2020年 05期

Topology Identification of Distribution Networks via Advanced Metering Infrastructure and Graphical Model Neighbor Estimation


摘要(Abstract):

针对目前配电网拓扑辨识方法在量测误差增大时误差率较高的问题,提出一种基于高级量测体系量测的图模型近邻估计的配电网拓扑辨识方法;该方法将相邻时刻高级量测体系的系统电压幅值量测之差视作高斯随机变量,建立由随机变量组成的概率图模型的精度矩阵估计模型,采用近邻估计算法求解图模型精度矩阵;根据精度矩阵的稀疏结构,采用生成树算法重建出配电网拓扑,并通过三相不平衡配电网算例和实际用电数据进行有效性验证。算例分析结果表明,该方法能够较好地辨识配电网拓扑结构。

关键词(KeyWords): 配电网;拓扑辨识;高级量测体系;图模型近邻估计

基金项目(Foundation): 国家电网有限公司科技项目(KJ19-1-23)

作者(Author): 刘超,王旭东,苏彦卓,丁一,梁栋

DOI: 10.13349/j.cnki.jdxbn.20200519.001

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