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

Journal of Modern Power Systems and Clean Energy ◽

10.1007/s40565-019-0522-9 ◽

2019 ◽

Vol 7 (6) ◽

pp. 1411-1421

Author(s):

Junwei YANG ◽

Wenchuan WU ◽

Weiye ZHENG ◽

Yuntao JU

Keyword(s):

Performance Analysis ◽

State Estimation ◽

Sparse Recovery ◽

Recovery Model ◽

Distribution State

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Performance Analysis of Optimization Based Static Distribution State Estimation Techniques

2020 International Conference on Power, Instrumentation, Control and Computing (PICC) ◽

10.1109/picc51425.2020.9362373 ◽

2020 ◽

Author(s):

Sreedevi Valsan Kandenkavil ◽

Nitin Padmanbahan

Keyword(s):

Performance Analysis ◽

State Estimation ◽

Estimation Techniques ◽

Static Distribution ◽

Distribution State

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Performance analysis of sparse recovery models for bad data detection and state estimation in electric power networks

2016 IEEE Power and Energy Society General Meeting (PESGM) ◽

10.1109/pesgm.2016.7741885 ◽

2016 ◽

Author(s):

Junwei Yang ◽

Wenchuan Wu ◽

Weiye Zheng ◽

Wenjun Xian ◽

Boming Zhang

Keyword(s):

Performance Analysis ◽

State Estimation ◽

Electric Power ◽

Sparse Recovery ◽

Data Detection ◽

Power Networks ◽

Bad Data Detection ◽

Electric Power Networks ◽

Recovery Models ◽

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Differential Evolutionary Particle Swarm Optimization for Load Adjustment Distribution State Estimation using Correntropy

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.138.423 ◽

2018 ◽

Vol 138 (6) ◽

pp. 423-431

Author(s):

Sohei Iwata ◽

Yoshikazu Fukuyama

Keyword(s):

Particle Swarm Optimization ◽

State Estimation ◽

Particle Swarm ◽

Swarm Optimization ◽

Distribution State

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Linear Programming Contractor for Interval Distribution State Estimation Using RDM Arithmetic

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2020.3033065 ◽

2020 ◽

pp. 1-1

Author(s):

Vietcuong Ngo ◽

Wenchuan Wu

Keyword(s):

Linear Programming ◽

State Estimation ◽

Distribution State ◽

Rdm Arithmetic ◽

Interval Distribution

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Distribution state estimation for smart distribution system

2013 IEEE Grenoble Conference ◽

10.1109/ptc.2013.6652266 ◽

2013 ◽

Author(s):

M. Karimi ◽

H. Mokhlis ◽

A. H. A. Bakar ◽

A. Shahriari

Keyword(s):

State Estimation ◽

Distribution System ◽

Distribution State

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Estimation of Signal-Dependent Noise Level Function in Transform Domain via a Sparse Recovery Model

IEEE Transactions on Image Processing ◽

10.1109/tip.2015.2405417 ◽

2015 ◽

Vol 24 (5) ◽

pp. 1561-1572 ◽

Author(s):

Jingyu Yang ◽

Ziqiao Gan ◽

Zhaoyang Wu ◽

Chunping Hou

Keyword(s):

Noise Level ◽

Sparse Recovery ◽

Transform Domain ◽

Recovery Model ◽

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Considering the uncertainty on the network parameters in the optimal planning of measurement systems for Distribution State Estimation

2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007 ◽

10.1109/imtc.2007.379143 ◽

2007 ◽

Author(s):

Carlo Muscas ◽

Fabrizio Pilo ◽

Giuditta Pisano ◽

Sara Sulis

Keyword(s):

State Estimation ◽

Optimal Planning ◽

Measurement Systems ◽

Network Parameters ◽

Distribution State

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Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8280878 ◽

2017 ◽

Author(s):

Sohei Iwata ◽

Yoshikazu Fukuyama ◽

Toru Jintsugawa ◽

Hisashi Fujimoto ◽

Tetsuro Matsui

Keyword(s):

Particle Swarm Optimization ◽

Power Systems ◽

State Estimation ◽

Electric Power ◽

Particle Swarm ◽

Electric Power Systems ◽

Swarm Optimization ◽

Distribution State

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Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2012.2195660 ◽

2012 ◽

Vol 60 (8) ◽

pp. 4081-4093 ◽

Author(s):

Xiaohan Wang ◽

Yuantao Gu ◽

Laming Chen

Keyword(s):

Performance Analysis ◽

Sparse Recovery ◽

And Performance ◽

Proof Of Convergence

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Finite-horizon bounded H ∞ synchronisation and state estimation for discrete-time complex networks: local performance analysis

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.1161 ◽

2017 ◽

Vol 11 (6) ◽

pp. 827-837 ◽

Author(s):

Fei Han ◽

Guoliang Wei ◽

Derui Ding ◽

Yan Song

Keyword(s):

Performance Analysis ◽

Complex Networks ◽

State Estimation ◽

Discrete Time ◽

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