CN114648909A - Wind power generation prediction device and prediction method thereof - Google Patents
Wind power generation prediction device and prediction method thereof Download PDFInfo
- Publication number
- CN114648909A CN114648909A CN202210241704.2A CN202210241704A CN114648909A CN 114648909 A CN114648909 A CN 114648909A CN 202210241704 A CN202210241704 A CN 202210241704A CN 114648909 A CN114648909 A CN 114648909A
- Authority
- CN
- China
- Prior art keywords
- wind power
- power generation
- module
- wind
- prediction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B25/00—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes
- G09B25/02—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes of industrial processes; of machinery
- G09B25/025—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes of industrial processes; of machinery hydraulic; pneumatic
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/06—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting
- F16M11/08—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting around a vertical axis, e.g. panoramic heads
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/18—Heads with mechanism for moving the apparatus relatively to the stand
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention discloses a wind power generation prediction device and a prediction method thereof, wherein the wind power generation prediction device comprises a support column, a movable frame assembled with the support column, a wind power test mechanism arranged on the movable frame, and a data center externally connected with the movable frame and the wind power test mechanism, wherein the movable frame comprises a U-shaped frame body, a support seat welded below the U-shaped frame body and movably matched with the support column, and a direction-adjusting motor arranged above the middle of the U-shaped frame body and with an output end extending into the support column through the support seat; according to the wind power generation prediction device, the accuracy of prediction of wind energy output by the wind driven generator can be improved, so that the stable operation of a power system is ensured, and the increase of the operation benefit of a wind power plant is facilitated.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a wind power generation prediction device and a prediction method thereof.
Background
Wind energy is one of pollution-free energy sources, is inexhaustible, is very suitable for generating electricity by utilizing wind power according to local conditions in coastal islands, grassland pastoral areas, mountain areas and plateau areas which are lack of water, fuel and inconvenient in traffic, and is suitable for most of the energy sources. Offshore wind power is an important field of renewable energy development, is an important force for promoting wind power technical progress and industry upgrading, is an important measure for promoting energy structure adjustment, is rich in offshore wind energy resources in China, accelerates offshore wind power project construction, and has important significance for promoting the coastal areas to treat atmospheric haze, adjust energy structures and change economic development modes.
In the process of wind power generation, if the current wind power can generate large electric energy, the utilization and storage of the electric energy can play a very guiding role, various prediction methods for wind power generation are available at present, for example, Chinese patent application with application number 202010921151.6 discloses a model and a method for wind power generation prediction by combining multivariate and step-by-step linear regression and an artificial neural network, the method considers various weather data independent variables by comprehensively applying prediction calculation means such as step-by-step linear regression, a feedforward neural network, a generalized regression neural network and the like, a set of mixed complex prediction system is provided, the model calculation method is complex, a large amount of independent variables and data are required to be relied on, great change can be brought to prediction by slight deviation of the data, and the data transmission and prediction can not be carried out in time under certain conditions, chinese patent ZL201811165404.0 discloses a wind power generation prediction method, device and equipment, wherein a meteorological value of a point to be measured is obtained at regular time, wind power data is extracted from the meteorological value of the point to be measured, then the wind power data is processed to convert the wind power data into a plurality of class data, a calculation factor of the point to be measured is obtained, the class data are processed by combining the calculation factor to determine a corrected wind power value, finally the power generation power of the point to be measured is predicted according to the corrected wind power value, the output power of a wind power plant for a long time can be predicted accurately, the accuracy of distribution of a power grid scheduling task is improved, the method can only obtain the meteorological value of the point to be measured at regular time, and meanwhile, the method adopts a prediction device comprising a first obtaining module, a first conversion module, a second obtaining module, a determining module, a prediction module and a second conversion module, the specific structure of each module is not given, and the defects of too complex module number, certain limitation on application occasions and the like exist at the same time.
Disclosure of Invention
In view of the above, the present invention provides a wind power generation prediction apparatus which is capable of improving the accuracy and timeliness of the prediction of the wind energy output by the wind power generator, has a simple structure, and is suitable for various occasions, and provides a corresponding prediction method.
