NDLI: Statistical Analysis and Forecasting of Damping in the Nordic Power System

Content Provider	IEEE Xplore Digital Library
Author	Sulla, F. Koivisto, M. Seppanen, J. Turunen, J. Haarla, L.C. Samuelsson, O.
Copyright Year	1969
Abstract	This paper presents an application of multiple linear regression (MLR) to extract significant correlations between damping of electromechanical modes and system operating conditions and to forecast future damping values, based on existing day-ahead market forecasts for power flows and generation. The presented analysis uses measurements from the Nordic power system. First, a static MLR model is developed to explain the variability of the damping of the 0.35-Hz inter-area mode in the Nordic system. Together with the static model, a dynamic MLR model is used for forecasting the damping 24 hours ahead, using day-ahead market forecasts. Test results indicate the proposed methods are able to correctly predict about 90% of the low damped operating conditions observed during a year, if day-ahead market forecasts are accurate. These results suggest that the methods could be used to issue early warnings about future operating conditions with low damping.
Sponsorship	IEEE Power Engineering Society
Starting Page	306
Ending Page	315
Page Count	10
File Size	1425256
File Format	PDF
ISSN	08858950
Volume Number	30
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Damping Correlation Phasor measurement units Power systems Mathematical model Load modeling Standards phasor measurement unit (PMU) data Damping forecast electromechanical oscillations multiple linear regression (MLR)
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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