CN110566404B - Power curve optimization device and method for wind generating set - Google Patents
Power curve optimization device and method for wind generating set Download PDFInfo
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- CN110566404B CN110566404B CN201910806655.0A CN201910806655A CN110566404B CN 110566404 B CN110566404 B CN 110566404B CN 201910806655 A CN201910806655 A CN 201910806655A CN 110566404 B CN110566404 B CN 110566404B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/10—Purpose of the control system
- F05B2270/103—Purpose of the control system to affect the output of the engine
- F05B2270/1033—Power (if explicitly mentioned)
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention provides a power curve optimization device and method for a wind generating set. The device comprises: a parameter determination unit configured to determine a current power curve optimization target value, a current optimized cut-in wind speed, and a current optimized cut-out wind speed of the wind turbine generator set; a supplementary condition determining unit configured to determine a supplementary condition of the wind turbine generator set based on the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed; a load evaluation unit configured to perform a load evaluation based on the determined supplementary operating conditions and determine whether a load evaluation result meets a design load requirement of the wind turbine generator set; a result output unit configured to boost an actual output power of the wind turbine generator set based on the power curve optimization target value within a wind speed segment between the optimized cut-in wind speed and the optimized cut-out wind speed when the load evaluation result satisfies a design load requirement of the wind turbine generator set.
Description
Technical Field
The present application relates generally to the field of wind power, and more particularly, to a power curve optimization apparatus and method for a wind turbine generator set.
Background
In order to optimize the power generation performance of a wind generating set and have strong field adaptability, the development of the wind generating set is currently carried out in a platformization mode, the same set platform hardware is matched with different towers, blade configurations and the like, and sometimes a generator with flexibly adjustable power is also configured, the final purpose of the differentiated design is to seek the lowest power consumption cost, so that the power generation performance needs to be improved to the maximum extent, and the method comprises the methods of optimizing cut-out wind speed, rated rotating speed, rated power, optimal pitch angle, wind deviation and the like. However, these methods are based on an approximation or modification of the standard power curve shape, maximizing the wind energy utilization before the rated wind speed, and keeping the rated power constant by the pitch control after the rated wind speed without changing the shape of the standard power curve.
In addition, a scheme of storm cut-out is further provided in the prior art, the scheme is a power optimization method for changing the power curve form, but the method is operated at a limited power within a certain wind speed range larger than the cut-out wind speed, and the operation load is guaranteed not to exceed the design load, so that the power generation is effectively carried out during the period of strong wind, and meanwhile, the unit availability is improved. However, this solution does not change the form of the power curve within the cut-out wind speed, i.e. it does not change the power curve within the wind speed range which is smaller than the cut-out wind speed.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a power curve optimization method based on load constraint, which can search a proper interval from a rated wind speed point to a cut-out wind speed point to change the power curve form based on the boundary of the load constraint, and improve the rated power in the interval, thereby realizing the maximization of the wind energy utilization rate.
According to an exemplary embodiment of the invention, a power curve optimization device for a wind park is provided, characterized in that the device comprises: a parameter determination unit configured to determine a current power curve optimization target value, a current optimized cut-in wind speed, and a current optimized cut-out wind speed of the wind turbine generator set, wherein the optimized cut-in wind speed is greater than a rated wind speed of the wind turbine generator set, and the optimized cut-out wind speed is less than a cut-out wind speed of the wind turbine generator set; a supplementary condition determining unit configured to determine a supplementary condition of the wind turbine generator set based on the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed; a load evaluation unit configured to perform a load evaluation based on the determined supplementary operating conditions and determine whether a load evaluation result meets a design load requirement of the wind turbine generator set; a result output unit configured to boost an actual output power of the wind turbine generator set based on the power curve optimization target value within a wind speed segment between the optimized cut-in wind speed and the optimized cut-out wind speed when a load evaluation result satisfies a design load requirement of the wind turbine generator set.
Optionally, when the load evaluation result does not meet the design load requirement of the wind turbine generator system, the parameter determination unit may adjust at least one of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result, and determine the adjusted power curve optimization target value, optimized cut-in wind speed, and optimized cut-out wind speed as the current power curve optimization target value, the current optimized cut-in wind speed, and the current optimized cut-out wind speed.
Optionally, the load evaluation may include: and evaluating the limit load and the fatigue load of the key position of the wind generating set.