In order to solve the technical problems, the technical scheme of the invention is as follows:
the utility model provides a wind power generation prediction unit, includes the support column, with the adjustable shelf that the support column assembled, can turn to is installed wind-force accredited testing organization on the adjustable shelf to and external adjustable shelf and wind-force accredited testing organization's data center, the adjustable shelf includes the U type support body, the welding is in U type support body below, and with support column clearance fit's supporting seat, and install the centre top of the U type support body, and the output extend to the inside accent of support column through the supporting seat and to the motor, wind-force accredited testing organization is including fixing first rotation mount pad and the second at U type support body both ends rotate the mount pad, set up first rotation mount pad and second rotate the axis of rotation between the mount pad, and fixed mounting is in epaxial bent board rotates.
Preferably, the upper end of the supporting column is provided with a fixed bearing seat and a fixed gear seat, and the fixed gear seat is located below the fixed bearing seat.
Preferably, the U-shaped frame body is hollow.
Preferably, a first angular velocity sensor is installed inside the first rotating installation seat, the input end of the first angular velocity sensor is connected with a first wind power measurement module and a first wind power generation module, the output end of the first wind power generation module is connected with a first data transmission module, and the input end of the first data transmission module is further connected with a weather feedback module.
Preferably, a second angular velocity sensor is installed inside the second rotating installation seat, an input end of the second angular velocity sensor is connected with a second wind power measurement module and a second wind power generation module, and an output end of the second wind power generation module is connected with a second data transmission module.
Preferably, a first fixing sleeve is mounted on the rotating shaft at a position close to the first rotating mounting seat, and a second fixing sleeve and a third fixing sleeve are fixedly mounted on the central part of the rotating shaft through screws.
Furthermore, short studs are symmetrically arranged on the first fixing sleeve.
Furthermore, two connecting rods are symmetrically fixed on the second fixing sleeve.
Preferably, the data center comprises a computer, a proportion determining module which is matched with the computer to calculate the wind power generation efficiency, and a data storage module which is connected with the computer.
A prediction method of a wind power generation prediction device comprises the following steps:
s1, measuring the wind power when the rotating shaft is driven by the bent plate to rotate by the first angular velocity sensor and the second angular velocity sensor, and transmitting the two detected data to a computer by the first data transmission module and the second data transmission module;
s2, the computer firstly determines the proportion of the wind power testing mechanism and the set wind power generation device, and simultaneously takes the average value of the first data transmission module and the second data transmission module;
s3, based on the average value, predicting the size of wind power generation according to the wind power testing mechanism and the set proportion size and proportion determining module of the wind power generation device, and comparing to obtain the result of power prediction;
and S4, storing the electric power prediction result obtained through comparison and determination through the data storage module.
The technical effects of the invention are mainly reflected in the following aspects: according to the wind power generation prediction device, the accuracy and timeliness of prediction of wind energy output by the wind driven generator can be improved, so that stable operation of a power system is guaranteed, and the increase of the operation benefit of a wind power plant is facilitated.
Drawings
FIG. 1 is a block diagram of a wind power generation predicting device according to the present invention;
FIG. 2 is a front view of FIG. 1;
FIG. 3 is a block diagram of the support column of FIG. 1;
FIG. 4 is a system frame diagram of the first rotational mount of FIG. 1;
FIG. 5 is a system frame diagram of the second swivel mount of FIG. 1;
FIG. 6 is a system framework diagram of the data center of FIG. 1;
FIG. 7 is a system diagram of a wind power generation forecast apparatus according to the present invention.
