A New Approach Based on PCA for Identifying Power Flow Control Infeasibilities

This paper describes a new methodology to identify conflicts between power flow control devices that can cause New-ton's method convergence problems. The proposed technique is based on applying the principal component analysis (PCA) to the control sensitivity matrix. This matrix directly relate...

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Bibliographic Details
Published in:	2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) pp. 1 - 5
Main Authors:	GuimarAes, Humberto Almeida, Filho, Joao Alberto Passos
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15-09-2021
Subjects:	adverse control interactions Eigenvalues and eigenfunctions Jacobian matrices Newton method Object recognition power flow control infeasibilities power flow controls Principal component analysis Sensitivity Smart grids Sparse matrices Visualization
Online Access:	Get full text
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Summary:	This paper describes a new methodology to identify conflicts between power flow control devices that can cause New-ton's method convergence problems. The proposed technique is based on applying the principal component analysis (PCA) to the control sensitivity matrix. This matrix directly relates the control mismatch functions and control variables. The results presented for small-scale and large-scale power systems were compared to the analysis of the eigenvalues of the power flow Jacobian matrix, indicating the proposed methodology effectiveness.
ISSN:	2643-8798
DOI:	10.1109/ISGTLatinAmerica52371.2021.9543070