用于配电网分布式抗差状态估计的自动分区

网络分区是进行配电网分布式状态估计的基础。分析配电网的网络结构特点,从各分区计算量均衡的角度出发,借助图论中网络的快速搜索能力,通过编程对配电网进行自动分区,从而实现状态估计的并行计算。为改善状态估计算法的抗差性,采用指数表达的权重系数,在迭代过程中降低不良数据在目标函数中权重值,从而减少不良数据对目标函数和估计结果的影响。这种基于分区的配电网分布式抗差状态估计算法可以实现对配电网的自动合理分区,有效地提高状态估计的计算速度,改善了算法对量测量的抗差性。通过IEEE-118节点算例的计算分析,说明了算法的可行性。

Automatic partition for distributed and robust state estimation of distribution network

Network partition is the basis of distributed state estimation of distribution network. This paper analyzes the network structure characteristics of the power distribution network, and considers calculation quantity equilibrium of each partition, realizes the automatic partitioning of the distribution network by virtue of the rapid search capability of the network in the graph theory, so as to realize parallel computing of state estimates. To enhance the robustness of the state estimation algorithm, using exponential variable weight coefficient to reducing the weight value of the bad data in the iterative process, thus reducing the adverse influence on the target function and estimated results. The distributed and robust state estimation algorithm based on partition can realize automatic reasonable partition of distribution network, effectively improve the computing speed of the state estimation, improve the algorithm to the measurement''s robust. Finally, the calculation and analysis based on IEEE-118 standard example have showed the validity of the algorithm.