On-line fault diagnosis with incomplete information in a power transmission network

Nowadays, power transmission networks are operated through supervisory control and data acquisition (SCADA) systems. In incident situations, SCADA systems are prone to accumulate huge amounts of information potentially with temporal, non-monotonic and incompleteness problems. To support operator´s decisions, on-line fault diagnosis is needed due to the critical nature of their work. In this paper, a system - SPARSE II - is presented. SPARSE II is based on the cooperation of knowledge and model-based techniques. It has the ability to perform on-line fault diagnosis despite the information problems of having a SCADA system as an information source