Optionally, the extreme and fatigue loads for the critical position of the wind park may comprise at least one of: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
Alternatively, the parameter determination unit may determine an initial value of an optimized cut-in wind speed based on a rated wind speed of the wind turbine generator set, determine an initial value of an optimized cut-out wind speed based on a cut-out wind speed of the wind turbine generator set, and determine an initial value of a power curve optimized target value based on the initial value of the optimized cut-in wind speed, the initial value of the optimized cut-out wind speed, and a target annual energy production of the wind turbine generator set.
Optionally, the parameter determination unit may adjust at least one of the power curve optimized target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result based on at least one of: improving a power curve optimization target value corresponding to the load evaluation result; improving the optimized cut-in wind speed corresponding to the load evaluation result; and reducing the optimized cut-out wind speed corresponding to the load evaluation result.
Alternatively, if the design load requirement of the wind turbine generator set cannot be satisfied only by adjusting the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed, the target annual energy production of the wind turbine generator set is reduced, and the parameter determination unit may determine again the initial value of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed based on the reduced target annual energy production of the wind turbine generator set.
According to another exemplary embodiment of the invention, a method for power curve optimization for a wind park is provided, characterized in that the method comprises: determining a current power curve optimization target value, a current optimization cut-in wind speed and a current optimization cut-out wind speed of the wind generating set, wherein the optimization cut-in wind speed is greater than a rated wind speed of the wind generating set, and the optimization cut-out wind speed is less than the cut-out wind speed of the wind generating set; determining a supplementary working condition of the wind generating set based on the power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed; performing load evaluation based on the determined supplementary working condition, and determining whether the load evaluation result meets the design load requirement of the wind generating set; and when the load evaluation result meets the design load requirement of the wind generating set, the actual output power of the wind generating set is improved based on the power curve optimization target value in the wind speed section between the optimized cut-in wind speed and the optimized cut-out wind speed.
Optionally, the method may further comprise: and when the load evaluation result does not meet the design load requirement of the wind generating set, adjusting at least one of the power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed corresponding to the load evaluation result, and determining the adjusted power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed as the current power curve optimization target value, the current optimized cut-in wind speed and the current optimized cut-out wind speed.
Optionally, the load evaluation may include: and evaluating the limit load and the fatigue load of the key position of the wind generating set.
Optionally, the extreme and fatigue loads for the wind turbine generator set critical locations comprise at least one of: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
Alternatively, the initial value of the optimized cut-in wind speed may be determined based on a rated wind speed of the wind turbine generator set, the initial value of the optimized cut-out wind speed may be determined based on a cut-out wind speed of the wind turbine generator set, and the initial value of the power curve optimization target value may be determined based on the initial value of the optimized cut-in wind speed, the initial value of the optimized cut-out wind speed, and a target annual energy production of the wind turbine generator set.
Optionally, the step of adjusting at least one of the power curve optimized target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result may comprise at least one of: improving a power curve optimization target value corresponding to the load evaluation result; improving the optimized cut-in wind speed corresponding to the load evaluation result; and reducing the optimized cut-out wind speed corresponding to the load evaluation result.
Alternatively, if the design load requirement of the wind turbine generator set cannot be satisfied only by adjusting the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed, the target annual energy production of the wind turbine generator set may be reduced, and the initial value of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed may be determined again based on the reduced target annual energy production of the wind turbine generator set.
According to a further exemplary embodiment of the invention, a computer-readable storage medium is provided, in which a computer program is stored, which program may comprise instructions for carrying out the above-described power curve optimization method for a wind park.
According to a further exemplary embodiment of the invention, a computer arrangement is provided, comprising a readable medium having stored thereon a computer program, which may comprise instructions for executing the above-mentioned power curve optimization method for a wind park.
By applying the power curve optimization device and method for the wind generating set, the generating power between the rated wind speed section and the cut-out wind speed section of the wind generating set can be effectively improved, the power consumption cost is effectively reduced, the increase of fatigue load and limit load is small, and the cost increase of the wind generating set can be avoided on the basis of keeping the original design of the wind generating set.
Additional aspects and/or advantages of the present general inventive concept will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the general inventive concept.
Drawings
Fig. 1 is a block diagram illustrating a power curve optimization apparatus 100 for a wind park according to an exemplary embodiment of the present invention.
Fig. 2 is a diagram showing the form of a standard power curve of a wind turbine generator set.
