@article{Ariff:2013:10.1109/TPWRS.2012.2217511,
author = {Ariff, MAM and Pal, BC},
doi = {10.1109/TPWRS.2012.2217511},
journal = {IEEE Transactions on Power Systems},
pages = {1747--1756},
title = {Coherency Identification in Interconnected Power Systems - An Independent Component Analysis Approach},
url = {http://dx.doi.org/10.1109/TPWRS.2012.2217511},
volume = {28},
year = {2013}
}

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TY  - JOUR
AB  - This paper presents a novel approach to the coherency identification technique in interconnected power system using independent component analysis (ICA). The ICA is applied to the generator speed and bus angle data to identify the coherent areas of the system. The results of the application of ICA using simulated data from 16-machine 68-bus system model and on data gathered through U.K. University-based Wide-Area Measurement System are presented. The approach is able to identify the cluster of generators and buses following a disturbance in the system. It is also demonstrated that the approach is robust in the presence of noise in measured signal, which is an important factor to be considered for assessing the effectiveness of any measurement-based technique.
AU  - Ariff,MAM
AU  - Pal,BC
DO  - 10.1109/TPWRS.2012.2217511
EP  - 1756
PY  - 2013///
SN  - 0885-8950
SP  - 1747
TI  - Coherency Identification in Interconnected Power Systems - An Independent Component Analysis Approach
T2  - IEEE Transactions on Power Systems
UR  - http://dx.doi.org/10.1109/TPWRS.2012.2217511
UR  - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6331591&refinements%3D4291944246%2C4291944245%26ranges%3D2012_2014_p_Publication_Year%26matchBoolean%3Dtrue%26searchField%3DSearch_All%26queryText%3D%28p_Authors%3Apal+b.+c.%29
UR  - http://hdl.handle.net/10044/1/15278
VL  - 28
ER  - 

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