A sparse recovery model with fast decoupled solution for distribution state estimation and its performance analysis

Journal of Modern Power Systems and Clean Energy

Yuntao Ju¹  Weiye Zheng²  Wenchuan Wu³  Junwei Yang³ 

[1] College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100083;The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong, China;Tsinghua University,Department of Electrical Engineering,Beijing,China,100084;

关键词: Distribution system;    State estimation;    Sparse recovery;    Fast decoupled method;   

DOI  :  10.1007/s40565-019-0522-9

来源: DOAJ

【 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-Cap-ped-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-L1 model with fast decoupled solution are compared with some popular SE methods by numerical tests on several three-phase distribution networks.

【 授权许可】

Unknown