CN106246465B - Wind turbine generator set wind speed and wind direction acquisition method and wind turbine generator set system - Google Patents

Wind turbine generator set wind speed and wind direction acquisition method and wind turbine generator set system Download PDF

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Publication number
CN106246465B
CN106246465B CN201610672435.XA CN201610672435A CN106246465B CN 106246465 B CN106246465 B CN 106246465B CN 201610672435 A CN201610672435 A CN 201610672435A CN 106246465 B CN106246465 B CN 106246465B
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wind
wind speed
wind turbine
turbine generator
speed
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CN106246465A (en
Inventor
卢勇
舒晖
唐益文
宋建秀
胡婵娟
袁莹
喻秋敏
陈世超
汤腾蛟
陈少敏
蒋韬
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CRRC Zhuzhou Institute Co Ltd
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CRRC Zhuzhou Institute Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/32Wind speeds
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/321Wind directions
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/30Wind power
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The invention discloses a wind turbine generator set wind speed and direction acquisition method and a wind turbine generator set system, wherein the method comprises the following steps: 1) establishing a wind speed and direction database; establishing a relation between each wind turbine and the wind speed and the wind direction between adjacent wind turbines respectively according to the established wind speed and wind direction database in real time to obtain a wind speed and wind direction relation set of adjacent fans; 2) when a wind speed and direction instrument of a target wind turbine generator fails, acquiring the wind speed and direction relation of adjacent fans corresponding to the target wind turbine generator, and acquiring the wind speed and the wind direction of the target wind turbine generator according to the current wind speed and the current wind direction of the adjacent wind turbine generator; the wind turbine system comprises a plurality of wind turbines, each wind turbine is provided with a wind speed and direction instrument, and the wind speed and direction acquisition device comprises an adjacent wind speed and direction relation establishment module and an acquisition module which are connected with each other. The method has the advantages of simple implementation method, low required cost, strong environmental adaptability, and high accuracy and reliability of wind speed and wind direction acquisition.

Description

Wind turbine generator set wind speed and wind direction acquisition method and wind turbine generator set system
Technical Field
The invention relates to the technical field of wind power generation, in particular to a wind speed and wind direction acquisition method of a wind turbine generator and a wind turbine generator system.
Background
Wind turbine generator system need install anemorumbometer in order to obtain wind speed, wind direction information usually, and because wind turbine generator system is the operation in high altitude, therefore anemorumbometer need install at the cabin top, and do not have safeguard procedures usually for anemorumbometer long-term work is in the adverse circumstances such as insolate, rain, vibration, dust and sand, and the probability of breaking down is higher. Once the anemorumbometer breaks down, the control logic of the existing wind turbine generator generally is fault shutdown, so that the availability and the generating capacity of the wind turbine generator are reduced to a certain extent.
In order to solve the above problems and improve the reliability of acquiring anemorumbometer signals, a method of installing two anemorumbometers is generally adopted at present, but installing one anemorumbometer more leads to cost increase and reduces the economical efficiency of implementation. Aiming at only installing a single anemorumbometer, practitioners propose a scheme of acquiring anemorumbometer signals by using adjacent units when the anemorumbometer fails, but generally simply and directly use the anemorumbometer signals of the adjacent units. For example, patent application CN102619687A discloses an emergency control method for failure of anemorumbometer of wind turbine generator system, which utilizes the wind speed and direction of the adjacent wind turbine generator system to maintain the normal operation of the wind turbine generator system, but the wind speed and direction signals between the adjacent wind turbine generator system are different, so the accuracy and reliability are not high. Patent application CN105134483A discloses a control method for normal operation of wind turbine generator anemoscope after damage, which adopts a fixed algorithm to calculate the relationship between the wind direction of the wind turbine generator and the wind direction of the adjacent wind turbine generator, and takes the maximum value of the wind speed of the adjacent wind turbine generator as the input value of the wind speed of the wind turbine generator, and calculates the relationship between the wind direction of the wind turbine generator and the wind direction of the adjacent wind turbine generator based on the fixed algorithm.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides a wind speed and direction acquisition method of a wind turbine generator, which is simple in implementation method, low in required cost, high in wind speed and direction acquisition precision and reliability and strong in environmental adaptability, and a wind turbine generator system with high operation reliability and utilization rate.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
A wind speed and direction acquisition method for wind generation sets is characterized in that each wind generation set in a target wind power plant is respectively provided with a wind speed and direction indicator, and the wind speed and direction acquisition method comprises the following steps:
1) Acquiring wind speed and wind direction signals in real time through wind speed and wind direction instruments corresponding to the wind turbine generators respectively, and establishing a wind speed and wind direction database based on the acquired signals; establishing a relation between each wind turbine and the wind speed and direction between adjacent wind turbines respectively according to the established wind speed and direction database in real time to obtain a relation set of wind speed and direction of adjacent fans;
2) When the anemorumbometer of the target wind turbine generator fails, the wind speed and direction relation of the adjacent fans corresponding to the target wind turbine generator is obtained in a centralized mode from the wind speed and direction relation of the adjacent fans, and the wind speed and the wind direction of the target wind turbine generator are obtained according to the current wind speed and the current wind direction of the wind turbine generator adjacent to the target wind turbine generator.