The labels in the figures are:
1-support column, 11-fixed bearing seat, 12-fixed gear seat; 2-a movable frame, 21-a U-shaped frame body, 22-a supporting seat and 23-a direction-adjusting motor; 3-wind power testing mechanism, 31-first rotating installation seat, 311-first angular velocity sensor, 312-first wind power measurement module, 313-first wind power generation module, 314-first data transmission module, 315-weather feedback module, 32-second rotating installation seat, 321-second angular velocity sensor, 322-second wind power measurement module, 323-second wind power generation module, 324-second data transmission module, 33-rotating shaft, 331-first fixing sleeve, 3311-short stud, 332-second fixing sleeve, 3321-connecting rod, 333-third fixing sleeve and 34-curved plate; 4-data center, 41-computer, 42-proportion determining module and 43-data storage module.
Detailed Description
The following detailed description of the embodiments of the present invention is provided in order to make the technical solution of the present invention easier to understand and understand.
In the present embodiment, it should be understood that the terms "middle", "upper", "lower", "top", "right", "left", "above", "back", "middle", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In addition, in the present embodiment, if the connection or fixing manner between the components is not specifically described, the connection or fixing manner may be a bolt fixing manner, a pin fixing manner, or a pin shaft connecting manner, which is commonly used in the prior art, and therefore, detailed description thereof is omitted in this embodiment.
Examples
A wind power generation prediction device is shown in figures 1-2 and comprises a support column 1, a movable frame 2 which is assembled with the support column 1 and can be steered, a wind power testing mechanism 3 which is arranged on the movable frame 2, and a data center 4 externally connected with a movable frame 2 and a wind force testing mechanism 3, wherein the movable frame 2 comprises a U-shaped frame body 21, a supporting seat 22 welded below the U-shaped frame body 21 and movably matched with the supporting column 1, and a direction-adjusting motor 23 which is arranged above the middle of the U-shaped frame body 21 and the output end of which extends to the inside of the supporting column 1 through a supporting seat 22, wind-force accredited testing organization 3 is including fixing first rotation mount pad 31 and the second rotation mount pad 32 at U type support body 21 both ends set up first rotation mount pad 31 and second rotate axis of rotation 33 between the mount pad 32, and fixed mounting be in bent plate 34 on the axis of rotation 33. A first fixing sleeve 331 is mounted on the rotating shaft 33 at a position close to the first rotating mounting seat 31, and a second fixing sleeve 332 and a third fixing sleeve 333 are fixedly mounted at the central part of the rotating shaft 33 through screws. The first fixing sleeve 331 is symmetrically provided with short studs 3311, so that the bent plate 34 can be mounted on the first fixing sleeve 331 and fixed by nuts after penetrating through the short studs 3311. Two connecting rods 3321 are symmetrically fixed on the second fixing sleeve 332, the connecting rods 3321 are in contact with the curved plate 34 and are fixed through screws, so that the curved plate 34 can be stably fixed on the rotating shaft 33, and the structure of the third fixing sleeve 333 is the same as that of the second fixing sleeve 332 and is also used for supporting and fixing the curved plate 34.
As shown in fig. 3, combine fig. 1, the upper end of support column 1 is provided with fixed bearing frame 11 and fixed gear seat 12, fixed gear seat 12 is located fixed bearing frame 11's below, and is concrete, and supporting seat 22 is fixed with fixed bearing frame 11 after embedding support column 1 is inside, transfers to the output of motor 23 simultaneously and extends to fixed bearing frame 11 below to with the cooperation of fixed gear seat 12, when realizing that adjustable shelf 2 turns to, can transfer to motor 23 through the start-up, in the rotation process, drive adjustable shelf 2 through transferring to motor 23 and accomplish and transfer to.
As shown in fig. 4, a first angular velocity sensor 311 is installed inside the first rotating installation base 31, an input end of the first angular velocity sensor 311 is connected with a first wind power measuring module 312 and a first wind power generating module 313, and an output end of the first wind power generating module 313 is connected with a first data transmission module 314. The input end of the first data transmission module 314 is further connected with a weather feedback module 315, and specifically, the weather feedback module can detect real-time weather conditions, feed the weather conditions back to the data center 4 through the first data transmission module 314, and adjust the wind power generation prediction.
