CN203233179U - Wind power prediction system - Google Patents
Wind power prediction system Download PDFInfo
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- CN203233179U CN203233179U CN2013201409740U CN201320140974U CN203233179U CN 203233179 U CN203233179 U CN 203233179U CN 2013201409740 U CN2013201409740 U CN 2013201409740U CN 201320140974 U CN201320140974 U CN 201320140974U CN 203233179 U CN203233179 U CN 203233179U
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
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Abstract
The utility model discloses a wind power prediction system comprising a network safety protection device, an EMS system data platform, a collector for collecting wind speed at a wind power farm, a network switch, an electrical network energy management system, a numerical weather forecasting and processing module, a reverse isolation apparatus, a power prediction server, a data interface server, a data acquisition server, a prediction and calculation processor and prediction system database server. The wind power prediction system effectively improves prediction precision, and accurately predicts the power data of short-term and ultra-short term wind farm. The wind power prediction system makes prediction models have excellent adaptability, reduces rotary standby capacity of an electrical network, and ensures reliable operating and scheduling of the electrical network.
Description
Technical field
The utility model relates to a kind of prognoses system, particularly a kind of wind power forecasting system.
Background technology
Along with being incorporated into the power networks on a large scale of wind-powered electricity generation, characteristics such as the uncertainty of wind-powered electricity generation and uncontrollability have been brought increasing problem to electrical network, and are particularly in the big province of some wind-powered electricity generations, particularly outstanding on wind-electricity integration fail safe, the economy problems.But because the difference of weather, landforms, and the abundant area of some wind energy resourceses generally sparsely populated, load is little, electric network composition is also a little less than the relative thin, the characteristics of the randomness that wind energy has, intermittence and uncontrollability, the feasible variation tendency that is difficult to predict the wind energy turbine set generated output, cause the difficulty of operation of power networks scheduling and complicated, some local wind Electric Field Distribution is comparatively concentrated again in addition, can't better understand and assess, therefore be badly in need of to develop the wind power forecast system that is fit to local geography.
The utility model content
The purpose of this utility model just is to provide a kind of wind power forecasting system, can address the above problem fully.
To achieve these goals, the technical solution adopted in the utility model is such: wind power forecasting system of the present utility model, comprise network safety prevention equipment, EMS system data platform, the wind farm wind velocity collector, the network switch, energy management system, the numerical weather forecast processing module, the reverse isolation device, the power prediction server, data interface server, data acquisition server, prediction and calculation processor and prognoses system database server, network safety prevention equipment is electrically connected with EMS system data platform respectively and the prognoses system database server is electrically connected, EMS system data platform is electrically connected with wind farm wind velocity collector and prediction and calculation processor respectively, the wind farm wind velocity collector is electrically connected with the network switch and data acquisition server respectively, the network switch is electrically connected with energy management system and data interface server respectively, energy management system is electrically connected with numerical weather forecast processing module and power prediction server respectively, numerical weather forecast processing module and reverse isolation device are electrically connected, reverse isolation device and power prediction server are electrically connected, power prediction server and data interface server are electrically connected, data interface server and data acquisition server are electrically connected, data acquisition server and prediction and calculation processor are electrically connected, and prediction and calculation processor and prognoses system database server are electrically connected.
As preferably, described data interface server is used for receiving numerical weather forecast information and wind speed information, and is sent in this computing machine.
As preferably, described power prediction server also comprises graphical user interface module, is used for showing curve or output data to prognoses system database module input user instruction.
Compared with prior art, advantage of the present utility model is: this wind power forecasting system has effectively improved accuracy of predicting, can accurately predict the power data of short-term and ultrashort phase wind energy turbine set, and make forecast model have good adaptability, reduced the electrical network spinning reserve capacity simultaneously, for the operation of power networks scheduling provides reliable guarantee.
Description of drawings
Fig. 1 is structural representation of the present utility model.
Embodiment
The utility model is described in further detail below in conjunction with accompanying drawing.
Referring to Fig. 1, wind power forecasting system of the present utility model, comprise network safety prevention equipment, EMS system data platform, the wind farm wind velocity collector, the network switch, energy management system, the numerical weather forecast processing module, the reverse isolation device, the power prediction server, data interface server, data acquisition server, prediction and calculation processor and prognoses system database server, network safety prevention equipment is electrically connected with EMS system data platform respectively and the prognoses system database server is electrically connected, EMS system data platform is electrically connected with wind farm wind velocity collector and prediction and calculation processor respectively, the wind farm wind velocity collector is electrically connected with the network switch and data acquisition server respectively, the network switch is electrically connected with energy management system and data interface server respectively, energy management system is electrically connected with numerical weather forecast processing module and power prediction server respectively, numerical weather forecast processing module and reverse isolation device are electrically connected, reverse isolation device and power prediction server are electrically connected, power prediction server and data interface server are electrically connected, data interface server and data acquisition server are electrically connected, data acquisition server and prediction and calculation processor are electrically connected, prediction and calculation processor and prognoses system database server are electrically connected, described data interface server is used for receiving numerical weather forecast information and wind speed information, and be sent in this computing machine, described power prediction server also comprises graphical user interface module, be used for showing curve or output data to prognoses system database module input user instruction.
