This paper proposes a probabilistic approach for assessing the congestion risk associated with the transfers exceeding available transfer capability (ATC). The possible control actions for each critical contingency can be evaluated as a result of an optimization procedure and translated in terms of costs for the system operator. These actions can be stored as 'alternatives' in a table for a multiple criteria decision making (MCDM) study. The congestion management can be seen as a MCDM problem and system operators are the decision makers (DMs). Test results on a realistic power grid are reported
Multiple criteria decision making methodology based on a probabilistic evaluation of ATC for congestion management / DE TUGLIE, Enrico Elio; Dicorato, Maria; LA SCALA, Massimo; Bose, A.. - (2001), pp. 362-367. (Intervento presentato al convegno 22nd International Conference on Power Industry Computer Applications, PICA 2001 tenutosi a Sydney, Australia nel May 20-24, 2001) [10.1109/PICA.2001.932378].
Multiple criteria decision making methodology based on a probabilistic evaluation of ATC for congestion management
DE TUGLIE, Enrico Elio;DICORATO, Maria;LA SCALA, Massimo;
2001-01-01
Abstract
This paper proposes a probabilistic approach for assessing the congestion risk associated with the transfers exceeding available transfer capability (ATC). The possible control actions for each critical contingency can be evaluated as a result of an optimization procedure and translated in terms of costs for the system operator. These actions can be stored as 'alternatives' in a table for a multiple criteria decision making (MCDM) study. The congestion management can be seen as a MCDM problem and system operators are the decision makers (DMs). Test results on a realistic power grid are reportedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.