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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/isgt-e...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
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Tracing HVDC Flows using the proportional sharing principle

Authors: Eric Glende; Martin Wolter;

Tracing HVDC Flows using the proportional sharing principle

Abstract

Power flow partitioning is a topic of interest for European transmission system operators because of the increasing amount of Unscheduled Flows, which can cause congestions. Unscheduled Flows are caused by the transition to more and more renewable energy sources and the rising complexity of the European transnational energy market with insufficient price signals. To identify different flow types, the Full Line Decomposition (FLD) method can be used. The trend of grid extension goes more towards flexible AC transmission systems (FACTS) which have to be considered in a special way, since the actively changed power flow cannot be identified by FLD. New methods have to be developed. This publication presents a way to calculate and to classify partial power flows caused by FACTS, especially by high voltage DC (HVDC) transmission systems using the proportional sharing principle.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average