Uncertainty analysis of power system time-domain simulation based on generalized polynomial chaos method

@article{Li2017UncertaintyAO,
  title={Uncertainty analysis of power system time-domain simulation based on generalized polynomial chaos method},
  author={Linzhi Li and Y. Qiu and H. Wu and Yonghua Song and L. Xiao},
  journal={2017 IEEE Power & Energy Society General Meeting},
  year={2017},
  pages={1-5}
}
  • Linzhi Li, Y. Qiu, +2 authors L. Xiao
  • Published 2017
  • Computer Science
  • 2017 IEEE Power & Energy Society General Meeting
  • This paper presents an efficient approach to study transient stability of power system under uncertain conditions. This approach comprises generalized polynomial chaos (gPC) expansion techniques, by which random variables are approximated, and Galerkin method, by which the approximating coefficients are worked out. This approach transfers stochastic problems into deterministic ones, which calls for computation for only once. When independent random variables are less, this approach can be more… CONTINUE READING
    6 Citations
    A Galerkin Method-Based Polynomial Approximation for Parametric Problems in Power System Transient Analysis
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    Polynomial Chaos Expansion for Parametric Problems in Engineering Systems: A Review
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