基于动态跟踪的站域状态估计算法

厂站内网络拓扑分析关乎整个电力系统拓扑分析的快速性与实效性，因此对厂站内网络拓扑的快速分析和跟踪是一个至关重要的问题。对目前广泛应用于电力系统厂站内网络拓扑分析的主要方法进行了归纳总结，分析了现有跟踪算法的2点不足：在节点邻接矩阵中，开关状态无论是由开到合还是由合到开，其处理方法都相同；对于局部的改变，修改节点的邻接矩阵时需要扫描全网节点。提出一种拓扑跟踪算法的改进算法，仅在开关发生变化的连通片内进行邻接矩阵的修改而不必遍历整个厂站内的节点。最后基于C语言对18节点电力系统进行仿真分析，结果表明，与已有算法相比．本文算法具有很高的实时性，尤其是当网络节点由断开到闭合时，计算步骤仅为3步。

State Estimation Algorithms for Substation Topology Analysis Based on Improved Dynamic Tracking

The substation network topology analysis is an important part of power system network topology, which occupies a large number of total time of topology analysis. It is the key to improve the topology analysis efficiency for ensuring the rapidity of the power system network topology analysis. Firstly the paper summarizes the main methods applied to the power system network topology analysis. Second the paper proposes an improved tracking algorithm based on analyzing two shortages in the existing tracking algorithm. Finally, the example of 18-node power system results with C language validated that the proposed algorithm for the substation network topology analysis is easy to be put into practice and fast. Especially there are only three steps for calculation when the network nodes are connected, which improved the speed of the network state estimation tremendously.