiment does not limit the electronic device, and may include more or fewer components, or combine certain components, or arrange the components differently.

[0104] The storage medium may also include an operating system and a network communication module. An operating system is a program that manages and stores the hardware and software resources of an electronic device, supporting the execution of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various controls within the storage medium, as well as with other hardware and software within the physical device.

[0105] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or by hardware.

[0106] Those skilled in the art will understand that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the units or processes in the accompanying drawings are not necessarily required to implement the present application. Those skilled in the art will understand that the units in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in multiple devices different from the implementation scenario. The units of the above-mentioned implementation scenario can be combined into one unit, or can be further split into multiple sub-units.

[0107] The serial numbers of the above application are for descriptive purposes only and do not represent the advantages or disadvantages of the implementation scenarios. The above disclosure only discloses several specific implementation scenarios of the present application, but the present application is not limited thereto. Any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present application.

Claims

1. A method for generating a wind turbine generator system reactive dynamic response performance index, characterized in that: The method comprises: Obtaining operating parameters of each wind turbine in a wind turbine group, wherein the wind turbine group includes a plurality of wind turbines; Determining a preset wind turbine reactive power index model corresponding to the operating parameters; generating a reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model to evaluate the reactive power response performance of each wind turbine; Wherein, the reactive power response performance index includes at least one of the following: reactive power response time index, reactive power response capability index and reactive power support capability index; the indicators of reactive dynamic response performance of wind turbines respectively characterize the starting stage, middle stage and end stage of reactive power response of wind turbines, and the reactive power response time index of wind turbines is used to measure the reactive dynamic response performance of wind turbines at the starting moment of voltage drop, the reactive power response capability index of wind turbines is used to measure the reactive dynamic response performance of wind turbines in the middle stage of voltage drop, and the reactive power support capability index of wind turbines is used to measure the reactive dynamic response performance of wind turbines during the period from reactive power peak moment to reactive power restoration to stability; The step of determining the corresponding preset wind turbine reactive power index model according to the operating parameters specifically includes: If the operating parameters are the reactive power peak value, voltage drop starting peak value, reactive power response time and reactive power peak time of each wind turbine; According to the reactive power peak and the voltage drop starting peak, the response peak of each wind turbine is determined to be max(ΔQ)=Q max -Q0; Among them, Q max is the reactive power peak value; Q0 is the voltage drop starting peak value; According to the reactive power response time and the reactive power peak time, the peak time of each wind turbine is determined as t p =t Q1 -t Q0 ; Among them, t Q1 is the reactive power peak moment; t Q0 is the reactive power response time; According to the response peak value and the peak time, the preset wind turbine reactive power index model is determined to be a preset wind turbine reactive power response capability index model.

2. The method according to claim 1, characterized in that The step of determining the corresponding preset wind turbine reactive power index model according to the operating parameters specifically includes: If the operating parameters are the reactive power response time and voltage drop start time of each wind turbine; According to the reactive power response time and the voltage drop start time, the preset wind turbine reactive power index model is determined to be a preset wind turbine reactive power response time index model.

3. The method according to claim 2, characterized in that The step of generating the reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model specifically includes: According to the reactive power response time and the voltage drop start time, the reactive power response time index of each wind turbine is calculated using the preset wind turbine reactive power response time index model as follows: re =t Q0 -t U0 ; Among them, t Q0 is the reactive power response time; t U0 is the starting time of voltage drop.

4. The method according to claim 1, wherein The step of generating the reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model specifically includes: According to the response peak value and the peak time, the reactive power response capability index of each wind turbine is calculated using the preset wind turbine reactive power response capability index model as follows: Wherein, max(ΔQ) is the peak value of the response; t p is the peak time.

5. The method according to claim 1, wherein The step of determining the corresponding preset wind turbine reactive power index model according to the operating parameters specifically includes: If the operating parameters are the reactive power peak moment, the reactive power recovery stable moment, the voltage drop start moment, the first reactive power value at the voltage drop start moment, and the first bus voltage value at the voltage drop start moment of each wind turbine; According to the reactive power peak moment, the moment when the reactive power returns to stability, the voltage drop start moment, the first reactive value at the voltage drop start moment, and the first bus voltage value at the voltage drop start moment, the preset wind turbine reactive power index model is determined to be the preset support capacity index model.

6. The method according to claim 5, characterized in that The step of generating the reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model specifically includes: Acquiring a second reactive power value of the wind turbine generator set at a preset time during a reactive power recovery process; determining a reactive value difference according to the second reactive value and the first reactive value; Acquire a second bus voltage value of the wind turbine generator set at the preset moment during the reactive power recovery process and the second bus voltage value moment; determining a voltage difference according to the second bus voltage value and the first bus voltage value; According to the reactive power peak moment, the reactive power restoration stable moment, the voltage drop start moment, the second bus voltage value moment, the reactive value difference and the voltage value difference, the preset support capacity index model is used to calculate the reactive power support capacity index of each wind turbine as follows: Among them, t Q1 is the reactive power peak moment; t Q2 is the moment when reactive power recovers to a stable state; ΔQ is the reactive power value difference; t U1 is the starting time of the voltage drop; t U2 is the second bus voltage value at that moment; ΔU is the voltage value difference.

7. A device for generating a reactive power response performance index of a wind turbine generator set, characterized in that: The device comprises: an acquisition module, configured to acquire operating parameters of each wind turbine in a wind turbine group, wherein the wind turbine group includes a plurality of wind turbines; A determination module, configured to determine a corresponding preset wind turbine reactive power index model according to the operating parameters; a generating module, configured to generate a reactive power response performance index of each wind turbine according to the operating parameters and the preset wind turbine reactive power index model, so as to evaluate the reactive power response performance of each wind turbine; Wherein, the reactive power response performance index includes at least one of the following: reactive power response time index, reactive power response capability index and reactive power support capability index; the indicators of reactive dynamic response performance of wind turbines respectively characterize the starting stage, middle stage and end stage of reactive power response of wind turbines, and the reactive power response time index of wind turbines is used to measure the reactive dynamic response performance of wind turbines at the starting moment of voltage drop, the reactive power response capability index of wind turbines is used to measure the reactive dynamic response performance of wind turbines in the middle stage of voltage drop, and the reactive power support capability index of wind turbines is used to measure the reactive dynamic response performance of wind turbines during the period from reactive power peak moment to reactive power restoration to stability; Identify the module, specifically for: If the operating parameters are the reactive power peak value, voltage drop starting peak value, reactive power response time and reactive power peak time of each wind turbine; According to the reactive power peak and the voltage drop starting peak, the response peak of each wind turbine is determined to be max(ΔQ)=Q max -Q0; Among them, Q max is the reactive power peak value; Q0 is the voltage drop starting peak value; According to the reactive power response time and the reactive power peak time, the peak time of each wind turbine is determined as t p =t Q1 -t Q0 ; Among them, t Q1 is the reactive power peak moment; t Q0 is the reactive power response time; According to the response peak value and the peak time, the preset wind turbine reactive power index model is determined to be a preset wind turbine reactive power response capability index model.

8. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

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