Wind turbine control parameter optimization method and device

Abstract

The application provides a wind turbine control parameter optimization method and device, and the method comprises the following steps: determining the boundary operation condition of a wind power collection system, a system fault set for testing transient stability, and an adjustable boundary range of main control parameters; performing fault scanning; if the fault scanning result shows transient instability, adjusting the main control parameters and continuing the fault scanning; if the fault scanning result does not show transient instability, judging whether the wind power active power in power flow reaches the boundary operation value; if yes, outputting the main control parameter optimization result and the maximum transmission capacity of the channel; if not, continuing to judge whether the main control parameters of the wind turbine reach the adjustable boundary value; if yes, outputting the main control parameter optimization result and the maximum transmission capacity of the channel; if not, increasing the wind power output and re-executing the fault scanning. The application can continuously adjust the main control parameters of the wind turbine to suppress instability, and can also ensure that the wind power system has the maximum channel output capacity.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, and in particular to a method and apparatus for optimizing control parameters of wind turbine generators. Background Technology

[0002] Existing research and practical system operation experience show that as wind power penetration continues to increase, the control performance of wind turbines has an increasingly significant impact on the stability characteristics of the power grid and the transmission capacity of transmission channels. Compared with traditional thermal power units, wind turbine controllers are composed of purely power electronic devices, exhibiting completely different response characteristics during fault processes, thus significantly altering the safety and stability characteristics of traditional power grids.

[0003] Wind turbine parameter optimization primarily targets controller performance during transient processes, requiring consideration of both the optimization scope and the optimization objective. The optimization scope must comply with the adjustable range of key control parameters for wind turbines as specified in relevant technical standards, and is also limited by the inherent control limits of the wind turbine controller. The objective of parameter optimization is generally to improve the high and low voltage ride-through capabilities of wind turbines. Currently, wind turbine parameter optimization often focuses on single issues, lacking a holistic approach that considers all major stability factors from the perspective of improving overall system stability. Furthermore, the transmission capacity of wind power aggregation areas is constrained by the "bottleneck effect," meaning that improving the stability level of a single type of system through wind turbine parameter optimization may not necessarily improve the transmission capacity. In fact, one-sided parameter optimization can sometimes even exacerbate another type of stability problem, thereby reducing the transmission capacity. Therefore, there is an urgent need for a wind turbine control parameter optimization method that can comprehensively consider the transient stability of wind power integration systems while also contributing to improved transmission capacity. Summary of the Invention

[0004] In view of this, the present invention provides a method and apparatus for optimizing the control parameters of a wind turbine generator set to solve at least one of the aforementioned problems.

[0005] To achieve the above objectives, the present invention adopts the following solution:

[0006] According to a first aspect of the present invention, a method for optimizing control parameters of a wind turbine generator is provided, the method comprising: step a: determining the boundary operating conditions of a wind power collection system; step b: determining the system fault set for testing transient stability; step c: determining the adjustable boundary range of the main control parameters of the wind turbine generator, the main control parameters including: a low-voltage ride-through active current ratio parameter, a low-voltage ride-through reactive power control coefficient, and an active power recovery rate after exiting low-voltage ride-through; step d: performing a fault scan to sequentially simulate each fault in the system fault set, wherein if transient instability is observed in the fault scan results... Proceed to step e. If no transient instability is found in the fault scan results, proceed to step f. Step e: Adjust the main control parameters and re-execute step d. Step f: Determine whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions. If it has, proceed to step h; otherwise, proceed to step g. Step g: Continue to determine whether the main control parameters of the wind turbine have reached the adjustable boundary value. If they have, proceed to step h; otherwise, increase the wind power output and re-execute step d. Step h: Output the optimized results of the main control parameters of the wind turbine and the maximum transmission capacity of the channel.

[0007] According to a second aspect of the present invention, a wind turbine control parameter optimization device is provided, the device comprising: a boundary determination unit for determining the boundary operating conditions of a wind power collection system; a fault set determination unit for determining the system fault set for testing transient stability; an adjustable range determination unit for determining the adjustable boundary range of the main control parameters of the wind turbine, the main control parameters including: a low-voltage ride-through active current ratio parameter, a low-voltage ride-through reactive power control coefficient, and an active power recovery rate after exiting low-voltage ride-through; a fault simulation unit for performing fault scanning to sequentially simulate each fault in the system fault set; a control parameter adjustment unit for adjusting the main control parameters and notifying the fault simulation unit to re-execute the fault scan when the fault scan result of the fault simulation unit shows transient instability; and a first judgment unit for determining the system fault scan result when the fault scan result of the fault simulation unit does not show transient instability. When a transient instability occurs, the system determines whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions. A second determination unit is used to further determine whether the main control parameters of the wind turbine have reached the adjustable boundary value when the first determination unit determines that the active power of wind power in the power flow has not reached the boundary operating value in the boundary operating conditions. A power output adjustment unit is used to increase wind power output and notify the fault simulation unit to re-execute the fault scan when the second determination unit determines that the main control parameters of the wind turbine have not reached the adjustable boundary value. An optimization result output unit is used to output the optimization results of the main control parameters of the wind turbine and the maximum transmission capacity of the channel when the first determination unit determines that the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions, and when the second determination unit determines that the main control parameters of the wind turbine have reached the adjustable boundary value.

