Power curve optimization method, device, medium and wind turbine generator set

Abstract

The present disclosure provides a power curve optimization method, device, medium and wind turbine generator. The power curve optimization method comprises: obtaining a generator speed and a generator torque of a wind turbine generator; obtaining a generator torque demand value based on the generator speed; low-pass filtering the generator torque to obtain a filtered generator torque; performing PI regulation on a difference between the filtered generator torque and the generator torque demand value to obtain a demand torque change value; and sending a command corresponding to a sum of the demand torque change value and the generator torque demand value to a converter of the wind turbine generator to optimize a power curve of the wind turbine generator. The power curve optimization method of the wind turbine generator according to the embodiment of the present disclosure can optimize the power curve of the wind turbine generator and improve the power generation of the wind turbine generator.

Description

Technical Field

[0001] This disclosure relates to the field of wind power generation technology, and more specifically, to a method, apparatus, medium, and wind turbine generator set for optimizing the power curve of a wind turbine generator set. Background Technology

[0002] In the overall system of a wind turbine generator set, optimal control of the rotor speed is a crucial guarantee for achieving the optimal power curve of the entire system.

[0003] Currently, the accuracy of measuring impeller speed using proximity switches is low, and the measured impeller speed only participates in the impeller speed protection of wind turbine generators, not in wind turbine control. The speed measured by rotary encoders has high accuracy and can be directly applied to the impeller control system, but its cost is high. Both the speed measured by converter feedback and conventional speed measurement can be applied to the impeller control system of wind turbine generators, but their speed measurement accuracy needs to be further improved.

[0004] In the speed control systems of wind turbine manufacturers, the digital filters used are generally IIR (Infinite Impulse Response) type low-pass, band-stop filters, which attenuate relevant vibration frequencies (e.g., blade frequencies, tower first-order frequencies, etc.). However, actual field operation reveals that a small number of wind turbines still experience tower first-order resonance and blade resonance (manifesting as pitch motor temperature rise faults), especially in large-rotor, high-tower, and large-capacity units. The reason for this is that the transfer function of current band-stop filters has inherent limitations, resulting in insufficient attenuation of the core resonant frequency. This leads to the easy triggering of electromechanical coupling resonances during wind turbine operation. Therefore, future development requires new control algorithms to further attenuate the core resonant frequency signals during turbine operation, without affecting the normal operation of the rotor speed (avoiding abnormal speed fluctuations).

[0005] Furthermore, the existing control system only performs closed-loop feedback control of impeller speed based on the overall impeller control logic, without performing closed-loop feedback control of torque, and the power curve needs to be optimized. Summary of the Invention

[0006] One of the purposes of this disclosure is to provide a power curve optimization method that can optimize the power curve of a wind turbine generator set and improve the power generation of the wind turbine generator set.

[0007] According to one aspect of this disclosure, a method for optimizing the power curve of a wind turbine generator set is provided. The method includes: obtaining the generator speed and generator torque of the wind turbine generator set; obtaining a generator torque demand value based on the generator speed; performing a low-pass filter on the generator torque to obtain a filtered generator torque; performing PI regulation on the difference between the filtered generator torque and the generator torque demand value to obtain a demand torque change value; and sending a command corresponding to the sum of the demand torque change value and the generator torque demand value to the converter of the wind turbine generator set to optimize the power curve of the wind turbine generator set.

[0008] According to embodiments of this disclosure, the step of performing PI regulation on the difference between the filtered generator torque and the generator torque demand value may include: determining a PI parameter corresponding to the power segment in which the output power of the wind turbine generator set is located, and performing PI regulation on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameter, so that the change in demand torque is within a predetermined range.

[0009] According to embodiments of this disclosure, the corresponding PI parameters can be determined differently in response to different power ranges in which the output power of the wind turbine generator is located.

[0010] According to embodiments of this disclosure, the step of obtaining the generator torque demand value based on the generator speed may include: filtering the generator speed to obtain a filtered generator speed; and performing PI regulation on the difference between the filtered generator speed and a generator speed reference value to obtain the generator torque demand value.

[0011] According to embodiments of this disclosure, the step of filtering the generator speed may include: sequentially performing a third-order low-pass filter and an FIR band-stop filter on the generator speed to obtain the filtered generator speed.

