CN108256712B - Control method and device for wind power plant group - Google Patents
Control method and device for wind power plant group Download PDFInfo
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Abstract
The invention provides a control method and a device for a wind power plant group, wherein the method comprises the following steps: acquiring basic information of each wind generating set in a wind power plant; acquiring geographic information and wind resource information of each sector at a machine position of each wind generating set in a wind power plant; dividing each wind generating set in the wind power plant into different groups based on the acquired basic information and the acquired geographic information and wind resource information, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information; selecting any wind generating set from any divided group, and determining the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group; customizing the control strategy of each wind generating set in the group according to predefined control strategies corresponding to the basic information, the geographic information and the wind resource information of the group.
Description
Technical Field
The application relates to the technical field of wind power generation, in particular to a method and a device for customizing a control strategy of each wind generating set in a wind power plant.
Background
In the existing wind power plant design, the input of the wind generating set with the worst wind resource condition in the wind power plant is used as the design input, and finally, the whole wind power plant adopts a single model arrangement mode through a series of processes such as large part design, load check, generating capacity calculation and the like. Although the design mode of the single machine type ensures the safe operation of each wind generating set in the wind power plant to a certain extent, the design mode of the single machine type undoubtedly causes a great deal of redundancy for the utilization of key wind generating sets in the wind power plant. Therefore, the design of a single machine type not only increases the investment cost, but also makes part of the wind generating sets not reasonably used (i.e. wind resources of each machine site in the wind farm are not fully developed).
In addition, with the increasing development scale of wind power plants with complex terrains, the difference of wind resources of each machine site in the wind power plants is more and more obvious, even the wind resources of different sectors of the same machine site have larger difference, and obviously, the design mode of a single machine type cannot be applied to the wind power plants.
Therefore, a method and a device capable of adaptively controlling or managing specific conditions of each wind turbine generator set in the wind farm are urgently needed.
Disclosure of Invention
The invention aims to provide a control method and device for a wind power plant group.
According to an aspect of the present invention, there is provided a control method for a wind farm group, the control method comprising: acquiring basic information of each wind generating set in a wind power plant; acquiring geographic information and wind resource information of each sector at a machine position of each wind generating set in a wind power plant; dividing each wind generating set in the wind power plant into different groups based on the acquired basic information and the acquired geographic information and wind resource information, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information; selecting any wind generating set from any divided group, and determining the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group; customizing the control strategy of each wind generating set in the group according to predefined control strategies corresponding to the basic information, the geographic information and the wind resource information of the group.
Preferably, the basic information of each wind park in the wind park comprises at least one of: the arrangement and the model of each wind generating set and the technical parameters of each wind generating set.
Preferably, the geographical information of each sector of the site of each wind park comprises at least one of: the terrain condition and the surface vegetation roughness of the machine position of each wind generating set.
Preferably, the wind resource information for each sector of the site of each wind park in the wind park comprises at least one of: annual average wind speed, wind power density, wind shear, turbulence intensity, dominant wind direction, dominant wind energy direction, inflow angle, probability density distribution of wind speed and annual maximum wind speed at the machine site of each wind generating set.
Preferably, the step of grouping the individual wind generating sets in the wind farm into different groups comprises: and clustering the acquired basic information, the acquired geographic information and the acquired wind resource information, and dividing each wind generating set in the wind power plant into different groups.
Preferably, the step of selecting any one of the wind turbine generators from any one of the divided groups includes: and selecting the wind generating set with the worst wind resource condition from any one of the divided groups.
According to an aspect of the present invention, there is provided a control device for a wind farm group, the control device comprising: the first acquisition unit is used for acquiring basic information of each wind generating set in the wind power plant; the second acquisition unit is used for acquiring geographic information and wind resource information of each sector at the machine position of each wind generating set in the wind power plant; the wind generating set dividing unit is used for dividing each wind generating set in the wind power plant into different groups based on the acquired basic information and the acquired geographic information and wind resource information, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information; the wind generating set selecting unit is used for selecting any wind generating set from any divided group and determining the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group; and the unit customizing unit customizes the control strategy of each wind generating set in the group according to a predefined control strategy corresponding to the basic information, the geographic information and the wind resource information of the group.
Preferably, the basic information of each wind park in the wind park comprises at least one of: the arrangement and the model of each wind generating set and the technical parameters of each wind generating set.
