CN202167895U - Wind/photovoltaic power predication system - Google Patents
Wind/photovoltaic power predication system Download PDFInfo
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- CN202167895U CN202167895U CN201120036143XU CN201120036143U CN202167895U CN 202167895 U CN202167895 U CN 202167895U CN 201120036143X U CN201120036143X U CN 201120036143XU CN 201120036143 U CN201120036143 U CN 201120036143U CN 202167895 U CN202167895 U CN 202167895U
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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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- 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
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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Abstract
The utility model relates to a wind/photovoltaic power predication system, which comprises a wind/photovoltaic power predication device. The wind/photovoltaic power predication device comprises a prediction system database module, a numerical weather prediction processing module, a power grid energy management system data processing module and a prediction execution module. The numerical weather prediction processing module processes numerical weather prediction data to form time-interval numerical weather prediction data and enables the time-interval numerical weather prediction data to be sent to the prediction system database module. The power grid energy management system data processing module enables wind power data of wind farms and power data of photovoltaic power stations to be sent to the prediction system database module in real time. The prediction execution module retrieves the time-interval numerical weather prediction data from the prediction system database module, figures out prediction results of the wind farm power and the photovoltaic power station power, and sends the prediction results to the prediction system database module. The wind/photovoltaic power predication system achieves prediction of rating output wind power/photovoltaic power in the future 0 to 72 hours.
Description
Technical field
The utility model relates to a kind of generated output prognoses system, particularly relates to the power prediction system of a kind of integrated prediction wind power generation and photovoltaic generation.
Background technology
Along with being incorporated into the power networks on a large scale of wind energy turbine set, photovoltaic plant; Uncertainty that wind-powered electricity generation/photovoltaic is exerted oneself and uncontrollability have been brought increasing problem to electrical network; Particularly in the big province of some wind-powered electricity generation/photovoltaic generations, be incorporated into the power networks fail safe, the economy problems brought of the intermittent power supply of this type is particularly outstanding.
International wind-powered electricity generation developed country; Set up wind-powered electricity generation/photovoltaic power prognoses system like Denmark, Germany; Also there is operating wind-powered electricity generation/photovoltaic power prognoses system in the big province of some wind-powered electricity generations of China; Wind-powered electricity generation/photovoltaic power prognoses system is admitted the ability of wind-powered electricity generation for improving electrical network, and improving the power system operation economy has effect very energetically.The recent development of the photovoltaic generation of China is swift and violent, and photovoltaic installation in part province has surpassed 100MW, but occurs the photovoltaic generation power prediction system of businessization operation as yet in the present world wide.Develop and satisfy the production run requirement, the integrated power prediction system of comprehensive wind-powered electricity generation/photovoltaic power forecast function has very important significance and practical demand.
The utility model content
The main purpose of the utility model is; A kind of wind-powered electricity generation/photovoltaic power prognoses system of new structure is provided; Technical problem to be solved is the characteristics that make its suitable Chinese feature electric field and photovoltaic plant; Can predict wind-powered electricity generation/photovoltaic power output simultaneously, thereby be suitable for practicality more, and have the value on the industry.
The purpose of the utility model and solve its technical problem and adopt following technical scheme to realize.According to a kind of wind-powered electricity generation/photovoltaic power prognoses system that the utility model proposes, it comprises wind-powered electricity generation/photovoltaic power prediction unit, and this wind-powered electricity generation/photovoltaic power prediction unit comprises: the prognoses system DBM; The numerical weather forecast processing module is handled the numerical weather forecast data, forms period numerical weather forecast data, and should period numerical weather forecast data send into above-mentioned prognoses system DBM; The energy management system data processing module sends to the wind power data of wind energy turbine set and the power data of photovoltaic plant in the prognoses system DBM in real time; And the prediction Executive Module, from the prognoses system DBM, transfer described period numerical weather forecast data, and calculate predicting the outcome of wind energy turbine set power and photovoltaic plant power, and this is predicted the outcome return in the prognoses system DBM.
The purpose of the utility model and solve its technical problem and also can adopt following technical measures further to realize.
Preferably, aforesaid wind-powered electricity generation/photovoltaic power prognoses system, described wind-powered electricity generation/photovoltaic power prediction unit also comprises graphical user interface module, is used for to prognoses system DBM input user instruction, shows curve and dateout.
Preferably, aforesaid wind-powered electricity generation/photovoltaic power prognoses system also comprises: the Meteorological Services device receives the numerical weather forecast data, and these numerical weather forecast data is sent to the numerical weather forecast processing module of wind-powered electricity generation/photovoltaic power prediction unit.