[0012] According to embodiments of this disclosure, the steps of obtaining the generator speed and generator torque of a wind turbine generator set may include: calculating the generator speed and generator torque based on the three-phase current and three-phase voltage on the generator side.

[0013] According to another aspect of this disclosure, a computer-readable storage medium is provided, which may store instructions or programs that, when executed by a processor, implement the power curve optimization method for a wind turbine generator set as described above.

[0014] According to another aspect of this disclosure, a power curve optimization device for a wind turbine generator set is provided. The device includes: a parameter acquisition unit for acquiring the generator speed and generator torque of the wind turbine generator set; a torque demand value acquisition unit for acquiring the generator torque demand value based on the generator speed; a first filtering unit for performing low-pass filtering on the generator torque to obtain the filtered generator torque; a first PI regulator for performing PI regulation on the difference between the filtered generator torque and the generator torque demand value to obtain a torque change value; and an optimization unit for sending a command consisting of the sum of the demand torque change value and the generator torque demand value to the converter of the wind turbine generator set to optimize the power curve of the wind turbine generator set.

[0015] According to embodiments of this disclosure, a first PI regulator may be configured to determine PI parameters corresponding to the power range in which the output power of the wind turbine generator is located, and to perform PI regulation on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameters, so that the change in demand torque is within a predetermined range.

[0016] According to an embodiment of this disclosure, the torque demand value acquisition unit can be configured to: sequentially perform a third-order low-pass filter and an FIR band-stop filter on the generator speed to obtain the filtered generator speed; and perform PI regulation on the difference between the filtered generator speed and the generator speed reference value to obtain the generator torque demand value.

[0017] According to another aspect of this disclosure, a power curve optimization device for a wind turbine generator set is provided, which may include the computer-readable storage medium described above.

[0018] According to another aspect of this disclosure, a wind turbine generator set is provided, which includes a power curve optimization device as described above or a computer-readable storage medium as described above.

[0019] The power curve optimization method and power curve optimization device for wind turbine generator sets according to embodiments of this disclosure can effectively attenuate and suppress individual key resonant frequencies during the operation of the entire unit, preventing damage to major components of the entire unit.

[0020] The power curve optimization method and power curve optimization device for wind turbine generator sets according to the embodiments of this disclosure adopt a torque closed-loop control scheme, which can reduce the deviation between the torque reference value and the torque measurement value, thereby improving the power generation of the wind turbine generator set. Attached Figure Description

[0021] These and / or other aspects and advantages of this disclosure will become clearer and more readily understood from the following description of the embodiments, taken in conjunction with the accompanying drawings, wherein:

[0022] Figure 1 This is a flowchart of a power curve optimization method for a wind turbine generator set according to the first embodiment of this disclosure;

[0023] Figure 2 This is a flowchart of a power curve optimization method for a wind turbine generator set according to a second embodiment of the present disclosure;

[0024] Figure 3 This is a control block diagram of a power curve optimization method for wind turbine generator sets according to an embodiment of the present disclosure;

[0025] Figure 4 This is a control block diagram of a power curve optimization method for wind turbine generator sets according to an embodiment of the present disclosure;

[0026] Figure 5 These are amplitude-frequency response and phase-frequency response curves of a second-order low-pass filter and a third-order low-pass filter according to embodiments of the present disclosure.

[0027] Figure 6 This is a block diagram of a power curve optimization device for a wind turbine generator set according to the first embodiment of this disclosure. Detailed Implementation

[0028] The present invention will now be described in detail with reference to embodiments thereof, examples of which are illustrated in the accompanying drawings, wherein the same reference numerals refer to the same parts throughout. The embodiments will be described below with reference to the accompanying drawings in order to explain the present invention.

[0029] The power curve optimization method and power curve optimization device according to embodiments of the present invention are applicable to the control of the converter of a wind turbine generator set.

[0030] The power curve optimization method and power curve optimization device according to embodiments of the present invention employ a torque closed-loop control scheme to keep the deviation between the generator torque and the generator torque reference value (or the generator torque demand value) within a reasonable range, thereby increasing the power generation of the wind turbine generator set.

[0031] The power curve optimization method and power curve optimization device according to embodiments of the present invention employ a cyclic control scheme of generator torque and generator speed to optimize the power curve of the wind turbine generator set.

