Determining Voltage Control Areas in Large Scale Power Systems Based on Eigenanalysis of the QV Sensitivity Matrix

Bulk power systems failures caused by voltage instability phenomena have become more frequent during the last years. Voltage control schemes capable of keeping voltage magnitude within specified limits, automatically, for a specific area of the power system can prevent this problem. The identificati...

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Bibliographic Details
Published in:Revista IEEE América Latina 2021-02, Vol.19 (2), p.182-190
Main Authors: Henriques, Ricardo Mota, Passos Filho, Joao Alberto, Taranto, Glauco Nery
Format: Article
Language:English
Subjects:
Cathode ray tubes
Control stability
Eigenanalysis
Eigenvalues
Eigenvectors
Electric potential
Jacobian matrices
Load flow
Matrix decomposition
Newton-Rapshon Power Flow
Power
Power system stability
Sensitivity analysis
Voltage
Voltage control
Voltage Control Areas
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Summary:Bulk power systems failures caused by voltage instability phenomena have become more frequent during the last years. Voltage control schemes capable of keeping voltage magnitude within specified limits, automatically, for a specific area of the power system can prevent this problem. The identification of potential voltage control areas of the power system is an essential part of voltage control scheme design. In some European countries these schemes have being contributing significantly both for safety and for the quality of operation. Regional and coordinated voltage control schemes are powerful mechanisms to avoid or mitigate this voltage instability phenomena. These control schemes known as secondary voltage control are based on pilot nodes and control areas, and their correct identifications are fundamental to an efficient voltage profile regulation. This paper proposes a methodology to identify voltage control areas based on the eigenvalues and eigenvectors of the load flow QV sensitivity matrix. The results are compared with the traditional voltage sensitivity analysis methods.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2021.9443059