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Journal of Electrical Engineering & Technology

, Volume 14, Issue 6, pp 2289–2300 | Cite as

Ethernet-Based Fault Diagnosis and Control in Smart Grid: A Stochastic Analysis via Markovian Model Checking

  • Riaz UddinEmail author
  • Ali S. Alghamdi
  • Muhammad Hammad Uddin
  • Ahmed Bilal Awan
  • Syed Atif Naseem
Original Article
  • 43 Downloads

Abstract

The fault diagnosis and control through fault detection, isolation and supply restoration (FDIR) technique is the part of a commonly used distribution management system application in smart grid. When the fault occurs, it becomes essential to detect and isolate the faulty section of the distribution network at once and then restore back to its running condition through tie switches. The communication between IEDs is done through different communication mediums such as Ethernet, wireless, power line communication etc. Therefore, formal analysis of the FDIR mechanism is required with communication network (ideally Ethernet), which helps us to predict the behavior of FDIR response upon the occurrence of fault in terms of various important probabilities, reliability study and efficiency (showing the system will work properly). In this regard, for the above said analyses, this article discusses (a) the development of the Markovian model of FDIR for distribution network of smart grid considering Tianjin Electric Power Network as case study with intelligent electronic devices (IEDs) using ideal communication medium (Ethernet); (b) utilized probabilistic model checker (PRISM tool) to predict the probabilities; (c) perform the reliability analyses and (d) study the efficiency of FDIR behavior for future grid using logical properties. The detailed analysis and prediction (done for the fault occurrence scenario) mainly focus in determining the (1) the probability of switching failures of FDIR in smart grid; (2) the probability of isolating the defective switch from the system within limited time and (3) the probability of restoring the system automatically within the minimum possible interval.

Keywords

FDIR Ethernet Smart grid Markov model Model checking Stochastic analysis 

Abbreviations

FDIR

Fault detection, isolation and restore supply of system

FTU

Feeder terminal unit

CB

Circuit breaker

DFA

Distributed feeder automation

FASM

FDIR message start

ISOM

Isolation message result

RESM

Restoration message result

IED

Intelligent electrical device

Notes

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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  • Riaz Uddin
    • 1
    • 2
    Email author
  • Ali S. Alghamdi
    • 3
  • Muhammad Hammad Uddin
    • 2
    • 4
  • Ahmed Bilal Awan
    • 3
  • Syed Atif Naseem
    • 5
  1. 1.Haptics, Human-Robotics and Condition Monitoring Lab (affiliated with National Center of Robotics and Automation - NCRA HEC/PC Pakistan) at NED University of Engineering and TechnologyKarachiPakistan
  2. 2.Department of Electrical EngineeringNED University of Engineering and TechnologyKarachiPakistan
  3. 3.Department of Electrical Engineering, College of EngineeringMajmaah UniversityMajmaahSaudi Arabia
  4. 4.Department of Electrical and Computer EngineeringWorcester Polytechnic InstituteWorcesterUSA
  5. 5.ARC Energy and TelecomMuscatOman

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