TY - GEN
T1 - Assessment of suitability of different reliability importance measures for prioritising replacement of transmission system components
AU - Awadallah, Selma K.E.
AU - Milanovic, Jovica V.
AU - Wang, Zhongdong
AU - Jarman, Paul N.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/31
Y1 - 2015/8/31
N2 - The paper presents a comparison of four widely used reliability importance measures in order to identify their appropriateness for the identification of the most critical system components for replacement planning; specifically when using Non-sequential Monte Carlo method. These importance measures are Improvement Potential, Structural Importance, Criticality Importance, and Fussell-Vesely Importance. The four reliability importance measures were calculated for each system component (power transformer in this particular study) and then components were ranked separately based on each measure. Then, the components were replaced, one by one starting from the most critical, to establish the relationship between the replacement according to each ranking and the overall system reliability. The study was performed on a realistic transmission network containing 154 transformers. The results of the paper proved that Improvement Potential is the most appropriate importance measure for replacement planning.
AB - The paper presents a comparison of four widely used reliability importance measures in order to identify their appropriateness for the identification of the most critical system components for replacement planning; specifically when using Non-sequential Monte Carlo method. These importance measures are Improvement Potential, Structural Importance, Criticality Importance, and Fussell-Vesely Importance. The four reliability importance measures were calculated for each system component (power transformer in this particular study) and then components were ranked separately based on each measure. Then, the components were replaced, one by one starting from the most critical, to establish the relationship between the replacement according to each ranking and the overall system reliability. The study was performed on a realistic transmission network containing 154 transformers. The results of the paper proved that Improvement Potential is the most appropriate importance measure for replacement planning.
KW - Non-sequential Monte Carlo simulation
KW - end-of-life failure
KW - reliability importance measures
KW - replacement
UR - http://www.scopus.com/inward/record.url?scp=84951299099&partnerID=8YFLogxK
U2 - 10.1109/PTC.2015.7232295
DO - 10.1109/PTC.2015.7232295
M3 - Conference contribution
AN - SCOPUS:84951299099
T3 - 2015 IEEE Eindhoven PowerTech, PowerTech 2015
BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Eindhoven PowerTech, PowerTech 2015
Y2 - 29 June 2015 through 2 July 2015
ER -