Single iteration conditional based DSSE considering spatial and temporal correlation

M. Shafiei; G. Nourbakhsh; A. Arefi; G. Ledwich; H. Pezeshki

doi:10.1016/j.ijepes.2018.12.025

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Single iteration conditional based DSSE considering spatial and temporal correlation

Journal article

Open access

Peer reviewed

Single iteration conditional based DSSE considering spatial and temporal correlation

M. Shafiei, G. Nourbakhsh, A. Arefi, G. Ledwich and H. Pezeshki

International Journal of Electrical Power and Energy Systems, Vol.107, pp.644-655

2019

DOI: https://doi.org/10.1016/j.ijepes.2018.12.025

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Abstract

Active players are introducing significant challenges in electric distribution systems management. One of the key components of the distribution system management is state estimator. This paper proposes an efficient and accurate single iteration distribution system state estimation technique only requiring a limited number of real measurement units. A method based on conditional multivariate complex Gaussian distribution (CMCGD) is proposed to include spatial and temporal correlation into estimator and to improve the accuracy of pseudo measurements for unmeasured buses. The quality, accuracy, standard deviation and computational time are improved due to combined spatial and temporal correlation and using an efficient direct solution that only has a single iteration for the solution. Three case studies are used in this paper to examine and demonstrate the effectiveness of the proposed technique.

Details

Title: Single iteration conditional based DSSE considering spatial and temporal correlation
Authors/Creators: M. Shafiei (Author/Creator) - Queensland University of Technology
G. Nourbakhsh (Author/Creator) - Queensland University of Technology
A. Arefi (Author/Creator) - Murdoch University
G. Ledwich (Author/Creator) - Queensland University of Technology
H. Pezeshki (Author/Creator) - Queensland University of Technology
Publication Details: International Journal of Electrical Power and Energy Systems, Vol.107, pp.644-655
Publisher: Elsevier Ltd
Identifiers: 991005543267907891
Copyright: © 2018 Elsevier Ltd.
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.18 Power Systems & Electric Vehicles; 4.18.472 Power System Stability
Web Of Science research areas: Engineering, Electrical & Electronic
ESI research areas: Engineering