[0008] According to a third aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0009] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0010] According to a fifth aspect of the present invention, a computer program product is provided, comprising a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0011] When simulating faults that affect the transient stability of the wind power collection system, this application continuously adjusts the main control parameters of the wind turbine to suppress instability while ensuring that the wind power system has the maximum channel output capacity. That is, it can take into account the transient stability of the wind power access system as a whole, and also help improve the channel output capacity, which plays an important role in reducing curtailment and promoting wind power consumption. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0013] Figure 1 This is a flowchart illustrating a method for optimizing control parameters of a wind turbine generator provided in an embodiment of this application.

[0014] Figure 2 It is a graph showing the voltage, reactive power, and reactive current of a wind turbine X semi-physical test.

[0015] Figure 3 It is a voltage curve diagram under different active current ratio parameters during the X fault of the wind turbine unit;

[0016] Figure 4 It is an active power curve under different active current ratio parameters during the X fault of the wind turbine unit;

[0017] Figure 5 It is a voltage curve of wind turbine X under different active power recovery rates;

[0018] Figure 6 It is a graph of the active power recovery rate of the wind turbine unit X.

[0019] Figure 7 This is a schematic diagram of the structure of a wind turbine control parameter optimization device provided in an embodiment of this application;

[0020] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0022] like Figure 1The diagram shown is a flowchart illustrating a method for optimizing control parameters of a wind turbine generator according to an embodiment of this application. The method includes the following steps:

[0023] Step a: Determine the boundary operating conditions of the wind power collection system.

[0024] Preferably, in this step, the boundary operating conditions of the wind power aggregation system can be determined based on static voltage stability constraints and equipment thermal stability constraints. For example, the maximum transmission power under static voltage stability constraints and the maximum transmission power under equipment thermal stability constraints are first determined, and then the smaller value between the two is selected as the boundary operating value of the wind power aggregation system. That is, the maximum transmission capacity of the channel cannot exceed this boundary operating value. In this embodiment, the above-mentioned static voltage stability constraints can be obtained from the annual simulation calculation results organized by the power grid dispatching department, and the equipment thermal stability constraints can be obtained from the transmission line parameter test report and the main transformer type test report.

[0025] Step b: Determine the system fault set for testing transient stability.

[0026] Preferably, based on the characteristics of the wind power collection system grid, weak points in the system can be extracted and faults can be set, and these faults can be aggregated into a system fault set that affects transient stability. For example, for an ultra-high voltage direct current (UHVDC) transmission system, commutation failure at the converter station can be taken as a transient stability fault, while for a general AC system, the three-phase permanent N-1 fault of the main transmission channel and the N-1 fault of the UHV main transformer can be taken as transient stability faults. Of course, other faults affecting transient stability can also be selected in this embodiment, and this application does not limit them.

[0027] Step c: Determine the adjustable boundary range of the main control parameters of the wind turbine, including: the active current ratio parameter during low voltage ride, the reactive power control coefficient during low voltage ride, and the active power recovery rate after exiting low voltage ride.

[0028] Preferably, the adjustable range of the active current ratio parameter during low voltage ride can be 10% to 90%, the adjustable range of the reactive power control coefficient during low voltage ride can be 0.5 to 3, and the adjustable range of the active power recovery speed after exiting low voltage ride can be 0.1 to 10 Pn / s. Then, the manufacturer's set values ​​of the main control parameters of the wind turbine are taken as the initial values ​​for subsequent optimization calculations.

[0029] It should be noted that the order of steps a-c above can be changed, and this application does not limit it.

[0030] Step d: Perform a fault scan to simulate each fault in the system fault set in sequence. If the fault scan results show transient instability, proceed to step e. If the fault scan results do not show transient instability, proceed to step f.

[0031] In this embodiment, the transient instability that occurs in this step refers to the rectification of the power transmission network. This transient instability can be divided into wind turbine overvoltage instability and thermal power unit power angle instability. When simulating faults in the fault concentration of the system, 70% of the boundary operating value determined in step a can be used as the initial active power flow for optimization calculation.

[0032] Step e: Adjust the main control parameters and repeat step d.

[0033] Preferably, in this step, the main control parameters can be adjusted differently for different transient instability situations. For example, if the transient instability is determined to be overvoltage instability of the wind turbine, the active current ratio parameter for low-voltage ride-through can be increased, and / or the reactive power control coefficient parameter for low-voltage ride-through can be decreased, and / or the active power recovery rate parameter after low-voltage ride-through can be increased. If the transient instability is determined to be power angle instability of the thermal power unit, the active current ratio parameter for low-voltage ride-through can be decreased, and / or the reactive power control coefficient parameter for low-voltage ride-through can be increased, and / or the active power recovery rate parameter after low-voltage ride-through can be decreased. In this embodiment, the three parameters can be adjusted simultaneously, or only one or two of them can be adjusted; this application does not limit this.