[0032] The power curve optimization method and apparatus according to embodiments of the present invention employ a third-order low-pass filter and an FIR filter, which can effectively attenuate and suppress individual key resonant frequencies during the operation of the entire machine, preventing damage to major components. Preferred embodiments of the present disclosure will now be described in conjunction with the accompanying drawings.

[0033] Figure 1 This is a flowchart of a power curve optimization method for a wind turbine generator set according to the first embodiment of this disclosure. Figure 2 This is a flowchart of a power curve optimization method for a wind turbine generator set according to a second embodiment of the present disclosure. Figure 3 This is a control block diagram of a power curve optimization method for wind turbine generators according to embodiments of the present disclosure. Figure 4 This is a control block diagram of a power curve optimization method for wind turbine generators according to embodiments of the present disclosure. Figure 5 These are amplitude-frequency response and phase-frequency response curves of a second-order low-pass filter and a third-order low-pass filter according to embodiments of the present disclosure. Figure 6 This is a block diagram of a power curve optimization device for a wind turbine generator set according to the first embodiment of this disclosure.

[0034] like Figure 1 As shown, the power curve optimization method according to embodiments of the present disclosure may include steps S110, S120, S130, S140 and S150.

[0035] In step S110, the generator speed and generator torque of the wind turbine generator set are obtained.

[0036] Generator speed and generator torque can be measured based on the three-phase current and / or three-phase voltage on the generator side. That is, generator speed and generator torque can be defined as generator measured speed and generator measured torque, respectively.

[0037] For example, based on the principle that the generator output voltage is proportional to the speed, the generator speed can be indirectly obtained from the generator output voltage. Alternatively, the generator torque can be calculated from the generator speed and the generator output power.

[0038] As an example, the generator speed can also be measured by converting optical signals into speed-related electrical signals using a speed sensor. For instance, the speed sensor may primarily consist of a photoelectric encoder or grating, which generates speed-related pulsed electrical signals, from which the generator speed is determined. However, the methods for measuring generator speed and torque are not limited to this; other parameters can also be used to estimate generator speed and torque.

[0039] As an example, the generator speed and generator torque here can both be real-time measurements.

[0040] Step S110 of obtaining the generator speed and generator torque of the wind turbine generator set may include: calculating the generator speed and generator torque based on the three-phase current and three-phase voltage on the generator side.

[0041] In step S120, the generator torque requirement value is obtained based on the generator speed.

[0042] As an example, the generator torque demand value can be obtained by performing PI (proportional-integral) regulation on the difference between the generator speed and the generator speed reference value.

[0043] The generator speed reference values ​​and the generator torque requirement values ​​described below are predetermined values. Depending on the power range in which the generator output power is located, the generator speed reference values ​​or requirement values ​​and the generator torque reference values ​​or requirement values ​​may differ from each other in different power ranges. For example, the higher the generator output power, the higher the generator speed reference value can be.

[0044] Furthermore, depending on the power range in which the generator output power is located, the proportional and integral coefficients of the PI regulation applied to the difference between the generator speed and the generator speed reference value may be different.

[0045] In other words, referencing Figure 3 The pitch rate requirement can be obtained by performing PI (proportional-integral) regulation on the difference between the generator speed and the generator speed reference value.

[0046] The pitch control system can adjust the output power of the wind turbine generator by controlling the pitch system to perform pitch adjustments based on the obtained pitch rate demand value. The pitch adjustment performed based on the pitch rate demand value has little correlation with the cyclic control based on generator speed and generator torque of this disclosure, and therefore its detailed description will be omitted.

[0047] Step S120, which obtains the generator torque demand value based on the generator speed, may include the following steps: filtering the generator speed to obtain a filtered generator speed, and performing PI adjustment on the difference between the filtered generator speed and a generator speed reference value to obtain the generator torque demand value.

[0048] Specifically, refer to Figure 2 The step S120, which obtains the generator torque demand value based on the generator speed, may include steps S1210, S1220, and S1230.

[0049] In step S1210, a third-order low-pass filter is applied to the generator speed.

[0050] In step S1220, FIR band-stop filtering is performed on the generator speed after the third-order low-frequency filtering to obtain the filtered generator speed.

[0051] In step S1230, PI adjustment is performed on the difference between the filtered generator speed and the generator speed reference value to obtain the generator torque demand value.