As a further improvement of the process of the invention: specifically, in the step 1), fitting curves are performed on the wind speed and direction database to form fitting curve clusters corresponding to the wind generation sets, and a wind speed and direction relationship set of adjacent fans is obtained based on the fitting curve clusters.
As a further improvement of the method, the concrete steps of obtaining the relation set of wind speed and wind direction of the adjacent fans based on the fitting curve cluster are as follows:
1.1) establishing an initial fitting curve cluster in advance according to the wind speed and direction database;
And 1.2) acquiring the wind speed and wind direction signals of each wind turbine in real time to correct the initial fitting curve cluster to obtain a real-time fitting curve cluster, and using the real-time fitting curve cluster as a relation set of wind speed and wind direction of adjacent fans.
As a further improvement of the method of the present invention, the specific steps of correcting in step 1.2) are:
1.21) taking the initial fitting curve cluster as a current fitting curve cluster, and executing the step 1.22);
1.22) obtaining real-time wind speed and wind direction signals of each wind turbine generator to verify the current fitting curve cluster, and if the verification is passed, returning to execute the step 1.22); otherwise, the current fitting curve cluster is corrected by the acquired real-time wind speed and wind direction signals, and the step 1.22) is executed.
As a further improvement of the process of the invention: specifically, signals acquired by the anemorumbometer are acquired in real time through the SCADA system in the step 1), and an anemorumbometer database is established based on the acquired signals.
As a further improvement of the method of the invention, the specific steps of the step 2) are as follows:
2.1) loading an acquisition module which has the function of acquiring the wind speed and wind direction relation of adjacent fans corresponding to a target wind turbine set from the wind speed and wind direction relation of the adjacent fans in a centralized manner, and acquiring the wind speed and wind direction of the target wind turbine set according to the current wind speed and wind direction of the wind turbine set adjacent to the target wind turbine set into the SCADA system in advance;
2.2) when the anemorumbometer of the target wind turbine generator is in fault, the SCADA system receives an acquisition request of the target wind turbine generator, acquires the wind speed and the wind direction of the target wind turbine generator by calling the acquisition module, and sends the wind speed and the wind direction to the target wind turbine generator.
A wind turbine system comprises a plurality of wind turbines, each wind turbine is provided with an anemoscope, and the wind speed and direction acquisition device comprises an adjacent wind speed and direction relationship establishment module and an acquisition module which are connected with each other, wherein the adjacent wind speed and direction relationship establishment module acquires wind speed and direction signals acquired by each anemoscope in real time to establish a wind speed and direction database, and establishes the relationship between each wind turbine and the adjacent wind turbine respectively according to the established wind speed and direction database to obtain the relationship set of the wind speed and the wind direction of the adjacent fan; the acquisition module is used for acquiring the wind speed and direction relation of adjacent fans corresponding to the target wind turbine in a centralized manner from the wind speed and direction relation of the adjacent fans when a wind speed and direction instrument of the target wind turbine fails, and acquiring the wind speed and the wind direction of the target wind turbine according to the current wind speed and the current wind direction of the wind turbine adjacent to the target wind turbine.
as a further improvement of the system of the invention: and the adjacent wind speed and wind direction relation establishing module is connected with an SCADA system, and wind speed and wind direction signals acquired by each anemorumbometer are acquired through the SCADA system.
