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Generation-Load Mismatch Detection and Analysis

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2 Author(s)
Gardner, R.M. ; Dominion Virginia Power, Richmond, VA, USA ; Yilu Liu

Using data from high-resolution wide-area GPS-synchronized measurements to detect and analyze disturbances within a synchronous electrical interconnection is not trivial. Deterministic methods often fall prey to the non-stationary noisy nature of this type of data. This paper dwells on the location of noteworthy events within “blue-sky” ambient data taken from particularly noisy environments. The statistical processing used to detect and analyze power system events is congealed into a concise and tunable algorithm that is applicable to a multitude of data types. The data analyzed herein is drawn from FNET, a wide-area measurement system deployed worldwide at standard end-user distribution voltages.

Published in:

Smart Grid, IEEE Transactions on  (Volume:3 ,  Issue: 1 )

Date of Publication:

March 2012

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