Fig. 3 is a diagram illustrating a morphology of a power boost power curve according to an exemplary embodiment of the present invention.
Fig. 4 shows a graph comparing a standard power curve with a power boost power curve.
FIG. 5 shows an example of a result of a supplementary operating condition determination of a wind park according to an exemplary embodiment of the present invention.
FIG. 6 is a table showing blade root equivalent fatigue of a wind turbine generator set after power boost compared to load before power boost according to an exemplary embodiment of the present invention.
Fig. 7 is a flowchart illustrating a power curve optimization method for a wind park according to an exemplary embodiment of the present invention.
The present invention will hereinafter be described in detail with reference to the drawings, wherein like or similar elements are designated by like or similar reference numerals throughout.
Detailed Description
The following description is provided with reference to the accompanying drawings to assist in a comprehensive understanding of exemplary embodiments of the invention as defined by the claims and their equivalents. The description includes various specific details to aid understanding, but these details are to be regarded as illustrative only. Thus, one of ordinary skill in the art will recognize that: various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Moreover, descriptions of well-known functions and constructions may be omitted for clarity and conciseness.
Fig. 1 is a block diagram illustrating a power curve optimization apparatus 100 for a wind park according to an exemplary embodiment of the present invention. Fig. 2 is a diagram showing the form of a standard power curve of a wind turbine generator set. Fig. 3 shows a diagram of the morphology of the power boost power curve of a wind park according to an exemplary embodiment of the invention. In the graphs shown in fig. 2 and 3, the vertical axis represents power and the horizontal axis represents wind speed.
Referring to fig. 1, a power curve optimization apparatus 100 according to an exemplary embodiment of the present invention may include a parameter determination unit 110, a supplementary condition determination unit 120, a load evaluation unit 130, and a result output unit 140.
The parameter determination unit 110 may determine the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 of the wind park used in the current calculation. In an exemplary embodiment of the present invention, the optimized cut-in wind speed V1 refers to a power-up wind speed cut-in point corresponding to a lowest wind speed of a power curve-up wind speed segment section, and the optimized cut-in wind speed V1 may be set to be greater than a rated wind speed Vr of the wind turbine generator set, the optimized cut-out wind speed V1 refers to a power-up wind speed cut-out point corresponding to a highest wind speed of the power curve-up wind speed segment section, and the optimized cut-out wind speed V2 may be set to be less than a cut-out wind speed Vout of the wind turbine.
In an exemplary embodiment of the invention, the cut-in wind speed Vin of the wind turbine generator set refers to a minimum wind speed value at which the wind turbine generator set can operate for generating electricity. The rated wind speed Vr of the wind generating set refers to a corresponding current wind speed value when the power of the wind generating set reaches the rated power Pr, and the cut-out wind speed Vout of the wind generating set is a maximum wind speed value which guarantees safe load of the wind generating set and allows operation. For example, as shown in FIG. 2, in case of the standard power curve of FIG. 2, the rated wind speed Vr of the wind park may be 10m/s, the cut-out wind speed may be 25m/s, the cut-in wind speed may be 3m/s, and the rated power may be 850 kw.
For example only, the parameter determination unit 110 may determine an initial value of the optimized cut-in wind speed V1 based on a rated wind speed Vr of the wind park, an initial value of the optimized cut-out wind speed V2 based on a cut-out wind speed Vout of the wind park, and an initial value of the power curve optimized target value X based on the initial value of the optimized cut-in wind speed V1, the initial value of the optimized cut-out wind speed V2 and a target annual energy production of the wind park. For example, an initial optimized cut-in wind speed V1-Vr +3 may be set, and an initial optimized cut-out wind speed V2-Vout-5 may be set. Then, the parameter determination unit 110 may determine the initial value of the power curve optimization target value X in combination with the standard power curve of the wind turbine generator set, the wind speed wind frequency distribution, based on the initial value of the optimized cut-in wind speed V1, the initial value of the optimized cut-out wind speed V2, and the target annual energy generation amount of the wind turbine generator set.
For example, in the case of the standard power curve of fig. 2, it is assumed that the target annual energy production of the wind turbine generator set is increased by 1.2% on the basis of the annual energy production when the annual average wind speed is 6m/s, and the power curve optimization target value is the rated power increase width. At this time, the parameter determining unit 110 may determine that V1 is 13, V2 is 20, and X is 12%, and the rated power after boosting is Pr (1+ X), and the corresponding power increase curve is as shown in fig. 3.
