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New approach for the nonlinear programming with transient stability constraints arising from power systems

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  • Xiaojiao Tong
  • Soon-Yi Wu
  • Renjun Zhou

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Suggested Citation

  • Xiaojiao Tong & Soon-Yi Wu & Renjun Zhou, 2010. "New approach for the nonlinear programming with transient stability constraints arising from power systems," Computational Optimization and Applications, Springer, vol. 45(3), pages 495-520, April.
    • Handle: RePEc:spr:coopap:v:45:y:2010:i:3:p:495-520
    DOI: 10.1007/s10589-008-9179-4
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    References listed on IDEAS

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    1. Liqun Qi & Houyuan Jiang, 1997. "Semismooth Karush-Kuhn-Tucker Equations and Convergence Analysis of Newton and Quasi-Newton Methods for Solving these Equations," Mathematics of Operations Research, INFORMS, vol. 22(2), pages 301-325, May.
    2. Dong-Hui Li & Liqun Qi & Judy Tam & Soon-Yi Wu, 2004. "A Smoothing Newton Method for Semi-Infinite Programming," Journal of Global Optimization, Springer, vol. 30(2), pages 169-194, November.
    3. K.L. Teo & X.Q. Yang & L.S. Jennings, 2000. "Computational Discretization Algorithms for Functional Inequality Constrained Optimization," Annals of Operations Research, Springer, vol. 98(1), pages 215-234, December.
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    Cited by:

    1. Xiaojiao Tong & Chen Ling & Soon-Yi Wu & Liqun Qi, 2013. "Semi-infinite programming method for optimal power flow with transient stability and variable clearing time of faults," Journal of Global Optimization, Springer, vol. 55(4), pages 813-830, April.
    2. M. A. Goberna & M. A. López, 2017. "Recent contributions to linear semi-infinite optimization," 4OR, Springer, vol. 15(3), pages 221-264, September.
    3. M. A. Goberna & M. A. López, 2018. "Recent contributions to linear semi-infinite optimization: an update," Annals of Operations Research, Springer, vol. 271(1), pages 237-278, December.

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