TY - JOUR

T1 - Component reliability modeling of distribution systems based on the evaluation of failure statistics

AU - Zhang, X.

AU - Gockenbach, Ernst

N1 - Funding Information: This work is supported by the National Research Council of Germany. The authors gratefully acknowledge assistance from Research Institute for Electric System and Power Economy in Mannheim, Germany for supplying the statistical data.

PY - 2007/10

Y1 - 2007/10

N2 - The procedures of asset-management have been developed into a central element of network operation and planning in liberalised electric markets of power supply for the present. The method of asset management considers all relevant life cycle cost related to the network equipment and provides strategies for reinvestment, maintenance and fault elimination. However, the method requires practical information about the available failure statistic from distribution networks, as well as about the reliability evaluation of equipment installed in distribution network. For the quantitative evaluation we collect failure record data of distribution networks in the special failure statistic. Furthermore, this paper represents the first attempt at modeling the component reliability for representative electrical components due to electrical stress, mechanical stress, temperature and time, which takes general aging mechanisms of insulating materials into consideration. Thus the proposed models provide reliability estimates, e.g. failure probability and failure rate for distribution systems. These models can be not only parameterized with a great deal of statistical data but also determined by aging tests and breakdown tests being available for the probabilistic assessment. Our results imply that the assessment approach for component reliability will motivate a need for reasonable and accurate data at an early decision-making stage in future deregulation of electric power market.

AB - The procedures of asset-management have been developed into a central element of network operation and planning in liberalised electric markets of power supply for the present. The method of asset management considers all relevant life cycle cost related to the network equipment and provides strategies for reinvestment, maintenance and fault elimination. However, the method requires practical information about the available failure statistic from distribution networks, as well as about the reliability evaluation of equipment installed in distribution network. For the quantitative evaluation we collect failure record data of distribution networks in the special failure statistic. Furthermore, this paper represents the first attempt at modeling the component reliability for representative electrical components due to electrical stress, mechanical stress, temperature and time, which takes general aging mechanisms of insulating materials into consideration. Thus the proposed models provide reliability estimates, e.g. failure probability and failure rate for distribution systems. These models can be not only parameterized with a great deal of statistical data but also determined by aging tests and breakdown tests being available for the probabilistic assessment. Our results imply that the assessment approach for component reliability will motivate a need for reasonable and accurate data at an early decision-making stage in future deregulation of electric power market.

KW - Component reliability

KW - Distribution network

KW - Electrical component

KW - Evaluation approach

KW - Failure statistic

KW - Modeling

UR - http://www.scopus.com/inward/record.url?scp=35348928906&partnerID=8YFLogxK

U2 - 10.1109/TDEI.2007.4339478

DO - 10.1109/TDEI.2007.4339478

M3 - Article

AN - SCOPUS:35348928906

VL - 14

SP - 1183

EP - 1191

JO - IEEE Transactions on Dielectrics and Electrical Insulation

JF - IEEE Transactions on Dielectrics and Electrical Insulation

SN - 1070-9878

IS - 5

ER -