CN114542378B - Method for dynamically calculating optimal minimum pitch angle of wind generating set - Google Patents
Method for dynamically calculating optimal minimum pitch angle of wind generating set Download PDFInfo
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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
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/022—Adjusting aerodynamic properties of the blades
- F03D7/0224—Adjusting blade pitch
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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
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
- F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
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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
- F05B2270/30—Control parameters, e.g. input parameters
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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
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/32—Wind speeds
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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
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/321—Wind directions
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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
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/327—Rotor or generator speeds
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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
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/328—Blade pitch angle
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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
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/335—Output power or torque
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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
- F05B2270/70—Type of control algorithm
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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
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Abstract
The invention discloses a method for dynamically calculating the optimal minimum paddle angle of a wind generating set, which comprises the following steps of 1: when the unit is in the optimal tip speed ratio control stage, adjusting the minimum pitch angle value for multiple times, and synchronously acquiring relevant parameters of the adjusted fan; step 2: determining the optimizing range of the minimum pitch angle through a blanked simulation model and a grid search method; and 3, step 3: sequentially changing the minimum paddle angle in the optimizing range, and calculating the wind energy utilization efficiency of the wind generating set; and 4, step 4: and (4) searching through an annealing algorithm and searching peaks through smooth interpolation of a trend surface according to the multiple wind energy utilization efficiencies obtained through calculation in the step (3) to obtain the optimal minimum pitch angle of the wind generating set. By adopting the method for dynamically calculating the optimal minimum paddle angle of the wind generating set, the optimal minimum paddle angle can be found, the wind energy can be captured maximally, and more generated energy can be obtained.
Description
Technical Field
The invention relates to a method for dynamically calculating an optimal minimum paddle angle of a wind generating set, and belongs to the technical field of wind power generation measurement and control.
Background
Wind power, which is a renewable energy source, is now becoming the most competitive new energy technology in the world today. Wind energy is a form of conversion of solar energy, and about 2% of the solar radiation energy received by the earth is converted into wind energy. It is estimated that the total amount of wind energy worldwide is 2.74 trillion kilowatts, with approximately 200 billion kilowatts being available. The energy source is a huge potential energy treasury, and is a new energy which is inexhaustible and has not been vigorously developed and utilized. According to calculation, the total amount of wind energy resources in China is about 16 hundred million kilowatts per year, wherein the total amount of wind energy resources in China can be about 1.6 hundred million kilowatts per year, and China is seriously lack of electricity in coastal islands in the southeast, pasturing areas in the northwest and mountainous areas in the southwest, but the wind energy resources are large, so that the excellent condition of developing wind power generation is provided. Therefore, the wind energy is developed and utilized according to local conditions in China, so that the energy can be expanded, the power utilization requirements of remote areas can be met, and the method has practical significance.
With the development of industrial technologies, wind power industry manufacturers are also paying more and more attention to how to realize efficient power generation through wind generating sets. The variable-speed variable-pitch wind generating set has the advantages of high generating capacity, small load, high power quality and the like, and becomes a mainstream machine type at home and abroad. In a low wind speed section, the variable-speed variable-pitch wind driven generator enables the wind wheel to operate according to the optimal tip speed ratio by adjusting the torque of the generator, and tracks the optimal wind energy utilization efficiency. In the whole power generation promoting stage, the wind driven generator needs to be driven to the optimal minimum paddle angle according to the current wind condition and the current state of the fan, so that the optimal wind energy utilization efficiency is obtained, and the generating capacity of the unit is improved.
At present, the optimal pitch angle of the whole wind power plant of the wind turbine generator is manually set by a parameter setting method, and is always fixed and unchangeable, so that dynamic correction cannot be completed. The wind generating set has a service life of 20 years, the performance of the wind generating set is changed to different degrees along with the operation of the set, and the generating performance of each set is different. The optimal minimum paddle angle is dynamically optimized, data of each set are analyzed independently, and the data are dynamically corrected in real time according to the data of the sets, so that the optimal power generation performance of each set is achieved, and the optimal power generation of the whole wind power plant is guaranteed.
In the prior art, when the optimal minimum paddle angle is optimized, the optimizing process is complex and needs longer optimizing time, so that the generating capacity loss of a unit is large in the optimizing process; and the wind energy utilization efficiency obtained by single parameter adjustment calculation has randomness, and the optimization in the prior art is influenced by data randomness.
