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. © 2013 IEEE.
Evidence theory for Smart Grid diagnostics
Foglietta C.;
2013-01-01
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. © 2013 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
