Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/80992
Title: Methodology for real impact assessment of the best location of distributed electric energy storage
Authors: Gonçalves, José 
Martins, António 
Neves, Luís 
Keywords: Distributed electric energy storage Genetic algorithms Electric networks Energy profiles Energy service Methodology
Issue Date: 2016
Publisher: Elsevier
Project: PEst-OE/EEI/UI0308/2014 
Abstract: This paper presents a methodology to provide a decision maker, e.g. the distribution system operator, information on the associated impacts of the operation of distributed electric energy storage systems (ESS1) in an urban environment, in order to support the choice of the best locations of storage units. The developed methodology uses three types of profile prototypes based on actual data, obtained through clustering techniques. These profiles, which include electricity demand, electricity prices and renewable electricity production, are used to optimize the placement of electric energy storage units. The paper considers expected attitudes of the main stakeholders towards distributed electric ESS implementation, and discusses possible regulatory framework options to define the distributed electric ESS business model. The model was applied to a case study using the nanophosphate lithium-ion battery technology as an example. Results show a significant influence of the charge/discharge profile of batteries on the choice of their best locations.
URI: http://hdl.handle.net/10316/80992
ISSN: 2210-6707
DOI: 10.1016/j.scs.2016.05.010
Rights: embargoedAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais

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