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Two-stage State Estimation Algorithm for Distribution Network Analysis

机译:分布网络分析的两级状态估计算法

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Practical distribution system contains many nodes and short branches. As a result, a more efficient and stable distribution state estimation (DSE) algorithm is needed to properly handle the inverse operation of its large-scale ill-conditioned information matrix. This paper proposed a two-stage DSE algorithm to transform the inverse operation into addition and multiplication operations in a recursive manner. It includes pseudo measurement preprocessing in the offline stage where an approximate linear estimator is adopted to relieve most of computation burdens, and real-time correction in the online stage where a nonlinear estimator is used to update the estimation. Numerical results of the method applied to both IEEE standard test systems and an actual distribution system show the accuracy and effectiveness of the proposed algorithm.
机译:实用分配系统包含许多节点和短分支。结果,需要更有效且稳定的分布状态估计(DSE)算法来正确处理其大规模不良信息矩阵的逆操作。本文提出了一种两级DSE算法,用于以递归方式转换逆操作并以递归方式进行加法和乘法操作。它包括在离线阶段中的伪测量预处理,其中采用近似线性估计器来缓解大部分计算负担,以及在线阶段中使用非线性估计器更新估计的实时校正。应用于IEEE标准测试系统的方法的数值结果和实际分配系统显示了所提出的算法的准确性和有效性。

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