As a further improvement of the system of the invention: each wind turbine generator is also provided with an anemorumbometer fault monitoring module for monitoring the fault state of the anemorumbometer in real time, and when the fault is monitored, an acquisition request is sent to the anemorumbometer acquisition device.
As a further improvement of the system of the invention: the acquisition module is loaded into the SCADA system, when the anemorumbometer of the target wind turbine generator is in fault, the SCADA system receives an acquisition request of the target wind turbine generator, acquires the wind speed and the wind direction of the target wind turbine generator by calling the acquisition module, and sends the wind speed and the wind direction to the target wind turbine generator.
Compared with the prior art, the invention has the advantages that:
1) according to the method, the wind speed and direction database is established through the real-time wind speed and direction signals, the relation between the wind speed and the wind direction between each wind turbine and the adjacent wind turbine is established based on the database, when the anemoscope of each wind turbine fails, the wind speed and the wind direction of each wind turbine are obtained according to the wind speed and direction relation of the adjacent fans, the wind speed and the wind direction of each wind turbine are guaranteed to still normally run when the anemoscope fails, the shutdown caused by the failure of the anemoscope is avoided, the implementation method is simple, the obtained wind speed and the obtained wind direction are high in reliability, the required cost is low, the environmental adaptability is high, and the method can be suitable.
2) according to the invention, by establishing the wind speed and direction database, the wind speed and direction relationship between adjacent fans can be fully excavated, so that the accurate wind speed and direction relationship between adjacent fans is established, and the accuracy and reliability of obtaining wind speed and direction information are ensured;
3) According to the method, a fitting curve cluster is further formed on the data in the wind speed and direction database, so that the relation between the wind speed and the wind direction between each wind turbine and the adjacent wind turbine can be fully represented, and accurate and reliable wind speed and direction signals can be obtained; furthermore, the fitting curve cluster is corrected based on real-time wind speed and wind direction signals, the obtained fitting curve cluster can be verified in real time, and meanwhile when the relation between the wind speed and the wind direction signals of the adjacent fans changes, the change can be tracked in time and corrected in time, so that the real-time accuracy of the established relation between the wind speed and the wind direction of the adjacent fans is ensured, and the reliability of obtaining the wind speed and the wind direction is effectively improved.
Drawings
Fig. 1 is a schematic flow chart of an implementation of the wind speed and wind direction obtaining method for the wind turbine generator according to the embodiment.
Fig. 2 is a schematic flow chart illustrating an implementation of a wind speed and direction obtaining method for a wind turbine generator according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments of the description, without thereby limiting the scope of protection of the invention.
as shown in fig. 1, in the wind speed and direction acquiring method for wind turbines in this embodiment, each wind turbine in a target wind farm is respectively configured with a wind speed and direction indicator, and the wind speed and direction acquiring method includes the steps of:
1) Acquiring wind speed and wind direction signals in real time through wind speed and wind direction instruments corresponding to the wind turbine generators respectively, and establishing a wind speed and wind direction database based on the acquired signals; establishing a relation between each wind turbine and the wind speed and the wind direction between adjacent wind turbines respectively according to the established wind speed and wind direction database in real time to obtain a wind speed and wind direction relation set of adjacent fans;
2) When the anemorumbometer of the target wind turbine generator fails, the wind speed and direction relation of adjacent fans corresponding to the target wind turbine generator is obtained in a centralized mode from the wind speed and direction relation of adjacent fans, and the wind speed and the wind direction of the target wind turbine generator are obtained according to the current wind speed and the current wind direction of the wind turbine generator adjacent to the target wind turbine generator.
according to the wind speed and direction database established by the real-time wind speed and direction signals, the relation between the wind speed and the wind direction between each wind turbine and the adjacent wind turbine is established based on the database, when the anemoscope of the wind turbine fails, the wind speed and the wind direction of the wind turbine are acquired according to the relation between the wind speed and the wind direction of the adjacent fan, the wind turbine can still normally operate when the anemoscope fails, the shutdown caused by the failure of the anemoscope is avoided, the utilization rate and the power generation capacity of the wind turbine are improved, the implementation method is simple, the acquired wind speed and direction signals are high in reliability, the hardware cost is not increased, the environmental suitability is high, and the wind speed and direction database can be suitable for various wind.
