Wind power plant fan wind speed prediction method and system based on data fusion
A wind speed prediction and data fusion technology, applied in the wind speed field of wind turbines, can solve problems such as wind curtailment and power limit, and achieve the effects of long prediction period, cost reduction and fault tolerance improvement
Pending Publication Date: 2020-04-10
国能陕西新能源发电有限公司
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Problems solved by technology
As well as the uncoordinated construction of supporting power grids and wind power construction in some areas, the phenomenon of curtailment of wind power is serious
Method used
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[0061] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0062] refer to figure 1 As shown, a data fusion-based wind speed prediction method for wind turbines in a wind farm provided by an embodiment of the present invention includes: S1-S4;
[0063] S1. Obtain historical relevant data of all single wind turbines in the wind farm to be predicted; the relevant data include: wind speed, wind direction, air temperature, air pressure and humidity; and preprocess the relevant data;
[0064] ...
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The invention discloses a wind power plant fan wind speed prediction method and system based on data fusion. According to the method, a fan wind speed prediction model is established according to historical wind speed, wind direction, air temperature, air pressure, humidity, topographic conditions, wind turbine generator running states and other data of a wind power plant, single-fan related datacollected in real time serve as input of the model, and the future fan wind speed of the wind power plant is predicted in combination with the equipment state and the running working condition of a wind power plant unit. The data fusion technology adopted by the invention improves the fault-tolerant function, improves the reliability and maintainability of the system, reduces the cost of information collection, has higher prediction precision and operation speed compared with the existing wind speed prediction system, and has a longer prediction period; according to the predicted wind speed ofthe wind power plant, the angles of the fan blades are adjusted by controlling the variable pitch system, so that the power generation efficiency is optimized.
Description
technical field [0001] The invention relates to the technical field of fan wind speed, in particular to a method and system for predicting wind speed of a fan in a wind farm based on data fusion. Background technique [0002] With the rapid growth of global energy, climate change and ecological environment problems have become increasingly prominent, wind energy, as a renewable energy, has been valued by various countries. Wind energy is a clean and non-polluting renewable energy. It is an effective way to generate electricity by using wind energy to drive fans to rotate to generate electricity. Especially under the increasingly severe challenges of current environmental problems, countries around the world are paying more and more attention to the development of new energy. . In recent years, with the advancement of science and technology, wind power has developed continuously and rapidly in my country. Up to now, the installed capacity of wind farms has increased signific...
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Login to View More IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/24155G06F18/25Y02A90/10Y04S10/50Y02E40/70Y02A30/00
Inventor 包鼎闫润田陈基伟张有金杨周杰朱得利
Owner 国能陕西新能源发电有限公司