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Analytical strategies for renewable distributed generation integration considering energy loss minimization

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 May 2013 Australia Publisher:Elsevier BVJournal:Applied Energy, volume 105, pages 75-85 (issn: 0306-2619,

Authors: Duong, Hung; Mithulananthan, Nadarajah; Bansal, Ramesh;

doi: 10.1016/j.apenergy.2012.12.023

Analytical strategies for renewable distributed generation integration considering energy loss minimization

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Abstract

This paper presents three alternative analytical expressions, including two new expressions, to determine the optimum sizes and operating strategy of distributed generation (DG) units considering power loss minimization and a methodology to identify the best location. These expressions can be easily adapted to consider the renewable DG units (i.e., biomass, wind and photovoltaic) for minimizing energy losses by considering time-varying demand and possible operating conditions of DG units. The results obtained on a 69-bus distribution test system demonstrate that the proposed approaches can be adequate to determine the location, size and power factor of DG unit for minimizing energy losses. The alternative expressions can be utilized depending on availability of required data and these produce similar outcomes.

Country

Australia

Related Organizations

University of Queensland
Australia
Queensland University of Technology
Australia
University of Queensland
Australia
University of Queensland
Australia

Keywords

2100 Energy, 690, Renewable energy, Monitoring, Policy and Law, 2210 Mechanical Engineering, Energy loss, 2215 Building and Construction, Analytical approach, Distributed generation (DG), Distribution system, 2308 Management

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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).	243
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	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 1%