Abstract (EN):
One of the major concerns in Power Systems is
surely related with their reliability. Long-term expansion
planning studies traditionally use the well-known deterministic
"N-1" contingency criterion. However, this criterion is applied
based on worst-case analyses and the obtained plan may
originate over-investments. Differently, probabilistic reliability
approaches can incorporate different type of uncertainties that
affect power systems. In this work, a long term multi-criteria
AC Transmission Expansion Planning model was developed
considering two objectives - the probabilistic reliability index
Expected Energy Not Supplied (EENS) and the investment cost.
The Pareto-Front associated with these two objectives was
obtained using Genetic Algorithms and the final solution was
selected using a fuzzy decision making function. This approach
was applied to the IEEE 24 Bus Test System and the results
ensure its robustness and efficiency.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
5
License type: