Abstract:
Accurate real-time assessment of power systems
voltage stability has been an active area of research in the
past few decades. In the past decade, after the development of
phasor measurement units (PMU), a lot of discussions has been
going on phasor measurement techniques for real-time voltage
stability. The fundamental idea behind these methods is to find
the Thevenin equivalents of the system, and then determine the
voltage stability margin based on the equivalent circuits. Some
approaches also include the use of Artificial Neural Networks
(ANN), for online monitoring of voltage stability margins. These
methods are really fast as compared to the other methods. It
has been shown that if we can obtain the phase angles and
voltage magnitude in real-time from the phasor measurement
units (PMU), then the voltage stability margins can be obtained
in real-time and we can initiate voltage stability control methods.
We are going to discuss Thevenin’s equivalent methods and
Artificial Intelligence methods in detail in this paper. We will
also introduce the traditional methods which were earlier used
for power systems stability assessment such as Time Domain
methods, Static Methods, and Sensitivity methods. We are going
to finally compare these methods and try to give general guidance
on choosing a power stability method.
