Abstract
This paper proposes a new strategy to evaluate and mitigate power system considering solar eclipse based on fuzzy neural network. An explicit model of solar eclipse is established to demonstrate its effects on power system. The mechanism and scheme of solar eclipse have been analyzed for their contribution to power system failures. The fuzzy neural network is used to obtain the impact and to give a solution that can decrease the affection. Extensive sets of training and test data have been utilized by Monte Carlo simulation. The result of a case study on a provincial power system illustrates the methodology.
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