A Wind Farm Power Curve Modeling Method Based on Support Vector Regression

Abstract

The invention relates to a wind farm power curve modeling method based on support vector regression. First, the wind speed-power data of the wind farm is collected to obtain the upper and lower bounds of the regression curve for fitting the interval model; When the upper and lower bounds of the model need to be solved, the convex quadratic programming problem needs to be solved. According to the equivalence principle of the norm, the transformation from the second norm to the one norm is carried out, and then the linear programming problem is transformed into the one norm; then, the control model structure is The optimization problem of complexity control is applied to regression model identification, and the optimization problem of regression model identification is established by minimizing the maximum approximation error. For the optimization problem of minimizing structural risk, a polynomial kernel is introduced to obtain a new optimization problem for the upper and lower regression models. Compared with the convex quadratic programming solution of traditional support vector regression, the invention has high computing efficiency and fast 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 the scale of wind farms, the impact of power fluctuations of wind farms 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 wind speed and wind turbine output, that is, the wind speed-power characteristic curve of wind farms . If the wind farm is modeled in detail, the computational complexity and computation time will be greatly increased. Therefore, currently, the coherent equivalence method is generally used to divide the units in the wind farm to be equivalen...

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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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