Stochastic programming-based fault diagnosis in power systems under imperfect and incomplete information

HIGHLIGHTS

• who: Huizhong Song and collaborators from the School of Electrical Engineering, Zhejiang University, No, Zheda Rd, Hangzhou, China have published the paper: Stochastic Programming-Based Fault Diagnosis in Power Systems Under Imperfect and Incomplete Information, in the Journal: Energies 2018, 11, x FOR PEER REVIEW of 28/08/2009
• what: In this work a novel fault diagnosis analytic model is developed with the ability of accommodating the malfunctioning of PRs and CBs as well as the false and/or missing alarms. In the paper, an actual fault scenario is used to demonstrate the effectiveness and . . .
  

   

  

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