Wind power plant power prediction method considering atmospheric disturbance effect

A technology for power prediction and atmospheric disturbance, applied in prediction, data processing applications, instruments, etc., and can solve problems such as the impossibility of obtaining high prediction accuracy

Active Publication Date: 2015-04-08
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] Most of the existing wind power prediction technologies rely on improving various numerical algorithms to improve the prediction accuracy. At present, there is no prediction method that takes into ac

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  • Wind power plant power prediction method considering atmospheric disturbance effect
  • Wind power plant power prediction method considering atmospheric disturbance effect
  • Wind power plant power prediction method considering atmospheric disturbance effect

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Embodiment Construction

[0043] The invention proposes a new idea and a new perspective on the wind farm power prediction method. Considering the influence of nonlinear factors in the atmospheric system on wind speed changes, the atmospheric nonlinear Lorenz system is regarded as a disturbance model, and the atmospheric nonlinear disturbance variables are defined to eliminate the nonlinear factors contained in the original wind speed, and optimize the input of the power prediction model. This enables higher-precision power prediction. Below in conjunction with embodiment the present invention is described in detail:

[0044] Step 1: This embodiment uses the wind speed and power data recorded every 10 minutes from Sotavento wind farm in Galicia from February 1, 2014 to February 28, and its sample size is 4028 (total sample size is 4032, due to There are four missing values ​​in the original data caused by the wind tower or wind conditions, which are discarded and rearranged into 4028 data), which are ...

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Abstract

The invention relates to a wind power plant power prediction method considering an atmospheric disturbance effect. The method comprises the following steps of regarding an atmosphere nonlinear Lorenz system as a disturbance model, defining atmosphere nonlinear disturbance variables to eliminate nonlinear factors contained in original air speed data, and optimizing the input of a power prediction model, so that the wind power prediction with higher accuracy can be realized. According to the wind power plant power prediction method considering the atmospheric disturbance effect, on the basis of a conventional power prediction method, a power prediction disturbance formula is utilized to carry out nonlinear disturbance correction on a wind speed prediction result, and the influence of some nonlinear disturbance factors existing in original wind speed on the prediction result is eliminated, so that the aim of accurately predicting wind power is achieved. The experiment result shows that according to the method, the prediction accuracy of wind energy can be greatly improved, and the development of wind power industry is greatly promoted.

Description

technical field [0001] The invention relates to a method capable of accurately predicting the wind speed of a wind farm, belonging to the technical field of power generation. Background technique [0002] The development and utilization of new energy is an important way to solve the current global energy shortage and the deterioration of the ecological environment. Wind energy is a clean renewable energy with abundant resources and wide distribution. Wind power generation can realize large-scale and effective utilization of wind energy resources. According to statistics from the Global Wind Energy Association, by the end of 2013, the cumulative installed wind power capacity in the world had reached 318,117MW, an increase of more than five times compared with the statistical data 10 years ago. During the operation of wind farms, wind is one of the most critical meteorological factors affecting power changes. The unique random fluctuation and intermittency of wind energy mak...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 张亚刚杨京云王康成王增平
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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