Disclosure of Invention
The invention aims to: aiming at the existing problems, the invention provides a method for dynamically calculating the optimal minimum paddle angle of the wind generating set, and the method can find the optimal minimum paddle angle, capture wind energy to the maximum and win more generated energy.
The technical scheme adopted by the invention is as follows:
a method for dynamically calculating the optimal minimum paddle angle of a wind generating set comprises the following steps:
step 1: when the unit is in the optimal tip speed ratio control stage, adjusting the minimum pitch angle value for multiple times, and synchronously acquiring relevant parameters of the adjusted fan;
step 2: determining the optimizing range of the minimum pitch angle through a blanked simulation model and a grid search method;
and step 3: sequentially changing the minimum paddle angle in the optimizing range, and calculating the wind energy utilization efficiency of the wind generating set;
and 4, step 4: and (4) searching through an annealing algorithm according to the multiple wind energy utilization efficiencies obtained through calculation in the step (3) and searching peaks through smooth interpolation of the trend surface to obtain the optimal minimum paddle angle of the wind generating set.
The mechanical power captured by the fan from the wind speed satisfies the following formula:
wherein, Pm: optimal power generation capacity; ρ: the density of the air; r: half radius of wind wheel; v: wind wheel rotation angular velocity; λ: an optimal tip speed ratio; cp: the optimal wind energy utilization efficiency; beta: the pitch angle.
From the above equations, it can be seen that the optimum wind energy utilization efficiency is a function of the optimum tip speed ratio and pitch angle; in order to obtain the optimal power generation, the blades are driven to the optimal minimum blade angle in the optimal blade tip speed ratio control stage so as to obtain the optimal wind energy utilization efficiency.
In the invention, the optimal tip speed ratio control stage can be searched by the wind driven generator power generation principle and the tip speed ratio calculation formula. Because the influence of the minimum pitch angle on the wind energy utilization efficiency of the wind generating set is a convex function, the analysis result fluctuates in consideration of the influence of factors such as measurement and the like, the minimum pitch angle value needs to be adjusted for multiple times, the wind energy utilization efficiency is analyzed, the optimal point of the convex function is found according to the distribution relation of scattered points through a Bladed simulation model, and the optimization range of the minimum pitch angle is determined through a grid search method; and searching by an annealing algorithm in the optimizing range and searching peaks through smooth interpolation of the trend surface to obtain the optimal minimum paddle angle of the wind generating set.
It should be noted that, due to the operational fluctuation of the wind generating set, the wind energy utilization efficiency obtained by single parameter adjustment calculation has certain randomness, so that the optimal minimum pitch angle cannot be obtained by a simple ratio; and the control logic of the wind turbine generator is relatively complex, the minimum pitch angle relates to the opening angle of the fan, and once the minimum pitch angle exceeds the limit, the blade can be caused to operate at an over-speed when the wind speed is relatively high, so that the blade flies.
Preferably, in step 1, according to the acquisition frequency of 8 milliseconds to 12 milliseconds, the acquired relevant parameters include: the method comprises the steps of wind direction, wind speed, main state of a fan, rotating speed, power, actual blade angle blades 1, actual blade angle blades 2, actual blade angle blades 3, power limiting state, power curve sampling identification of whether current power enters power curve or not and air density.
Preferably, in step 2, an optimal minimum pitch angle value is obtained according to the Bladed simulation model, and a grid search method is used for searching around an angle of 2-4 degrees of the minimum pitch angle value to obtain a scatter point with convex function trend.
Preferably, the grid search method searches in steps of 0.08 ° -0.12 °.
Preferably, the optimum range for minimum pitch angle is the portion between the trend peak with convex function trend scatter to the Bladed simulated optimum.
Preferably, in step 3, whether the minimum pitch angles of all the fans of the whole wind power plant are 0 degree or not is searched, if not, an instruction is sent to change the minimum pitch angle of the main control system through the front-end system and the private protocol encryption channel, and the minimum pitch angles of the whole wind power plant are all 0 degree.
Preferably, in step 3, the minimum pitch angle of the master control system is changed in sequence according to a fixed step length.