Alternatively, although in the exemplary embodiment of the present invention, the power curve optimization target value X is described as an example where the rated power boost amplitude is used, the present invention is not limited thereto, and the power curve optimization target value X may also be set as an internal rate of return or a power consumption cost, in which case, the corresponding output power may be calculated by an existing economic model, and then the calculated output power may be used as the final optimized actual output power.
Referring back to fig. 1, the supplementary condition determination unit 120 may determine a supplementary condition of the wind turbine generator set based on the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 output by the parameter determination unit 110.
According to an exemplary embodiment of the invention, given an optimized cut-in wind speed V1, an optimized cut-out wind speed V2, and a power curve optimization target value X, it needs to be verified whether boosting the actual output power of the wind park based on the power curve optimization target value X within a wind speed segment between the optimized cut-in wind speed V1 and the optimized cut-out wind speed V2 would bring the fatigue load out of the design load range or the limit load out of the design load range. For this reason, in addition to the original operating conditions used in consideration of the standard power curve, other operating conditions need to be considered and added for the optimized cut-in wind speed V1, the optimized cut-out wind speed V2, and the power curve optimization target value X determined by the parameter determination unit 110. In an exemplary embodiment of the present invention, supplementary conditions may be added for the optimized cut-in wind speed V1, the optimized cut-out wind speed V2, and the power curve optimized target value X determined by the parameter determination unit 110 with reference to GL and IEC specifications, and the conditions requiring the supplementary may include at least one of the following for the GL specification: DLC12, DLC13, DLC15, DLC16, DLC17, DLC18, DLC19, DLC21, DLC22, DLC23, DLC31, DLC41, DLC42, DLC 51; for the IEC specification, the conditions that require replenishment may include at least one of: DLC12, DLC13, DLC14, DLC15, DLC21, DLC22, DLC23, DLC24, DLC31, DLC41, DLC42, DLC 51.
FIG. 5 shows an example of a result of a supplementary operating condition determination of a wind park according to an exemplary embodiment of the present invention.
As shown in FIG. 5, the additional operating conditions to be determined may be designed with reference to GL specifications, such as DLC12, the operating condition power to be determined additionally is 952KW, and the cut-in wind speeds include 13m/s, 15m/s, 17m/s, 19m/s and 20 m/s.
The load evaluation unit 130 may perform a load evaluation based on the determined supplementary operating conditions and determine whether the load evaluation result meets the design load requirement of the wind turbine generator set.
Optionally, the ultimate load and fatigue load of the wind generating set key position can be extracted for evaluation, and the ultimate load and fatigue load for the wind generating set key position can include at least one of the following: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
Alternatively, whether the load evaluation result meets the design load requirement of the wind turbine generator set may be determined based on a comparison of the extracted load and the design load of the wind turbine generator set, or a strength check evaluation (e.g., a check of bolt strength, main drive system, yaw pitch system) may be performed based on the extracted load to determine whether the extracted load can guarantee the safety of the wind turbine generator set, thereby determining whether the load evaluation result meets the design load requirement of the wind turbine generator set.
In the embodiment of the present invention, the load estimation unit 130 may perform load estimation using blanked software, however, the present invention is not limited thereto, and may also perform load estimation using other dynamic simulation software, for example, Hawc 2/Simpack/Fast.
By way of example only, fig. 6 shows a graph comparing the load after power boost and before power boost for equivalent fatigue of the blade root of a wind park according to an exemplary embodiment of the invention. As shown in fig. 6, it can be seen that in the exemplary embodiment of the present invention, the increase in power has little increase in the blade root equivalent fatigue load, and the increased equivalent fatigue is substantially within the design load range, thus meeting the design load requirements of the wind turbine generator set.
When the load evaluation result of the load evaluation unit 130 meets the design load requirement of the wind park, the result output unit 140 may boost the actual output power of the wind park based on the power curve optimization target value X within the wind speed segment between the optimized cut-in wind speed V1 and the optimized cut-out wind speed V2.
By way of example only, fig. 4 shows a graph of a standard power curve versus a power boost power curve. As can be seen from fig. 4, compared with the standard power curve in the shape like the Chinese character 'ji' of the existing design, the power of the power increasing power curve is effectively increased in a section between the rated wind speed and the cut-out wind speed of the wind turbine generator set (i.e., a wind speed section between the optimized cut-in wind speed V1 and the optimized cut-out wind speed V2).
