Title :
Evidence theory for Smart Grid diagnostics
Author :
Santini, Riccardo ; Foglietta, Chiara ; Panzieri, Stefano
Author_Institution :
Eng. Dept., Univ. of Roma TRE, Rome, Italy
Abstract :
The Smart Grid represents a perfect application for Data Fusion techniques. In fact, those systems are physical power grids with an integrated telecommunication network able to deliver data, information and controls. Being a cyber-physical system, it is difficult to detect the faults and causes of outages of smart grid with the independent analysis of physical and cyber domains. In this paper we proposed Evidence Theory for fault diagnosis of a Smart Grid and also provided system architecture how to apply it. The results illustrate a particular situation, where both physical damage and cyber threats are possible reasons for the actual faults. A decision-making criteria is shown in order to detect this particular situation.
Keywords :
decision making; embedded systems; fault diagnosis; inference mechanisms; power engineering computing; power system faults; power system protection; sensor fusion; smart power grids; telecommunication power management; uncertainty handling; cyber domain; cyber threats; cyber-physical system; data fusion technique; decision making criteria; evidence theory; fault detection; integrated telecommunication network; physical damage; physical domain; physical power grids; smart grid fault diagnostics; smart grid outages; system architecture; Fault diagnosis; Intelligent sensors; Measurement; Sensor systems; Smart grids; Substations;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695356