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Distribution planning for distributed generation

Authors: R.C. Dugan; T.E. McDermott; G.J. Ball;

Distribution planning for distributed generation

Abstract

Distributed generation (DG) is attracting much interest as a means to more economically achieve additional capacity. Traditional distribution planning methods are often inadequate for determining if and when it is economical to consider DG options instead of the more familiar substation and feeder upgrades. New planning methods and computer tools are needed to help the planner better understand the true economic impact of each alternative. This paper describes a methodology for performing distribution planning that also permits the incorporation of such diverse means of improving the capacity and reliability of the system as DG, distribution automation (DA), and demand-side management (DSM).

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    selected citations
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    28
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
28
Top 10%
Top 1%
Top 10%
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