[0052] In other words, referencing Figure 3The generator torque demand value can be obtained by filtering the acquired (e.g., measured) generator speed before performing PI (proportional-integral) regulation on the difference between the generator speed and the generator speed reference value.

[0053] Since second-order low-pass filters and band-stop filters have low optimization performance for vibration signals such as blade natural frequencies, the power curve optimization method disclosed herein replaces the second-order low-pass filter with a third-order low-pass filter, thereby attenuating high-frequency signals (corresponding to blade solid modes) as much as possible, and realizing the attenuation and suppression of such frequencies (corresponding to blade solid modes) by the control algorithm during the operation of the whole machine.

[0054] The transfer functions G(S) of the second-order and third-order low-pass filters can be shown in equations (1) and (2) below, respectively. The amplitude-frequency response and phase-frequency response of the second-order and third-order low-pass filters are as follows: Figure 5 As shown.

[0055]

[0056]

[0057] In equation (1), ω is the cutoff frequency of the second-order low-pass filter, which is generally determined based on the natural frequency of the blade, and d is the damping value, which can be 1.0.

[0058] In equation (2), ω1, ω2, and ω3 can be low-pass cutoff frequencies. ω1, ω2, and ω3 can all be determined according to the frequency of the high-frequency signal to be attenuated. d1 and d2 are damping values, which can both be 2.0.

[0059] Reference Figure 5 Curves G11 and G33 are the amplitude-frequency response curve and phase-frequency response curve of the second-order low-pass filter, respectively, and curves G22 and G44 are the amplitude-frequency response curve and phase-frequency response curve of the third-order low-pass filter according to an embodiment of the present disclosure, respectively.

[0060] from Figure 5 The Bode plots of the second-order and third-order low-pass filters shown indicate that the third-order low-pass filter according to the embodiments of this disclosure has better attenuation characteristics for high-frequency signals.

[0061] Reference Figure 3 After performing a third-order low-pass filter on the generator speed, an FIR (Finite Impulse Response) band-stop filter can be performed.

[0062] IIR filter algorithms are insufficient for optimizing certain low-frequency signals. The power curve optimization method according to the embodiments of this disclosure uses an FIR filter.

[0063] The advantage of FIR filters is that their transfer function is linear, and multiple types of windowing functions can be selected. Therefore, for resonances such as blade natural frequencies and tower first-order frequencies that are prone to occur during unit operation, band-stop filters with different center frequencies can be designed to attenuate the relevant signals, thereby realizing the attenuation and suppression of easily occurring resonance signals (e.g., blade natural frequency signals and tower first-order vibration signals) by the control algorithm during the operation of the whole unit. The transfer function of the FIR band-stop filter is shown in equation (3).

[0064]

[0065] h(n) = h d (n)w(n),n=0,1,...,M,|ω|≤ω l , |ω|≥ω h Equation (4)

[0066]

[0067] In equations (3) to (5), H(z) is the transfer function, h d h(n) is the impulse response function, h(n) is the filter response function value after adding the window function, and N is the order of the filter function, which can be selected according to actual needs. l With ω h The stopband cutoff frequency is denoted by , and can be preset according to the frequency of the resonant signal. w(n) is the window function, and M refers to the order of the filter, which can be equal to N.

[0068] The generator speed (e.g., the generator measured speed) is passed through an FIR type band-stop filter to obtain the filtered generator speed, thereby suppressing the resonance signal that is prone to occur.

[0069] A PI controller can be applied to the difference between the generator torque and the generator torque demand value to obtain the change in demand torque. Before applying the PI controller to the difference between the generator torque and the generator torque demand value, a low-pass filter can be applied to the generator torque.

[0070] In step S130, the generator torque is low-pass filtered to obtain the filtered generator torque.

[0071] The cutoff frequency of the low-pass filter here can be different from the cutoff frequency of the low-pass filter applied to the generator speed.

[0072] In step S140, PI (proportional-integral) adjustment is performed on the difference between the filtered generator torque and the generator torque demand value to obtain the demand torque change value.

[0073] The proportional and integral coefficients of the PI control here may differ from those of the PI control applied for the generator speed difference. All proportional and integral coefficients of the PI control in this disclosure may be empirical values ​​and may be pre-stored.

[0074] Furthermore, the PI parameters can be determined differently depending on the power range in which the wind turbine's output power falls. In other words, the PI parameters are determined differently in response to different power ranges in which the wind turbine's output power falls.