Preferably, aforesaid wind-powered electricity generation/photovoltaic power prognoses system, described Meteorological Services device is connected in internet, downloads the numerical weather forecast data in real time.
Preferably, aforesaid wind-powered electricity generation/photovoltaic power prognoses system also comprises the reverse isolation device, is arranged between described Meteorological Services device and wind-powered electricity generation/photovoltaic power prediction unit.
Preferably, aforesaid wind-powered electricity generation/photovoltaic power prognoses system also comprises energy management system, to the energy management system data processing module of wind-powered electricity generation/photovoltaic power prediction unit data is provided.
By technique scheme, the utility model wind-powered electricity generation/photovoltaic power prognoses system has advantage at least:
This wind-powered electricity generation/photovoltaic power prognoses system is predicted based on the numerical weather forecast data, can be wind power and photovoltaic power station power generation power prediction result that wind energy turbine set/photovoltaic plant and provincial power network provide following 0-72 hour grade.Simultaneously, this wind-powered electricity generation/photovoltaic power prognoses system meets electric power secondary system security protection regulation, can combine well with the existing dispatch automated system of electrical network.Between each module and between module and the server and with the basic data platform between communicate by letter fast smooth and easy, the complete standard of interface, easy operating, response speed was no more than for 1 second.
The wind-powered electricity generation of the utility model/photovoltaic power prognoses system; The accurate power data of forecast China wind energy turbine set and photovoltaic plant; Can be applied to dispatching of power netwoks formulates generation schedule, electrical network and sends out under power supply equilibrium analysis, grid stability analysis, the extreme condition wind energy turbine set power/photovoltaic plant power fluctuation to the aspects such as impact analysis of electrical network; Can many-side improve the fail safe and the economy of operation of power networks, have very strong practicality and application value.
Wind-powered electricity generation/photovoltaic power prognoses system is the wind/light one power prediction system of China's first cover operation; Can be dispatching of power netwoks mechanism provides wind energy turbine set/photovoltaic plant following 0-72 hour prediction of output result; Predicting the outcome has engineering practicability, becomes the important references that dispatching of power netwoks department formulates work such as generation schedule.
Above-mentioned explanation only is the general introduction of the utility model technical scheme, in order more to know the technological means of understanding the utility model, and can implement according to the content of specification, below with the preferred embodiment of the utility model and conjunction with figs. specify as after.
Description of drawings
Fig. 1 is the structure chart of the wind-powered electricity generation/photovoltaic power prognoses system of the utility model.
Embodiment
For further setting forth the utility model is to reach technological means and the effect that predetermined utility model purpose is taked; Below in conjunction with accompanying drawing and preferred embodiment; To wind-powered electricity generation/its embodiment of photovoltaic power prognoses system, structure, characteristic and the effect thereof that proposes according to the utility model, specify as after.
See also shown in Figure 1ly, be the structure chart of the wind-powered electricity generation/photovoltaic power prognoses system of the utility model.The wind-powered electricity generation of the utility model preferred embodiment/photovoltaic power prognoses system, it mainly comprises: wind-powered electricity generation/photovoltaic power prediction unit 10, Meteorological Services device 20 and energy management system 30 (hereinafter to be referred as EMS).Wherein said wind-powered electricity generation/photovoltaic power prediction unit mainly comprises: prognoses system DBM 11, prediction Executive Module 12, energy management system data processing module 13 (hereinafter to be referred as the EMS data processing module), numerical weather forecast processing module 14 and graphical user interface module 15.Wherein said prognoses system DBM 11 is data centers of whole wind-powered electricity generation/photovoltaic power prognoses system, and each module is all accomplished exchanges data through this prognoses system DBM.The reality that predict the outcome data and the EMS data processing module 13 that 11 storages of this prognoses system DBM produce from numerical weather forecast data, the prediction Executive Module 12 of numerical weather forecast processing module 14 produces is sent out the power data of wind power data and photovoltaic plant etc.; Simultaneously; Also can receive the user instruction that graphical user interface module 15 produces, and data and curve display function are provided to graphical user interface module 15.Described numerical weather forecast processing module 14, it is connected in Meteorological Services device 20, receives the numerical weather forecast data that the Meteorological Services device sends.Numerical weather forecast processing module 14 is handled the numerical weather forecast data, forms and respectively predicts wind energy turbine set and photovoltaic plant prediction period numerical weather forecast data, and should period numerical weather forecast data send into above-mentioned prognoses system DBM 11.Described Meteorological Services device 20 is connected in INTERNET (Internet), downloads the numerical weather forecast data in real time from the server of numerical weather forecast service provider.For guaranteeing the security of operation of wind energy turbine set; Also between Meteorological Services device 20 and wind-powered electricity generation/photovoltaic power prediction unit 10, reverse isolation device 21 is set; And carry out data sheet to transmission manner with the E language format, and realize the transregional transmission of numerical weather forecast data, guarantee the safety of message transmission.Described prediction Executive Module 12; From prognoses system DBM 11, transfer described period numerical weather forecast data; And calculate predicting the outcome of wind energy turbine set power and photovoltaic plant power, and this is predicted the outcome return in the prognoses system DBM 11.Described EMS data processing module 13 is connected in described energy management system 30, and it receives real-time wind power data and photovoltaic plant power data that EMS produces, and sends in the prognoses system DBM 11 in real time.Preferable, between EMS and wind-powered electricity generation/photovoltaic power prediction unit, be provided with forward spacer assembly 31, the EMS dispatch automated system of wind-powered electricity generation/photovoltaic power prediction unit and electrical network is combined well, and adopt standard E language and EMS system communication.Predicting the outcome of described wind power and photovoltaic plant power is sent to EMS through EMS data processing module 13.Described graphical user interface module 15 is mainly used in the mutual of user, for example to prognoses system DBM input user instruction, shows curve or dateout, and system is managed, and carries out system maintenance etc.