Preferably, the geographical information of each sector of the site of each wind park comprises at least one of: the terrain condition and the surface vegetation roughness of the machine position of each wind generating set.
Preferably, the wind resource information for each sector of the site of each wind park in the wind park comprises at least one of: annual average wind speed, wind power density, wind shear, turbulence intensity, dominant wind direction, dominant wind energy direction, inflow angle, probability density distribution of wind speed and annual maximum wind speed at the machine site of each wind generating set.
Preferably, the wind turbine generator set dividing unit divides each wind turbine generator set in the wind farm into different groups by clustering the acquired basic information, the acquired geographic information and the wind resource information.
Preferably, the unit selecting unit selects the wind generating set with the worst wind resource condition from any one of the divided groups.
The control method and the control device for the wind power plant group, provided by the invention, can flexibly and effectively customize the control strategy of each wind power generator set in the wind power plant according to the specific conditions (such as models, terrain, wind resources and the like) of each wind power generator set in the wind power plant, and effectively avoid redundancy and waste caused by a traditional fixed customized management mode of a single machine type aiming at partial wind power generator sets.
Drawings
The above and other objects and features of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flowchart illustrating a method of controlling a wind farm group according to an exemplary embodiment of the present invention;
fig. 2 is a block diagram showing a configuration of a control device of a wind farm group according to an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Considering that the wind resources of different machine sites in the wind farm and the wind resources of different sectors at the same machine site have different degrees of difference, and each wind generating set installed in the wind farm has different personalized configurations (most personalized components, personalized control strategies, etc.). If the control strategy is customized for each sector at each machine site in the wind farm, a large amount of computing resources and time are consumed; if the customized design of the control strategy is only performed for the worst wind resource situation site or sector in the wind farm, the waste of the wind resources or the generating performance of the unit of a part of the wind sites or sectors in the wind farm can be caused.
In view of the above, the present invention provides a method and an apparatus for controlling a wind farm group, which customize control strategies for each wind turbine generator set and each sector at a wind farm location according to characteristics of each wind turbine generator set in the wind farm, geographical conditions and wind resource conditions at the wind farm location, and particularly, the wind farm group may be divided into a plurality of groups according to characteristics of each wind turbine generator set in the wind farm, geographical conditions and wind resource conditions at the wind farm location, wherein each of the divided groups may have the same or similar wind turbine generator set, geographical conditions and wind resource conditions, and then any one wind turbine generator set is selected from the divided groups as a representative wind turbine generator set of each of the divided groups, so as to control and manage each wind turbine generator set in the selected group where the wind turbine generator set is located according to the control strategy formulated for the selected wind turbine generator set, therefore, the power generation performance of each wind generating set in the wind power plant can be fully developed and utilized, the economic benefit of the wind power plant can be maximized, and the economy and the safety of each wind generating set in the wind power plant are in a balanced state.
Fig. 1 is a flowchart illustrating a control method of a wind farm group according to an exemplary embodiment of the present invention. Fig. 2 is a block diagram showing a configuration of a control device of a wind farm group according to an exemplary embodiment of the present invention. The process of customizing a wind farm will be described in detail below with reference to FIG. 1.
In step 110, the control device obtains basic information of each wind generating set in the wind farm. Here, the basic information may be the arrangement (e.g. coordinates, number) of each wind turbine generator set, the model, and the technical parameters (including the technical parameters of the wind turbine generator set to be installed or already installed) of each wind turbine generator set, or any combination thereof, and in one example, the technical parameters mainly include the following items:
1) rated power, impeller diameter, blade model and tower height;
2) the model of a current transformer;
3) power curve and thrust coefficient curve.
It should be noted that, besides the above information, other basic information may be selected according to actual needs in specific implementation. The invention is not limited thereto.
In step 120, the control device obtains geographic information and wind resource information of each sector of a site of each wind turbine generator set in the wind farm.
Here, the geographical information may be the surrounding terrain conditions at the machine site of each wind turbine generator set, the roughness of the surface vegetation, or any combination thereof.
Specifically, the control device may evaluate the surrounding terrain at each machine location as follows:
1) considering that the terrain causes distortion of the airflow, the control device may use additional increments (e.g. correction parameters for turbulent structures) to assess the complexity of the terrain;
2) the control device can evaluate the fluctuation trend of each section of the terrain and quantize the gradient and the rugged index of each parameter of each section of each machine site in a certain range.
