基于预测残差的配电网三相状态估计

为了提高配电网状态估计的计算精度和计算速度,针对常规抗差状态估计算法迭代次数较多的特点,给出了一种以节点电压为状态量,基于预测残差的配电网三相抗差状态估计方法。利用了配电网中各种类型的量测,通过对节点电压和支路电流的相位变换,以及对电流幅值量测进行的等效量测变换,实现了整个雅可比矩阵的常数化,在迭代过程中保持不变,降低了计算量。基于预测残差的信息设置抗差状态估计中的等价权,避免了常规抗差状态估计算法对等价权修正中不必要的多次迭代,提高了收敛速度。算例分析表明,所提的算法抗差能力强、计算速度快、数值稳定性和鲁棒性较好。

Study on three-phase state estimation for distribution networks based on residual prediction

In order to improve the calculation accuracy and speed of distribution networks state estimation, this paper presents a robust algorithm of three-phase state estimation for distribution networks based on residual prediction. All kinds of measurements in distribution networks are used in the algorithm, Jacobian matrix becomes constant through phase transform of node voltage and branch current and equivalent transform of current amplitude measurement, and the amount of calculation is reduced due to Jacobian matrix remaining unchanged in the iterative process. Setting of equivalent weight based on prediction residual avoids the unnecessary iterations in the correction of the equivalent weight, which reduces the amount of computation. Simulation results show that the proposed method is stable and robust.