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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.
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篇名 A sparse recovery model with fast decoupled solution for distribution state estimation and its performance analysis
来源期刊 现代电力系统与清洁能源学报(英文) 学科 工学
关键词 DISTRIBUTION system STATE estimation SPARSE RECOVERY FAST decoupled method
年,卷(期) 2019,(6) 所属期刊栏目
研究方向 页码范围 1411-1421
页数 11页 分类号 TM727
字数 语种
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节点文献
DISTRIBUTION
system
STATE
estimation
SPARSE
RECOVERY
FAST
decoupled
method
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
现代电力系统与清洁能源学报(英文)
双月刊
2196-5625
32-1884/TK
No. 19 Chengxin Aven
出版文献量(篇)
386
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0
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