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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.

Reliability Optimization of Electrical Power Systems Subject to Severe Environmental Loads