Details
| Original language | English |
|---|---|
| Pages (from-to) | 515-522 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Power Delivery |
| Volume | 22 |
| Issue number | 1 |
| Publication status | Published - Jan 2007 |
Abstract
Due to the large amount of electrical equipment and the costs of an individual diagnosis in distribution networks, a life assessment of the representative electrical components is necessary. For a thorough electro-thermo-mechanical life model of the electrical components, the individual aging phenomena of the representative electrical components as well as the general aging mechanisms of insulating materials are taken into account in this paper. On the basis of the probabilistic approach, the failure probability about possible failure time and the related statistical variables are given in terms of probabilistic failure density, failure rate and failure probability of electrical components. For such a purpose, the relationship between lifetime, electrical stress, mechanical stress and temperature as well as their effects on aging processes and on reliabilities of electrical components are studied. Thereby a new approach is developed for the life assessment of electrical components which supports the decision-making in future deregulation of the electric energy market. Furthermore, the data of historical failure events from distribution networks is collected and evaluated in a special failure statistic. Thus the models can be parameterized with the failure data from practice in distribution networks as a great deal of statistical data is available for the probabilistic assessment. It is demonstrated with the data of some electrical components like conductors, cables, transformers and circuit-breakers that the method is able to assess the lifetime and reliability of electrical components with reasonable and accurate data.
Keywords
- Distribution network, Electrical component, Failure probability, Failure rate, Failure statistic, Life model, Lifetime, Probabilistic approach, Probabilistic failure density
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Power Delivery, Vol. 22, No. 1, 01.2007, p. 515-522.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Estimation of the lifetime of the electrical components in distribution networks
AU - Zhang, Xiang
AU - Gockenbach, Ernst
AU - Wasserberg, V.
AU - Borsi, H.
N1 - Funding information: Manuscript received July 12, 2005; revised December 27, 2005. This work was supported by the National Research Council of Germany under Contract Go 558/8-1. Paper no. TPWRD-00412-2005. The authors are with the Institute of Electric Power Systems, Division of High Voltage Engineering, University of Hanover, Hanover 30167, Germany (e-mail: zhang@si.uni-hannover.de). Digital Object Identifier 10.1109/TPWRD.2006.876661
PY - 2007/1
Y1 - 2007/1
N2 - Due to the large amount of electrical equipment and the costs of an individual diagnosis in distribution networks, a life assessment of the representative electrical components is necessary. For a thorough electro-thermo-mechanical life model of the electrical components, the individual aging phenomena of the representative electrical components as well as the general aging mechanisms of insulating materials are taken into account in this paper. On the basis of the probabilistic approach, the failure probability about possible failure time and the related statistical variables are given in terms of probabilistic failure density, failure rate and failure probability of electrical components. For such a purpose, the relationship between lifetime, electrical stress, mechanical stress and temperature as well as their effects on aging processes and on reliabilities of electrical components are studied. Thereby a new approach is developed for the life assessment of electrical components which supports the decision-making in future deregulation of the electric energy market. Furthermore, the data of historical failure events from distribution networks is collected and evaluated in a special failure statistic. Thus the models can be parameterized with the failure data from practice in distribution networks as a great deal of statistical data is available for the probabilistic assessment. It is demonstrated with the data of some electrical components like conductors, cables, transformers and circuit-breakers that the method is able to assess the lifetime and reliability of electrical components with reasonable and accurate data.
AB - Due to the large amount of electrical equipment and the costs of an individual diagnosis in distribution networks, a life assessment of the representative electrical components is necessary. For a thorough electro-thermo-mechanical life model of the electrical components, the individual aging phenomena of the representative electrical components as well as the general aging mechanisms of insulating materials are taken into account in this paper. On the basis of the probabilistic approach, the failure probability about possible failure time and the related statistical variables are given in terms of probabilistic failure density, failure rate and failure probability of electrical components. For such a purpose, the relationship between lifetime, electrical stress, mechanical stress and temperature as well as their effects on aging processes and on reliabilities of electrical components are studied. Thereby a new approach is developed for the life assessment of electrical components which supports the decision-making in future deregulation of the electric energy market. Furthermore, the data of historical failure events from distribution networks is collected and evaluated in a special failure statistic. Thus the models can be parameterized with the failure data from practice in distribution networks as a great deal of statistical data is available for the probabilistic assessment. It is demonstrated with the data of some electrical components like conductors, cables, transformers and circuit-breakers that the method is able to assess the lifetime and reliability of electrical components with reasonable and accurate data.
KW - Distribution network
KW - Electrical component
KW - Failure probability
KW - Failure rate
KW - Failure statistic
KW - Life model
KW - Lifetime
KW - Probabilistic approach
KW - Probabilistic failure density
UR - http://www.scopus.com/inward/record.url?scp=34147151719&partnerID=8YFLogxK
U2 - 10.1109/TPWRD.2006.876661
DO - 10.1109/TPWRD.2006.876661
M3 - Article
AN - SCOPUS:34147151719
VL - 22
SP - 515
EP - 522
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
SN - 0885-8977
IS - 1
ER -