Modern real-time measurement equipments and associated communication/computing networks allow developing advanced power system control architectures able to identify dangerous states of the network, and, when necessary, evaluate and apply remedial control actions. An approach, derived by a dynamic optimization methodology, for evaluating response-based control actions and improving power system security, is presented. In this paper, studies performed on response-based architectures for a wide-area control of transient phenomena are reviewed and compared with the results of a full-scale experiment performed under an international cooperation experience. The comparison of the results is aimed to investigate the feasibility of integrating advanced monitoring and control technologies with dynamic optimization methodologies.
Integrating Dynamic Optimization Methodologies with WAMS technologies / Bruno, Sergio; De Benedietis, M.; LA SCALA, Massimo. - (2007). (Intervento presentato al convegno IEEE Power Engineering Society General Meeting, PES 2007 tenutosi a Tampa, FL nel June 24-28, 2007) [10.1109/PES.2007.386003].
Integrating Dynamic Optimization Methodologies with WAMS technologies
BRUNO, Sergio;LA SCALA, Massimo
2007-01-01
Abstract
Modern real-time measurement equipments and associated communication/computing networks allow developing advanced power system control architectures able to identify dangerous states of the network, and, when necessary, evaluate and apply remedial control actions. An approach, derived by a dynamic optimization methodology, for evaluating response-based control actions and improving power system security, is presented. In this paper, studies performed on response-based architectures for a wide-area control of transient phenomena are reviewed and compared with the results of a full-scale experiment performed under an international cooperation experience. The comparison of the results is aimed to investigate the feasibility of integrating advanced monitoring and control technologies with dynamic optimization methodologies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
