Abstract
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.
Original language | English |
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Article number | 6923476 |
Pages (from-to) | 2824-2825 |
Number of pages | 2 |
Journal | IEEE Transactions on Power Systems |
Volume | 30 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 Sept 2015 |
Keywords
- Cascading failures
- N-k contingency screening
- quantum inspired multi-objective evolutionary algorithm
- random vector functional-link neural network
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering