CN114139775A - Wind power prediction system based on virtual anemometer tower - Google Patents
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Abstract
The invention discloses a wind power prediction system based on a virtual anemometer tower, which comprises: the numerical weather forecast server is used for acquiring numerical weather forecast data; the reverse isolation device is used for ensuring the transmission safety of data across a safety zone; the database module is used for storing various data; the numerical weather forecast processing module is used for analyzing numerical weather forecast data; the monitoring system data processing module is used for acquiring real-time power data of the wind power plant and real-time power data and meteorological data of each fan; the virtual anemometer tower module is used for calculating virtual anemometer tower data; the prediction module is used for establishing a prediction model to obtain prediction data; the user interface module is used for displaying real-time data and predicted data; and the reporting data interface is used for reporting the prediction data and the virtual anemometer tower data. The invention can meet the requirements of wind power prediction and data reporting on the premise of not depending on an entity wind measuring tower.
Description
Technical Field
The invention relates to the technical field of wind power generation prediction, in particular to a wind power prediction system based on a virtual anemometer tower.
Background
The development of new energy has become an important force for promoting global energy transformation and is an important direction for global green low-carbon transformation. Due to the random fluctuation, intermittence, uncontrollable performance and the like of the wind energy, the wind energy is merged into a power grid in a large scale, the randomness of the generated energy and the output power is high, a series of problems can be brought to the safety and the management of the power grid after the wind energy is connected into the power grid, and great challenges are brought to the production and the operation of a power system. Therefore, the output power of the wind power plant needs to be scientifically predicted so as to reasonably arrange an operation mode and a response measure, fully utilize wind energy resources, reduce the adverse effect of wind power access on a power grid, improve the safety and stability of the operation of the power grid, improve the wind power receiving capacity of the power grid, reduce the operation cost of a power system and improve economic and social benefits.
The wind measuring tower data is an important input of the wind power prediction system and is also important data which needs to be reported and included in an assessment range by the power prediction system. However, due to the reasons that the prophase planning position of the wind measuring tower is unrepresentative, the later maintenance is not in place and the like, a great number of wind measuring towers are wasted and damaged or data are distorted and lost, and the wind power prediction precision is low due to the fact that the data of the wind measuring towers are lost or the data quality is poor.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings of the prior art, and provides a wind power prediction system based on a virtual wind measuring tower, which can meet the requirements of wind power prediction and data reporting on the premise of not depending on an entity wind measuring tower.
In order to achieve the purpose, the technical scheme provided by the invention is as follows: a wind power prediction system based on a virtual anemometer tower comprises a numerical weather forecast server, a reverse isolation device, a database module, a numerical weather forecast processing module, a monitoring system data processing module, a virtual anemometer tower module, a prediction module, a user interface module and a reporting data interface;
the numerical weather forecast server acquires numerical weather forecast data of the wind power plant provided by a numerical weather forecast service provider through an Internet network;
the reverse isolation device is positioned between the numerical weather forecast server and the numerical weather forecast processing module and is used for ensuring the safety of data transmission across a safety zone;
the database module is used for storing various data of the wind power prediction system;
the numerical weather forecast processing module receives and analyzes numerical weather forecast data acquired from a numerical weather forecast server through a reverse isolation device, and stores the analyzed numerical weather forecast data in the database module;
the monitoring system data processing module acquires real-time power data of a wind power plant in a wind power plant booster station monitoring system and a wind power plant fan monitoring system, and real-time power data and meteorological data of each fan and stores the data into the database module; a firewall is arranged between the monitoring system data processing module and the wind farm booster station monitoring system and the wind farm fan monitoring system;
the virtual anemometer tower module acquires real-time meteorological data of each fan from the database module, calculates the virtual anemometer tower data and stores the virtual anemometer tower data in the database module;
the prediction module acquires numerical weather forecast data, power data and virtual anemometer tower data from the database module, establishes a prediction model, obtains prediction data according to the prediction model and stores the prediction data in the database module;
the user interface module is used for displaying the real-time data acquired by the monitoring system data processing module and the prediction data of the prediction module;
and the reporting data interface is used for reporting the prediction data of the prediction module and the virtual anemometer tower data.
