Wind power assessment method based on cubic spline interpolation curve-fitting

Abstract

The invention belongs to the field of wind prediction for power systems and particularly relates to a wind power assessment method based on cubic spline interpolation curve-fitting. The method includes the steps: 1, on the day before production, a farm wind power prediction system predicts wind power output condition; 2, a generation plan is formed in a power plant according to the prediction; 3, the generation plan is reported to a scheduling center; 4, the scheduling center assesses safety of the generation plan; 5, on the day of production, a power farm implements power generation according to the generation plan; meanwhile, on the day of production, a farm model machine detects actual wind power output condition; 6, by means of a cubic spline method, data of the farm model machine is converted into a continuous curve; 7, a wind power curve predicted by the farm wind power prediction system is compared with the wind power curve subjected to cubic spline interpolation curve-fitting; 8, assessment results are acquired. The method has the advantage that results of the fitting of cubic curves are closer to the engineering practical conditions than those of assessment by linear interpolation.

Description

technical field [0001] The invention belongs to the field of wind power prediction in electric power systems, and in particular relates to a wind power assessment method based on cubic spline interpolation curve fitting. Background technique [0002] With the development of social economy, the shortage of primary energy sources such as coal and oil is becoming more and more serious. Accelerating the development of new energy industries represented by wind power has become the general trend. Wind power has the disadvantages of unstable output and variable wind power. If the overall planning of wind farm power generation cannot be reasonably formulated, the unstable wind power will have an impact on the stability of urban and rural power supply systems, increase maintenance costs, and even affect urban residents' health in severe cases. Normal life. The large-scale construction of wind farms has increased the difficulty of formulating reasonable grid planning for regional po...

AI Technical Summary

Problems solved by technology

The interpolation process can specifically use methods such as linear (1inear) interpolation and cubic spline (spline) interpolation. The most commonly used method in curve interpolation is linear interpolation, which is the simplest and easiest way to estimate the value between two backbone points. However, the linear interpolation method has the following disadvantages. First, the curve cannot display the convex arc connecting the main points; second, it will form artificial "points" (spikes) )

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