13th International Conference on the European Energy Market - EEM16, Oporto (Portugal). 06-09 junio 2016
Resumen:
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.
Palabras clave: Multi-Criteria and Multi-Year Transmission Expansion Planning, Pareto-Front, Fuzzy Decision Making, EENS, AC-Optimal Power Flow.
DOI: 
https://doi.org/10.1109/EEM.2016.7521182
Publicado en IEEE EEM 2016, pp: 1-5, ISBN: 978-1-5090-1299-2
Fecha de publicación: 2016-06-06.
Cita:
P. Vilaça, J.P. Silva, J.P. Tomé Saraiva, Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs, 13th International Conference on the European Energy Market - EEM16, Oporto (Portugal). 06-09 junio 2016. En: IEEE EEM 2016: Conference proceedings, ISBN: 978-1-5090-1299-2
