Three-Phase State Estimation Using Hybrid Particle Swarm Optimization
File(s)
Published Version
Accepted version
Author(s)
Nanchian, S
Majumdar, A
Pal, BC
Type
Journal Article
Abstract
This paper proposes a method for three-phase state
estimation (SE) in power distribution network including on-load
tap changers (OLTC) for voltage control. The OLTC tap positions
are essentially discrete variables from the SE point of
view. Estimation of these variables in SE presents a formidable
challenge. The proposed methodology combines discrete and
continuous state variables (voltage magnitudes, angles, and tap
positions). A hybrid particle swarm optimization (HPSO) is
applied to obtain the solution. The method is tested on standard
IEEE 13- and 123-bus unbalanced test system models. The
proposed algorithm accurately estimates the network bus voltage
magnitudes and angles, and discrete tap values. The HPSO-based
tap estimation provides a more accurate estimation of losses in
the network, which helps in fair allocation of cost of losses in
arriving at overall cost of electricity
estimation (SE) in power distribution network including on-load
tap changers (OLTC) for voltage control. The OLTC tap positions
are essentially discrete variables from the SE point of
view. Estimation of these variables in SE presents a formidable
challenge. The proposed methodology combines discrete and
continuous state variables (voltage magnitudes, angles, and tap
positions). A hybrid particle swarm optimization (HPSO) is
applied to obtain the solution. The method is tested on standard
IEEE 13- and 123-bus unbalanced test system models. The
proposed algorithm accurately estimates the network bus voltage
magnitudes and angles, and discrete tap values. The HPSO-based
tap estimation provides a more accurate estimation of losses in
the network, which helps in fair allocation of cost of losses in
arriving at overall cost of electricity
Editor(s)
Wang, J
Date Issued
2015-05-19
Date Acceptance
2015-04-26
Citation
IEEE Transactions on Smart Grid, 2015, PP (99), pp.1-11
ISSN
1949-3061
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
1
End Page
11
Journal / Book Title
IEEE Transactions on Smart Grid
Volume
PP
Issue
99
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
License URL
Identifier
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7110397&matchBoolean=true&searchField=Search_All&queryText=((p_Authors:nanchian+s.)+AND+p_Authors:pal+b.)
Subjects
Hybrid Particle Swam Optimization
tap estimation
three-phase state estimation
conductors
impedance
load modelling
state estimation
particle swam optimization
Publication Status
Published