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{Rois:2019:10.1109/TSTE.2018.2863569,
author = {Rois, HA and Kunjumuhammed, LP and Pal, BC and Adamsczyk, A and Vershinin, K},
doi = {10.1109/TSTE.2018.2863569},
journal = {IEEE Transactions on Sustainable Energy},
pages = {1194--1205},
title = {Model order reduction of wind farms: linear approach},
url = {http://dx.doi.org/10.1109/TSTE.2018.2863569},
volume = {10},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This  paper  presents  three  types  of  linear  modelorder  reduction  (MOR)  technique,  namely  singular  value  de-composition  (SVD)-based,  Krylov-based,  and  modal  truncation-based  type  applied  to  large-scale  wind  farm  models.  The  firsttype   includes   a   Balanced   Truncation   (BT)   and   AlternatingDirection  Implicit  (ADI)-based  BT  method,  while  the  secondtype encompasses a Rational Krylov (RK), and Iterative RationalKrylov Algorithm (IRKA) method. In the third type, a SubspaceAccelerated MIMO Dominant Pole Algorithm (SAMDP) methodis used. The effectiveness of these methods are tested on practical-sized  wind  farms  with  90,  120  and  210  doubly-fed  inductiongenerators  (DFIGs).  Merits  and  demerits  of  each  method  arediscussed  in  detail.  The  reduced  order  model  (ROM)  of  windfarm is validated against the full order model (FOM) in term offrequency domain indices and waveform agreement at the pointof  common  coupling  (PCC).
AU  - Rois,HA
AU  - Kunjumuhammed,LP
AU  - Pal,BC
AU  - Adamsczyk,A
AU  - Vershinin,K
DO  - 10.1109/TSTE.2018.2863569
EP  - 1205
PY  - 2019///
SN  - 1949-3029
SP  - 1194
TI  - Model order reduction of wind farms: linear approach
T2  - IEEE Transactions on Sustainable Energy
UR  - http://dx.doi.org/10.1109/TSTE.2018.2863569
UR  - http://hdl.handle.net/10044/1/62963
VL  - 10
ER  -
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