[0034] Preferably, the adjustment of the main control parameters in this step can also be carried out in the following ways: If the transient instability is determined to be overvoltage instability of the wind turbine, the priority of the main control parameters is set from high to low as follows: low voltage ride-through reactive power control coefficient, low voltage ride-through active current ratio parameter, and active power recovery speed after exiting low voltage ride-through. When the higher priority parameter is adjusted to the limit, the lower priority parameter is adjusted. The specific adjustment method is to increase the low voltage ride-through active current ratio parameter, decrease the low voltage ride-through reactive power control coefficient parameter, and increase the active power recovery speed parameter after low voltage ride-through. If the transient instability is determined to be power angle instability of the thermal power unit, the priority of the main control parameters is set from high to low as follows: active power recovery speed after exiting low voltage ride-through, low voltage ride-through active current ratio parameter, and low voltage ride-through reactive power control coefficient. When the higher priority parameter is adjusted to the limit, the lower priority parameter is adjusted. The specific adjustment method is to decrease the low voltage ride-through active current ratio parameter, increase the low voltage ride-through reactive power control coefficient parameter, and decrease the active power recovery speed parameter after low voltage ride-through.

[0035] Although the three parameters of low-voltage ride reactive power control factor, low-voltage ride active current ratio parameter, and active power recovery speed after exiting low-voltage ride are all effective in suppressing overvoltage instability of wind turbines, considering the direct effect of reactive power on transient overvoltage, setting the priority of parameter adjustment from high to low as low-voltage ride reactive power control factor, active current ratio during ride, and active power recovery speed after fault can more effectively suppress overvoltage instability of wind turbines.

[0036] In addition, although the above three main control parameters also have the effect of suppressing the power angle instability of thermal power units, considering that the increase of reactive power control coefficient has a positive impact on power angle stability, but the effect is not as good as the adjustment of active power parameters, the priority of the main control parameter adjustment is set from high to low as the active power recovery speed after exiting low voltage ride, the active current ratio parameter of low voltage ride, and the reactive power control coefficient of low voltage ride, which can also suppress the power angle instability of thermal power units more efficiently.

[0037] Step f: Determine whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions. If it has, proceed to step h; otherwise, proceed to step g.

[0038] If the boundary operating value in step a has been reached, it means that the optimization of the main control parameters has been completed, and the channel has the maximum conveying capacity.

[0039] Step g: Continue to determine whether the main control parameters of the wind turbine have reached the adjustable boundary value. If they have, proceed to step h. If they have not, increase the wind power output and re-execute step d.

[0040] Although the active power of wind power has not reached the boundary operating value, the main control parameters have reached the adjustable boundary value and cannot be adjusted further, indicating that the optimization of the main control parameters has also ended, and the channel has reached its maximum transmission capacity under the current environment. If the main control parameters have not reached the adjustable boundary value, it means that the wind power output can be increased, that is, the maximum output capacity of the channel can be improved. Then, by repeating steps d-g, the main control parameters can be optimized so that the maximum output capacity of the channel can be improved while effectively suppressing transient instability.

[0041] Step h: Output the optimized results of the main control parameters of the wind turbine and the maximum transmission capacity of the channel.

[0042] This step indicates that the optimization of the main control parameters of the wind turbine has been completed. At this point, the setting of the main control parameters can effectively suppress transient instability and also have the maximum output capacity of the channel.

[0043] As described above, the wind turbine control parameter optimization method provided in this application, when simulating faults that affect the transient stability of the wind power collection system, can continuously adjust the main control parameters of the wind turbine to suppress instability while ensuring that the wind power system has the maximum channel output capacity. That is, it can comprehensively consider the transient stability problem of the wind power access system and help improve the channel output capacity, which plays an important role in reducing curtailment and promoting wind power consumption.

[0044] In this embodiment, the main control factors selected for the wind turbine are the active current ratio parameter during low-voltage ride-through, the reactive power control factor during low-voltage ride-through, and the active power recovery rate after exiting low-voltage ride-through. This is the optimal parameter set obtained through testing. Further description follows:

[0045] (1) Overvoltage instability of wind turbine units

[0046] During a fault, once a wind turbine enters a low-voltage ride-through state, the higher the active current ratio parameter of the low-voltage ride-through, the greater the active power output of the turbine during the ride-through; the higher the reactive power control coefficient of the low-voltage ride-through, the greater the reactive power output of the turbine during the ride-through; and the faster the active power recovery speed after exiting the low-voltage ride-through, the faster the active power output of the turbine will recover after the fault.

