Generator coherency identification algorithm using modal and time-domain information

Coherency group identification is an integral constituent part of the wider field of reduction techniques in power systems. It consists of separating the machines in the system into groups that feature similar behavior. This paper presents a coherency identification algorithm for dynamic studies. The algorithm combines both modal and time domain techniques in an effort to combine the merits of both approaches. Its outcome is a suggested optimal number of clusters alongside the clustering itself. Tests have been conducted on a sample power system of 39 buses and its validity has been demonstrated.


Published in:
Eurocon 2013, 1025-1032
Presented at:
IEEE EUROCON 2013, Zagreb, Croatia, July 1-4, 2013
Year:
2013
Publisher:
IEEE
Keywords:
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 Record created 2014-04-07, last modified 2018-01-28

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