according to the wind speed and direction database established based on the real-time wind speed and wind direction data, the wind speed and direction relation between adjacent fans can be fully excavated, so that the accurate wind speed and direction relation between the adjacent fans can be established, and compared with the traditional method of simply utilizing the wind speed and direction information of the adjacent fans, the accuracy and reliability of the obtained wind speed and direction information can be greatly improved.
in this embodiment, in step 1), the signals collected by the anemorumbometer are specifically obtained in real time through an SCADA (Supervisory Control And Data Acquisition, Supervisory Control system) so as to establish an anemorumbometer database based on the collected signals. In the embodiment, the anemorumbometers of the wind generation sets acquire wind speed and wind direction signals in real time, the SCADA system monitors the signals acquired by the anemorumbometers and uploads the signals to the wind power plant control center, and a wind speed and wind direction database is established in the wind power plant control center.
In this embodiment, in step 1), a fitting curve cluster corresponding to each wind turbine is formed by performing curve fitting on the wind speed and direction database, and a wind speed and direction relationship set of adjacent fans is obtained based on the fitting curve cluster. In this embodiment, after the wind speed and direction database is established, the data processing tool (e.g., data processing software) extracts the wind speed and direction data corresponding to each wind turbine in the wind speed and direction database to perform curve fitting processing, so as to form a fitting curve cluster, so as to be used as a basis for acquiring wind speed and direction signals when the anemorumbometer fails. The fitting curve cluster corresponds to the relationship between the wind speed and the wind direction between each wind turbine and the adjacent wind turbine, and can fully represent the relationship between the wind speed and the wind direction between each wind turbine and the adjacent wind turbine, so that accurate and reliable wind speed and direction signals are obtained. Each fitting curve corresponds to the relation between the wind speed and the wind direction between one wind turbine generator and the adjacent wind turbine generator.
in this embodiment, the specific steps of obtaining the wind speed and direction relationship set of the adjacent fans based on the fitting curve cluster are as follows:
1.1) establishing an initial fitting curve cluster in advance according to a wind speed and direction database;
And 1.2) acquiring the wind speed and wind direction signals of each wind turbine in real time to correct the initial fitting curve cluster to obtain a real-time fitting curve cluster, and using the real-time fitting curve cluster as a relation set of wind speed and wind direction of adjacent fans.
the embodiment corrects the fitting curve cluster based on the real-time wind speed and wind direction signals, can verify the obtained fitting curve cluster in real time, and can track the change and correct the change in time when the relation between the wind speed and the wind direction signals of the adjacent fans changes, so that the real-time accuracy of the constructed relation between the wind speed and the wind direction of the adjacent fans is ensured, and the reliability of obtaining the wind speed and the wind direction is effectively improved.
In this embodiment, the specific steps of correcting in step 1.2) are as follows:
1.21) taking the initial fitting curve cluster as a current fitting curve cluster, and executing the step 1.22);
1.22) obtaining real-time wind speed and wind direction signals of each wind turbine generator to verify the current fitting curve cluster, and if the verification is passed, returning to execute the step 1.22); otherwise, the current fitting curve cluster is corrected by the acquired real-time wind speed and wind direction signals, and the step 1.22) is executed.
when the fitting curve cluster is verified, the relationship between the real-time wind speed and the wind direction of the adjacent fan corresponding to the wind direction signal of each wind turbine generator is specifically compared with the fitting curve cluster, if the error range is within the preset allowable range, the verification is passed, otherwise, the verification is not passed, and the fitting curve cluster is corrected and optimized according to the relationship between the wind speed and the wind direction of the adjacent fan corresponding to the real-time wind speed and the wind direction signal until the error range is within the preset allowable range.
in this embodiment, the specific steps of step 2) are as follows:
2.1) loading an acquisition module which has the functions of acquiring the wind speed and wind direction relation of adjacent fans corresponding to a target wind turbine in a centralized manner from the wind speed and wind direction relation of the adjacent fans, and acquiring the wind speed and wind direction of the target wind turbine according to the current wind speed and wind direction of the wind turbine adjacent to the target wind turbine into the SCADA system in advance;
2.2) when the anemorumbometer of the target wind turbine generator is in fault, the SCADA system receives an acquisition request of the target wind turbine generator, acquires the wind speed and the wind direction of the target wind turbine generator by calling an acquisition module, and sends the wind speed and the wind direction to the target wind turbine generator.