Further, the virtual anemometer tower data comprises wind speed, wind direction, temperature, humidity, air pressure and air density, and is calculated in the following way:
the method comprises the steps of sequencing fans according to the height of a hub of each fan, grouping the sequenced fans according to the number of wind measuring layers required by a wind measuring tower, and calculating the average value of the wind speed, the wind direction, the temperature, the humidity and the power of each group of fans to be used as the wind speed, the wind direction, the temperature and the humidity data of different wind measuring layers of a virtual wind measuring tower and the average power data of the group of fans;
according to the average power P of each group of fansaAnd the wind speed V corresponding to the wind measuring layer of the virtual wind measuring toweraAnd wind energy utilization coefficient C of the fanpAnd calculating the air density rho of the wind measuring layer of the virtual wind measuring tower according to the wind sweeping area A of the wind wheel of the fan, wherein the calculation formula is as follows:
according to the formula of air pressure, air density and temperature, calculating the air pressure p of different wind measuring layers of the virtual wind measuring toweraThe calculation formula is as follows:
wherein p issIs at standard atmospheric pressure, TaIs the average temperature value.
Further, the meteorological data includes wind speed, wind direction, temperature, and humidity.
Further, the prediction data includes short-term wind power prediction data, ultra-short-term wind power prediction data, and wind speed prediction data.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the system of the invention obtains the virtual anemometer tower data by utilizing the fan power data and the meteorological data, can meet the requirements of wind power prediction and data reporting on the premise of not depending on an entity anemometer tower, has practical application value and is worthy of popularization.
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FIG. 1 is an architectural diagram of the system of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
As shown in fig. 1, this embodiment provides a wind power prediction system based on a virtual anemometer tower, which includes a numerical weather forecast server, a reverse isolation device, a database module, a numerical weather forecast processing module, a monitoring system data processing module, a virtual anemometer tower module, a prediction module, a user interface module, and a reporting data interface.
And the numerical weather forecast server acquires numerical weather forecast data of the wind power plant provided by a numerical weather forecast service provider through an Internet network.
The reverse isolation device is located between the numerical weather forecast server and the numerical weather forecast processing module in the wind power plant safety zone II and used for guaranteeing the safety of data transmission across the safety zone.
And the database module is positioned in a safety zone II of the wind power plant and is used for storing various data of the wind power prediction system.
The numerical weather forecast processing module receives and analyzes numerical weather forecast data acquired from the numerical weather forecast server through the reverse isolation device, and stores the analyzed numerical weather forecast data in the database module.
The monitoring system data processing module collects real-time power data of a wind power plant in a wind power plant booster station monitoring system and a wind power plant fan monitoring system in a wind power plant safety area I, real-time power data of each fan, and meteorological data such as wind speed, wind direction, temperature, humidity and the like, and stores the meteorological data into the database module; and a firewall is arranged between the monitoring system data processing module and the wind farm booster station monitoring system and the wind farm fan monitoring system.
The virtual anemometer tower module acquires real-time meteorological data such as wind speed, wind direction, temperature, humidity and the like of each fan from the database module, calculates virtual anemometer tower data including the wind speed, the wind direction, the temperature, the humidity, the air pressure and the air density, and stores the data into the database module.
The prediction module acquires numerical weather forecast data, power data and virtual anemometer tower data from the database module, establishes a prediction model, obtains prediction data including short-term wind power prediction data, ultra-short-term wind power prediction data, wind speed prediction data and the like according to the prediction model, and stores the prediction data in the database module.
The user interface module is used for displaying the real-time data collected by the monitoring system data processing module and the prediction data of the prediction module.
And the reporting data interface is used for reporting the prediction data of the prediction module and the virtual anemometer tower data.
The virtual anemometer tower data is calculated in the following way:
the method comprises the steps of sequencing fans according to the height of a hub of each fan, grouping the sequenced fans according to the number of wind measuring layers required by a wind measuring tower, and calculating the average value of the wind speed, the wind direction, the temperature, the humidity and the power of each group of fans to be used as the wind speed, the wind direction, the temperature and the humidity data of different wind measuring layers of a virtual wind measuring tower and the average power data of the group of fans;
according to the average power P of each group of fansaAnd the wind speed V corresponding to the wind measuring layer of the virtual wind measuring toweraAnd wind energy utilization coefficient C of the fanpAnd calculating the air density rho of the wind measuring layer of the virtual wind measuring tower according to the wind sweeping area A of the wind wheel of the fan, wherein the calculation formula is as follows:
according to the formula of air pressure, air density and temperature, calculating the air pressure p of different wind measuring layers of the virtual wind measuring toweraThe calculation formula is as follows:
wherein p issIs at standard atmospheric pressure, TaIs the average temperature value.
