IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 21, NO. 3, AUGUST 2006 1267
Local Voltage-Stability Index
Using Tellegen’s Theorem
Ivan
ˇ
Smon, Student Member, IEEE, Gregor Verbiˇ c, Member, IEEE, and Ferdinand Gubina, Senior Member, IEEE
Abstract—In the paper, the Tellegen’s theorem and adjoint net-
works are used to derive a new, local voltage-stability index. The
new approach makes it possible to determine the Thevenin’s pa-
rameters in a different way than adaptive curve-fitting techniques,
from two consecutive phasor measurements.
The new index was rigorously tested on different test systems.
The results were obtained on a static two-bus test system and on
the dynamic Belgian–French 32-bus test system that includes full
dynamic models of all power-system components crucial to the
voltage instability analysis. The results show advantages of the
proposed index: it is simple, computationally very fast, and easy
to implement in the wide-area monitoring and control center or
locally in a numerical relay.
Index Terms—Adjoint networks, local phasors, Tellegen’s the-
orem, Thevenin’s equivalent, voltage-stability index.
I. INTRODUCTION
P
OWER systems are forced to operate ever closer to their
load limits because of the demands of deregulated elec-
tricity markets. As a result, several blackouts have occurred due
to voltage instability. This means that voltage stability has be-
come a matter of serious concern for system operators and is a
subject of a lot of investigation due to its importance in terms
of the system security and power quality. Significant efforts are
still being directed toward definitions, classifications, new con-
cepts, practices, and tools for solving the voltage-stability and
security-analysis problems [1], [2].
The voltage-instability problem is characterized by voltage
uncontrollability at certain locations in a power network after
a disturbance. The problem occurs more frequently in stressed
networks with reduced stability margins and/or reduced re-
active-power reserves. The voltage instability is basically a
dynamic phenomenon with rather slow dynamics and a time
domain ranging from a few seconds to some minutes or more.
Although the voltage instability is a complex problem, it is very
important that system operators use quick, simple, and correct
methods to calculate the distance to the worst case: the voltage
collapse.
Many system-oriented approaches and long-term voltage-sta-
bility methods are based on static models because of the high
dimensionality and complexity of stability problems. For
Manuscript received April 27, 2005; revised January 17, 2006. This work was
supported by the Ministry of Higher Education, Science, and Technology of the
Republic of Slovenia. Paper no. TPWRS-00254-2005.
The authors are with the Laboratory of Power Systems and High Voltage,
Faculty of Electrical Engineering, University of Ljubljana, SI-1000 Ljubljana,
Slovenia (e-mail: ivo.smon@fe.uni-lj.si).
Digital Object Identifier 10.1109/TPWRS.2006.876702
this reason, control-actions, time-range, quasi-steady-state
time-domain simulations are used [3] to simplify matters. The
results of such studies can also be used for screening purposes
to identify critical cases that require a more detailed or dynamic
analysis [4].
Most methods are based on executing a large number of
power flows using conventional models and the P-V or Q-V
curves at selected buses [5], [6]. Sensitivity methods based on
linearization around an operating point (the solved power-flow
case) are usually repeated at several points along the P-V
or Q-V curves. Together with modal analysis [7], all these
methods use the system’s Jacobian matrix. To avoid uncertainty
of the load-flow convergence, the continuation power flow [8]
allows tracing of the solution path passing through the loading
margin; this is the most widely accepted index for determining
the distance of the power system state to the voltage collapse.
Methods to assess the voltage stability of a power system, such
as bifurcations, direct methods, energy functions, etc., can be
found in the literature [2].
The main idea behind local methods is that the local phasors
contain enough information to directly detect the voltage-
stability margin using their measurements. This concept is
attractive, since real-time measurements of the voltage and
current phasors at the system buses are already available from
the phasor measurement units (PMUs) installed in many power
systems [9]. In addition to the benefits of small computational
effort and simplicity, local methods also give a very good
insight into the voltage-collapse process and can easily be used
for online system monitoring.
The local method proposed by Strmˇ cnik and Gubina [10] is
based on the power-system decomposition on reactive-power
radial transmission paths modeled as two-bus equivalents.
In addition to proximity to the voltage collapse, the method
also considers exhaustion of the generator’s reactive-power
reserves. However, two indicators mean that the determination
of the problem is not straightforward. Another weakness of
this method is a complex identification of critical buses in
the system and the fact that the electric distance of the reac-
tive-power source from the affected load bus is not considered
when calculating the generator’s reactive-power reserve.
Verbiˇ c and Gubina [11] proposed a local method based on the
fact that, in vicinity of the voltage collapse, the entire increase
in the apparent power loading at the sending end of a line is due
to the supply of transmission losses. The main shortfall of this
method lies in additional checking if the line is loaded below its
natural loading.
Vu et al. [12] proposed a local method based on the power-
transfer impedance-matching principle. The measured data are
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