As shown in fig. 5, a second angular velocity sensor 321 is installed inside the second rotating installation base 32, an input end of the second angular velocity sensor 321 is connected with a second wind power measuring module 322 and a second wind power generating module 323, and an output end of the second wind power generating module 323 is connected with a second data transmission module 324.
As shown in fig. 6 to 7, the data center 4 includes a computer 41, a proportion determining module 42 cooperating with the computer 41 to calculate the wind power generation efficiency, and a data storage module 43 connected to the computer 41, specifically, the computer 41 is connected to the first data transmission module 314 and the second data transmission module 324, and can receive two test data to confirm the data, and is further connected to the direction-adjusting motor 23, and after receiving the weather condition fed back by the first data transmission module 314, the direction-adjusting motor 23 can be started in time to adjust the direction of the movable frame 2, so as to conveniently ensure the accuracy of the test data.
In this embodiment, the inside of U type support body 21 is the cavity setting, and is concrete, can hold the wire, avoids influencing the operation of device because of the wire is chaotic.
As shown in fig. 7, the prediction method of the apparatus includes the steps of:
s1, the wind power generated when the rotating shaft 33 is driven by the curved plate 34 to rotate is measured by the first angular velocity sensor 311 and the second angular velocity sensor 321, and then the two detected data are transmitted to the computer 41 by the first data transmission module 314 and the second data transmission module 324;
s2, the computer 41 firstly determines the wind power testing mechanism 3 and the set proportion of the wind power generation device, and meanwhile, the average value of the first data transmission module 314 and the second data transmission module 324 is taken;
s3, based on the average value, predicting the size of wind power generation according to the wind power testing mechanism 3 and the set proportion size and proportion determining module 42 of the wind power generation device, and comparing to obtain the result of power prediction;
and S4, storing the electric power prediction result obtained through comparison determination through the data storage module 43.
The technical effects of the invention are mainly embodied in the following aspects: according to the wind power generation prediction device, the accuracy and timeliness of the prediction of the wind energy output by the wind driven generator can be improved, so that the stable operation of a power system is ensured, and the increase of the operation benefit of a wind power plant is facilitated.
The above are only typical examples of the present invention, and besides, the present invention may have other embodiments, and all the technical solutions formed by equivalent substitutions or equivalent changes are within the scope of the present invention as claimed.
Claims (10)
1. A wind power generation prediction device characterized in that: including the support column, with the adjustable shelf that the support column assembled, can turn to is installed wind-force test mechanism on the adjustable shelf to and external adjustable shelf and wind-force test mechanism's data center, the adjustable shelf includes U type support body, welds in U type support body below and with support column clearance fit's supporting seat, and install the centre top of U type support body, and the output extend to the inside accent of support column through the supporting seat and to the motor, wind-force test mechanism is including fixing first rotation mount pad and the second rotation mount pad at U type support body both ends set up first rotation mount pad and second rotate the axis of rotation between the mount pad, and fixed mounting are in the epaxial bent board of rotation.
2. A wind power generation predicting device according to claim 1, wherein: the upper end of support column is provided with fixed bearing frame and fixed gear seat, fixed gear seat is located the below of fixed bearing frame.
3. A wind power generation predicting device according to claim 1, wherein: the inside of U type support body is cavity setting.
4. A wind power generation predicting device according to claim 1, wherein: the wind power generation device is characterized in that a first angular velocity sensor is mounted inside the first rotating mounting seat, the input end of the first angular velocity sensor is connected with a first wind power measuring module and a first wind power generation module, the output end of the first wind power generation module is connected with a first data transmission module, and the input end of the first data transmission module is further connected with a weather feedback module.
5. A wind power generation predicting device according to claim 1, wherein: and a second angular velocity sensor is arranged in the second rotating mounting seat, the input end of the second angular velocity sensor is connected with a second wind power measuring module and a second wind power generating module, and the output end of the second wind power generating module is connected with a second data transmission module.
6. A wind power generation predicting device according to claim 1, wherein: a first fixing sleeve is installed at a position, close to the first rotating installation seat, on the rotating shaft, and a second fixing sleeve and a third fixing sleeve are fixedly installed at the middle part of the rotating shaft through screws.