Wind-powered electricity generation/photovoltaic power prognoses system that the utility model proposes is that China is first based on the wind power generation measuring and reporting system under the numerical weather forecast platform; On the basis that takes into full account Chinese feature electric field and photovoltaic plant characteristics; With numerical weather forecast data, wind energy turbine set/photovoltaic power station power generation power historical data is input; Develop wind-powered electricity generation/photovoltaic power prediction unit, thereby realized prediction the exportable wind power/photovoltaic power of following 0-72 hour grade.Predicting the outcome has engineering practicability, has become the important references that work such as generation schedule are formulated in dispatching of power netwoks.Forecasting object both can be single wind energy turbine set and photovoltaic plant, also can be the association of a plurality of wind energy turbine set and a plurality of photovoltaic plants.
The above; It only is the preferred embodiment of the utility model; Not being that the utility model is done any pro forma restriction, though the utility model with the preferred embodiment exposure as above, yet is not in order to limit the utility model; Anyly be familiar with the professional and technical personnel; In not breaking away from the utility model technical scheme scope, make a little change or be modified to the equivalent embodiment of equivalent variations when the technology contents of above-mentioned announcement capable of using, be the content that does not break away from the utility model technical scheme in every case;, all still belong in the scope of the utility model technical scheme any simple modification, equivalent variations and modification that above embodiment did according to the technical spirit of the utility model.
Claims (6)
1. wind-powered electricity generation/photovoltaic power prognoses system, it comprises wind-powered electricity generation/photovoltaic power prediction unit, it is characterized in that described wind-powered electricity generation/photovoltaic power prediction unit comprises:
The prognoses system DBM;
The numerical weather forecast processing module is handled the numerical weather forecast data, forms period numerical weather forecast data, and should period numerical weather forecast data send into above-mentioned prognoses system DBM;
The energy management system data processing module sends to the wind power data of wind energy turbine set and the power data of photovoltaic plant in the prognoses system DBM in real time; And
The prediction Executive Module is transferred described period numerical weather forecast data, and is calculated predicting the outcome of wind energy turbine set power and photovoltaic plant power from the prognoses system DBM, and this is predicted the outcome returns in the prognoses system DBM.
2. wind-powered electricity generation according to claim 1/photovoltaic power prognoses system; It is characterized in that described wind-powered electricity generation/photovoltaic power prediction unit also comprises graphical user interface module, be used for to prognoses system DBM input user instruction, show curve and dateout.
3. wind-powered electricity generation according to claim 1/photovoltaic power prognoses system is characterized in that also comprising:
The Meteorological Services device receives the numerical weather forecast data, and these numerical weather forecast data are sent to the numerical weather forecast processing module of wind-powered electricity generation/photovoltaic power prediction unit.
4. wind-powered electricity generation according to claim 3/photovoltaic power prognoses system is characterized in that described Meteorological Services device is connected in internet, downloads the numerical weather forecast data in real time.
5. wind-powered electricity generation according to claim 4/photovoltaic power prognoses system is characterized in that it also comprises the reverse isolation device, is arranged between described Meteorological Services device and wind-powered electricity generation/photovoltaic power prediction unit.