In this embodiment, when the anemorumbometer of the target wind turbine generator fails, an acquisition request of wind speed and wind direction is sent to the SCADA system, the SCADA system calls the fitting curve cluster through the acquisition module, the relationship between the wind speed and the wind direction between the target wind turbine generator and the adjacent wind turbine generator is acquired from the fitting curve corresponding to the target wind turbine generator in the fitting curve cluster, and the wind speed and the wind direction of the target wind turbine generator can be acquired through the fitting curve and the current wind speed and the current wind direction of the adjacent wind turbine generator.
As shown in fig. 2, in the embodiment of the present invention, wind speed and wind direction signals are collected by anemometers of each unit in a wind farm in real time, and are uploaded to a wind farm control center through an SCADA system, and a wind speed and wind direction database is established; the data processing tool extracts wind speed and wind direction signals from the wind speed and wind direction database and processes the wind speed and wind direction signals to form a fitting curve cluster so as to fully dig the relation between the wind speed and the wind direction of the adjacent wind generation sets; verifying the formed fitting curve cluster by utilizing real-time wind speed and wind direction signals, and if the error range is smaller than or equal to an allowable value, taking the fitting curve cluster as a wind speed and wind direction relation set of adjacent fans for obtaining a basis of the wind speed and wind direction signals when the anemorumbometer fails; and if the error range is larger than the allowable value, correcting and optimizing the fitting curve cluster until the requirement of the error range is met. When a wind speed and direction instrument of a target wind turbine generator fails, sending a wind speed and direction acquisition request to an SCADA system so as to input wind speed and direction signals to the SCADA system; after receiving the request signal, the SCADA system calls the fitting curve cluster to obtain the wind speed and the wind direction of the target wind turbine generator according to the current wind speed and the current wind direction of the adjacent wind turbine generators and outputs the wind speed and the wind direction to the target wind turbine generator; and after receiving the wind speed and direction signals, the target wind turbine generator set normally allows operation and sends out warning to inform the fault of maintaining the anemorumbometer as soon as possible.
the wind turbine system comprises a plurality of wind turbines, each wind turbine is provided with a wind speed and direction instrument, and the wind speed and direction acquisition device comprises an adjacent wind speed and direction relation establishment module and an acquisition module which are connected with each other, wherein the adjacent wind speed and direction relation establishment module establishes a wind speed and direction database according to wind speed and direction signals acquired by each wind speed and direction instrument in real time, and establishes a relation between each wind turbine and the adjacent wind turbine respectively according to the established wind speed and direction database in real time to obtain a wind speed and direction relation set of the adjacent wind turbines; the acquisition module is used for acquiring the wind speed and wind direction relation of adjacent fans corresponding to the target wind turbine in a centralized manner from the wind speed and wind direction relation of the adjacent fans when a wind speed and wind direction instrument of the target wind turbine fails, and acquiring the wind speed and wind direction of the target wind turbine according to the current wind speed and wind direction of the wind turbine adjacent to the target wind turbine.
The wind turbine generator system collects wind speed and wind direction signals based on the single anemorumbometer, and when the anemorumbometer breaks down, the wind speed and wind direction signals are obtained through the wind speed and wind direction obtaining device, so that normal operation of the wind turbine generator under the condition of failure of the anemorumbometer is guaranteed, the fault downtime is reduced, and the availability and the generated energy of the wind turbine generator are improved.
the wind speed and direction acquisition device in the wind turbine generator system comprises an adjacent wind speed and direction relation establishment module and an acquisition module, wherein the adjacent wind speed and direction relation establishment module establishes a wind speed and direction database based on real-time wind speed and direction signals, so that the wind speed and direction relation between adjacent fans can be fully excavated, the accurate relation between the wind speed and the wind direction between the adjacent fans is established, and the accuracy and the reliability of the acquired wind speed and direction information are high.
