Regional wind power forecasting method

A wind power forecasting and area technology, applied in forecasting, electrical components, circuit devices, etc., can solve the problems of low forecasting accuracy and failure to consider the correlation and aggregation characteristics of wind power data, and achieve the effect of improving accuracy

Inactive Publication Date: 2017-06-13
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

However, the method of directly predicting wind power output does not take into account the association and aggregation characteristics of wind power data, resulting in low prediction accuracy

Method used

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Embodiment Construction

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.

[0023] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, Other drawings can also be obtained from these drawings without any creative effort.

[0024] A method for forecasting regional wind power, comprising the following steps:

[0025] Step 1. Collect wind power data of each wind farm in the area connected to the same line topology.

[0026] Optionally, the line topology is a single grid transmission line that only connects to multiple wind farms. The wind power data of the wind farm incl...

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Abstract

The invention relates to a regional wind power forecasting method and belongs to the technical field of wind power generation. The method includes collecting wind power data of different wind power fields in a region connected to one circuit typology; according to the correlation and aggregation between the power data and wind speed data in the wind power data of different wind power fields, grouping the wind power fields in the region; according to the wind power data of the wind power fields in different wind power groups, establishing a forecasting model; according to the forecasting model, forecasting the power of different wind power group; superposing the obtained wind power of the different wind power fields and obtaining a regional wind power forecasting value. According to the invention, the correlation and aggregation between the wind speed data and the power data of the different wind power fields in the region are taken into account, wind power data aggregation is realized by adopting a clustering algorithm and regional wind power forecasting is realized through establishing a depth neural network model. Regional wind power forecasting accuracy is improved.

Description

technical field [0001] The application relates to a regional wind power prediction method, which belongs to the technical field of wind power generation. Background technique [0002] Wind power generation is a fluctuating and intermittent power source. Wind power output has the characteristics of strong randomness, obvious intermittency, and no power adjustment capability. The direct grid connection of wind power will have a great impact on the stability and power quality of the power system. Some regions even choose to limit the grid-connected power of wind farms to ensure the normal operation of the grid. Therefore, accurate ultra-short-term forecasting of wind power can provide data support for grid dispatchers, help reduce the spinning reserve capacity of the grid, and improve the economy and stability of the grid system. [0003] At present, the construction of wind farms is usually clustered. Multiple wind farms are integrated into the power grid system through the s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/00H02J2203/20Y02A30/00Y04S50/16
Inventor 陆海苏适严玉廷杨洋杨家全
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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