TITLE:
Research on Hidden Failure Reliability Modeling of Electric Power System Protection
AUTHORS:
Jingjing Zhang, Ming Ding, Xianjun Qi, Yi Guo
KEYWORDS:
Double Main Protection System; Hidden Failure; Markov Method; Condition-Based Maintenance (CBM); Human Error
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
20,
2013
ABSTRACT:
Aiming at digital relay protection system, a novel
hidden failure Markov reliability model is presented for a single main
protection and double main protection systems according to
hidden failure and protection function under Condition-Based Maintenance (CBM)
circumstance and reliability indices such as probability of protection system
hidden failure state are calculated. Impacts of different parameters
(containing impacts of human errors) to hidden failure state probability and the
optimal measures to improve reliability by variable parameter method are also
analyzed. It’s demonstrated here that: Compared to a single main protection,
double main protection system has an increased hidden failure probability, thus
the real good state probability decreases, two main protections’ reliability must be improved at the same time, so configuration of the whole
protection system for the component being protected can’t be complicated.
Through improving means of on-line self-checking and monitoring system in
digital protection system and human reliability, the real application of CBM
can decrease hidden failure state probability. Only through this way can we
assure that the protection systems work in good state. It has a certain
reference value to protection system reliability engineering.