Risk Assessment of Smart Substation Relay Protection System Based on Markov Model and Risk Transfer Network

Dongliang Nan, Weiqing Wang, Rabea Jamil Mahfoud, Hassan Haes Alhelou, Pierluigi Siano, Mimmo Parente and Lu Zhang
Additional contact information
Dongliang Nan: School of Electrical Engineering, Xinjiang University, Urumqi 830047, China
Weiqing Wang: School of Electrical Engineering, Xinjiang University, Urumqi 830047, China
Rabea Jamil Mahfoud: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Hassan Haes Alhelou: Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia 2230, Syria
Pierluigi Siano: Department of Management & Innovation Systems, University of Salerno, 84084 Salerno, Italy
Mimmo Parente: Department of Management & Innovation Systems, University of Salerno, 84084 Salerno, Italy
Lu Zhang: Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China

Energies, 2020, vol. 13, issue 7, 1-16

Abstract: To effectively guarantee a secure and stable operation of a smart substation, it is essential to develop a relay protection system considering the real-time online operation state evaluation and the risk assessment of that substation. In this paper, based on action data, defect data, and network message information of the system protection device (PD), a Markov model-based operation state evaluation method is firstly proposed for each device in the relay protection system (RPS). Then, the risk assessment of RPS in the smart substation is carried out by utilizing the risk transfer network. Finally, to highly verify the usefulness and the effectiveness of the proposed method, a case study of a typical 220 kV substation is provided. It follows from the case study that the developed method can achieve a better improvement for the maintenance plan of the smart substation.

Keywords: Markov model; risk transmission network; state evaluation; risk assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/7/1777/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/7/1777/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:7:p:1777-:d:342483

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().