Imperial College London
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ProfessorBikashPal

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Power Systems
 
 
 
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Contact

 

+44 (0)20 7594 6172b.pal Website CV

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1104Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Nanchian:2017:10.1109/TSTE.2017.2664662,
author = {Nanchian, S and Majumdar, A and Pal, BC},
doi = {10.1109/TSTE.2017.2664662},
journal = {IEEE Transactions on Sustainable Energy},
pages = {1528--1535},
title = {Ordinal optimization technique for three phase distribution network state estimation including discrete variables},
url = {http://dx.doi.org/10.1109/TSTE.2017.2664662},
volume = {8},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This  paper  has  discussed  transformer  tap  position estimation with continuous and discrete variables in the context of three    phase    distribution    state    estimation    (SE).    Ordinal optimization  (OO)  technique  has  been  applied  to  estimate  the transformer  tap  position  for  the  first  time  in  unbalanced  three phase distribution network model. The results on 129 bus system model have demonstrated that OO method can generate a reliable estimate for transformer exact tap position with discrete variables in  distribution  system  state  estimation  (DSSE)  and  also  in  short period  of  time.  In  this  paper  the  node  voltages  and  power  losses are  calculated  for  129  bus  network.  It  is  also  demonstrated  that OO is much faster than other accurate methods such HPSO. The losses  obtained  with  OO  are  much  accurate.  In  view  of  this  OO performs  better  than  WLS  as  it  provides  higher  accuracy  of  the loss  calculation.  In  a  distribution  network  where  about  5-6%  of electricity  generated  is  lost,  accurate  estimation  of  this  loss  has significant  technical  and  commercial  value.  The  authors  believe the technique proposed will help realize those benefits.
AU  - Nanchian,S
AU  - Majumdar,A
AU  - Pal,BC
DO  - 10.1109/TSTE.2017.2664662
EP  - 1535
PY  - 2017///
SN  - 1949-3037
SP  - 1528
TI  - Ordinal optimization technique for three phase distribution network state estimation including discrete variables
T2  - IEEE Transactions on Sustainable Energy
UR  - http://dx.doi.org/10.1109/TSTE.2017.2664662
UR  - http://hdl.handle.net/10044/1/44251
VL  - 8
ER  -
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