7. The wind power generation predicting device according to claim 6, wherein: the first fixing sleeve is symmetrically provided with short studs.
8. The wind power generation predicting device according to claim 6, wherein: two connecting rods are symmetrically fixed on the second fixing sleeve.
9. A wind power generation predicting device according to claim 1, wherein: the data center comprises a computer, a proportion determining module and a data storage module, wherein the proportion determining module is matched with the computer to calculate the wind power generation efficiency, and the data storage module is connected with the computer.
10. A prediction method of a wind power generation prediction device is characterized by comprising the following steps:
s1, measuring the wind power when the rotating shaft is driven by the bent plate to rotate by the first angular velocity sensor and the second angular velocity sensor, and transmitting the two detected data to a computer by the first data transmission module and the second data transmission module;
s2, the computer firstly determines the proportion of the wind power testing mechanism and the set wind power generation device, and simultaneously takes the average value of the first data transmission module and the second data transmission module;
s3, based on the average value, predicting the size of wind power generation according to the wind power testing mechanism and the set proportion size and proportion determining module of the wind power generation device, and comparing to obtain the result of power prediction;
and S4, storing the electric power prediction result obtained through comparison and determination through the data storage module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210241704.2A CN114648909B (en) | 2022-03-11 | 2022-03-11 | Wind power generation prediction device and prediction method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210241704.2A CN114648909B (en) | 2022-03-11 | 2022-03-11 | Wind power generation prediction device and prediction method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114648909A true CN114648909A (en) | 2022-06-21 |
| CN114648909B CN114648909B (en) | 2023-02-03 |
Family
ID=81993242
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210241704.2A Active CN114648909B (en) | 2022-03-11 | 2022-03-11 | Wind power generation prediction device and prediction method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114648909B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115270491A (en) * | 2022-08-06 | 2022-11-01 | 福建华电福瑞能源发展有限公司福建分公司 | Offshore wind power operation and maintenance platform design method based on multivariate information fusion |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4087927A (en) * | 1977-02-22 | 1978-05-09 | Megatech Corporation | Wind power demonstration apparatus |
| CN200996354Y (en) * | 2007-01-09 | 2007-12-26 | 查正发 | Leaf for wind-power micro-generater |
| WO2013002194A1 (en) * | 2011-06-29 | 2013-01-03 | 三菱重工業株式会社 | Maintenance device for wind power generator and maintenance method for wind power generator |
| CN107631824A (en) * | 2017-09-28 | 2018-01-26 | 柳州凡科技有限公司 | A kind of computer based wind power prediction meanss |
| CN108593967A (en) * | 2017-12-05 | 2018-09-28 | 北京金风科创风电设备有限公司 | Wind speed value correction method and device and computer-readable storage medium |
| CN108693375A (en) * | 2018-06-07 | 2018-10-23 | 王金明 | A kind of intelligent wind speed and wind direction measurement mechanism based on computer vision |
| CN110863947A (en) * | 2019-11-18 | 2020-03-06 | 合肥鸿叶紫新能源有限公司 | Wind power generation device that intelligence turned to |
| CN213658774U (en) * | 2020-10-21 | 2021-07-09 | 中电投湖北界岭风力发电有限公司 | Novel aerogenerator's automatic anemometry device |
| CN113179076A (en) * | 2021-05-07 | 2021-07-27 | 张晓飞 | Environment self-adaptive power supply wind-solar hybrid device |
| CN214384187U (en) * | 2021-02-02 | 2021-10-12 | 特变电工新疆新能源股份有限公司 | Power prediction device for wind driven generator |
-
2022