In this embodiment, the adjacent wind speed and direction relationship establishing module is connected to the SCADA system, and obtains wind speed and direction signals collected by each anemorumbometer through the SCADA system. The adjacent wind speed and wind direction relation establishing module is used for forming a fitting curve cluster corresponding to each wind turbine generator set by performing curve fitting on the wind speed and wind direction database, and obtaining a wind speed and wind direction relation set of adjacent fans based on the fitting curve cluster.
In this embodiment, each wind turbine generator is further provided with an anemorumbometer fault monitoring module, which monitors a fault state of the anemorumbometer in real time, and sends an acquisition request of the anemorumbometer to the anemorumbometer acquisition device when a fault is monitored.
In this embodiment, the acquisition module is loaded into the SCADA system, and when the anemorumbometer of the target wind turbine fails, the SCADA system receives an acquisition request of the target wind turbine, acquires the wind speed and the wind direction of the target wind turbine by calling the acquisition module, and sends the wind speed and the wind direction to the target wind turbine. When the acquisition module is executed, the wind speed and wind direction output of the target wind turbine generator is acquired by calling the fitting curve cluster according to the current wind speed and wind direction of the wind turbine generator adjacent to the target wind turbine generator.
The foregoing is considered as illustrative of the preferred embodiments of the invention and is not to be construed as limiting the invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention should fall within the protection scope of the technical scheme of the present invention, unless the technical spirit of the present invention departs from the content of the technical scheme of the present invention.

Claims (9)

1. A wind speed and direction acquisition method for wind generation sets is characterized in that the wind speed and direction acquisition method comprises the following steps:
1) Acquiring wind speed and wind direction signals in real time through wind speed and wind direction instruments corresponding to the wind turbine generators respectively, and establishing a wind speed and wind direction database based on the acquired signals; establishing a relation between each wind turbine and the wind speed and direction between adjacent wind turbines respectively according to the established wind speed and direction database in real time to obtain a relation set of wind speed and direction of adjacent fans;
2) When a wind speed and direction instrument of a target wind turbine generator fails, centrally acquiring the wind speed and direction relation of adjacent fans corresponding to the target wind turbine generator from the wind speed and direction relation of the adjacent fans, and acquiring the wind speed and the wind direction of the target wind turbine generator according to the current wind speed and the current wind direction of the wind turbine generator adjacent to the target wind turbine generator;
Specifically, in the step 1), fitting curves corresponding to the wind speed and direction databases are formed through curve fitting, a set of wind speed and direction relations of adjacent fans is obtained based on the fitting curves, and each fitting curve corresponds to a wind speed or direction relation between one wind power generation unit and the adjacent wind power generation unit.
2. the wind turbine generator wind speed and direction acquisition method according to claim 1, characterized in that: the specific steps of obtaining the relation set of wind speed and wind direction of the adjacent fans based on the fitting curve cluster are as follows:
1.1) establishing an initial fitting curve cluster in advance according to the wind speed and direction database;
And 1.2) acquiring the wind speed and wind direction signals of each wind turbine in real time to correct the initial fitting curve cluster to obtain a real-time fitting curve cluster, and using the real-time fitting curve cluster as a relation set of wind speed and wind direction of adjacent fans.
3. the method for acquiring the wind speed and the wind direction of the wind turbine generator set according to claim 2, wherein the specific steps of correcting in the step 1.2) are as follows:
1.21) taking the initial fitting curve cluster as a current fitting curve cluster, and executing the step 1.22);
1.22) obtaining real-time wind speed and wind direction signals of each wind turbine generator to verify the current fitting curve cluster, and if the error range is within a preset allowable range, the verification is passed; otherwise, the current fitting curve cluster is corrected by the acquired real-time wind speed and wind direction signals, and the step 1.22) is executed.
4. the method for acquiring the wind speed and the wind direction of the wind turbine generator set according to any one of claims 1 to 3, wherein in the step 1), the signals acquired by the anemorumbometer are acquired in real time through an SCADA system, so that a wind speed and direction database is established based on the acquired signals.