Preferably, in the step 3, the minimum pitch angle deviation value of the main control system is sequentially changed according to the step length of 0.03-0.07 degrees, and the minimum pitch angle of the wind generating set is changed through an internal algorithm of the main control system.
Preferably, the related data are synchronously recorded in real time every time the minimum paddle angle deviation value is changed, and the synchronous storage quantity of each group of data is more than 600 ten thousand; and through data screening, continuous data of 8-12 minutes are guaranteed, and the wind energy utilization efficiency of 8-12 minutes is synchronously calculated.
Preferably, the relevant data includes: the method comprises the steps of wind direction, wind speed, main state of a fan, rotating speed, power, actual pitch angle blades 1, actual pitch angle blades 2, actual pitch angle blades 3, power limiting state, power curve sampling identification of whether current power enters a power curve or not and air density.
Preferably, the step length for changing the minimum pitch angle in step 3 is smaller than the search step length of the grid search method in step 2.
In the above scheme, the optimization range is located first by using a larger step value in step 2, and the fine search is performed by using a smaller step value in step 3, so that the duration of the whole optimization process can be reduced.
Preferably, in step 4, a plurality of wind energy utilization efficiencies are calculated according to step 3, and the maximum wind energy utilization efficiency under the same optimal minimum paddle angle is searched through data screening.
Preferably, in the step 4, the hill climbing algorithm is utilized to find the maximum wind energy utilization efficiency of 8-12 minutes with different minimum paddle angles, and an optimal solution is found; and searching through an annealing algorithm and seeking a peak through smooth interpolation of a trend surface to find an optimal wind energy utilization efficiency and find a corresponding optimal minimum paddle angle.
In the scheme, the annealing algorithm has the advantages that the annealing algorithm can repeatedly search under a certain probability, and finally the position of the peak value is obtained according to the distribution of the search points; the hill climbing algorithm is used before the annealing algorithm to approach the peak value more quickly, the searching times of the annealing algorithm are reduced, and the duration time of the whole optimizing process can be reduced.
Preferably, according to the result of the step 4, the main control system of the wind generating set optimizes the optimal minimum pitch angle through parameter revision.
Preferably, the optimal minimum pitch angle in the step 4 is found through a closed-loop link of a main control system, and is transmitted to a parameter input end of a control system of the wind generating set through a private protocol and encryption by a front-end system of a fan; the wind generating set master control system integrates the current wind generating set state data, completes parameter revision, and optimizes the optimal minimum paddle angle, so that wind energy is captured maximally, and more generated energy is won.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the optimal minimum paddle angle can be found accurately without being influenced by data randomness;
2. the duration of the whole optimizing process is short, and the generated energy loss of the unit in the process is reduced.
Drawings
The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a diagram of the method steps of the present invention;
FIG. 2 is a graph of wind turbine generator set speed-torque relationship;
FIG. 3 is a logic diagram of the method of the present invention;
FIG. 4 is a graph of wind energy utilization efficiency and tip speed ratio of a wind generating set.
