Wind speed classification correction method for power grid wind speed forecast
A technology of wind speed and power grid, applied in forecasting, instrument, character and pattern recognition, etc., can solve the problems of large wind speed forecast error, adverse foreign object warning, etc., and achieve the effect of reducing error
Pending Publication Date: 2022-04-12
EMERGENCY MANAGEMENT CENT OF STATE GRID SHANDONG ELECTRIC POWER +1
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[0006] In order to solve the problem that the existing correction method has a large error in the wind speed forecast during the windy period, which is not conducive to being used for foreign object early warning for power grid services, the present invention provides a wind speed classification correction method for power grid wind speed forecast
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[0029]The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.
[0030] The wind speed classification and correction method for grid wind speed forecasting includes the following steps:
[0031] S1. Obtain wind speed observation sample set 1 and wind speed forecast sample set 1. The total period of wind speed observation sample set 1 and the total period of wind speed forecast sample set are the same, for example, they are the data of the past 365 days.
[0032] S2. Carry out sliding average processing on the wind speed observation sample set 1, the length of the sliding window is N, and a wind speed value Vm is selected according to the sliding average value;
[0033] The N value when executing S2 this time is different from the N value when executing S2 any time before, and this problem is not involved when executing S2 for the first time, that is, the value of N when executing S2 for the ath time is diffe...
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A wind speed classification correction method for power grid wind speed forecast relates to the technical field of wind speed correction, solves the problem of large wind speed forecast error in a strong wind period, and comprises the following steps: carrying out moving average on a wind speed observation sample set I, and selecting a wind speed value Vm; comparing a wind speed observation sample I of the wind speed observation sample set I with Vm, if the wind speed observation sample I is greater than or equal to Vm, marking as x, otherwise, marking as y; the times of x in N hours before and after x are counted, and if z times are reached, the process is recorded as the gale process; marking N hours before and after the wind speed maximum moment in the strong wind process as p; constructing a decision tree classification model by taking a wind speed element and a wind direction element of the wind speed forecast sample set I as classification attributes and taking a wind speed observation sample I corresponding to p as a result attribute; and performing reconstruction and training on p and non-p wind speed observation samples corresponding to the decision tree wind speed classification model to obtain a strong wind and flat wind correction model. According to the invention, the method can well correct both the strong wind and the flat wind, and the corrected forecast error is obviously reduced.
Description
technical field [0001] The invention relates to the technical field of wind speed correction, in particular to a wind speed classification correction method for wind speed forecasting of a power grid. Background technique [0002] The most important part of the power grid system that supports stable power supply in various regions is the transmission line. Because of its height, after erection, the risk of damage to the transmission line seldom comes from man-made sabotage, but more from force majeure caused by meteorological factors. For example, trips caused by icing on wires caused by low temperature in winter, and risks such as foreign object intrusion, dancing, and tree and bamboo discharge disasters caused by strong winds that need to be guarded all year round. The above disasters will cause line trips, short circuits, and other damage. And because of this type of weather, follow-up inspection, construction, rescue and other work are not smooth. Therefore, whether the...
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Login to View More IPC IPC(8): G06K9/62G06Q10/04
Inventor 孙世军韩乐琼康文明张永山韩洪郭禹琛许永刚赵晓栋朱坤双张晓鑫王明军曹倩张鹏
Owner EMERGENCY MANAGEMENT CENT OF STATE GRID SHANDONG ELECTRIC POWER