[0047] Figure 2 The figure shows the voltage, reactive power, and reactive current curves of a semi-physical wind turbine X-type unit. The fault condition is a 20% three-phase short-circuit fault at the grid connection point, lasting 0.625 seconds. As shown in the figure, after the fault disappears, the unit voltage rises rapidly, but the reactive current at the turbine terminals cannot change abruptly. Because the reactive current cannot be withdrawn in time, there will be a large reactive power after the fault disappears, which can easily lead to a large transient voltage rise. Increasing the active power generated during the fault or increasing the active power recovery rate after the fault can increase the reactive power consumption of the wind turbine, thereby reducing the total reactive power of the unit and helping to suppress transient overvoltages. Figure 3 This is a voltage curve diagram under different active current ratio parameters during the X fault of the wind turbine unit. Figure 4 This is an active power curve graph under different active current ratio parameters during the X fault of the wind turbine unit. Figure 5 This is a voltage curve graph of wind turbine X under different active power recovery rates. Figure 6 This is a graph showing the active power curves of a wind turbine at different active power recovery rates, such as... Figure 3 , Figure 4 As shown in the simulation curves, the transient overvoltage decreases with increasing active current proportional parameters. Figure 5 , Figure 6 As shown in the simulation curves, the transient overvoltage decreases with the increase of the active power recovery rate.

[0048] The above analysis shows that during system faults, reducing the reactive power control coefficient during low-voltage ride-through of wind turbines, increasing the active current command during low-voltage ride-through, and increasing the active power recovery speed after low-voltage ride-through can all suppress transient overvoltages. Therefore, the reactive power control coefficient during low-voltage ride-through, the active current ratio parameter during low-voltage ride-through, and the active power recovery speed after exiting low-voltage ride-through can be selected as the key parameters affecting overvoltage instability of wind turbines.

[0049] (2) Instability of power angle of thermal power unit

[0050] According to the equal-area rule for system power angle stability, the smaller the acceleration area of ​​the mechanical and electromagnetic power of the synchronous generator after a fault occurs, and the larger the deceleration area of ​​the mechanical and electromagnetic power after the fault is cleared, the more conducive it is to power angle stability and the less likely power angle instability will occur. During a fault, after the wind turbine enters low-voltage ride-through, the lower the active power and the higher the reactive power, the smaller the acceleration area of ​​the synchronous generator. After the fault is cleared, the slower the active power recovery speed of the wind turbine, the larger the deceleration area of ​​the synchronous generator. As shown in the simulation results in Tables 1-3, the lower the active current proportional coefficient, the slower the active power recovery speed, and the larger the reactive power control coefficient of the wind turbine during a fault, the better the system power angle stability. Therefore, the reactive power control coefficient during low-voltage ride-through of the wind turbine, the active current proportional parameter during low-voltage ride-through, and the active power recovery speed after exiting low-voltage ride-through can be selected as key parameters affecting the power angle instability of thermal power units.

[0051] Table 1. Influence of different active current proportionality coefficients on power angle stability

[0052] Active current proportionality coefficient Average power angle swing Maximum power angle swing 50％ 32.51° 37.75° 30％ 31.08° 36.06° 10％ 29.45° 34.39°

[0053] Table 2. Influence of different reactive power control coefficients on power angle stability

[0054] reactive power control coefficient Average power angle swing Maximum power angle swing 1.5 32.51° 37.75° 2.5 32.11° 37.25°

[0055] Table 3. Influence of Active Power Recovery Rate on Power Angle Stability after Different Faults

[0056] Active recovery speed Average power angle swing Maximum power angle swing Restore immediately 33.87° 39.45° Slope recovery 30.34° 35.05°

[0057] like Figure 7 The diagram shown is a schematic representation of a wind turbine control parameter optimization device according to an embodiment of this application. The device includes: a boundary determination unit 710, a fault set determination unit 720, an adjustable range determination unit 730, a fault simulation unit 740, a control parameter adjustment unit 750, a first judgment unit 760, a second judgment unit 770, a power output adjustment unit 780, and an optimization result output unit 790. The fault simulation unit 740 is connected to the fault set determination unit 720, the control parameter adjustment unit 750, the first judgment unit 760, and the power output adjustment unit 780, respectively. The second judgment unit 770 is connected to the adjustable range determination unit 730, the first judgment unit 760, the power output adjustment unit 780, and the optimization result output unit 790, respectively. The first judgment unit 760 is also connected to the boundary determination unit 710 and the optimization result output unit 790, respectively.

[0058] The boundary determination unit 710 is used to determine the boundary operating conditions of the wind power collection system.

[0059] The fault set determination unit 720 is used to determine the system fault set for testing transient stability.

[0060] The adjustable range determination unit 730 is used to determine the adjustable boundary range of the main control parameters of the wind turbine, including: the active current ratio parameter during low voltage ride, the reactive power control coefficient during low voltage ride, and the active power recovery speed after exiting low voltage ride.

[0061] The fault simulation unit 740 is used to perform fault scanning to sequentially simulate each fault in the system fault set.

[0062] The control parameter adjustment unit 750 is used to adjust the main control parameters and notify the fault simulation unit 740 to re-execute the fault scan when the fault scan result of the fault simulation unit 740 shows transient instability.

[0063] The first judgment unit 760 is used to determine whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions determined by the boundary determination unit 710 when the fault scan result of the fault simulation unit 740 does not show transient instability.

[0064] The second judgment unit 770 is used to determine whether the main control parameters of the wind turbine have reached the adjustable boundary value determined by the adjustable range determination unit 730 when the first judgment unit 760 determines that the active power of the wind power in the power flow has not reached the boundary operating value in the boundary operating conditions.

