【Key words】 Global optimization； monotone optimization； convexification methods； branch-and-bound； indefinite quadratic programming； convex relaxation； Lagrangian relaxation；
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We prove that the Lagrangian dual bound is identical to the lower bound obtained by convex relaxation.
并且证明了拉格朗日对偶界与通过凸松弛得到的下界是相等的；
Based on the dual relaxation method, an extended convex programming and sequential linear programming optimal power flow approach is presented for online optimal dispatch.
提出了一种基于对偶松弛法的扩展凸规划和序列线性规划相结合的在线最优潮流方法。
Based on dual relaxation method to extend a special convex separable programming algorithm, this tracking algorithm was constructed by parametric analysis.
该参数优化算法可在对偶松弛凸可分规划算法的主循环之外，通过少量参数化扩展得到。
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