When the load evaluation result does not satisfy the design load requirement of the wind turbine generator set, the parameter determination unit 110 may adjust at least one of the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 corresponding to the load evaluation result, and use the adjusted power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 as the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 used in the next calculation.
In an example embodiment of the invention, the parameter determination unit 110 may adjust at least one of the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 corresponding to the load evaluation result based on at least one of: improving a power curve optimization target value X corresponding to the load evaluation result; improving the optimized cut-in wind speed V1 corresponding to the load evaluation result; and reducing the optimized cut-out wind speed V2 corresponding to the load evaluation result.
More specifically, as just one exemplary adjustment method, when the load evaluation result does not satisfy the design load requirement of the wind turbine generator set, the parameter determination unit 110 may first adjust the power curve optimization target value X, increasing X from the initial value of the power curve optimization target value X, while keeping the optimized cut-in wind speed V1 and the optimized cut-out wind speed V2 unchanged. If the design load requirements of the wind turbine generator set cannot be met by adjusting the power curve optimization target value X alone, the optimized cut-in wind speed V1 may be further adjusted (i.e., both the power curve optimization target value X and the optimized cut-in wind speed V1 may be adjusted at this time), and V1 may be gradually increased from the initial value of the optimized cut-in wind speed V1 while keeping the optimized cut-out wind speed V2 unchanged. Further, if the design load requirement of the wind turbine generator set is still not satisfied by adjusting both the power curve optimized target value X and the optimized cut-in wind speed V1, the optimized cut-out wind speed V2 (i.e., the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 may be adjusted at this time) may be further adjusted, and V2 may be gradually reduced from the initial value of the optimized cut-out wind speed V2.
Furthermore, in the exemplary embodiment of the present invention, if the design load requirements of the wind park cannot be met by adjusting only the power curve optimization target value X, the optimization cut-in wind speed V1 and the optimization cut-out wind speed V2, the target annual energy production of the wind power plant may be reduced, e.g., the energy production boost target is reduced from 1.2% to 1%, then, the parameter determination unit 110 may determine the initial value of the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 again based on the reduced target annual power generation amount of the wind turbine generator set, as the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 to be used for the next calculation, and repeat the above processes until the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 that completely meet the design load requirement are determined.
Furthermore, the method is simple. Although in the exemplary embodiment of the present invention, the evaluation result is determined with the above-described load as the load constraint, the present invention is not limited thereto, and the wind turbine generator set strength evaluation may be directly performed, and the final power curve optimized target value X, optimized cut-in wind speed V1, and optimized cut-out wind speed V2 may be determined with the strength evaluation result as the constraint.
Fig. 7 is a flowchart illustrating a power curve optimization method for a wind park according to an exemplary embodiment of the present invention.
Referring to FIG. 7, in step 710, a power curve optimized target value X, a current optimized cut-in wind speed V1 and a current optimized cut-out wind speed V2 for use in a current calculation of the wind park may be determined by the parameter determination unit 110, wherein the optimized cut-in wind speed V1 is greater than a rated wind speed Vr of the wind park and the optimized cut-out wind speed V2 is less than a cut-out wind speed Vout of the wind park.
Alternatively, at the beginning of step 710, the parameter determination unit 110 may determine an initial value of the optimized cut-in wind speed V1 based on the rated wind speed Vr of the wind park, determine an initial value of the optimized cut-out wind speed V2 based on the cut-out wind speed Vout of the wind park, and determine an initial value of the power curve optimized target value X based on the initial value of the optimized cut-in wind speed V1, the initial value of the optimized cut-out wind speed V2 and the target annual energy production of the wind park.
At step 720, supplementary operating conditions of the wind park may be determined by the supplementary operating condition determination unit 120 based on the power curve optimized target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 determined at step 710.
At step 730, a load assessment may be performed by the load assessment unit 130 based on the supplementary operating conditions determined at step 720, and it is determined whether the load assessment results meet the design load requirements of the wind turbine generator set.
Optionally, the load assessment may comprise an assessment of limit loads and fatigue loads for critical positions of said wind park, and the limit loads and fatigue loads for critical positions of the wind park may comprise at least one of: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
If it is determined at step 730 that the load assessment result meets the design load requirement of the wind park, at step 740, the result output unit 140 may boost the actual output power of the wind park based on the power curve optimization target value within the wind speed segment between the optimized cut-in wind speed V1 and the optimized cut-out wind speed V2.
