Identifying Feasibility Region Boundaries in Power Systems with Multiple VSCsCitation formats

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Identifying Feasibility Region Boundaries in Power Systems with Multiple VSCs. / Chen, Youhong; Preece, Robin; Barnes, Mike.

In: IEEE Transactions on Power Systems, 07.05.2022.

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@article{7d792f56458240b3ab0c0a8988be0270,
title = "Identifying Feasibility Region Boundaries in Power Systems with Multiple VSCs",
abstract = "It is anticipated that a large number of voltage source converters (VSCs) will be integrated into future power sys-tems, which can potentially be detrimental to system stability. Pre-vious work has utilized an impedance-based approach to analyze the feasibility region boundaries of power systems with multiple VSCs. However, impedance-based modeling limits the analysis of the system feasibility region to just two or three dimensions. Hence, this paper develops a methodology based on bifurcation theory that enables the system multi-dimensional feasibility region to be identified efficiently with consideration of multiple different varying parameters. The developed methodology is generalized so that it can be applied to identify system feasibility region bounda-ries in other power systems with multiple varying parameters. The partial Spearman correlation coefficient is adopted in this paper to identify the key parameters that affect the feasibility region boundary. Additionally, the calculated correlation indices quan-tify the interactions between the control loops VSCs in the system. The proposed methodology is verified against other analytical methods and the impact of key parameter variation on the system feasibility region boundaries is discussed.",
author = "Youhong Chen and Robin Preece and Mike Barnes",
year = "2022",
month = may,
day = "7",
language = "English",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "IEEE",

}

RIS

TY - JOUR

T1 - Identifying Feasibility Region Boundaries in Power Systems with Multiple VSCs

AU - Chen, Youhong

AU - Preece, Robin

AU - Barnes, Mike

PY - 2022/5/7

Y1 - 2022/5/7

N2 - It is anticipated that a large number of voltage source converters (VSCs) will be integrated into future power sys-tems, which can potentially be detrimental to system stability. Pre-vious work has utilized an impedance-based approach to analyze the feasibility region boundaries of power systems with multiple VSCs. However, impedance-based modeling limits the analysis of the system feasibility region to just two or three dimensions. Hence, this paper develops a methodology based on bifurcation theory that enables the system multi-dimensional feasibility region to be identified efficiently with consideration of multiple different varying parameters. The developed methodology is generalized so that it can be applied to identify system feasibility region bounda-ries in other power systems with multiple varying parameters. The partial Spearman correlation coefficient is adopted in this paper to identify the key parameters that affect the feasibility region boundary. Additionally, the calculated correlation indices quan-tify the interactions between the control loops VSCs in the system. The proposed methodology is verified against other analytical methods and the impact of key parameter variation on the system feasibility region boundaries is discussed.

AB - It is anticipated that a large number of voltage source converters (VSCs) will be integrated into future power sys-tems, which can potentially be detrimental to system stability. Pre-vious work has utilized an impedance-based approach to analyze the feasibility region boundaries of power systems with multiple VSCs. However, impedance-based modeling limits the analysis of the system feasibility region to just two or three dimensions. Hence, this paper develops a methodology based on bifurcation theory that enables the system multi-dimensional feasibility region to be identified efficiently with consideration of multiple different varying parameters. The developed methodology is generalized so that it can be applied to identify system feasibility region bounda-ries in other power systems with multiple varying parameters. The partial Spearman correlation coefficient is adopted in this paper to identify the key parameters that affect the feasibility region boundary. Additionally, the calculated correlation indices quan-tify the interactions between the control loops VSCs in the system. The proposed methodology is verified against other analytical methods and the impact of key parameter variation on the system feasibility region boundaries is discussed.

M3 - Article

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

ER -