A time-varying and condition-based component outage model is needed for operation risk assessment, which should consider the change of weather, aging degree and other operation conditions. Various existing definitions of the failure rate, the hazard rate and their relation are well analyzed. The relationship between the failure rate in Poisson process model and the state transition rate in Markov process model is presented. The conditions and the method to formulate component outage models using Markov process in time-varying condition are introduced. Based on the above research, in can be concluded that Markov model is fit for overhead transmission lines and the non-Markov model must be used for transformers. Finally, two different time-varying component outage models for overhead transmission line and transformer are developed respectively. The numerical examples are also presented.
Evaluation of Compound-disaster Failure Rate for Transmission Lines from Perspective of Whole Reductionism Thinking —Part Two Algorithm and Application
Evaluation of Compound-disaster Failure Rate for Transmission Lines from Perspective of Whole Reductionism Thinking —Part One Framework Design
Reliability Assessment of DC Distribution System with Truncation-coefficient-based State Merging
Related Author
ZHANG Boming
WU Wenchuan
NING Liaoyi
XUE Yusheng
CHANG Kang
YU Chen
XUE Feng
HAN Xiaoqing
Related Institution
State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University
State Grid Electric Power Research Institute (NARI Group Corporation)
School of Electrical Engineering and Automation, Harbin Institute of Technology
College of Electrical and Power Engineering, Taiyuan University of Technology
Dispatching and Control Center of State Grid Qinhuangdao Electric Power Supply Company