TY - JOUR
T1 - Risk assessment of smart substation relay protection system based on Markov model and risk transfer network
AU - Nan, Dongliang
AU - Wang, Weiqing
AU - Mahfoud, Rabea Jamil
AU - Alhelou, Hassan Haes
AU - Siano, Pierluigi
AU - Parente, Mimmo
AU - Zhang, Lu
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (No. 51667020), the Natural Science Project of Scientific Research Program in University of Xinjiang Uygur Autonomous Region (No. XJEDU2017I002);and “Tianshan Cedar” Talent Development Program in Xinjiang Uygur Autonomous Region (No. 2017XS02).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2020/4/7
Y1 - 2020/4/7
N2 - 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.
AB - 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.
KW - Markov model
KW - Risk assessment
KW - Risk transmission network
KW - State evaluation
UR - https://www.scopus.com/pages/publications/85083624616
U2 - 10.3390/en13071777
DO - 10.3390/en13071777
M3 - Article
AN - SCOPUS:85083624616
SN - 1996-1073
VL - 13
JO - Energies
JF - Energies
IS - 7
M1 - 1777
ER -
