CN106849067A - Suitable for the combined wind-power power prediction system of many wind fields - Google Patents
Suitable for the combined wind-power power prediction system of many wind fields Download PDFInfo
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- CN106849067A CN106849067A CN201710141723.7A CN201710141723A CN106849067A CN 106849067 A CN106849067 A CN 106849067A CN 201710141723 A CN201710141723 A CN 201710141723A CN 106849067 A CN106849067 A CN 106849067A
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- 230000005611 electricity Effects 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 238000004891 communication Methods 0.000 claims description 19
- 238000007726 management method Methods 0.000 claims description 12
- 238000013500 data storage Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000011161 development Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000004913 activation Effects 0.000 claims 1
- 239000002346 layers by function Substances 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 5
- 239000010410 layer Substances 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H02J3/386—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- 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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
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- Power Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses the combined wind-power power prediction system suitable for many wind fields, including single wind power forecasting system and combined wind-power power prediction platform, single wind power forecasting system is deployed in single wind power plant, for realizing the wind power prediction of the wind field, combined wind-power power prediction Platform deployment in each wind power plant and enterprise, for realize wind-powered electricity generation data transmission and enterprise to the monitor in real time of wind field.Many wind field combined wind-power power prediction systems that the present invention is provided, employ layering and modular mentality of designing, can make the configuration between system each functional layer and work more flexible and convenient.
Description
Technical field
The present invention relate to suitable for many wind fields combined wind-power power prediction system and, belong to network system technical field.
Background technology
Wind energy is more and more paid attention to and is applied as a kind of most promising green energy resource.But because wind is solid
Some fluctuations and intermittence, the decision-making scheduling after large-scale grid connection to the safety and stability, power network of power system can all bring
Very big challenge, so the accurate wind power prediction of the property entered just seems extremely important.
The content of the invention
It is pre- the invention discloses a kind of combined wind-power power suitable for many wind fields in order to solve above-mentioned problem
Examining system, by accurate wind power prediction, can help power plant to carry out decision-making scheduling, help enterprise to formulate maintenance project,
As more wind-electricity integrations use, enhancing wind-powered electricity generation enterprise competitiveness in the market, its concrete technical scheme is as follows：
Suitable for the combined wind-power power prediction system of many wind fields, including single wind power forecasting system and combined wind-power
Power prediction platform,
Wherein single wind power forecasting system is deployed in single wind power plant, for realizing the wind power prediction of the wind field, group
Box-like wind power prediction Platform deployment in each wind power plant and enterprise, for realize wind-powered electricity generation data transmission and enterprise to wind
The monitor in real time of field,
The single wind power forecasting system includes numerical weather forecast module, anemometer tower module, blower fan module, and data
Library module；Numerical weather forecast module carries out the prediction of the meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and wet
Degree meteorological element；Anemometer tower module carries out the collection of the real time meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and
Humidity meteorological element；Blower fan module carries out wind speed collection and the record of wind power of each blower fan；DBM is by number
The data of value weather forecast module, anemometer tower module and blower fan module collection are stored and calculated, and carry out data processing, power
Prediction, Information Statistics and data are reported；
The combined type predicting platform includes wind field module, data communication module and company module, and wind field module includes several
Wind power forecasting system and fire wall, wind field module are deployed in each different wind field respectively；Data communication module includes wind
The fire wall of field, the fire wall of company, and data communication server；Company module includes fire wall, data communication server
And data storage server and wind field information management system for users to use.
Each wind power plant has independent numerical weather forecast module, anemometer tower module and blower fan module, the numerical value day
Gas forecast module, anemometer tower module and blower fan module gather corresponding data, and the corresponding data that will be collected passes to data
Library module.
Each wind power plant has been independently arranged fire wall.
The data of the DBM from each wind power plant by wind power plant fire wall, then by the fire prevention of company
Wall, finally proceeds to the data communication server of company.
The data communication server passes data to data storage server, and data storage server is believed by wind field
Breath management system transmits data to each user.
WRF schema version of the numerical weather forecast module from WRF-NMM-V7.
The anemometer tower module is from NOMAD-2 for wind data acquisition system.
The blower fan module selects the electric W2000 types blower fan in Shanghai, installs NOMAD-2 additional on blower fan for wind power collecting system
System.
What the wind field information management system was selected is Nanjing Information engineering Univ and the Nanjing Essen limited public affairs of Environmental Technology
Department and the SINTER letter overall situation wind power forecasting systems of Nanjing Zheng Lve Information Technology Co., Ltds cooperative development, including be
System is set, fan condition monitoring, prediction curve displaying, the function such as wind data Information Statistics, facilitates user intuitively to observe wind
Field running status.