[0065] The output adjustment unit 780 is used to increase the wind power output and notify the fault simulation unit 740 to re-execute the fault scan when the second judgment unit 770 determines that the main control parameters of the wind turbine have not reached the adjustable boundary value.

[0066] The optimization result output unit 790 is used to output the optimization result of the main control parameters of the wind turbine and the maximum transmission capacity of the channel when the first judgment unit 760 judges that the active power of the wind power in the power flow has reached the boundary operating value in the boundary operating conditions, and when the second judgment unit 770 judges that the main control parameters of the wind turbine have reached the adjustable boundary value.

[0067] Preferably, the boundary determination unit 710 is specifically used to determine the boundary operating conditions of the wind power aggregation system based on static voltage stability constraints and equipment thermal stability constraints. For example, it first determines the maximum transmission power under static voltage stability constraints and the maximum transmission power under equipment thermal stability constraints, and then selects the smaller value between the two as the boundary operating value of the wind power aggregation system. That is, the maximum transmission capacity of the channel cannot exceed this boundary operating value. In this embodiment, the above-mentioned static voltage stability constraints can be obtained from the annual simulation calculation results organized by the power grid dispatching department, and the equipment thermal stability constraints can be obtained from the transmission line parameter test report and the main transformer type test report.

[0068] Preferably, the fault set determination unit 720 is specifically used to extract system weaknesses and set faults based on the grid characteristics of the wind power collection system, and to aggregate the faults into a system fault set that affects transient stability. For example, for an ultra-high voltage direct current (UHVDC) transmission system, commutation failure at the converter station can be taken as a transient stability fault, while for a general AC system, the three-phase permanent N-1 fault of the main transmission channel and the UHV main transformer N-1 fault can be taken as transient stability faults. Of course, other faults affecting transient stability can also be selected in this embodiment, and this application does not limit this.

[0069] Preferably, the adjustable range determination unit 730 is specifically used for: the adjustable range of the active current ratio parameter during low voltage ride is 10% to 90%, the adjustable range of the reactive power control coefficient during low voltage ride is 0.5 to 3, the adjustable range of the active power recovery speed after exiting low voltage ride is 0.1 to 10 Pn / s, and taking the manufacturer's set values ​​of the main control parameters of the wind turbine as the initial values ​​for optimization calculation.

[0070] Preferably, the control parameter adjustment unit 750 is specifically used for: if it is determined that the transient instability is overvoltage instability of the wind turbine, then increasing the active current ratio parameter of the low voltage ride-through, and / or decreasing the reactive power control coefficient parameter of the low voltage ride-through, and / or increasing the active power recovery speed parameter after the low voltage ride-through; if it is determined that the transient instability is power angle instability of the thermal power unit, then decreasing the active current ratio parameter of the low voltage ride-through, and / or increasing the reactive power control coefficient parameter of the low voltage ride-through, and / or decreasing the active power recovery speed parameter after the low voltage ride-through.

[0071] Preferably, the control parameter adjustment unit 750 can also be used to: if the transient instability is determined to be wind turbine overvoltage instability, then the priority of the main control parameter adjustment is set from high to low as follows: low voltage ride-through reactive power control coefficient, low voltage ride-through active current ratio parameter, and active power recovery speed after exiting low voltage ride-through. When the higher priority parameter is adjusted to the limit, the lower priority parameter is adjusted. The specific adjustment method is to increase the low voltage ride-through active current ratio parameter, decrease the low voltage ride-through reactive power control coefficient parameter, and increase the active power recovery speed parameter after low voltage ride-through. If the transient instability is determined to be thermal power unit power angle instability, then the priority of the main control parameter adjustment is set from high to low as follows: active power recovery speed after exiting low voltage ride-through, low voltage ride-through active current ratio parameter, and low voltage ride-through reactive power control coefficient. When the higher priority parameter is adjusted to the limit, the lower priority parameter is adjusted. The specific adjustment method is to decrease the low voltage ride-through active current ratio parameter, increase the low voltage ride-through reactive power control coefficient parameter, and decrease the active power recovery speed parameter after low voltage ride-through.

[0072] Preferably, when adjusting the active current ratio parameter of low voltage ride-through, the control parameter adjustment unit 750 uses 5% to 10% as the adjustment amplitude for each adjustment; when adjusting the reactive power control coefficient parameter of low voltage ride-through, it uses 0.05 to 0.1 as the adjustment amplitude for each adjustment; and when adjusting the active power recovery speed parameter after low voltage ride-through, it uses 0.2 to 0.5 as the adjustment amplitude for each adjustment.

[0073] The wind turbine control parameter optimization device provided in this application, when simulating faults that affect the transient stability of the wind power collection system, continuously adjusts the main control parameters of the wind turbine to suppress instability, while also ensuring that the wind power system has the maximum channel output capacity. That is, it can take into account the transient stability of the wind power access system as a whole, and also help improve the channel output capacity, which plays an important role in reducing curtailment and promoting wind power consumption.

