NDLI: Synchronized Phasors Monitoring During the Islanding Maneuver of an Active Distribution Network

Content Provider	IEEE Xplore Digital Library
Author	Borghetti, A. Nucci, C.A. Paolone, M. Ciappi, G. Solari, A.
Copyright Year	2010
Abstract	The paper describes the performances of a phasor measurement unit (PMU) prototype based on a synchrophasor estimation algorithm conceived for the monitoring of active distribution networks, as well as its experimental application during some intentional islanding and reconnection tests of an urban medium voltage power network. With respect to typical applications in transmission networks, the use of PMUs in distribution networks requires very low values of total vector error (TVE), which involves particular low values of phase errors of the synchrophasor estimates. These requirements are met by a specifically developed PMU, the characteristics and experimental characterization of which are illustrated in the paper. Three of these PMUs have been then used to monitor experimental tests carried out to assess the capability of a urban distribution network to operate autonomously when fed by a local 80 MW combined-cycle power plant. The information provided by the installed PMUs significantly facilitate the operator maneuvers and appear to be useful for the development of an improved control and management system of the active distribution network.
Starting Page	82
Ending Page	91
Page Count	10
File Size	816666
File Format	PDF
ISSN	19493053
Volume Number	2
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phasor measurement units Frequency estimation Time frequency analysis Power generation Estimation Monitoring synchrophasor uncertainties Active distribution networks islanding maneuver phasor measurement unit (PMU)
Content Type	Text
Resource Type	Article
Subject	Computer Science

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