In addition, the control device can also quantitatively evaluate the ground cover vegetation of each sector at each machine position according to the roughness in a certain range (for example, 2D-8D, wherein D is the diameter of an impeller of the wind generating set).
Here, the wind resource information may be an annual average wind speed, a wind power density, a wind shear, a turbulence intensity, a prevailing wind direction, a prevailing wind energy direction, an inflow angle, a probability density distribution of wind speeds, a terrain complexity and a year (e.g., fifty years) encountered maximum wind speed at a machine site of each wind turbine generator set in the wind farm, or any combination thereof. Among the factors that have a large influence on the power generation capacity and load adaptability of the wind turbine generator system are turbulence intensity, inflow angle, wind shear, annual average wind speed, and wind speed probability density distribution, and the turbulence intensity, inflow angle, wind shear, and the like are greatly related to the terrain and surface roughness of each sector at the machine location.
To ensure the accuracy of the customized control strategy of the wind farm, the control device may further check the wind information collected by the wind towers in the wind farm, and in one example, the wind towers collecting the information may be required to be located in the wind farm as much as possible, and the distance to the nearest wind generating set of the wind towers is not more than 5 kilometers, and the wind data includes uninterrupted measurement data of more than 10 months (for example, the wind time traverses 4 seasons, and the time resolution is less than or equal to 15 min). After acquiring the measurement data, the control device needs to perform wind resource analysis on the measurement data, and in one example, the wind resource analysis can be divided into two stages of wind resource profile analysis and wind farm computational fluid dynamics modeling. Through the analysis, the control device can obtain the following specific wind resource information related to each wind generating set of the wind power plant in the wind resource profiling phase:
1) annual average wind speed and wind power density at different heights;
2) wind shear, which may specifically include wind shear of different sectors;
3) the turbulence intensity specifically comprises an average value and a characteristic value of different sectors of different wind speed sections with different heights;
4) leading wind directions and leading wind energy directions of different heights;
5) inflow angles of different sectors;
6) probability density distribution of wind speed;
8) the maximum wind speed, for example, the maximum wind speed encountered in fifty years, is mainly used for calculating the comparison of the maximum wind speed value encountered in 50 years at each machine position point in the computational fluid dynamics of the wind power plant.
In the modeling stage, the control device can numerically solve a Navier-Stokes equation through a finite volume method to depict the basic attribute of wind flow, wherein the Navier-Stokes equation is a time-mean nonlinear partial differential equation system which is difficult to solve and unstable and is used for describing speed fluctuation. The control device can select a turbulence model to carry out closed solution on a Navier-Stokes equation set based on the Reynolds average, so that parameter values of grids in the wind flow field are obtained. In addition, the control device can also set different wake flow models to describe the wake flow influence among the units, wherein the wake flow models comprise a Jensen wake flow model, a Larsen wake flow model and an Ishihara wake flow model. In addition, considering that different atmospheric stability degrees (generally, the atmospheric stability degrees can be divided into stable, unstable and neutral) in different regions may have great influence on the wind profile in the wind power plant, the control device can describe the atmospheric stability degree by adopting the monon-Obukhov length and describe the wind profile by combining the surface roughness, so that the flow property of wind in the wind power plant can be more accurately described, and a computational fluid dynamics model of the wind power plant can be established. Using this model, the control device can obtain wind resource analysis results for different sectors at each machine site.
In step 130, the control device divides the wind generating sets in the wind farm into different groups based on the acquired basic information and the acquired geographic information and wind resource information, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information;
in an exemplary embodiment, the control apparatus may divide the individual wind generating sets in the wind farm into different groups by clustering the acquired basic information and the acquired geographical and wind resource information.
Specifically, the control device may cluster the wind turbine generators in the wind farm according to the following predetermined conditions:
1) the unit types in the same type need to be consistent, and comprise generator power, blade type and tower barrel height;
2) similar terrain evaluation in the same class;
3) the turbulence intensity in the same class is in the same proper range;
4) the annual average wind speed and the proportion of wind speed sections in the same class are approximately similar;
5) the roughness of the inner surface of the same type is in the same proper range;
6) the wind direction 10D of the wind generating sets in the same type is close to the number of the sets in the same type.