[0074] The implementation and beneficial effects of the wind turbine control parameter optimization method of this application will be further described below through a specific embodiment:

[0075] For a specific wind power aggregation system, based on the strategy proposed in this invention, the control strategy for wind turbine units connected to the region is optimized, and the active power transmission capacity of the optimized channel is calculated. The static voltage stability limit of the region is 1140MW, and 800MW is taken as the initial active power flow for optimization. The N-1 fault of the main transmission line is taken as the test fault. The adjustable range of the main control parameters of the units is: low voltage ride reactive power control coefficient 0.5~3, low voltage ride active current percentage 10%~90%, and active power recovery rate after low voltage ride 0.1~10Pn / s. The main control parameters before optimization are: low voltage ride reactive power control coefficient 1.5, low voltage ride active current percentage 50%, and active power recovery rate after low voltage ride 3Pn / s.

[0076] according to Figure 1 The process shown involves parameter optimization:

[0077] Round 1: When the initial active power flow of the 800MW optimization was in place, the scanning system fault set did not show any instability, so the wind power output (i.e. the channel transmission limit) was increased to 900MW.

[0078] Round 2: When the active power flow is at 900MW, the fault set of the scanning system does not show any instability, so the wind power output is increased to 1000MW.

[0079] Round 3: When the active power flow is at 1000MW, if overvoltage instability occurs in the fault set of the scanning system, the instability is suppressed by reducing the low-voltage ride-through reactive power control factor to 1.52. After the overvoltage instability is suppressed, the wind power output is further increased to 1040MW. It should be noted that the reduction of the low-voltage ride-through reactive power control factor from 1.61 to 1.52 can be done in one step or in multiple steps. For details, please refer to [link to relevant documentation]. Figure 1 The description.

[0080] Round 4: When the active power flow is at 1040MW, if the fault set of the scanning system shows overvoltage instability again, the instability will continue to be suppressed by reducing the low voltage ride-through reactive power control coefficient to 1.36. After the overvoltage instability is suppressed, the wind power output will continue to be increased to 1080MW.

[0081] Round 5: When the active power flow is at 1080MW, if the fault set of the scanning system shows overvoltage instability again, the instability will continue to be suppressed by reducing the low voltage ride-through reactive power control coefficient to 1.13. After the overvoltage instability is suppressed, the wind power output will continue to be increased to 1140MW.

[0082] Round 6: When the active power flow is at 1140MW, the scanning system fault set shows over-power angle instability again. Instability is suppressed by increasing the active power recovery rate after low voltage ride-through to 5.5Pn / s. After the power angle instability is suppressed, since the active power of wind power has reached the boundary range value, the main control parameter values ​​and the maximum transmission capacity of the channel are output at this time, namely, the reactive power control coefficient of low voltage ride-through is 1.13, the percentage of active current of low voltage ride-through is 50%, the active power recovery rate after low voltage ride-through is 5.5Pn / s, and the maximum transmission capacity of the channel is 1140MW.

[0083] Figure 8 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Figure 8 The illustrated electronic device is a general-purpose data processing apparatus, comprising a general-purpose computer hardware structure, including at least a processor 801 and a memory 802. The processor 801 and memory 802 are connected via a bus 803. The memory 802 is adapted to store one or more instructions or programs executable by the processor 801. These instructions or programs are executed by the processor 801 to implement the steps in the aforementioned wind turbine control parameter optimization method.

[0084] The processor 801 described above can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 801 executes commands stored in the memory 802, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 803 connects the aforementioned components together, and also connects these components to the display controller 804, the display device, and the input / output (I / O) device 805. The input / output (I / O) device 805 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output (I / O) device 805 is connected to the system via an input / output (I / O) controller 806.

[0085] The memory 802 can store software components, such as an operating system, a communication module, an interaction module, and application programs. Each of the modules and application programs described above corresponds to a set of executable program instructions that perform one or more functions and the methods described in the embodiments of the invention.

[0086] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the wind turbine control parameter optimization method described above.

[0087] This invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the wind turbine control parameter optimization method described above.

[0088] In summary, the wind turbine control parameter optimization method and apparatus provided in this embodiment of the invention, when simulating faults that affect the transient stability of the wind power collection system, can continuously adjust the main control parameters of the wind turbine to suppress instability while ensuring that the wind power system has the maximum channel output capacity. That is, it can comprehensively consider the transient stability problem of the wind power access system and help improve the channel output capacity, which plays an important role in reducing curtailment and promoting wind power consumption.

[0089] Preferred embodiments of the invention have been described above with reference to the accompanying drawings. Many features and advantages of these embodiments are apparent from this detailed description, and therefore the claims are intended to cover all such features and advantages of these embodiments that fall within their true spirit and scope. Furthermore, since many modifications and alterations will readily occur to those skilled in the art, the embodiments of the invention are not intended to be limited to the precise structures and operations illustrated and described, but rather to encompass all suitable modifications and equivalents falling within their scope.

