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• W4286447496 abstract "This paper proposes an interval analysis based framework to assess the small-signal stability of power systems in the presence of uncertainty sources. As opposed to stochastic small-signal stability analysis, this framework does not imply either an accurate characterization of probability distributions or significant computational burden. Interval analysis returns robust enclosures of the eigenvalues characterizing the system, which are guaranteed to include all possible scenarios generated by uncertain variables. This is achieved by solving an interval eigenvalue problem, which requires low computational capabilities. The single machine infinite bus and the IEEE 39-bus test systems are employed to validate the effectiveness of the proposed framework in calculating interval eigenvalues in uncertain small-signal stability analysis. In order to show its improved performances, both in terms of robustness and computing speed, the results are compared to Monte Carlo simulations." @default.
• W4286447496 created "2022-07-22" @default.
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• W4286447496 date "2022-11-01" @default.
• W4286447496 modified "2023-09-26" @default.
• W4286447496 title "Small-signal stability analysis of uncertain power systems via interval analysis" @default.
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• W4286447496 doi "https://doi.org/10.1016/j.epsr.2022.108339" @default.
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