Detailed Description
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
Any feature disclosed in this specification may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
As shown in fig. 1, a method for dynamically calculating an optimal minimum pitch angle of a wind turbine generator system according to the embodiment includes the following steps:
step 1: when the unit is in the optimal tip speed ratio control stage, the minimum pitch angle value is adjusted for multiple times, and the wind direction, the wind speed, the main state of the fan, the rotating speed, the power, the actual pitch angle blade 1, the actual pitch angle blade 2, the actual pitch angle blade 3, the power limiting state, whether the current power enters a power curve sampling identifier or not and the air density are synchronously acquired according to the acquisition frequency of 10 milliseconds;
step 2: according to the data in the step 1, obtaining an optimal minimum paddle angle value through a Bladed simulation model during the design of the wind driven generator set, searching in a step length of 0.1 degrees by a grid search method near an angle of 3 degrees of the minimum paddle angle value to obtain scattered points with convex function trend, and taking a part between a trend peak value of the scattered points with the convex function trend and the Bladed simulation optimal value as an optimization range of the minimum paddle angle;
and step 3: in the optimization range, sequentially changing the minimum pitch angle deviation value of the main control system according to the step length of 0.05 degrees through the front system, and finally changing the minimum pitch angle of the wind turbine generator through an internal algorithm of the main control system; the method comprises the steps that every time the minimum pitch angle deviation value is changed, related data need to be synchronously recorded in real time, according to the acquisition frequency of 10 milliseconds, the wind direction, the wind speed, the main state of a fan, the rotating speed, the power, an actual pitch angle blade 1, an actual pitch angle blade 2, an actual pitch angle blade 3, the power limiting state and whether the current power enters a power curve sampling identifier or not and the air density are synchronously acquired, and the number of synchronously stored data in each group is at least more than 600 thousands; through data screening, 10-minute continuous data are guaranteed, and 10-minute wind energy utilization efficiency is synchronously calculated;
and 4, step 4: searching the maximum wind energy utilization efficiency under the same optimal minimum paddle angle through data screening according to the plurality of wind energy utilization efficiencies obtained through calculation in the step 3; searching the 10-minute maximum wind energy utilization efficiency of different minimum paddle angles by using a hill climbing algorithm, and finding an optimal solution; searching through an annealing algorithm and finding a peak through smooth interpolation of a trend surface to find an optimal wind energy utilization efficiency and find a corresponding optimal minimum paddle angle;
finally, finding the optimal minimum pitch angle in the step 4 through a main control system closed loop link, and transmitting the optimal minimum pitch angle to a parameter input end of a control system of the wind generating set through a wind turbine end front-end system through a private protocol and encryption; the wind generating set master control system integrates the current wind generating set state data, completes parameter revision, and optimizes the optimal minimum paddle angle, so that wind energy is captured maximally, and more generated energy is won.
In the embodiment, because the influence of the minimum pitch angle on the wind energy utilization efficiency of the wind generating set is a convex function, the analysis result fluctuates in consideration of the influence of factors such as measurement and the like, the minimum pitch angle value needs to be adjusted for multiple times, the wind energy utilization efficiency is analyzed, the optimal point of the convex function is found according to the distribution relation of scattered points through a Bladed simulation model, and the optimization range of the minimum pitch angle is determined through a grid search method; searching through a hill climbing algorithm and an annealing algorithm in an optimizing range and performing smooth interpolation peak searching through a trend surface to obtain the optimal minimum paddle angle of the wind generating set; the optimal minimum paddle angle optimized by the main control system enables the wind energy utilization efficiency of the wind generating set in the optimal tip speed ratio control stage to be optimal, so that the wind energy is captured to the maximum, and more generated energy is obtained.
According to the method, the optimal minimum pitch angle of the wind generating set can be accurately found through a method for dynamically calculating the optimal minimum pitch angle of the wind generating set, and the optimal minimum pitch angle is not influenced by data randomness; the duration of the whole optimizing process is short, and the generated energy loss of the unit in the process is reduced.
As an optional way of the above embodiment, in other embodiments, in step 3, it is searched whether the minimum pitch angles of all the wind turbines of the full wind farm are 0 °, and if not, an instruction is sent to change the minimum pitch angle of the main control system through the front-end system and the private protocol encryption channel, so as to ensure that the minimum pitch angles of all the wind turbines of the full wind farm are 0 °.
Fig. 2 is a diagram of the speed-torque relationship of the wind turbine generator system, and it can be seen that the whole operation control process of the wind turbine generator system can be divided into 4 stages according to the rotating speed of the generator. When the rotating speed of the wind driven generator is less than S1In the past, the wind driven generator has no power output, and when the wind speed is higher than the cut-in wind speed, the wind driven generator is connected to the grid. The AB section is a constant rotating speed section, and the torque of the wind driven generator is increased along with the increase of the wind speed; the BC section is an optimal control stage, at the moment, the wind turbine runs at the optimal tip speed ratio, and the maximum power point is tracked (the stage is the dynamic control stage of the invention); the CD section is a rotating speed constant area, and in the area, the maximum wind energy tracking is not carried out, but the rotating speed of the unit is limited within an allowable rotating speed range; the DE section is a constant power zone, and as wind speed increases, the pitch angle is controlled to maintain a constant power output in order to protect the unit from damage.
