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Title: Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage
Authors: Gonçalves, José 
Neves, Luís 
Martins, António Gomes 
Keywords: Genetic algorithms Energy storage Power distribution networks Energy profiles Energy service NSGAII
Issue Date: 2015
Publisher: Springer
Project: CENTRO-07-0224-FEDER-002004 
Series/Report no.: Lecture Notes in Computer Science
Serial title, monograph or event: Lecture Notes in Computer Science
Volume: 9028
Abstract: The perception of the associated impacts among possible management schemes introduces a new way to assess energy storage systems. The ability to define a specific management scheme considering the different stakeholder objectives, both technical and economic, will increase the perception of available installation options. This paper presents a multiobjective feasibility assessment methodology using an improved version of the Non-dominated Sorting Genetic Algorithm II, to optimize the placement of electric energy storage units in order to improve the operation of distribution networks. The model is applied to a case study, using lithium-ion battery technology as an example. The results show the influence of different charging/discharging profiles on the choice of the best battery location, as well as the influence that these choices may have on the different network management objectives, e.g. increasing the integration of renewable generation. As an additional outcome, the authors propose a pricing scheme for filling the present regulatory gap regarding the pricing scheme to be applied to energy storage in order to allow the exploitation of viable business models.
ISBN: 978-3-319-16548-6
DOI: 10.1007/978-3-319-16549-3_19
Rights: embargoedAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais

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