If it is determined in step 730 that the load evaluation result does not satisfy the design load requirement of the wind turbine generator set, the method returns to step 710, and at least one of the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 corresponding to the load evaluation result is adjusted by the parameter determination unit 110, and the adjusted power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 are determined as the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 to be used for the next calculation.
Alternatively, the parameter determination unit 110 may adjust at least one of the adjusted power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 corresponding to the load evaluation result based on at least one of: improving a power curve optimization target value X corresponding to the load evaluation result; improving the optimized cut-in wind speed V1 corresponding to the load evaluation result; and reducing the optimized cut-out wind speed V2 corresponding to the load evaluation result.
Alternatively, if the design load requirement of the wind turbine generator set cannot be satisfied only by adjusting the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2, the target annual energy production of the wind turbine generator set may be reduced, and the parameter determination unit 110 may determine the initial value of the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 again based on the reduced target annual energy production of the wind turbine generator set, and determine them as the power curve optimization target value X, the optimized cut-in wind speed V1, and the optimized cut-out wind speed V2 to be used for the next calculation.
The specific adjustment process of the parameter determination unit 110 has been described in detail above with reference to fig. 1, and thus will not be described in more detail herein for the sake of brevity.
By applying the power curve optimization device and method for the wind generating set according to the embodiment of the invention, the generating power from the rated wind speed section to the cut-out wind speed section of the wind generating set can be effectively improved, the power consumption cost is effectively reduced, the increase of the fatigue load and the limit load is small, and the cost increase of the wind generating set can be avoided on the basis of keeping the original design of the wind generating set.
The above-described methods and/or operations may be recorded, stored, or fixed in one or more computer-readable storage media that include program instructions to be executed by a computer to cause a processor to execute or perform the program instructions. The media may also include program instructions, data files, data structures, etc. alone or in combination with the program instructions. Examples of the computer readable storage medium include magnetic media (e.g., hard disks, floppy disks, and magnetic tape), optical media (e.g., CD ROM disks and DVDs), magneto-optical media (e.g., optical disks), and hardware devices (e.g., Read Only Memories (ROMs), Random Access Memories (RAMs), flash memories, etc.) specially configured to store and execute program instructions. Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter. The described hardware devices may be configured to act as one or more software elements to perform the operations and methods described above, and vice versa. Furthermore, the computer readable storage medium can be distributed over network coupled computer systems and the computer readable code or program instructions can be stored and executed in a distributed fashion.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims.
Claims (16)
1. A power curve optimization device for a wind power plant, characterized in that it comprises:
a parameter determination unit configured to determine a current power curve optimization target value, a current optimized cut-in wind speed, and a current optimized cut-out wind speed of the wind turbine generator set, wherein the optimized cut-in wind speed is greater than a rated wind speed of the wind turbine generator set, and the optimized cut-out wind speed is less than a cut-out wind speed of the wind turbine generator set;
a supplementary condition determining unit configured to determine a supplementary condition of the wind turbine generator set based on the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed;
a load evaluation unit configured to perform a load evaluation based on the determined supplementary operating conditions and determine whether a load evaluation result meets a design load requirement of the wind turbine generator set;
a result output unit configured to boost an actual output power of the wind turbine generator set based on the power curve optimization target value within a wind speed segment between the optimized cut-in wind speed and the optimized cut-out wind speed when a load evaluation result satisfies a design load requirement of the wind turbine generator set.
2. The power curve optimization device according to claim 1, wherein when the load evaluation result does not satisfy the design load requirement of the wind turbine generator set, the parameter determination unit adjusts at least one of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result, and determines the adjusted power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed as the current power curve optimization target value, the current optimized cut-in wind speed, and the current optimized cut-out wind speed.
3. The power curve optimization device of claim 1, wherein the load estimation comprises: and evaluating the limit load and the fatigue load of the key position of the wind generating set.
4. A power curve optimization device according to claim 3, characterized in that the extreme and fatigue loads for critical positions of the wind park comprise at least one of: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
5. The power curve optimization device of claim 1, wherein the parameter determination unit determines an initial value of an optimized cut-in wind speed based on a rated wind speed of the wind turbine generator set, determines an initial value of an optimized cut-out wind speed based on a cut-out wind speed of the wind turbine generator set, and determines an initial value of a power curve optimization target value based on the initial value of the optimized cut-in wind speed, the initial value of the optimized cut-out wind speed, and a target annual energy generation amount of the wind turbine generator set.
