Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

Reliability Optimization of Electrical Power Systems Subject to Severe Environmental Loads

Authors
Chunyang Li, Shouhua Chen, Lingwei Li
Corresponding Author
Chunyang Li
Available Online March 2015.
DOI
https://doi.org/10.2991/itoec-15.2015.18How to use a DOI?
Keywords
multi-state systems; environmental loads; optimization; universal generating function; genetic algorithms
Abstract

Electrical power supply interruption caused by severe environmental loads (such as ice storms, snowstorms, cyclones and earthquakes) resulted in great economic losses. The optimal problem of electrical power systems subject to this kind of common cause failures is studied to provide the desired level of reliability with minimum cost. The system reliability is estimated by the universal generating function method, and the optimal model is solved by a genetic algorithm. A numerical example is illustrated to demonstrate the proposed method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-52-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/itoec-15.2015.18How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chunyang Li
AU  - Shouhua Chen
AU  - Lingwei Li
PY  - 2015/03
DA  - 2015/03
TI  - Reliability Optimization of Electrical Power Systems Subject to Severe Environmental Loads
BT  - Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
PB  - Atlantis Press
SP  - 81
EP  - 86
SN  - 2352-538X
UR  - https://doi.org/10.2991/itoec-15.2015.18
DO  - https://doi.org/10.2991/itoec-15.2015.18
ID  - Li2015/03
ER  -