- 2022-03-11 CN CN202210241704.2A patent/CN114648909B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4087927A (en) * | 1977-02-22 | 1978-05-09 | Megatech Corporation | Wind power demonstration apparatus |
| CN200996354Y (en) * | 2007-01-09 | 2007-12-26 | 查正发 | Leaf for wind-power micro-generater |
| WO2013002194A1 (en) * | 2011-06-29 | 2013-01-03 | 三菱重工業株式会社 | Maintenance device for wind power generator and maintenance method for wind power generator |
| CN107631824A (en) * | 2017-09-28 | 2018-01-26 | 柳州凡科技有限公司 | A kind of computer based wind power prediction meanss |
| CN108593967A (en) * | 2017-12-05 | 2018-09-28 | 北京金风科创风电设备有限公司 | Wind speed value correction method and device and computer-readable storage medium |
| CN108693375A (en) * | 2018-06-07 | 2018-10-23 | 王金明 | A kind of intelligent wind speed and wind direction measurement mechanism based on computer vision |
| CN110863947A (en) * | 2019-11-18 | 2020-03-06 | 合肥鸿叶紫新能源有限公司 | Wind power generation device that intelligence turned to |
| CN213658774U (en) * | 2020-10-21 | 2021-07-09 | 中电投湖北界岭风力发电有限公司 | Novel aerogenerator's automatic anemometry device |
| CN214384187U (en) * | 2021-02-02 | 2021-10-12 | 特变电工新疆新能源股份有限公司 | Power prediction device for wind driven generator |
| CN113179076A (en) * | 2021-05-07 | 2021-07-27 | 张晓飞 | Environment self-adaptive power supply wind-solar hybrid device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115270491A (en) * | 2022-08-06 | 2022-11-01 | 福建华电福瑞能源发展有限公司福建分公司 | Offshore wind power operation and maintenance platform design method based on multivariate information fusion |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114648909B (en) | 2023-02-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8642936B2 (en) | Intelligent solar energy collection system with a dedicated control device | |
| CN103850876B (en) | A kind of Wind turbines independent pitch control method being applicable to no-load and measuring | |
| CN114648909B (en) | Wind power generation prediction device and prediction method thereof | |
| CN101976971B (en) | Vertical-horizontal linkage type solar clino-axis tracker mounting mechanism | |
| CN101976976B (en) | Steel cable type array linkage solar utilization diagonal axis tracking mechanism | |
| US20130015321A1 (en) | Intelligent Solar Panel Array | |
| CN102251919B (en) | Vertical axis resistance-type revolution-door-type wind driven generator | |
| CN202014208U (en) | Linkage inclined shaft tracking mechanism with worm gear and worm arrays for solar utilization | |
| CN116069069B (en) | Angle adjusting method for hemispherical omnidirectional photovoltaic tracking bracket | |
| CN210637189U (en) | High-efficiency wind power generation device | |
| CN206206072U (en) | A kind of vertical wind turbine and wind-driven generator | |
| CN209145780U (en) | The variable-distance wind tunnel experiment testing jig of disturbing effect between a kind of measurement vertical shaft fan | |
| CN202939246U (en) | Device for carrying out power generation efficiency comparison test on inclined single-shaft tracking bracket and fixing bracket | |
| CN106351791A (en) | Vertical wind turbine and wind driven generator | |
| Peña-Carro et al. | Small wind turbines study and integration in a peri-urban microgrid | |
| CN204714919U (en) | Aluminum cell anodic current distribution on-Line Monitor Device | |
| CN106681367A (en) | Automatic tracking type monitoring system | |
| CN108572666A (en) | A kind of integrated solar energy tracking control device | |
| Hidayat et al. | Design and Analysis of Remote Load Measurement and Control System on a Hybrid Power Plant Prototype | |
| CN108374756A (en) | Real-time pitch-adjusting wind wheel and vertical axis aerogenerator | |
| CN218850693U (en) | Geological environment changes monitoring devices | |
| CN202676885U (en) | Experimental facility for wind energy conversion efficiency of wind-driven generator | |
| CN216594147U (en) | Wind-powered electricity generation blade detection system for fatigue test | |
| CN217716646U (en) | Vibration monitoring device for wind generating set | |
| CN220401665U (en) | Photovoltaic construction installation supporting component |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |