Smart Grid Fault Detection Using Locally Optimum Unknown or Estimated Direction Hypothesis Test
The security of smart grid systems is under threat as a consequence of sophisticated intrusion and imperceptible faults.To make the smart grid systems more secure, the development of an efficient fault detection approach is significantly important. Considering that the time evolution of a smart grid system can be modeled by a discrete-time linear state space model, we focus on faults that can be described by changes in system matrices of the state space model.Hypothesis testing-based approaches are employed to detect the faults and a few new locally optimum testing procedures are introduced.We present numerical results that verify the superiority of the new approaches in detecting the change of the system and show that this advantage is particularly obvious when the change is small.
Fault detection hypothesis testing Intrusion smart grid system state space model
Qian He Rick S. Blum
Department,University of Electronic Science and Technology of China.Chengdu,Sichuan 610054 China ECE Department,Lehigh University,Bethlehem,PA 18015 USA
国际会议
成都
英文
104-108
2011-09-27（万方平台首次上网日期，不代表论文的发表时间）