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Method for predicting slope climbing event under wind power caused by high-speed gust
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A technology of wind power and gust, which is applied in the field of prediction of the event of climbing under wind power caused by high-speed gust
Active Publication Date: 2018-12-18
CHANGCHUN INST OF TECH +1
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[0005] The invention provides a method for predicting slope-climbing events caused by high-speed gusts of wind power, which solves the problem that the amount of data volume is small due to high-speed gusts of slope-climbing events caused by wind power. At the same time, input the data of the two closest wind data collection points to the wind farm, and use these data to construct a high-speed gust attribute list, and then predict whether there is a high-speed gust in a wind farm that will cause a ramp-up event under wind power
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Embodiment 1
[0083] A kind of high-speed gust of the present invention causes the prediction method of climbing event under wind power, comprises the following steps:
[0084] S1, for the wind farm to be predicted, input the historical wind speed data H1 of the wind farm, and input the historical wind speed data D1 and D2 of the two nearest wind data collection points; the analysis start time point tstart, the analysis end time point tend; high-speed gust The list of climbing events under wind power power tlist; the length of wind power characteristic interval fdist; the length of gust prediction interval zdist; the calculation of sampling interval time fgap; the statistics of H1, the maximum value of H1 H1Max, the minimum value of H1 H1Min, the average value of H1 H1Mean, H1 standard deviation H1Stdv;
[0085] H1 is the historical wind speed data of the wind farm to be predicted, which is an array indexed by time, for example, H1[t] represents the wind speed value of a wind farm at time p...
Embodiment 2
[0152] Step S1,
[0153] Input the historical wind speed data H1 of the wind farm, which is the historical wind speed data of a wind farm sampled 1440 times a day for 10 consecutive days from April 1, 2015 to April 10 (see figure 1 );
[0154] Input the wind speed history data D1 of wind data collection point 1, the data wind speed data collection point 1 samples 1440 times of wind speed history data every day for 10 consecutive days from April 1, 2015 to April 10 (see figure 2 );
[0155] The wind speed historical data D2 of wind data collection point 2, the wind speed historical data D1 of wind data collection point 2, the wind speed of wind data collection point 1 was sampled 1440 times a day for 10 consecutive days from April 1 to April 10, 2015 historical data (see image 3 );
[0156] Analysis start time point tstart=2015-4-1 0:0:0;
[0157] Analysis end time point tend=2015-4-1 23:59:59;
[0158] The list of climbing events caused by high-speed gusts of wind power ...
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Abstract
A method for predicting a slope climbing event under wind power caused by a high-speed gust In this method, the wind speed history data of a wind farm is inputted, and the data of two wind data collection points nearest to the wind farm are inputted, and the attribute list of high-speed gust is constructed based on these data, then the climbing event caused by high-speed gust in a wind farm is predicted. The invention not only relies on the data of one wind farm, but also takes the data of two wind data collection points nearest to the wind farm as the auxiliary data for judging, thus solvingthe problem that the amount of the climbing event under the wind power caused by the high-speed gust of the data amount is less. It has high practical significance in the prediction of slope climbingevents under wind power.
Description
Technical field: [0001] The invention belongs to the technical field of wind power prediction, and in particular relates to a prediction method for a slope-climbing event caused by high-speed gusts of wind power. Background technique: [0002] A wind power ramp event refers to a large change in the wind power output of a wind farm or wind power base within a relatively short time scale. The ramp-up event of wind power has the characteristics of strong volatility and uncertainty, which can cause a serious imbalance in power generation / consumption in the system, and then lead to load loss. When gusts of high wind speed appear in the wind farm, causing the wind turbine to reach the cut-out limit of wind speed, it will cause a typical wind power power downhill event, resulting in the problem that the wind farm has wind but no output power, which is very harmful to the power grid; accurate It is very important for the power gridmanagement unit to make management and response pr...
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