Power curve fitting data preprocessing method and device based on density distribution
A data preprocessing and power curve technology, applied in the field of wind power, can solve the problems of reducing wind power prediction accuracy and errors, and achieve strong universality, engineering application value, high accuracy, and strong operability
Active Publication Date: 2020-07-28
国能日新科技股份有限公司
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No matter which method has its own model preference and forecast characteristics, no matter which method requires a large amount of wind farm operation data, however, the wind farm operation data will be affected by various factors during the generation and collection process. This brings errors. If these data are directly introduced into the wind power prediction model, the prediction accuracy of wind power will be significantly reduced. Therefore, it is necessary to eliminate abnormal data and screen effective wind power sample data.
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[0045] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.
[0046] In order to make the purpose and features of the patent of the present invention more obvious and easy to understand, the specific implementation of the patent of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the drawings are all in a very simplified form and use imprecise ratios, which are only used to facilitate and clearly assist the purpose of illustrating the patent embodiments of the present invention.
[0047] The design idea of the present invention is that because the electric field operation data is collected from the SCADA system, it will be affected by various factors in the process of generation and collection, which will bring errors. If this part of data is more introduced into the power model , will signif...
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The invention provides a power curve fitting data preprocessing method and device based on density distribution. The method comprises the following steps: acquiring actual historical operation wind speed, power and wind turbine generator information of a wind turbine generator or a wind power plant, acquiring a power curve according to the spatial density number distribution condition of actual historical power, and preprocessing actual power data according to the power curve. The method provided by the invention is different from a general statistical fitting method, is slightly influenced byabnormal data, is extremely high in accuracy, ensures that all sample sets input by power model training are effective data of a wind power plant, and is simple, easy to understand and high in operability.
Description
technical field [0001] The invention belongs to the field of wind power, and in particular relates to a power curve fitting data preprocessing method and device based on density distribution. Background technique [0002] Wind power generation is a new energy generation method with great development potential. It is clean and pollution-free, and has great commercial development prospects. At the same time, with the increase of wind power grid-connected capacity year by year, the impact of wind power on the grid is becoming more and more serious. In order to reduce the impact of wind power on the grid and protect the stable operation of the grid, the dispatching agency has to take measures to limit the grid-connection of wind farms when necessary. Cause wind energy absorption problem. Accurate forecasting of wind power in advance can ease the peak load of the power system and effectively improve the ability of wind power to be connected to the grid. Therefore, wind power fo...
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IPC IPC(8): G06F17/10
CPCG06F17/10Y02E10/72
Inventor 向婕雍正吴媛
Owner 国能日新科技股份有限公司