[0090] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0092] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0093] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0094] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for optimizing control parameters of a wind turbine generator set, characterized in that, The method includes: Step a: Determine the boundary operating conditions of the wind power collection system; Step b: Determine the system fault set for testing transient stability; Step c: Determine the adjustable boundary range of the main control parameters of the wind turbine, including: the active current ratio parameter of low voltage ride-through, the reactive power control coefficient of low voltage ride-through, and the active power recovery rate after exiting low voltage ride-through. Step d: Perform a fault scan to simulate each fault in the fault set of the system in sequence. If the fault scan results show transient instability, proceed to step e. If the fault scan results do not show transient instability, proceed to step f. Step e: Adjust the main control parameters and re-execute step d. The adjustment of the main control parameters specifically includes: if the transient instability is determined to be wind turbine overvoltage instability, then the priority of adjusting the main control parameters is set from high to low as follows: low-voltage ride-through reactive power control coefficient, low-voltage ride-through active current ratio parameter, and active power recovery speed after exiting low-voltage ride-through. The adjustment is performed sequentially from high to low priority, specifically by increasing the low-voltage ride-through active current ratio parameter, decreasing the low-voltage ride-through reactive power control coefficient parameter, and increasing the active power recovery speed parameter after low-voltage ride-through. If the transient instability is determined to be thermal power unit power angle instability, then the priority of adjusting the main control parameters is set from high to low as follows: active power recovery speed after exiting low-voltage ride-through, low-voltage ride-through active current ratio parameter, and low-voltage ride-through reactive power control coefficient. The adjustment is performed sequentially from high to low priority, specifically by decreasing the low-voltage ride-through active current ratio parameter, increasing the low-voltage ride-through reactive power control coefficient parameter, and decreasing the active power recovery speed parameter after low-voltage ride-through. Step f: Determine whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions. If it has, proceed to step h; otherwise, proceed to step g. Step g: Continue to determine whether the main control parameters of the wind turbine have reached the adjustable boundary value. If they have, proceed to step h; otherwise, increase the wind power output and re-execute step d. Step h: Output the optimized results of the main control parameters of the wind turbine and the maximum transmission capacity of the channel.

2. The wind turbine control parameter optimization method as described in claim 1, characterized in that, Step a involves determining the boundary operating conditions of the wind power collection system, including determining the boundary operating conditions of the wind power collection system based on static voltage stability constraints and equipment thermal stability constraints.

3. The wind turbine control parameter optimization method as described in claim 2, characterized in that, The determination of the boundary operating conditions of the wind power collection system based on static voltage stability constraints and equipment thermal stability constraints further includes: determining the maximum output power under static voltage stability constraints and the maximum output power under equipment thermal stability constraints, and selecting the smaller value as the boundary operating value of the wind power collection system.

4. The wind turbine control parameter optimization method as described in claim 1, characterized in that, Step b involves determining the system fault set for testing transient stability by: extracting system weak points and setting faults based on the characteristics of the wind power collection system grid, and then aggregating these faults into a system fault set that affects transient stability.

5. The wind turbine control parameter optimization method as described in claim 4, characterized in that, The system fault set includes: commutation failure at the converter station, three-phase permanent N-1 faults in the main transmission channel, and N-1 faults in the UHV main transformer.

6. The wind turbine control parameter optimization method as described in claim 1, characterized in that, Step c, determining the adjustable boundary range of the main control parameters of the wind turbine, includes: The adjustable range of the active current ratio parameter for low voltage ride-through is 10%~90%, the adjustable range of the reactive power control coefficient for low voltage ride-through is 0.5~3, and the adjustable range of the active power recovery speed after exiting low voltage ride-through is 0.1~10Pn / s. The manufacturer's set values ​​of the main control parameters of the wind turbine are used as the initial values ​​for optimization calculation.

7. The wind turbine control parameter optimization method as described in claim 1, characterized in that, Step e, adjusting the main control parameters specifically includes: If the transient instability is determined to be overvoltage instability of the wind turbine, then increase the active current ratio parameter of the undervoltage ride-through, and / or decrease the reactive power control coefficient parameter of the undervoltage ride-through, and / or increase the active power recovery speed parameter after the undervoltage ride-through. If the transient instability is determined to be power angle instability of the thermal power unit, then reduce the active current ratio parameter of the low voltage ride-through, and / or increase the reactive power control coefficient parameter of the low voltage ride-through, and / or reduce the active power recovery rate parameter after the low voltage ride-through.

8. The wind turbine control parameter optimization method as described in claim 1 or 7, characterized in that, For the active current ratio parameter during low-voltage ride-through, the adjustment range is 5% to 10% for each adjustment; for the reactive power control coefficient parameter during low-voltage ride-through, the adjustment range is 0.05 to 0.1 for each adjustment; and for the active power recovery rate parameter after low-voltage ride-through, the adjustment range is 0.2 to 0.5 for each adjustment.

