A robust scheduling method considering wind power and load prediction uncertainty
A scheduling method and uncertainty technology, applied in wind power generation, electrical digital data processing, special data processing applications, etc., to achieve the effect of reducing scheduling costs
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[0023] The embodiments will be described in detail below in conjunction with the accompanying drawings.
[0024] Such as figure 1 As shown, a method of robust scheduling considering the uncertainty of wind power and load forecasting includes the following steps:
[0025] Step A. Use the correlation coefficient matrix method to describe the correlation between the input load and wind power prediction error, and express the correlated random variables into a random variable matrix independent of each other through the Cholesky method.
[0026] Step A1: Let the input sample matrix be W=[w 1 ,w 2 ,...w l ] T , and its correlation coefficient matrix is C w .
[0027]
[0028] Each element of the matrix can be obtained by formula (1):
[0029]
[0030] In formula (2): and are the input variable w i and w j standard deviation; C ov (w i ,w j ) is the input variable w i and w j covariance of . Since the matrix C w is a positive definite matrix, which underg...
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