In this section
@article{Nanchian:2015:10.1109/TSG.2015.2428172,
author = {Nanchian, S and Majumdar, A and Pal, BC},
doi = {10.1109/TSG.2015.2428172},
journal = {IEEE Transactions on Smart Grid},
pages = {1--11},
title = {Three-Phase State Estimation Using Hybrid Particle Swarm Optimization},
url = {http://dx.doi.org/10.1109/TSG.2015.2428172},
volume = {PP},
year = {2015}
}
TY - JOUR
AB - This paper proposes a method for three-phase stateestimation (SE) in power distribution network including on-loadtap changers (OLTC) for voltage control. The OLTC tap positionsare essentially discrete variables from the SE point ofview. Estimation of these variables in SE presents a formidablechallenge. The proposed methodology combines discrete andcontinuous state variables (voltage magnitudes, angles, and tappositions). A hybrid particle swarm optimization (HPSO) isapplied to obtain the solution. The method is tested on standardIEEE 13- and 123-bus unbalanced test system models. Theproposed algorithm accurately estimates the network bus voltagemagnitudes and angles, and discrete tap values. The HPSO-basedtap estimation provides a more accurate estimation of losses inthe network, which helps in fair allocation of cost of losses inarriving at overall cost of electricity
AU - Nanchian,S
AU - Majumdar,A
AU - Pal,BC
DO - 10.1109/TSG.2015.2428172
EP - 11
PY - 2015///
SN - 1949-3061
SP - 1
TI - Three-Phase State Estimation Using Hybrid Particle Swarm Optimization
T2 - IEEE Transactions on Smart Grid
UR - http://dx.doi.org/10.1109/TSG.2015.2428172
UR - 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.)
UR - http://hdl.handle.net/10044/1/23286
VL - PP
ER -