[0075] In step S150, a command corresponding to the sum of the required torque change value and the generator torque requirement value is sent to the converter of the wind turbine generator set to optimize the power curve of the wind turbine generator set.

[0076] Reference Figure 4 According to embodiments of this disclosure, the measured torque value of the turbine side or the torque demand value of the generator is used as the input of the torque closed-loop control. The change value of the demand torque is calculated by PI, and the change value of the demand torque is superimposed with the torque demand value of the generator to obtain a new torque demand value. This new torque demand value is then transmitted to the wind turbine (e.g., the converter of the wind turbine) to perform corresponding converter control, thereby optimizing the output power of the wind turbine generator set.

[0077] The steps of performing PI regulation on the difference between the filtered generator torque and the generator torque demand value include: determining the PI parameter corresponding to the power range in which the output power of the wind turbine generator set is located, and performing PI regulation on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameter, so that the change in demand torque is within a predetermined range.

[0078] As an example, refer to Figure 4 The PI parameters corresponding to the power range of the wind turbine generator's output power can be stored in the gain scheduling table. Since the control parameters for each power range are slightly different, the gain scheduling coefficient corresponding to this power range stored in the gain scheduling table can be multiplied by the baseline PI parameter value to obtain the appropriate PI control parameters corresponding to this power range.

[0079] Based on the power range corresponding to the output power of the wind turbine generator set, a specific transfer function is obtained through the rotor speed and torque. This ensures that the calculated change in required torque is within the envelope of the torque and within the reasonable range of torque variation (e.g., ±3% of the current torque value). This keeps the deviation between the measured generator torque value and the torque reference value (or the generator torque requirement value) within a reasonable range, ultimately maintaining the aerodynamic characteristics of the entire machine at a high level.

[0080] The above steps can be written as software programs or instructions. Therefore, the power curve optimization method according to an exemplary embodiment of the present invention can be implemented via software. The computer-readable storage medium of the exemplary embodiment of the present invention can store a computer program that, when executed by a processor, implements the power curve optimization method as described in the above exemplary embodiment.

[0081] Computer-readable storage media include magnetic media such as floppy disks and magnetic tapes, optical media (including optical disc (CD) ROMs and DVD ROMs), magneto-optical media such as flexible optical discs, hardware devices such as ROMs and RAMs designed for storing and executing program commands, and flash memory. The program commands include language code executable by a computer using an interpreter and machine language code generated by a compiler. The aforementioned hardware devices can be implemented by one or more software modules for performing the operations of the various embodiments of this disclosure.

[0082] Reference Figure 6 The power curve optimization device for a wind turbine generator set according to an embodiment of the present disclosure includes a parameter acquisition unit 610, a torque demand value acquisition unit 620, a first filtering unit 630, a first PI regulator 640, and an optimization unit 650.

[0083] The parameter acquisition unit 610 can obtain the generator speed and generator torque of the wind turbine generator set.

[0084] The parameter acquisition unit 610 can measure the generator speed and generator torque in real time.

[0085] For example, the parameter acquisition unit 610 can indirectly obtain the generator speed based on the generator's output voltage, according to the principle that the generator's output voltage is proportional to its rotational speed.

[0086] The parameter acquisition unit 610 can calculate the generator torque based on the generator speed and the generator output power. The parameter acquisition unit 610 can also be a corresponding sensor; for example, the parameter acquisition unit 610 can convert an optical signal into an electrical signal related to the generator speed, thereby measuring the generator speed.

[0087] As an example, the parameter acquisition unit 610 can calculate the generator speed and generator torque based on the three-phase current and three-phase voltage on the generator side, and can also estimate the generator speed and generator torque through other parameters.

[0088] The torque demand acquisition unit 620 can obtain the generator torque demand value based on the generator speed.

[0089] The torque demand acquisition unit 620 can sequentially perform third-order low-pass filtering and FIR band-stop filtering on the generator speed to obtain the filtered generator speed.

[0090] The third-order low-pass filter and FIR band-stop filter performed by the torque demand acquisition unit 620 can be described as above, and will not be repeated here.

[0091] The torque demand acquisition unit 620 can further perform PI adjustment on the difference between the filtered generator speed and the generator speed reference value to obtain the generator torque demand value.