Since the classification standard can only be described qualitatively (i.e. it cannot be depicted quantitatively), the classification can be performed by using a cluster analysis method, in one example, if there are p wind generating sets in the wind farm and the wind generating sets are divided into q sectors, the total number of the clustered samples is N ═ p × q, if there are m (m ═ 5) indexes in each sample, the index of any sample can be represented as the j (th) index of the i (th) sample, and the control device can therefore obtain a sample matrix, an average value and a range difference in the wind farm. In order to eliminate the influence of different dimensions or larger magnitude difference of index variables, the control device can perform range standardization on the sample matrix, so that the changed data mean value is 0 and the range is 1.
The control device can cluster the standardized sample matrix, and the specific process is as follows:
A. constructing n classes, wherein each class comprises only one sample;
B. calculating the distance between every two n samples to form a distance matrix;
C. merging two types with the nearest distance into a new type;
D. calculating the distance between the new class and the current class;
E. if the number of the classes meets the set value, ending, otherwise returning to C.
It should be understood that the above grouping method is only exemplary, and the present invention is not limited thereto, and can be applied to any method that facilitates grouping of the wind turbine generators in the wind farm into different groups according to the similarity thereof.
At 140, the control device selects any wind generating set from any divided group, and determines the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group.
In an exemplary embodiment, the control device may select, from any one of the divided groups, a wind turbine generator set with the worst wind resource condition (i.e., the worst condition) as the representative wind turbine generator set of the any one group. For example, the control device may select the wind turbine generator set according to the following conditions:
1) selecting a wind generating set with the maximum turbulence intensity characteristic value (for example, 15 m/s);
2) selecting a wind generating set with the largest wind shear (namely a wind shear angle);
3) selecting a wind generating set with the largest inflow angle;
4) selecting a wind generating set with the maximum air density;
5) selecting a wind generating set with the maximum ratio of Weibull distribution parameters of the machine sites;
6) and selecting the wind generating set with the maximum wind speed (for example, 37.5m/s) within 50 years.
In particular, the control device may adaptively account for critical part loads (e.g., loads of blades of a wind turbine generator system, loads of a tower, loads of a hub, etc.).
It should be understood that the above method of selecting any one group of representative wind turbine generators is merely exemplary, and the present invention is not limited thereto, and may be applied to any method that facilitates selecting any one group of representative wind turbine generators.
At 150, the control device customizes the control strategy of each wind generating set in the group according to predefined control strategies corresponding to the group's basic information, geographical information and wind resource information. The predefined control strategy may be preset in the control device in advance, and different basic information, geographical information and wind resource information correspond to different predefined control strategies, that is, the control device may control the cut-out, power generation power, impeller rotation speed and yaw of each wind generating set in the group according to the basic information, geographical information and wind resource information (i.e. the average wind speed and the probability density distribution of the wind speed at the set site, turbulence intensity of each set site, wind shear and site at each set site, policy and other factors) of the selected wind generating set.
In one example, the control device may adaptively adjust the cut-out wind speed and the corresponding cut-out power of each wind generating set in the group according to the wind resource at the machine location of the selected wind generating set with reference to the target machine type design load of the selected wind generating set, so as to reduce frequent start and stop of the wind generating set under a high wind condition under the condition that the load of the wind generating set is ensured to be within a safe load envelope, so that the wind generating set provides a higher power generation amount, and the adaptability of the machine type in the category is improved.
In another example, the control device may adaptively adjust the rated power generation of each wind generating set in the group according to the wind resource at the machine location of the selected wind generating set with reference to the target machine type design load of the selected wind generating set, so as to improve the power generation amount of the set under the condition that the load of the set is ensured to be within the safe load envelope.
In another example, the control device may adaptively adjust the rated rotation speed of the impeller of each wind turbine generator set in the group according to the wind resource at the machine location of the selected wind turbine generator set, with the safe operation of the selected wind turbine generator set as a baseline, so that the wind turbine generator set has higher power output in the full-power transition section, thereby effectively improving the power generation capacity of the wind turbine generator set (because the wind speed probability density distribution corresponding to the transition section is larger).
In another example, the control device may count wind direction changes of different time scales in wind resources at machine positions of the selected wind generating sets, and adapt yaw-to-wind deviation thresholds and duration thresholds of the wind generating sets in the group according to time and amplitude of the wind direction changes obtained by the counting result, so as to reduce unnecessary yaw actions, reduce overall yaw-to-wind deviation, and further improve generating capacity of the wind generating sets.
