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An improved initial guess of Newton method for hybrid state estimation

机译:牛顿法用于混合状态估计的一种改进的初始猜测

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The hybrid state estimation of a power system, where the measured data consist of both conventional measurements and synchronizing phasor measurements, is generally formulated as a nonlinear optimization problem. It is then solved by Newton based iteration procedure whose success depends on an appropriate initial guess. This paper presents an improved method for selecting a suitable initial solution for this problem. All data obtained from both conventional and synchronizing phasor measurements are employed to estimate the initial guess. Numerical results on the IEEE 14-bus and 57-bus systems indicate that the proposed technique provides better convergence performance than the method previously proposed in Ref. [5].
机译:通常将电力系统的混合状态估计(其测量数据既包括常规测量又包括同步相量测量)组成为非线性优化问题。然后,通过基于牛顿的迭代过程来解决该问题,该过程的成功取决于适当的初始猜测。本文提出了一种针对此问题选择合适的初始解决方案的改进方法。从常规相量测量和同步相量测量获得的所有数据都用于估计初始猜测。在IEEE 14总线和57总线系统上的数值结果表明,与参考文献1中先前提出的方法相比,所提出的技术提供了更好的收敛性能。 [5]。

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