5. the method for acquiring the wind speed and the wind direction of the wind turbine generator according to any one of claims 1 to 3, wherein the specific steps in the step 2) are as follows:
2.1) loading an acquisition module which has the function of acquiring the wind speed and wind direction relation of adjacent fans corresponding to a target wind turbine set from the wind speed and wind direction relation of the adjacent fans in a centralized manner, and acquiring the wind speed and wind direction of the target wind turbine set according to the current wind speed and wind direction of the wind turbine set adjacent to the target wind turbine set into the SCADA system in advance;
2.2) when the anemorumbometer of the target wind turbine generator is in fault, the SCADA system receives an acquisition request of the target wind turbine generator, acquires the wind speed and the wind direction of the target wind turbine generator by calling the acquisition module, and sends the wind speed and the wind direction to the target wind turbine generator.
6. The utility model provides a wind turbine system, includes many wind turbine generator systems, every wind turbine generator system all disposes an anemorumbometer, its characterized in that: the wind speed and direction acquisition device comprises an adjacent wind speed and direction relation establishment module and an acquisition module which are connected with each other, wherein the adjacent wind speed and direction relation establishment module acquires wind speed and direction signals acquired by each anemorumbometer in real time to establish a wind speed and direction database, and establishes the relation between each wind turbine and the adjacent wind turbine respectively according to the established wind speed and direction database to obtain a wind speed and direction relation set of the adjacent fans; the acquisition module is used for acquiring the wind speed and direction relation of adjacent fans corresponding to the target wind turbine generator set from the wind speed and direction relation of the adjacent fans in a centralized manner when a wind speed and direction instrument of the target wind turbine generator set fails, and acquiring the wind speed and the wind direction of the target wind turbine generator set according to the current wind speed and the current wind direction of the wind turbine generator set adjacent to the target wind turbine generator set; the wind speed and direction relationship establishing module is used for forming fitting curve clusters corresponding to the wind power units by performing curve fitting on the wind speed and direction database, obtaining a wind speed and direction relationship set of adjacent fans based on the fitting curve clusters, and each fitting curve corresponds to the wind speed and direction relationship between one wind power unit and the adjacent wind power unit.
7. the wind turbine system of claim 6, wherein: and the adjacent wind speed and wind direction relation establishing module is connected with an SCADA system, and wind speed and wind direction signals acquired by each anemorumbometer are acquired through the SCADA system.
8. The wind turbine system of claim 7, wherein: each wind turbine generator is also provided with an anemorumbometer fault monitoring module for monitoring the fault state of the anemorumbometer in real time, and when the fault is monitored, an acquisition request is sent to the anemorumbometer acquisition device.
9. the wind turbine system according to claim 6, 7 or 8, wherein the acquisition module is loaded into the SCADA system, when the anemorumbometer of the target wind turbine fails, the SCADA system receives an acquisition request of the target wind turbine, acquires the wind speed and the wind direction of the target wind turbine by calling the acquisition module, and sends the acquired wind speed and the wind direction to the target wind turbine.
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CN110594097A (en) * 2019-09-10 2019-12-20 许昌许继风电科技有限公司 Control method and control system of wind turbine generator
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102619687A (en) * 2012-04-18 2012-08-01 北车风电有限公司 Emergency control method with failure of anemorumbometer of wind generating set
CN102830250A (en) * 2011-06-14 2012-12-19 湘潭大学 Method for diagnosing faults of wind speed sensor at wind power plant based on spatial relevancy
CN105041570A (en) * 2015-07-30 2015-11-11 北京天诚同创电气有限公司 Yaw control method and device for wind turbine generator
CN105134483A (en) * 2015-07-22 2015-12-09 天津瑞源电气有限公司 Control method for normal operation of wind generation set after damage of anemograph

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102830250A (en) * 2011-06-14 2012-12-19 湘潭大学 Method for diagnosing faults of wind speed sensor at wind power plant based on spatial relevancy
CN102619687A (en) * 2012-04-18 2012-08-01 北车风电有限公司 Emergency control method with failure of anemorumbometer of wind generating set
CN105134483A (en) * 2015-07-22 2015-12-09 天津瑞源电气有限公司 Control method for normal operation of wind generation set after damage of anemograph
CN105041570A (en) * 2015-07-30 2015-11-11 北京天诚同创电气有限公司 Yaw control method and device for wind turbine generator

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