In addition, in order to further improve the accuracy of the control strategy of the customized wind power plant, the control device can also adopt a specific control strategy for wind generating sets meeting specific conditions in each divided group (for example, wind generating sets located near an industrial area and a residential area), for example, the control device can perform sector management based on complex terrain and/or sector management of wake effect on sectors of the wind generating sets meeting specific conditions, or can enhance the environmental adaptability of the wind generating sets through light and shadow flicker control and noise control.
It should be understood that the control device may implement any one of the above embodiments of the customized control strategy alone, or may implement two or more embodiments of the customized control strategy in combination, and the invention is not limited thereto.
In addition, it should be further noted that, according to the implementation requirement, each step described in the present application can be divided into more steps, and two or more steps or partial operations of the steps can be combined into a new step to achieve the purpose of the present invention.
By adopting the implementation process, the control device can flexibly and effectively customize the control strategy of each wind generating set in the wind power plant according to the specific conditions (such as model, terrain, wind resource and the like) of each wind generating set in the wind power plant, thereby effectively avoiding redundancy and waste caused by a customized management mode of a single model.
Referring to fig. 2, the control device at least includes a first obtaining unit 210, a second obtaining unit 220, a unit dividing unit 230, a unit selecting unit 240, and a unit customizing unit 250. The first obtaining unit 210 is configured to obtain basic information of each wind generating set in the wind farm; the second obtaining unit 220 is configured to obtain geographic information and wind resource information of each sector at a machine location of each wind generating set in the wind farm; the unit dividing unit 230 is configured to divide each wind generating set in the wind farm into different groups based on the obtained basic information and the obtained geographic information and wind resource information, where the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information; the unit selecting unit 240 is configured to select any wind generating set from any divided group and determine basic information, geographic information, and wind resource information of the selected wind generating set as the basic information, the geographic information, and the wind resource information of the group; the crew customizing unit 250 is configured to customize the control strategy of each wind generating set in the group according to predefined control strategies corresponding to the basic information, geographical information and wind resource information of the group.
Here, the basic information of each wind park in the wind farm may include the arrangement, model and technical parameters of each wind park or any combination thereof. The geographic information of each sector of the machine location of each wind turbine generator in the wind farm may be the terrain condition and the surface vegetation roughness at the machine location of each wind turbine generator or any combination thereof. The wind resource information of each sector of the machine location of each wind generating set in the wind power plant can be annual average wind speed, wind power density, wind shear, turbulence intensity, dominant wind direction, dominant wind energy direction, inflow angle, probability density distribution of wind speed and annual maximum wind speed or any combination of the above items at the machine location of each wind generating set.
In an exemplary embodiment, the group partitioning unit 230 may partition the individual wind generating groups in the wind farm into different groups by clustering the obtained basic information and the obtained geographical and wind resource information.
It should be understood that the above-mentioned grouping units are only exemplary, and the present invention is not limited thereto, and may be applied to units that facilitate the grouping of the individual wind turbine generators in the wind farm into different groups according to their similarities.
In an exemplary embodiment, the unit selecting unit 240 may select the wind turbine generator set with the worst wind resource condition from any of the divided groups.
It should be understood that the above selection of the units of the wind turbine generator set is merely exemplary, and the present invention is not limited thereto, and may be applied to the present invention as long as it facilitates the selection of the units of the representative wind turbine generator set.
In an example, the unit customizing unit 250 may adaptively adjust the cut-out wind speed and the corresponding cut-out power of each wind generating set in the group according to the wind resource at the machine location of the selected wind generating set with reference to the target machine type design load of the selected wind generating set, so as to reduce frequent start and stop of the wind generating set under a high wind condition under the condition that the load of the unit is guaranteed to be within a safe load envelope, so that the wind generating set provides a higher power generation amount, and improve the adaptability of the machine type in the category.
In another example, the unit customizing unit 250 may adaptively adjust the rated power generation of each wind generating set in the group according to the wind resource at the machine location of the selected wind generating set, with the target machine type design load of the selected wind generating set as a reference, so as to improve the power generation amount of the unit under the condition of ensuring the load of the unit to be within the safe load envelope.
In yet another example, the unit customizing unit 250 may adaptively adjust the rated rotation speed of the impeller of each wind generating set in the group according to the wind resource at the machine location of the selected wind generating set, with the safe operation of the selected wind generating set as a bottom line, so that the unit has higher power output in the full-power transition section, thereby effectively improving the power generation amount of the unit (because the wind speed probability density distribution corresponding to the transition section is larger).