6. wind-powered electricity generation according to claim 1/photovoltaic power prognoses system is characterized in that also comprising energy management system, to the energy management system data processing module of wind-powered electricity generation/photovoltaic power prediction unit data is provided.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201120036143XU CN202167895U (en) | 2011-02-11 | 2011-02-11 | Wind/photovoltaic power predication system |
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| CN201120036143XU CN202167895U (en) | 2011-02-11 | 2011-02-11 | Wind/photovoltaic power predication system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102867032A (en) * | 2012-08-28 | 2013-01-09 | 中国电力科学研究院 | Historical data statistics-based discrete analysis method for risks in power generation of new energy resources |
| CN103778340A (en) * | 2014-01-27 | 2014-05-07 | 国家电网公司 | Statistics method of large-scale new energy source power generating characteristics |
| CN103810536A (en) * | 2014-01-10 | 2014-05-21 | 贵州电网公司 | Wind-solar power joint prediction system |
| CN103997065A (en) * | 2014-06-09 | 2014-08-20 | 北京东润环能科技股份有限公司 | Load prediction system and method |
| CN104537450A (en) * | 2015-01-28 | 2015-04-22 | 国家电网公司 | Power prediction system of distributed photovoltaic power generation system |
| CN104951568A (en) * | 2015-07-17 | 2015-09-30 | 国网上海市电力公司 | Self-checking system and self-checking method for commercial database in power system |
| CN106228278A (en) * | 2016-08-19 | 2016-12-14 | 长园深瑞继保自动化有限公司 | Photovoltaic power prognoses system |
| CN107153892A (en) * | 2017-05-12 | 2017-09-12 | 沈阳工程学院 | Distributed wind and optical energy integrated generated power forecasting system |
| CN107785929A (en) * | 2017-10-13 | 2018-03-09 | 中国华能集团清洁能源技术研究院有限公司 | A kind of solar energy thermal-power-generating station power prediction system and operation method |
| CN108664500A (en) * | 2017-03-30 | 2018-10-16 | 中国电力科学研究院 | A kind of grid-based management method and system of Based on Distributed photovoltaic |
| CN109217367A (en) * | 2018-09-30 | 2019-01-15 | 国家电网有限公司 | Wind-power electricity generation prediction technique, device and equipment |
| CN112257953A (en) * | 2020-11-03 | 2021-01-22 | 上海电力大学 | Data processing method based on polar region new energy power generation power prediction |
-
2011
- 2011-02-11 CN CN201120036143XU patent/CN202167895U/en not_active Expired - Lifetime
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102867032A (en) * | 2012-08-28 | 2013-01-09 | 中国电力科学研究院 | Historical data statistics-based discrete analysis method for risks in power generation of new energy resources |
| CN102867032B (en) * | 2012-08-28 | 2017-02-22 | 中国电力科学研究院 | Historical data statistics-based discrete analysis method for risks in power generation of new energy resources |
| CN103810536A (en) * | 2014-01-10 | 2014-05-21 | 贵州电网公司 | Wind-solar power joint prediction system |
| CN103778340B (en) * | 2014-01-27 | 2017-03-15 | 国家电网公司 | The statistical method of extensive generation of electricity by new energy characteristic |
| CN103778340A (en) * | 2014-01-27 | 2014-05-07 | 国家电网公司 | Statistics method of large-scale new energy source power generating characteristics |
| CN103997065A (en) * | 2014-06-09 | 2014-08-20 | 北京东润环能科技股份有限公司 | Load prediction system and method |
| CN104537450A (en) * | 2015-01-28 | 2015-04-22 | 国家电网公司 | Power prediction system of distributed photovoltaic power generation system |
| CN104951568A (en) * | 2015-07-17 | 2015-09-30 | 国网上海市电力公司 | Self-checking system and self-checking method for commercial database in power system |
| CN106228278A (en) * | 2016-08-19 | 2016-12-14 | 长园深瑞继保自动化有限公司 | Photovoltaic power prognoses system |
| CN108664500A (en) * | 2017-03-30 | 2018-10-16 | 中国电力科学研究院 | A kind of grid-based management method and system of Based on Distributed photovoltaic |
| CN107153892A (en) * | 2017-05-12 | 2017-09-12 | 沈阳工程学院 | Distributed wind and optical energy integrated generated power forecasting system |
| CN107785929A (en) * | 2017-10-13 | 2018-03-09 | 中国华能集团清洁能源技术研究院有限公司 | A kind of solar energy thermal-power-generating station power prediction system and operation method |
| CN107785929B (en) * | 2017-10-13 | 2020-07-17 | 中国华能集团清洁能源技术研究院有限公司 | Solar thermal power station power prediction system and operation method |
| CN109217367A (en) * | 2018-09-30 | 2019-01-15 | 国家电网有限公司 | Wind-power electricity generation prediction technique, device and equipment |
| CN112257953A (en) * | 2020-11-03 | 2021-01-22 | 上海电力大学 | Data processing method based on polar region new energy power generation power prediction |
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