[0092] The torque demand acquisition unit 620 can also perform PI (proportional-integral) regulation on the difference between the generator speed and the generator speed reference value to obtain the pitch rate demand value. The pitch control system can then control the pitch system to adjust the output power of the wind turbine generator based on the obtained pitch rate demand value, thereby changing the output power of the wind turbine generator. The optimization unit 650 can be part of the pitch control system.

[0093] The first filtering unit 630 can perform low-pass filtering on the generator torque to obtain the filtered generator torque. The cutoff frequency of the low-pass filter can be determined based on the frequency of the vibration signal.

[0094] The first PI regulator 640 can perform PI regulation on the difference between the filtered generator torque and the generator torque demand value to obtain the demand torque change value.

[0095] The first PI regulator 640 can select different proportional-integral coefficients to perform PI regulation on the difference between the generator speed and the generator speed reference value according to the power range in which the generator output power is located, so as to obtain the generator torque demand value.

[0096] Therefore, the first PI regulator 640 can determine the PI parameter corresponding to the power range in which the output power of the wind turbine generator is located, and perform PI regulation on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameter, so that the change value of the demand torque is within a predetermined range.

[0097] In other words, the first PI regulator can select different PI parameters according to the different power ranges in which the generator output power is located, thereby determining different generator torque demand values.

[0098] The optimization unit 650 can control the converter of the wind turbine generator set based on the sum of the demand torque change value and the generator torque demand value to optimize the power curve of the wind turbine generator set.

[0099] Here, the optimization unit 650 can be a wind power converter controller, or it can be a part of the wind power converter controller. The optimization unit 650 can also be independent of the converter.

[0100] According to the embodiments of this disclosure, the power curve optimization device uses the generator torque and the generator torque demand value as inputs for torque closed-loop control, calculates the change value of the demand torque through PI, and superimposes the change value of the demand torque with the generator torque demand value to obtain a new torque demand value, which is then transmitted to the wind turbine converter system to execute the corresponding converter control, thereby optimizing the power curve of the wind turbine generator set.

[0101] According to various embodiments of this disclosure, an apparatus (e.g., a module, unit, or function thereof) or method may be implemented by a program or instructions stored in a computer-readable storage medium. When the instructions are executed by a processor, the processor may perform a function corresponding to the instructions or perform a method corresponding to the instructions. At least a portion of a module or unit may be implemented (e.g., executed) by a processor. At least a portion of a programming module may include modules, programs, routines, instruction sets, and procedures for performing at least one function. In one example, the instructions or software include machine code (such as machine code generated by a compiler) that is directly executed by one or more processors or computers. In another example, the instructions or software include higher-level code that is executed by one or more processors or computers using an interpreter. The instructions or software may be written using any programming language based on the block diagrams and flowcharts shown in the accompanying drawings and the corresponding description in the specification.

[0102] The modules, units, or programming modules disclosed herein may include at least one of the aforementioned components, with some components omitted or others added. The operations of the modules, programming modules, or other components may be executed sequentially, in parallel, cyclically, or probingly. Furthermore, some operations may be executed in a different order, may be omitted, or may be extended with other operations.

[0103] The computer-readable storage medium and / or power curve optimization device of exemplary embodiments of the present invention may be part of a wind turbine generator set, or part of a controller or control system, or part of a wind power converter or pitch control system.

[0104] For example, an exemplary embodiment of the present invention may provide a controller for a wind power converter, the controller including a processor (not shown) and a memory (not shown), wherein the memory stores a computer program that, when executed by the processor, implements the power curve optimization method as described in the exemplary embodiment above.

[0105] The power curve optimization method and power curve optimization apparatus according to embodiments of the present disclosure can optimize the power curve of a wind turbine generator set.

[0106] The power curve optimization method and power curve optimization device according to the embodiments of this disclosure can simultaneously measure impeller speed and torque, thereby optimizing the overall machine control scheme.

[0107] The power curve optimization method and power curve optimization device according to the embodiments of this disclosure can employ a third-order low-pass filter and an FIR filter to effectively attenuate and suppress individual key resonant frequencies during the operation of the whole machine, thereby preventing damage to major components of the whole machine.

[0108] The power curve optimization method and power curve optimization device according to the embodiments of this disclosure adopt a torque closed-loop control scheme, which can reduce the deviation between the generator torque reference value and the generator torque measurement value, and improve the power generation of the wind turbine generator set.