In another example, the unit customizing unit 250 may count wind direction changes of different time scales in the wind resource at the machine location of the selected wind generating set, and adapt the yaw-to-wind deviation threshold and the duration threshold of each wind generating set in the group according to the time and amplitude of the wind direction change obtained by the counting result, so as to reduce unnecessary yaw actions, reduce the overall yaw-to-wind deviation, and further improve the generating capacity of the unit.
In addition, to further improve the accuracy of the control strategy of the customized wind farm, the unit customization unit 250 may further adopt a specific control strategy for wind generating sets meeting specific conditions in each divided group (for example, wind generating sets located near an industrial area or a residential area), for example, the unit customization unit 250 may perform sector management based on complex terrain and/or sector management of wake effect on sectors of the wind generating sets meeting specific conditions, or may enhance environmental adaptability of the wind generating sets through light and shadow flicker control and noise control.
It should be understood that the unit customizing unit 250 may implement any one of the embodiments of the customized control strategy described above alone, or may implement two or more embodiments of the customized control strategy described above in combination, and the present invention is not limited thereto.
It can be seen that the control method and the control device for the wind farm group provided by the embodiments can flexibly and effectively customize the control strategy of each wind generating set in the wind farm according to the specific conditions (such as model, terrain, wind resource, etc.) of each wind generating set in the wind farm, and can effectively avoid redundancy and waste caused by a traditional fixed customized management mode of a single model for part of the wind generating sets.
The above-described emulation method according to the present invention can be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the emulation method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that the computer, processor, microprocessor controller or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the process simulation methods described herein. Further, when a general-purpose computer accesses code for implementing the processes shown herein, execution of the code transforms the general-purpose computer into a special-purpose computer for performing the processes shown herein.
While the invention has been shown and described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A control method for a wind farm group is characterized by comprising the following steps:
acquiring basic information of each wind generating set in a wind power plant;
acquiring geographic information and wind resource information of each sector at a machine position of each wind generating set in a wind power plant;
dividing each wind generating set in the wind power plant into different groups based on the acquired basic information and the acquired geographic information and wind resource information of each sector, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information;
selecting any wind generating set from any divided group, and determining the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group;
customizing a control strategy of each wind generating set in the group according to predefined control strategies corresponding to basic information, geographical information and wind resource information of the group,
wherein the control strategy for each wind park in the group comprises at least one of:
adjusting the cut-out wind speed and the corresponding cut-out power of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set by taking the target machine type design load of the selected wind generating set as a reference;
adjusting the rated generating power of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set by taking the target machine type design load of the selected wind generating set as a reference;
taking the safe operation of the selected type of the wind generating set as a bottom line, and adjusting the rated rotating speed of the impeller of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set so as to increase the output power of the wind generating set at the full-power-generation transition section;
wind direction changes of different time scales in wind resources at the selected machine position of the wind generating set are counted, and the yaw wind deviation threshold value and the duration time threshold value of each wind generating set in the group are adapted according to the time and the amplitude of the wind direction changes obtained according to the counting result so as to reduce yaw actions.
2. The control method according to claim 1, characterized in that the basic information of each wind generating set in the wind farm comprises at least one of the following:
the arrangement and the model of each wind generating set and the technical parameters of each wind generating set.
3. A control method according to claim 1 or 2, characterized in that the geographical information of each sector of the site of each wind park comprises at least one of the following:
the terrain condition and the surface vegetation roughness of the machine position of each wind generating set.
4. A control method according to claim 1 or 2, wherein the wind resource information for each sector of the site of each wind park comprises at least one of:
annual average wind speed, wind power density, wind shear, turbulence intensity, dominant wind direction, dominant wind energy direction, inflow angle, probability density distribution of wind speed and annual maximum wind speed at the machine site of each wind generating set.
5. The control method according to any one of claims 1 to 4, wherein the step of selecting any one of the wind turbine generators from any one of the divided groups comprises: and selecting the wind generating set with the worst wind resource condition from any one of the divided groups.
