Abstract | ||
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Recent research has demonstrated that the rotor angle stability of a power system can be assessed by identifying the sign of the system's maximal Lyapunov exponent (MLE). A positive (negative) MLE implies unstable (stable) rotor angle dynamics. However, because the MLE may fluctuate between positive and negative values for a long time after a severe disturbance, determining the system stability is... |
Year | DOI | Venue |
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2017 | 10.1109/TPWRS.2017.2761598 | IEEE Transactions on Power Systems |
Keywords | Field | DocType |
Maximum likelihood estimation,Power system stability,Rotors,Stability criteria,Trajectory | Rotor angle,Control theory,Stability assessment,Stability conditions,Maximum likelihood,Electric power system,Control engineering,Engineering,Trajectory,Recursion,Lyapunov exponent | Journal |
Volume | Issue | ISSN |
33 | 3 | 0885-8950 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shaopan Wei | 1 | 0 | 0.34 |
Ming Yang | 2 | 3 | 1.80 |
junjian qi | 3 | 30 | 6.96 |
Jun Wang | 4 | 626 | 84.82 |
Shiying Ma | 5 | 0 | 0.34 |
Xueshan Han | 6 | 6 | 4.35 |