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Comparison of planning alternatives for active distribution networks

Authors: PILO, FABRIZIO GIULIO LUCA; SOMA, GIAN GIUSEPPE; CELLI, GIANNI; GHIANI, EMILIO; Cicoria R; Corti S.;

Comparison of planning alternatives for active distribution networks

Abstract

A key element on the development of the future active distribution networks is to provide the network with storage devices, in order to compensate possible negative effects brought by a large integration of unpredictable generation. Software tools to aid Distributors to correctly assess the effectiveness of the use of storage as an alternative to traditional planning solutions (e.g. upgrading of the distribution lines) can be useful to planner engineers. The tool developed by the authors assists the DSO in defining the best integration strategies of distributed storage systems in distribution networks and in assessing their potential as an option for a more efficient operation and expansion of future electricity distribution networks. Examples derived by a representative distribution network are presented. (4 pages)

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Italy
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
7
Average
Top 10%
Top 10%
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