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An improved initial guess of Newton method for hybrid state estimation

机译:改进的牛顿方法对混合状态估计的初始猜测

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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:电力系统的混合状态估计,其中测量数据由传统的测量和同步相位测量组成,通常被配制为非线性优化问题。 然后由牛顿基于迭代程序解决,其成功取决于适当的初始猜测。 本文提出了一种选择适用于该问题的合适初始解决方案的方法。 从传统和同步相位测量中获得的所有数据都用于估计初始猜测。 IEEE 14总线和57总线系统上的数值结果表明所提出的技术提供比先前参考文献中提出的方法更好的收敛性能。 [5]。

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