[0109] The power curve optimization method and power curve optimization apparatus according to embodiments of this disclosure can reduce vibrations that may occur randomly during the operation of the whole machine.

[0110] While some exemplary embodiments of the invention have been shown and described, those skilled in the art will understand that modifications can be made to these embodiments without departing from the principles and spirit of the invention as defined by the claims and their equivalents. For example, technical features of different embodiments can be combined.

Claims

1. A method for optimizing the power curve of a wind turbine generator set, characterized in that, include: Obtain the generator speed and generator torque of the wind turbine generator set; The generator torque requirement value is obtained based on the generator speed. The generator torque is low-pass filtered to obtain the filtered generator torque. PI regulation is applied to the difference between the filtered generator torque and the generator torque demand value to obtain the demand torque change value; A command corresponding to the sum of the required torque change value and the generator torque requirement value is sent to the converter of the wind turbine generator set to optimize the power curve of the wind turbine generator set. The cutoff frequency of the low-pass filter applied to the generator torque is determined based on the frequency of the vibration signal of the wind turbine generator set.

2. The power curve optimization method for wind turbine generator sets according to claim 1, characterized in that, The steps of performing PI regulation on the difference between the filtered generator torque and the generator torque demand value include: The PI parameter corresponding to the power range in which the output power of the wind turbine generator is located is determined, and PI adjustment is performed on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameter, so that the change value of the demand torque is within a predetermined range.

3. The power curve optimization method for wind turbine generator sets according to claim 2, characterized in that, The corresponding PI parameters are determined differently depending on the power range in which the output power of the wind turbine generator is located.

4. The method for optimizing the power curve of a wind turbine generator set according to any one of claims 1 to 3, characterized in that, The steps for obtaining the generator torque requirement value based on the generator speed include: The generator speed is filtered to obtain the filtered generator speed. PI regulation is applied to the difference between the filtered generator speed and the generator speed reference value to obtain the generator torque requirement value.

5. The power curve optimization method for wind turbine generator sets according to claim 4, characterized in that, The steps for filtering the generator speed include: The generator speed is sequentially subjected to a third-order low-pass filter and an FIR band-stop filter to obtain the filtered generator speed.

6. The power curve optimization method for wind turbine generator sets according to claim 1, characterized in that, The steps for obtaining the generator speed and generator torque of the wind turbine generator set include: Calculate the generator speed and generator torque based on the three-phase current and three-phase voltage on the generator side.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions or programs that, when executed by a processor, implement the power curve optimization method for wind turbine generator sets according to any one of claims 1 to 6.

8. A power curve optimization device for wind turbine generator sets, characterized in that, include: The parameter acquisition unit obtains the generator speed and generator torque of the wind turbine generator set; The torque demand value acquisition unit obtains the generator torque demand value based on the generator speed. The first filtering unit performs low-pass filtering on the generator torque to obtain the filtered generator torque. The first PI regulator performs PI regulation on the difference between the filtered generator torque and the generator torque demand value to obtain the demand torque change value. The optimization unit sends a command, consisting of the sum of the required torque change value and the generator torque requirement value, to the converter of the wind turbine generator set to optimize the power curve of the wind turbine generator set. The cutoff frequency of the low-pass filter applied to the generator torque is determined based on the frequency of the vibration signal of the wind turbine generator set.

9. The power curve optimization device for wind turbine generator sets according to claim 8, characterized in that, The first PI regulator is configured as follows: The PI parameter corresponding to the power range in which the output power of the wind turbine generator is located is determined, and PI adjustment is performed on the difference between the filtered generator torque and the generator torque demand value based on the determined PI parameter, so that the change value of the demand torque is within a predetermined range.

10. The power curve optimization device for wind turbine generator sets according to claim 8 or 9, characterized in that, The torque demand value acquisition unit is configured as follows: The generator speed is sequentially subjected to a third-order low-pass filter and an FIR band-stop filter to obtain the filtered generator speed. PI regulation is applied to the difference between the filtered generator speed and the generator speed reference value to obtain the generator torque requirement value.

11. A power curve optimization device for a wind turbine generator set, characterized in that, Includes the computer-readable storage medium according to claim 7.

12. A wind turbine generator set, characterized in that, It includes the power curve optimization device according to any one of claims 8 to 11 or the computer-readable storage medium according to claim 7.

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