Reliability Optimization of Electrical Power Systems Subject to Severe Environmental Loads

DOI

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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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  - 10.2991/itoec-15.2015.18
ID  - Li2015/03
ER  -