6. A control device for a wind farm group, the control device comprising:
the first acquisition unit is used for acquiring basic information of each wind generating set in the wind power plant;
the second acquisition unit is used for acquiring geographic information and wind resource information of each sector at the machine position of each wind generating set in the wind power plant;
the wind generating set dividing unit is used for dividing each wind generating set in the wind power plant into different groups based on the acquired basic information and the acquired geographic information and wind resource information of each sector, wherein the wind generating sets in the same group have the same or similar basic information, geographic information and wind resource information;
the wind generating set selecting unit is used for selecting any wind generating set from any divided group and determining the basic information, the geographic information and the wind resource information of the selected wind generating set as the basic information, the geographic information and the wind resource information of the group;
a unit customizing unit for customizing the control strategy of each wind generating set in the group according to the predefined control strategy corresponding to the basic information, the geographic information and the wind resource information of the group,
wherein the control strategy of the unit customization unit for each wind generating set in the group comprises at least one of:
adjusting the cut-out wind speed and the corresponding cut-out power of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set by taking the target machine type design load of the selected wind generating set as a reference;
adjusting the rated generating power of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set by taking the target machine type design load of the selected wind generating set as a reference;
taking the safe operation of the selected type of the wind generating set as a bottom line, and adjusting the rated rotating speed of the impeller of each wind generating set in the group according to the wind resource at the machine position of the selected wind generating set so as to increase the output power of the wind generating set at the full-power-generation transition section;
wind direction changes of different time scales in wind resources at the selected machine position of the wind generating set are counted, and the yaw wind deviation threshold value and the duration time threshold value of each wind generating set in the group are adapted according to the time and the amplitude of the wind direction changes obtained according to the counting result so as to reduce yaw actions.
7. The control device of claim 6, wherein the basic information of each wind generating set in the wind farm comprises at least one of:
the arrangement and the model of each wind generating set and the technical parameters of each wind generating set.
8. Control arrangement according to claim 6 or 7, characterized in that the geographical information of the respective sector of the site of each wind park comprises at least one of the following:
the terrain condition and the surface vegetation roughness of the machine position of each wind generating set.
9. The control apparatus according to claim 6 or 7, wherein the wind resource information of each sector of the site of each wind park in the wind park comprises at least one of:
annual average wind speed, wind power density, wind shear, turbulence intensity, dominant wind direction, dominant wind energy direction, inflow angle, probability density distribution of wind speed and annual maximum wind speed at the machine site of each wind generating set.
10. The control apparatus according to any one of claims 6 to 9, wherein the unit selecting unit selects a wind turbine generator set having the worst wind resource condition from any one of the divided groups.
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| CN109356791B (en) * | 2018-12-12 | 2021-03-26 | 北京金风科创风电设备有限公司 | Wind power plant control method and system, farm group controller and wind generating set |
| CN111428325B (en) * | 2018-12-21 | 2024-04-19 | 北京金风科创风电设备有限公司 | Method and apparatus for customizing a wind turbine |
| CN111441917A (en) * | 2019-01-16 | 2020-07-24 | 北京金风科创风电设备有限公司 | Load estimation method and device for preset part of wind turbine generator based on sector |
| CN115566738B (en) * | 2022-11-14 | 2023-03-28 | 中国华能集团清洁能源技术研究院有限公司 | Self-optimized wind turbine generator group control method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103401236A (en) * | 2013-07-30 | 2013-11-20 | 华北电力大学 | Wind power farm generator unit grouping method based on flow correlation of wind power farm |
| CN103558768A (en) * | 2013-08-12 | 2014-02-05 | 清华大学 | Equivalent modeling method based on wind speed distribution characteristics in wind power plant |
| CA2888737A1 (en) * | 2014-04-29 | 2015-10-29 | General Electric Company | Systems and methods for optimizing operation of a wind farm |
| CN105868848A (en) * | 2016-03-25 | 2016-08-17 | 湘潭大学 | Wind power plant synergy method with yawing and active power integrated cooperation among units |
-
2016
- 2016-12-29 CN CN201611242781.0A patent/CN108256712B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103401236A (en) * | 2013-07-30 | 2013-11-20 | 华北电力大学 | Wind power farm generator unit grouping method based on flow correlation of wind power farm |
| CN103558768A (en) * | 2013-08-12 | 2014-02-05 | 清华大学 | Equivalent modeling method based on wind speed distribution characteristics in wind power plant |
| CA2888737A1 (en) * | 2014-04-29 | 2015-10-29 | General Electric Company | Systems and methods for optimizing operation of a wind farm |
| CN105868848A (en) * | 2016-03-25 | 2016-08-17 | 湘潭大学 | Wind power plant synergy method with yawing and active power integrated cooperation among units |
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