Designing a parametric-analytical tool to predict voltage collapse and
analyse malfunctions in an electricity transmission network
Abstract
Today’s electricity systems need to be more resilient, not only in the
face of ever-increasing loads, but also with the accelerating
penetration of renewable energy. However, due to environmental
constraints and ever-increasing loads, these systems are often operated
beyond their thermal capacity. When operating at the limit of their
capacity, electrical systems can be affected by voltage and line
instabilities. Various stability indices have been proposed in the
literature for monitoring and predicting network stability, but their
effectiveness is not always satisfactory. The present work has been
devoted to the development of a relevant and effective analytical tool
for the prediction of network collapse. The effectiveness and
applicability of this tool were validated using standard IEEE 14 and 30
bus systems. In fact, this tool, known as the Complex Stability Index
for Transmission Line (CSITL), performs better than traditional line
voltage stability indices. At base load, line 1-5 of the IEEE 14 bus
system is the most critical, carrying an apparent power of 78 MVA, i.e.
78% of the limit. For this line, the CSITL, NCPI and FVSI indices are
0.9963, 0.1826 and 0.0629 respectively. For the most critical line of
the IEEE 30 bus system at base load, these indices are 0.7229, 0.0849
and 0.0419 respectively. The application of CSITL to the 14-bus and
30-bus test networks shows that it remains a powerful and excellent tool
for effective and efficient management of transport networks, even in a
disrupted context.