Of course, in addition to the above, the virtual anemometer tower data may also be calculated in other possible ways.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (4)
1. The utility model provides a wind power prediction system based on virtual anemometer tower which characterized in that: the system comprises a numerical weather forecast server, a reverse isolation device, a database module, a numerical weather forecast processing module, a monitoring system data processing module, a virtual anemometer tower module, a prediction module, a user interface module and a reporting data interface;
the numerical weather forecast server acquires numerical weather forecast data of the wind power plant provided by a numerical weather forecast service provider through an Internet network;
the reverse isolation device is positioned between the numerical weather forecast server and the numerical weather forecast processing module and is used for ensuring the safety of data transmission across a safety zone;
the database module is used for storing various data of the wind power prediction system;
the numerical weather forecast processing module receives and analyzes numerical weather forecast data acquired from a numerical weather forecast server through a reverse isolation device, and stores the analyzed numerical weather forecast data in the database module;
the monitoring system data processing module acquires real-time power data of a wind power plant in a wind power plant booster station monitoring system and a wind power plant fan monitoring system, and real-time power data and meteorological data of each fan and stores the data into the database module; a firewall is arranged between the monitoring system data processing module and the wind farm booster station monitoring system and the wind farm fan monitoring system;
the virtual anemometer tower module acquires real-time meteorological data of each fan from the database module, calculates the virtual anemometer tower data and stores the virtual anemometer tower data in the database module;
the prediction module acquires numerical weather forecast data, power data and virtual anemometer tower data from the database module, establishes a prediction model, obtains prediction data according to the prediction model and stores the prediction data in the database module;
the user interface module is used for displaying the real-time data acquired by the monitoring system data processing module and the prediction data of the prediction module;
and the reporting data interface is used for reporting the prediction data of the prediction module and the virtual anemometer tower data.
2. The wind power prediction system based on the virtual anemometer tower of claim 1, wherein: the virtual anemometer tower data comprise wind speed, wind direction, temperature, humidity, air pressure and air density, and are calculated in the following mode:
the method comprises the steps of sequencing fans according to the height of a hub of each fan, grouping the sequenced fans according to the number of wind measuring layers required by a wind measuring tower, and calculating the average value of the wind speed, the wind direction, the temperature, the humidity and the power of each group of fans to be used as the wind speed, the wind direction, the temperature and the humidity data of different wind measuring layers of a virtual wind measuring tower and the average power data of the group of fans;
according to the average power P of each group of fansaAnd the wind speed V corresponding to the wind measuring layer of the virtual wind measuring toweraAnd wind energy utilization coefficient C of the fanpAnd calculating the air density rho of the wind measuring layer of the virtual wind measuring tower according to the wind sweeping area A of the wind wheel of the fan, wherein the calculation formula is as follows:
according to the formula of air pressure, air density and temperature, calculating the air pressure p of different wind measuring layers of the virtual wind measuring toweraThe calculation formula is as follows:
wherein p issIs at standard atmospheric pressure, TaIs the average temperature value.
3. The wind power prediction system based on the virtual anemometer tower of claim 1, wherein: the meteorological data includes wind speed, wind direction, temperature, and humidity.
4. The wind power prediction system based on the virtual anemometer tower of claim 1, wherein: the prediction data comprises short-term wind power prediction data, ultra-short-term wind power prediction data and wind speed prediction data.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201910620U (en) * | 2010-11-18 | 2011-07-27 | 中国电力科学研究院 | Wind power forecasting system |
| CN106547996A (en) * | 2016-12-08 | 2017-03-29 | 贵州电网有限责任公司电力科学研究院 | A kind of virtual anemometer tower construction method of wind energy turbine set |
| CN106779208A (en) * | 2016-12-08 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of wind-powered electricity generation ultra-short term power forecasting method based on virtual anemometer tower technology |
| CN109784563A (en) * | 2019-01-18 | 2019-05-21 | 南方电网科学研究院有限责任公司 | Ultra-short-term power prediction method based on virtual anemometer tower technology |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201910620U (en) * | 2010-11-18 | 2011-07-27 | 中国电力科学研究院 | Wind power forecasting system |
| CN106547996A (en) * | 2016-12-08 | 2017-03-29 | 贵州电网有限责任公司电力科学研究院 | A kind of virtual anemometer tower construction method of wind energy turbine set |
| CN106779208A (en) * | 2016-12-08 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of wind-powered electricity generation ultra-short term power forecasting method based on virtual anemometer tower technology |
| CN109784563A (en) * | 2019-01-18 | 2019-05-21 | 南方电网科学研究院有限责任公司 | Ultra-short-term power prediction method based on virtual anemometer tower technology |
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