Reliability Assessment of Distribution System Considering Cyber-Induced Dependent Failures in Substation

2018 International Conference on New Energy and Future Energy System

Yuan, H.J.^1 ; Li, G.F.^1 ; Bie, Z.H.^1

State Key Laboratory of Electrical Insulation and Power Equipment, Shaanxi Key Laboratory of Smart Grid, Xi'An Jiaotong University, Xi'an

710049, China^1

关键词: Cyber-Physical System (CPS);    Distribution reliability;    Distribution system reliability;    Information and Communication Technologies;    Reliability assessments;    Sequential Monte Carlo simulation;    Smart distribution systems;    Substation automation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/188/1/012108/pdf
DOI  :  10.1088/1755-1315/188/1/012108

来源: IOP

【 摘 要 】

With the increasing dependencies on Information and Communication Technologies (ICTs), the smart distribution system has similar characteristics to Cyber-Physical System (CPS) and is seen as the so-called "cyber-physical power system" (CPPS). However, the impact of upstream substation is becoming one of the main factors impacting on distribution reliability. To avoid the too optimistic conclusion, the Cyber-Induced Dependent Failures (CDFs) of upstream substation are important to be considered. Thus the cyber security risk brought by both the malfunction of ICT components and the cyber-attack should be taken into account. This paper provided a methodology to incorporate both the two sides of CDFs in upstream substation into cyber-enabled distribution system reliability assessment. In the sequential Monte Carlo simulation (MCS), the game process between attackers and defenders can be modelled as the semi-Markov Chain (SMP), and indices are calculated by the minimal path method. The effects of CDFs are quantified and converted onto the joint feeders, based on the Breadth-First-Search (BFS), as well. Some conclusions for the distribution and substation automation planning have been made and verified by the cyber-extended Roy Billinton Test System (RBTS).