FIG. 3 is a logic diagram of the method, which includes firstly calibrating a wind measuring device by using a laser radar, starting a unit after calibration is completed, determining an optimization range by using an optimization algorithm when the unit is in an optimal tip speed ratio control stage, acquiring relevant data every 10ms in the optimization range, synchronously calculating the wind energy utilization efficiency for 10 minutes, then finding a corresponding optimal minimum pitch angle by using a hill climbing algorithm and an annealing algorithm, and finally setting parameters by using a main control system.
Fig. 4 is a graph of the wind energy utilization efficiency and the tip speed ratio of the wind turbine generator system, and it can be seen that for any tip speed ratio λ, when the pitch angle β =0, the wind energy utilization coefficient is relatively maximum, and as the β value increases, the wind energy utilization coefficient continuously decreases. Therefore, when the wind speed is higher than the rated wind speed, the output power of the wind driven generator can be changed by adjusting the pitch angle, so that the output power is stabilized to be close to the rated power.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed.
Claims (8)
1. A method for dynamically calculating the optimal minimum paddle angle of a wind generating set is characterized by comprising the following steps: the method comprises the following steps:
step 1: when the unit is in the optimal tip speed ratio control stage, adjusting the minimum pitch angle value for multiple times, and synchronously acquiring relevant parameters of the adjusted fan;
step 2: determining the optimizing range of the minimum pitch angle through a blanked simulation model and a grid search method;
and step 3: sequentially changing the minimum paddle angle in the optimizing range, and calculating the wind energy utilization efficiency of the wind generating set;
and 4, step 4: searching through an annealing algorithm and searching peaks through smooth interpolation of a trend surface according to the multiple wind energy utilization efficiencies obtained through calculation in the step 3 to obtain the optimal minimum pitch angle of the wind generating set;
in step 2, an optimal minimum pitch angle value is obtained according to the Bladed simulation model, searching is carried out near the minimum pitch angle value by a grid search method at an angle of 2-4 degrees, scattering points with convex function trends are obtained, and the optimization range of the minimum pitch angle is a part from a trend peak value of the scattering points with the convex function trends to the Bladed simulation optimal value.
2. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 1, wherein: in step 1, according to an acquisition frequency of 8 milliseconds to 12 milliseconds, the acquired relevant parameters include: the method comprises the steps of wind direction, wind speed, main state of a fan, rotating speed, power, actual blade angle blades 1, actual blade angle blades 2, actual blade angle blades 3, power limiting state, power curve sampling identification of whether current power enters power curve or not and air density.
3. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 1, wherein: the grid search method searches in steps of 0.08-0.12.
4. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 1, wherein: and 3, sequentially changing the minimum propeller angle deviation value of the main control system according to the step length of 0.03-0.07 degrees, and changing the minimum propeller angle of the wind generating set through an internal algorithm of the main control system.
5. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 4, wherein: synchronously recording related data in real time every time the minimum paddle angle deviation value is changed, wherein the synchronous storage quantity of each group of data is more than 600 ten thousand; continuous data of 8-12 minutes are guaranteed through data screening, and the wind energy utilization efficiency of 8-12 minutes is synchronously calculated; the relevant data includes: the method comprises the steps of wind direction, wind speed, main state of a fan, rotating speed, power, actual blade angle blades 1, actual blade angle blades 2, actual blade angle blades 3, power limiting state, power curve sampling identification of whether current power enters power curve or not and air density.
6. The method for dynamically calculating the optimal minimum pitch angle of a wind park as claimed in claim 1, wherein: and 4, calculating a plurality of wind energy utilization efficiencies according to the step 3, and searching the maximum wind energy utilization efficiency under the same optimal minimum paddle angle through data screening.
7. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 1, wherein: in the step 4, the maximum wind energy utilization efficiency of 8-12 minutes at different minimum paddle angles is searched by using a hill climbing algorithm, and an optimal solution is found; and searching through an annealing algorithm and seeking a peak through smooth interpolation of a trend surface to find an optimal wind energy utilization efficiency and find a corresponding optimal minimum paddle angle.
8. The method for dynamically calculating the optimal minimum pitch angle of a wind park according to claim 1, wherein: transmitting the optimal minimum pitch angle found in the step 4 to a parameter input end of a control system of the wind generating set through a closed-loop link of a master control system; and the master control system of the wind generating set integrates the current state data of the wind generating set, completes parameter revision and optimizes the optimal minimum pitch angle.
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