6. The power curve optimization device according to claim 2, wherein the parameter determination unit adjusts at least one of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result based on at least one of:
improving a power curve optimization target value corresponding to the load evaluation result;
improving the optimized cut-in wind speed corresponding to the load evaluation result; and
the optimized cut-out wind speed corresponding to the load evaluation result is reduced.
7. The power curve optimization device according to claim 6, wherein if the design load requirement of the wind turbine generator set cannot be satisfied only by adjusting the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed, the target annual energy generation amount of the wind turbine generator set is reduced, and the parameter determination unit determines again the initial value of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed based on the reduced target annual energy generation amount of the wind turbine generator set.
8. A method for power curve optimization for a wind power plant, the method comprising:
determining a current power curve optimization target value, a current optimization cut-in wind speed and a current optimization cut-out wind speed of the wind generating set, wherein the optimization cut-in wind speed is greater than a rated wind speed of the wind generating set, and the optimization cut-out wind speed is less than the cut-out wind speed of the wind generating set;
determining a supplementary working condition of the wind generating set based on the power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed;
performing load evaluation based on the determined supplementary working condition, and determining whether the load evaluation result meets the design load requirement of the wind generating set;
and when the load evaluation result meets the design load requirement of the wind generating set, the actual output power of the wind generating set is improved based on the power curve optimization target value in the wind speed section between the optimized cut-in wind speed and the optimized cut-out wind speed.
9. The power curve optimization method of claim 8, further comprising: and when the load evaluation result does not meet the design load requirement of the wind generating set, adjusting at least one of the power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed corresponding to the load evaluation result, and determining the adjusted power curve optimization target value, the optimized cut-in wind speed and the optimized cut-out wind speed as the current power curve optimization target value, the current optimized cut-in wind speed and the current optimized cut-out wind speed.
10. The power curve optimization method of claim 8, wherein the load estimation comprises: and evaluating the limit load and the fatigue load of the key position of the wind generating set.
11. The method of claim 10, wherein the extreme and fatigue loads for the wind turbine generator set critical locations include at least one of: blade root limit load and fatigue load, hub limit load and fatigue load, yaw limit load and fatigue load, tower section limit load and fatigue load, and blade section limit load and fatigue load.
12. The power curve optimization method of claim 8, wherein an initial value of an optimized cut-in wind speed is determined based on a rated wind speed of the wind turbine generator set, an initial value of an optimized cut-out wind speed is determined based on a cut-out wind speed of the wind turbine generator set, and an initial value of a power curve optimization target value is determined based on the initial value of the optimized cut-in wind speed, the initial value of the optimized cut-out wind speed, and a target annual energy production of the wind turbine generator set.
13. The power curve optimization method of claim 9, wherein the step of adjusting at least one of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed corresponding to the load evaluation result comprises at least one of:
improving a power curve optimization target value corresponding to the load evaluation result;
improving the optimized cut-in wind speed corresponding to the load evaluation result; and
the optimized cut-out wind speed corresponding to the load evaluation result is reduced.
14. The power curve optimization method according to claim 13, wherein if the design load requirement of the wind turbine generator set cannot be satisfied only by adjusting the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed, the target annual energy generation amount of the wind turbine generator set is reduced, and the parameter determination unit determines again the initial value of the power curve optimization target value, the optimized cut-in wind speed, and the optimized cut-out wind speed based on the reduced target annual energy generation amount of the wind turbine generator set.
15. A computer-readable storage medium storing a computer program, characterized in that the computer program comprises instructions for performing the method according to any of claims 8-14.
16. A computer device comprising a readable medium having a computer program stored thereon, wherein the computer program comprises instructions for performing the method of any one of claims 8-14.
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| CN113153637B (en) * | 2021-04-28 | 2023-04-07 | 中车株洲电力机车研究所有限公司 | Flexible expansion control method and system for cut-out wind speed of megawatt wind turbine generator |
| CN113591359B (en) * | 2021-08-17 | 2023-11-17 | 华能华家岭风力发电有限公司 | Wind turbine generator set cut-in/cut-out wind speed adjusting and optimizing method, system and equipment medium |
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