For dispatching of power netwoks, only on the basis that the wind power forecasting system that the utility model provides predicts the outcome, just can better realize wind, water, fire and electric combined optimization scheduling, can effectively reduce reserve capacity and operating cost, thereby can be under the situation that guarantees the power grid security reliability service admittance wind-powered electricity generation as much as possible, really realize clean energy resource to the value of energy-saving and emission-reduction, and can effectively satisfy the requirement of wind-electricity integration.Prediction and calculation processing function is effectively assessed according to geographical situation at that time and is predicted; Network safety prevention equipment can carry out real-time and effective protection to network, avoids occurring the problem on some networks.
Claims (3)
1. wind power forecasting system, it is characterized in that: comprise network safety prevention equipment, EMS system data platform, the wind farm wind velocity collector, the network switch, energy management system, the numerical weather forecast processing module, the reverse isolation device, the power prediction server, data interface server, data acquisition server, prediction and calculation processor and prognoses system database server, network safety prevention equipment is electrically connected with EMS system data platform respectively and the prognoses system database server is electrically connected, EMS system data platform is electrically connected with wind farm wind velocity collector and prediction and calculation processor respectively, the wind farm wind velocity collector is electrically connected with the network switch and data acquisition server respectively, the network switch is electrically connected with energy management system and data interface server respectively, energy management system is electrically connected with numerical weather forecast processing module and power prediction server respectively, numerical weather forecast processing module and reverse isolation device are electrically connected, reverse isolation device and power prediction server are electrically connected, power prediction server and data interface server are electrically connected, data interface server and data acquisition server are electrically connected, data acquisition server and prediction and calculation processor are electrically connected, and prediction and calculation processor and prognoses system database server are electrically connected.
2. wind power forecasting system according to claim 1 is characterized in that: described data interface server is used for receiving numerical weather forecast information and wind speed information, and is sent in this computing machine.
3. wind power forecasting system according to claim 1, it is characterized in that: described power prediction server also comprises graphical user interface module, is used for showing curve or output data to prognoses system database module input user instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013201409740U CN203233179U (en) | 2013-03-26 | 2013-03-26 | Wind power prediction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013201409740U CN203233179U (en) | 2013-03-26 | 2013-03-26 | Wind power prediction system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203233179U true CN203233179U (en) | 2013-10-09 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013201409740U Expired - Fee Related CN203233179U (en) | 2013-03-26 | 2013-03-26 | Wind power prediction system |
Country Status (1)
| Country | Link |
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| CN (1) | CN203233179U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105305428A (en) * | 2015-10-30 | 2016-02-03 | 大唐山西新能源有限公司 | Method and system for improving reliability of wind prediction system by use of double-redundancy mode |
| CN105548678A (en) * | 2015-12-14 | 2016-05-04 | 潘小胜 | Electric power calculating device of computer machine room |
| CN107153892A (en) * | 2017-05-12 | 2017-09-12 | 沈阳工程学院 | Distributed wind and optical energy integrated generated power forecasting system |
-
2013
- 2013-03-26 CN CN2013201409740U patent/CN203233179U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105305428A (en) * | 2015-10-30 | 2016-02-03 | 大唐山西新能源有限公司 | Method and system for improving reliability of wind prediction system by use of double-redundancy mode |
| CN105305428B (en) * | 2015-10-30 | 2018-01-12 | 大唐山西新能源有限公司 | The method and system of wind forecasting system reliability are improved with dual redundant mode |
| CN105548678A (en) * | 2015-12-14 | 2016-05-04 | 潘小胜 | Electric power calculating device of computer machine room |
| CN107153892A (en) * | 2017-05-12 | 2017-09-12 | 沈阳工程学院 | Distributed wind and optical energy integrated generated power forecasting system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: DATANG QIUBEI WIND POWER CO., LTD. Free format text: FORMER OWNER: CHENGDU JIAMEIJIA TECHNOLOGY CO., LTD. Effective date: 20141021 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 610000 CHENGDU, SICHUAN PROVINCE TO: 663299 YUXI, YUNNAN PROVINCE |
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| TR01 | Transfer of patent right |
Effective date of registration: 20141021 Address after: 663299 Yunnan Province, Wenshan Jinping Zhuang and Miao Autonomous Prefecture Qiubei County town of stone cylinder dam Patentee after: DATANG QIUBEI WIND AND ELECTRICITY CO., LTD. Address before: 610000 Sichuan Province, Qingyang District, Jinyang Road, No. 7, building 6, building 19, No. 112 Patentee before: CHENGDU JIAMEIJIA SCIENCE & TECHNOLOGY CO., LTD. |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131009 Termination date: 20170326 |