Modern real-time measurement equipments and associated communication/computing networks allow developing advanced power system control architectures able to identify dangerous states of power systems, and, when necessary, evaluate and apply remedial control actions. An approach, derived by a dynamic optimization methodology, for evaluating response-based control actions and enhance power system security, is presented. In this paper, studies performed for wide-area control of transient phenomena are reviewed. Despite severe computational efforts and time requirements, the authors’ position is that the nowadays technology can make the approach feasible.
Response-based control through dynamic optimization in large-scale power systems / Bruno, Sergio; D'Aloia, Matteo; La Scala, Massimo. - STAMPA. - (2013), pp. 210-216. (Intervento presentato al convegno 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2013 tenutosi a Reykjavík, Iceland nel July 29-31, 2013) [10.5220/0004593202100216].
Response-based control through dynamic optimization in large-scale power systems
Sergio Bruno;Massimo La Scala
2013-01-01
Abstract
Modern real-time measurement equipments and associated communication/computing networks allow developing advanced power system control architectures able to identify dangerous states of power systems, and, when necessary, evaluate and apply remedial control actions. An approach, derived by a dynamic optimization methodology, for evaluating response-based control actions and enhance power system security, is presented. In this paper, studies performed for wide-area control of transient phenomena are reviewed. Despite severe computational efforts and time requirements, the authors’ position is that the nowadays technology can make the approach feasible.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
