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N-k Induced Cascading Contingency Screening
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DOI：10.1109/TPWRS.2014.2361723.png)
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This letter proposes a novel method for N-k induced cascading contingency screening based on random vector functional-link (RVFL) neural network and quantum inspired multi-objective evolutionary algorithm (QMEA). This method can conduct reliable and simultaneous screening for various N-k contingencies. The proposed method has been proved to be highly effective through a preliminary case study using the New England 39-bus system.
Keyword:
Cascading failures
N-k contingency screening
quantum inspired multi-objective evolutionary algorithm
random vector functional-link neural network
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7.2
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1.1W
被引数:
5.0W
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