Wind power plant power curve modeling method based on support vector regression

Abstract

The invention relates to a wind power plant power curve modeling method based on support vector regression, and the method comprises the steps: firstly the wind speed-power data of a wind power plantis collected, and a regression curve for fitting the upper and lower boundaries of an interval model is obtained; then, when the upper and lower boundaries of the wind power plant interval model are fitted, a convex quadratic programming problem needs to be solved, conversion from a second norm to a first norm is carried out according to the equivalence principle of the norm, and the conversion into the first norm is completed to obtain a linear programming problem; secondly, an optimization problem of control model structure complexity control is applied to regression model identification, and an optimization problem of regression model identification is established by taking minimization of a maximum approximation error as an evaluation criterion; and finally, the optimization problems of the upper and lower edge regression models corresponding to the interval regression model is fused into an optimization problem based on structural risk minimization, and a polynomial kernel is introduced to obtain a new optimization problem of the upper and lower edge regression models. Compared with the traditional convex quadratic programming solution of support vector regression, the methodhas the advantages of high operation efficiency and high solution speed.

Description

technical field [0001] The invention relates to the field of wind farm power curve modeling, in particular to a wind farm power curve modeling method based on support vector regression. Background technique [0002] With the continuous development of wind power technology and the continuous expansion of wind farm scale, the impact of wind farm power fluctuations on the power grid is becoming more and more obvious. In the grid-connected analysis of wind farms, the equivalent modeling of wind farms has become an important research topic, that is, to establish a mathematical model that can characterize the relationship between the wind speed of the wind farm and the output of the wind turbine, that is, the wind speed-power characteristic curve of the wind farm . If the wind farm is modeled in detail, the computational complexity and computational time will be greatly increased. Therefore, at present, the coherent equivalent method is generally used to divide the units in the ...

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Problems solved by technology

[0004] The general wind speed-power curve model is a deterministic model, but due to the constant changes in wind speed and wind direction, the output power of the fan is uncertain, resulting in a large difference between the actual wind speed-power curve of the unit and the standard power curve given by the manufacturer. Affects the accuracy of power system risk analysis and energy storage control, and brings severe challenges to wind power grid integration

However, although the current interval model has taken into account the uncertainty of wind turbine output power, a relatively complete interval model has been established, which can cover wind power operating points and provide information on the interval range of certain power fluctuations. Risk assessment will be too conservative, resulting in resource redundancy in energy storage regulation

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