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

descriptionPublicationkeyboard_double_arrow_right Article , Journal 09 May 2019Publisher:Springer Science and Business Media LLCJournal:Journal of Modern Power Systems and Clean Energy, volume 7, pages 1,411-1,421 (issn: 2196-5625, eissn: 2196-5420,

Authors: Junwei YANG; Wenchuan WU; Weiye ZHENG; Yuntao JU;

doi: 10.1007/s40565-019-0522-9

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

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Abstract

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.

Related Organizations

University of Hong Kong
China (People's Republic of)
University of Hong Kong
China (People's Republic of)
Tsinghua University
China (People's Republic of)
China Agricultural University
China (People's Republic of)
China Agricultural University
China (People's Republic of)

Keywords

TK1001-1841, TJ807-830, Renewable energy sources, Fast decoupled method, Production of electric energy or power. Powerplants. Central stations, Sparse recovery, Distribution system, State estimation

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