Research Article

Assessment of Global Voltage Stability Margin through Radial Basis Function Neural Network

Table 1

Comparative analysis of different voltage stability indicators.

Name of indicatorProperties of indicatorSummary

GVSM [3],
L-index [4],
VCPI [5],
ENVCI [6],
VSI [7],
LCPI [8]
Based on Newton Raphson (NR) load flow solution() The line indices are suitable for constant power load. The results may be pessimistic for changed load profile.
() The convergence of NR algorithm is affected by the vicinity of voltage collapse point.

References [9, 15]Index based on sensitivity analysis() Sensitive based methods are computationally intensive and required computation of derivatives.
() Dynamic operating conditions introduce errors in the calculations of the derivatives. Moreover the correlation between the voltage and reactive power should be continuous in nature.

References [10ā€“14]These indices are based on static and dynamic bifurcations() Bifurcations can be detected through the calculation of eigenvalues. Eigenvalues are system specific and vulnerable to topological changes.
() These indicators cannot be useful for loadability margin evaluation and relative voltage stability determination.