9. A wind turbine control parameter optimization device, characterized in that, The device includes: Boundary determination unit, used to determine the boundary operating conditions of the wind power collection system; The fault set determination unit is used to determine the system fault set for testing transient stability. The adjustable range determination unit is used to determine the adjustable boundary range of the main control parameters of the wind turbine, including: the active current ratio parameter of low voltage ride-through, the reactive power control coefficient of low voltage ride-through, and the active power recovery speed after exiting low voltage ride-through. A fault simulation unit is used to perform fault scanning to sequentially simulate each fault in the system fault set; The control parameter adjustment unit is used to adjust the main control parameters and notify the fault simulation unit to re-execute the fault scan when the fault scan result of the fault simulation unit shows transient instability. The first judgment unit is used to determine whether the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions when the fault scan result of the fault simulation unit does not show transient instability. The second judgment unit is used to further judge whether the main control parameters of the wind turbine have reached the adjustable boundary value when the first judgment unit judges that the active power of wind power in the power flow has not reached the boundary operating value in the boundary operating conditions. The output adjustment unit is used to increase the wind power output and notify the fault simulation unit to re-execute the fault scan when the second judgment unit determines that the main control parameters of the wind turbine have not reached the adjustable boundary value. The optimization result output unit is used to output the optimization result of the main control parameters of the wind turbine and the maximum transmission capacity of the channel when the first judgment unit determines that the active power of wind power in the power flow has reached the boundary operating value in the boundary operating conditions, and when the second judgment unit determines that the main control parameters of the wind turbine have reached the adjustable boundary value. The control parameter adjustment unit is specifically used for: if the transient instability is determined to be wind turbine overvoltage instability, then the priority of the main control parameters is set from high to low as follows: low voltage ride-through reactive power control coefficient, low voltage ride-through active current ratio parameter, and active power recovery speed after exiting low voltage ride-through. The adjustment is performed sequentially from high to low priority, specifically by increasing the low voltage ride-through active current ratio parameter, decreasing the low voltage ride-through reactive power control coefficient parameter, and increasing the active power recovery speed parameter after low voltage ride-through. If the transient instability is determined to be thermal power unit power angle instability, then the priority of the main control parameters is set from high to low as follows: active power recovery speed after exiting low voltage ride-through, low voltage ride-through active current ratio parameter, and low voltage ride-through reactive power control coefficient. The adjustment is performed sequentially from high to low priority, specifically by decreasing the low voltage ride-through active current ratio parameter, increasing the low voltage ride-through reactive power control coefficient parameter, and decreasing the active power recovery speed parameter after low voltage ride-through.

10. The wind turbine control parameter optimization device as described in claim 9, characterized in that, The boundary determination unit is specifically used to determine the boundary operating conditions of the wind power collection system based on static voltage stability constraints and equipment thermal stability constraints.

11. The wind turbine control parameter optimization device as described in claim 10, characterized in that, The determination of the boundary operating conditions of the wind power collection system based on static voltage stability constraints and equipment thermal stability constraints further includes: determining the maximum output power under static voltage stability constraints and the maximum output power under equipment thermal stability constraints, and selecting the smaller value as the boundary operating value of the wind power collection system.

12. The wind turbine control parameter optimization device as described in claim 9, characterized in that, The fault set determination unit is specifically used to: extract system weak points and set faults based on the grid characteristics of the wind power collection system, and aggregate the faults into a system fault set that affects transient stability.

13. The wind turbine control parameter optimization device as described in claim 12, characterized in that, The system fault set includes: commutation failure at the converter station, three-phase permanent N-1 faults in the main transmission channel, and N-1 faults in the UHV main transformer.

14. The wind turbine control parameter optimization device as described in claim 9, characterized in that, The adjustable range determination unit is specifically used for: the adjustable range of the active current ratio parameter during low voltage ride is 10%~90%, the adjustable range of the reactive power control coefficient during low voltage ride is 0.5~3, the adjustable range of the active power recovery speed after exiting low voltage ride is 0.1~10Pn / s, and the manufacturer's set values ​​of the main control parameters of the wind turbine are taken as the initial values ​​for optimization calculation.

15. The wind turbine control parameter optimization device as described in claim 9, characterized in that, The control parameter adjustment unit is specifically used to: if it is determined that the transient instability is the overvoltage instability of the wind turbine, then increase the active current ratio parameter of the low voltage ride-through, and / or decrease the reactive power control coefficient parameter of the low voltage ride-through, and / or increase the active power recovery speed parameter after the low voltage ride-through. If the transient instability is determined to be power angle instability of the thermal power unit, then reduce the active current ratio parameter of the low voltage ride-through, and / or increase the reactive power control coefficient parameter of the low voltage ride-through, and / or reduce the active power recovery rate parameter after the low voltage ride-through.

16. The wind turbine control parameter optimization device as described in claim 9 or 15, characterized in that, For the active current ratio parameter during low-voltage ride-through, the adjustment range is 5% to 10% for each adjustment; for the reactive power control coefficient parameter during low-voltage ride-through, the adjustment range is 0.05 to 0.1 for each adjustment; and for the active power recovery rate parameter after low-voltage ride-through, the adjustment range is 0.2 to 0.5 for each adjustment.

17. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the wind turbine control parameter optimization method according to any one of claims 1 to 8.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the wind turbine control parameter optimization method according to any one of claims 1 to 8.

19. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the wind turbine control parameter optimization method according to any one of claims 1 to 8.

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