论文摘要
This paper introduces a robust sparse recovery model for compressing bad data and state estimation（SE）,based on a revised multi-stage convex relaxation（R-Capped-L1） model.To improve the calculation efficiency,a fast decoupled solution is adopted.The proposed method can be used for three-phase unbalanced distribution networks with both phasor measurement unit and remote terminal unit measurements.The robustness and the computational efficiency of the R-Capped-Ll model with fast decoupled solution are compared with some popular SE methods by numerical tests on several three-phase distribution networks.
论文目录
文章来源
类型: 期刊论文
作者: Junwei YANG,Wenchuan WU,Weiye ZHENG,Yuntao JU
来源: Journal of Modern Power Systems and Clean Energy 2019年06期
年度: 2019
分类: 工程科技Ⅱ辑
专业: 电力工业
单位: Department of Electrical Engineering,Tsinghua University,Department of Electrical and Electronic Engineering,The University of Hong Kong,College of Information and Electrical Engineering,China Agricultural University
基金: supported in part by the National Key Research and Development Plan of China (No. 2018YFB0904200),in part by the National Natural Science Foundation of China (No. 51725703)
分类号: TM727
页码: 1411-1421
总页数: 11
文件大小: 1654K
下载量: 6