Operation principle of the invention is：
The present invention predicts the wind of this wind field according to the NWP modules for being deployed in different wind fields by way of numerical weather forecast
The weather informations such as speed, wind direction, temperature, air pressure, humidity, database is stored data into by NWP data reception modules.By surveying
Wind tower module gathers the weather informations such as the wind speed in this wind field region, wind direction, temperature, air pressure, humidity, storage to database.Pass through
Wind field module gathers the information such as the single real-time wind direction of blower fan, wind speed, power and stores to database.In DBM,
By corresponding algorithm, the data to storing carry out quality control, reject the data of mistake, and are carried out using the data after cleaning
Wind power prediction.And real-time power data, weather information data are counted, convenient management and next step are ground
Study carefully work.Reported by the power data predicted, it is possible to achieve the wind power of this wind field generates electricity by way of merging two or more grid systems.
The wind power forecasting system of single wind field is connected in parallel, the combined wind-power power of many wind fields is built into
Predicting platform.Wind field module carries out power information, and the statistics of weather information is arrived data information transfer by data communication module
Company module.Company personnel is by being deployed in data monitoring of the in-company wind power forecasting system realization to all wind fields
And management.
The beneficial effects of the invention are as follows：
It is of the invention different from existing wind power forecasting system, many wind field combined wind-power power prediction systems that the present invention is provided
System, employs layering and modular mentality of designing, can make the configuration between system each functional layer and work more flexible
It is convenient.Wherein algorithm process layer is responsible for the cleaning of the data for collecting, quality control, power prediction, the statistics and number of information
According to report and generated electricity by way of merging two or more grid systems.Data analysis layer is responsible for the reception of NWP data, the collection of anemometer tower data, blower fan data
Collection, and carry out the treatment of next step with algorithm process layer is transferred data to.Service application layer includes wind power prediction system
Three modules of system, NWP modules, anemometer tower module and blower fan module.
Single wind power forecasting system is far from the increasingly increased wind-powered electricity generation number of satisfaction, the previous wind-powered electricity generation enterprise of mesh
Often possess multiple wind power plants, patent of the present invention is on the basis of single wind power forecasting system, it is proposed that new is windy
Field combined wind-power power prediction platform, combines the technologies such as network service, parallel computation and computer cluster, facilitates enterprise
Unified management and resource allocation is realized to wind field.
Brief description of the drawings
Fig. 1 is single wind power forecasting system layout drawing of the invention,
Fig. 2 is the layout drawing of combined wind-power power prediction platform of the invention.
Specific embodiment
With reference to the accompanying drawings and detailed description, the present invention is furture elucidated.It should be understood that following specific embodiments are only
For illustrating the present invention rather than limitation the scope of the present invention.
This is applied to the combined wind-power power prediction system of many wind fields, including single wind power forecasting system and combination
Formula wind power prediction platform.
Fig. 1 is single wind power forecasting system layout drawing of the invention, and visible with reference to accompanying drawing, single wind power is pre-
Examining system is deployed in single wind power plant, for realizing the wind power prediction of the wind field, combined wind-power power prediction platform part
Administration in each wind power plant and enterprise, for realize wind-powered electricity generation data transmission and enterprise to the monitor in real time of wind field, it is described single
Wind power forecasting system includes numerical weather forecast module, anemometer tower module, blower fan module, and DBM；Numerical value
Weather forecast module carries out the prediction of the meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and humidity meteorological element；
Anemometer tower module carries out the collection of the real time meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and humidity meteorology will
Element；Blower fan module carries out wind speed collection and the record of wind power of each blower fan；DBM is by numerical weather forecast
The data of module, anemometer tower module and blower fan module collection are stored and calculated, and carry out data processing, power prediction, information
Statistics and data are reported.
Fig. 2 is the layout drawing of combined wind-power power prediction platform of the invention, and visible with reference to accompanying drawing, the combined type is pre-
Surveying platform includes wind field module, data communication module and company module, and wind field module includes several wind power forecasting systems
And fire wall, wind field module is deployed in each different wind field respectively；Data communication module includes the fire wall of wind field, company
Fire wall, and data communication server；Company module includes fire wall, data communication server and data storage server
Wind field information management system for users to use.
Each wind power plant has independent numerical weather forecast module, anemometer tower module and blower fan module, and the Numerical Weather is pre-
Report module, anemometer tower module and blower fan module gather corresponding data, and the corresponding data that will be collected passes to database mould
Block.
Each wind power plant has been independently arranged fire wall.
The data of the DBM from each wind power plant by wind power plant fire wall, then by the fire prevention of company
Wall, finally proceeds to the data communication server of company.
The data communication server passes data to data storage server, and data storage server is believed by wind field
Breath management system transmits data to each user.
WRF schema version of the numerical weather forecast module from WRF-NMM-V7.
The anemometer tower module is from NOMAD-2 for wind data acquisition system.
The blower fan module selects the electric W2000 types blower fan in Shanghai, installs NOMAD-2 additional on blower fan for wind power collecting system
System.
