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A Novel Continuous Permutation Method for Wind Power Correlation Analysis

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A Novel Continuous Permutation Method for Wind Power Correlation Analysis. / Li, Quan; Zhao, Nan.
In: IEEE Systems Journal, Vol. 16, No. 3, 30.09.2022, p. 4160-4163.

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Li Q, Zhao N. A Novel Continuous Permutation Method for Wind Power Correlation Analysis. IEEE Systems Journal. 2022 Sept 30;16(3):4160-4163. Epub 2022 Feb 11. doi: 10.1109/JSYST.2022.3144969

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Li, Quan ; Zhao, Nan. / A Novel Continuous Permutation Method for Wind Power Correlation Analysis. In: IEEE Systems Journal. 2022 ; Vol. 16, No. 3. pp. 4160-4163.

Bibtex

@article{ee373731541f4f0d93233c8656140922,
title = "A Novel Continuous Permutation Method for Wind Power Correlation Analysis",
abstract = "Wind speeds in geographically adjacent areas are highly correlated, which correspondingly leads to wind power correlation. It is essential to consider the wind power correlation for steady-state related calculations in the modern power system with high wind power penetration. This short article presents a novel continuous permutation method for wind power correlation analysis. With the novel eigen-permutation, the proposed method is applicable to tackle the correlation analysis even the correlation matrix of random variables is not positive definite. A continuous permutation is then proposed to reduce the permutation deviation and, hence, to reduce the error of steady-state related calculations. Simulation results show the effectiveness of the proposed method in dealing with the nonpositive definite correlation matrix of the wind speeds. Also, compared to the traditional methods, the proposed method achieves more than an 80% reduction of the general error in the correlation analysis, which also contributes to higher accuracy in the power flow calculation.",
author = "Quan Li and Nan Zhao",
year = "2022",
month = sep,
day = "30",
doi = "10.1109/JSYST.2022.3144969",
language = "English",
volume = "16",
pages = "4160--4163",
journal = "IEEE Systems Journal",
issn = "1932-8184",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - A Novel Continuous Permutation Method for Wind Power Correlation Analysis

AU - Li, Quan

AU - Zhao, Nan

PY - 2022/9/30

Y1 - 2022/9/30

N2 - Wind speeds in geographically adjacent areas are highly correlated, which correspondingly leads to wind power correlation. It is essential to consider the wind power correlation for steady-state related calculations in the modern power system with high wind power penetration. This short article presents a novel continuous permutation method for wind power correlation analysis. With the novel eigen-permutation, the proposed method is applicable to tackle the correlation analysis even the correlation matrix of random variables is not positive definite. A continuous permutation is then proposed to reduce the permutation deviation and, hence, to reduce the error of steady-state related calculations. Simulation results show the effectiveness of the proposed method in dealing with the nonpositive definite correlation matrix of the wind speeds. Also, compared to the traditional methods, the proposed method achieves more than an 80% reduction of the general error in the correlation analysis, which also contributes to higher accuracy in the power flow calculation.

AB - Wind speeds in geographically adjacent areas are highly correlated, which correspondingly leads to wind power correlation. It is essential to consider the wind power correlation for steady-state related calculations in the modern power system with high wind power penetration. This short article presents a novel continuous permutation method for wind power correlation analysis. With the novel eigen-permutation, the proposed method is applicable to tackle the correlation analysis even the correlation matrix of random variables is not positive definite. A continuous permutation is then proposed to reduce the permutation deviation and, hence, to reduce the error of steady-state related calculations. Simulation results show the effectiveness of the proposed method in dealing with the nonpositive definite correlation matrix of the wind speeds. Also, compared to the traditional methods, the proposed method achieves more than an 80% reduction of the general error in the correlation analysis, which also contributes to higher accuracy in the power flow calculation.

U2 - 10.1109/JSYST.2022.3144969

DO - 10.1109/JSYST.2022.3144969

M3 - Journal article

VL - 16

SP - 4160

EP - 4163

JO - IEEE Systems Journal

JF - IEEE Systems Journal

SN - 1932-8184

IS - 3

ER -