What the wind field information management system was selected is Nanjing Information engineering Univ and the Nanjing Essen limited public affairs of Environmental Technology
Department and the SINTER letter overall situation wind power forecasting systems of Nanjing Zheng Lve Information Technology Co., Ltds cooperative development, including be
System is set, fan condition monitoring, prediction curve displaying, the function such as wind data Information Statistics, facilitates user intuitively to observe wind
Field running status.
Technological means disclosed in the present invention program is not limited only to the technological means disclosed in above-mentioned technological means, also includes
Constituted technical scheme is combined by above technical characteristic.
With above-mentioned according to desirable embodiment of the invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.
Claims (9)
1. suitable for the combined wind-power power prediction system of many wind fields, it is characterised in that including single wind power forecasting system
With combined wind-power power prediction platform,
Wherein single wind power forecasting system is deployed in single wind power plant, for realizing the wind power prediction of the wind field, group
Box-like wind power prediction Platform deployment in each wind power plant and enterprise, for realize wind-powered electricity generation data transmission and enterprise to wind
The monitor in real time of field,
The single wind power forecasting system includes numerical weather forecast module, anemometer tower module, blower fan module, and data
Library module；Numerical weather forecast module carries out the prediction of the meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and wet
Degree meteorological element；Anemometer tower module carries out the collection of the real time meteorological data of this wind field, including wind speed, wind direction, temperature, air pressure and
Humidity meteorological element；Blower fan module carries out wind speed collection and the record of wind power of each blower fan；DBM is by number
The data of value weather forecast module, anemometer tower module and blower fan module collection are stored and calculated, and carry out data processing, power
Prediction, Information Statistics and data are reported；
The combined type predicting platform includes wind field module, data communication module and company module, and wind field module includes several
Wind power forecasting system and fire wall, wind field module are deployed in each different wind field respectively；Data communication module includes wind
The fire wall of field, the fire wall of company, and data communication server；Company module includes fire wall, data communication server
And data storage server and wind field information management system for users to use.
2. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that each
Wind power plant has independent numerical weather forecast module, anemometer tower module and blower fan module, and the numerical weather forecast module is surveyed
Wind tower module and blower fan module gather corresponding data, and the corresponding data that will be collected passes to DBM.
3. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that each
Wind power plant has been independently arranged fire wall.
4. the combined wind-power power prediction system suitable for many wind fields according to claim 3, it is characterised in that come from
The data of the DBM of each wind power plant then by the fire wall of company, are finally proceeded to by the fire wall of wind power plant
The data communication server of company.
5. the combined wind-power power prediction system suitable for many wind fields according to claim 4, it is characterised in that described
Data communication server passes data to data storage server, and data storage server will by wind field information management system
Data is activation is to each user.
6. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that described
WRF schema version of the numerical weather forecast module from WRF-NMM-V7.
7. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that described
Anemometer tower module is from NOMAD-2 for wind data acquisition system.
8. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that described
Blower fan module selects the electric W2000 types blower fan in Shanghai, installs NOMAD-2 additional on blower fan for wind power collecting system.
9. the combined wind-power power prediction system suitable for many wind fields according to claim 1, it is characterised in that described
What wind field information management system was selected is Nanjing Information engineering Univ with Nanjing Essen Environment Technology Co., Ltd and Nanjing just
The slightly SINTER letter overall situation wind power forecasting systems of Information Technology Co., Ltd's cooperative development, including system are set, blower fan
The functions such as status monitoring, prediction curve displaying, wind data Information Statistics, facilitate user intuitively to observe wind field running status.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710141723.7A CN106849067A (en) | 2017-03-10 | 2017-03-10 | Suitable for the combined wind-power power prediction system of many wind fields |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107769254A (en) * | 2017-08-01 | 2018-03-06 | 中国农业大学 | A kind of wind-powered electricity generation cluster trajectory predictions and hierarchical control method |
| CN108663089A (en) * | 2018-06-21 | 2018-10-16 | 肇庆高新区徒瓦科技有限公司 | A kind of scenic spot wind tower system with online environment monitoring function |
| CN113642784A (en) * | 2021-07-27 | 2021-11-12 | 西安理工大学 | Wind power ultra-short term prediction method considering fan state |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107769254A (en) * | 2017-08-01 | 2018-03-06 | 中国农业大学 | A kind of wind-powered electricity generation cluster trajectory predictions and hierarchical control method |
| CN108663089A (en) * | 2018-06-21 | 2018-10-16 | 肇庆高新区徒瓦科技有限公司 | A kind of scenic spot wind tower system with online environment monitoring function |
| CN113642784A (en) * | 2021-07-27 | 2021-11-12 | 西安理工大学 | Wind power ultra-short term prediction method considering fan state |
| CN113642784B (en) * | 2021-07-27 | 2023-08-18 | 西安理工大学 | Wind power ultra-short-term prediction method considering fan state |
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Application publication date: 20170613 |
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