Publication
Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage
| Summary: | 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. |
|---|---|
| Main Authors: | Gonçalves, José |
| Other Authors: | Neves, Luís; Martins, António Gomes |
| Subject: | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| Year: | 2015 |
| Country: | Portugal |
| Document type: | book part |
| Access type: | open access |
| Associated institution: | Universidade de Leiria e Oeste |
| Language: | English |
| Origin: | IC-online |
| _version_ | 1877756216520736768 |
|---|---|
| author | Gonçalves, José |
| author2 | Neves, Luís Martins, António Gomes |
| author2_role | author author |
| author_facet | Gonçalves, José Neves, Luís Martins, António Gomes |
| author_role | author |
| contributor_name_str_mv | Repositório IC-Online |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Gonçalves, José\"},{\"Person.name\":\"Neves, Luís\",\"Person.identifier.cienciaID\":\"591E-30D4-2C97\",\"Person.identifier.orcid\":\"0000-0002-2600-5622\",\"Person.identifier.scopusAuthorID\":\"34977315800\"},{\"Person.name\":\"Martins, António Gomes\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório IC-Online |
| datacite.creators.creator.creatorName.fl_str_mv | Gonçalves, José Neves, Luís Martins, António Gomes |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2025-12-16T19:36:29Z |
| datacite.date.embargoed.fl_str_mv | 2025-12-16T19:36:29Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| datacite.titles.title.fl_str_mv | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| dc.contributor.none.fl_str_mv | Repositório IC-Online |
| dc.creator.none.fl_str_mv | Gonçalves, José Neves, Luís Martins, António Gomes |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2025-12-16T19:36:29Z |
| dc.date.embargoed.fl_str_mv | 2025-12-16T19:36:29Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.8/15108 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer Nature |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| dc.title.fl_str_mv | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://iconline.ulo.pt/bitstreams/b8ff9652-5873-4c4d-995b-7add4c7e547a/download |
| id | iconline_b12abf749e86af72edd17e3f94955c5d |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.8/15108 |
| inst_facet_str | urn:organizationAcronym:ulo{{{_:::_}}}Universidade de Leiria e Oeste |
| instacron_str | ulo |
| institution | Universidade de Leiria e Oeste |
| instname_str | Universidade de Leiria e Oeste |
| language | eng |
| network_acronym_str | iconline |
| network_name_str | IC-online |
| oai_identifier_str | oai:iconline.ulo.pt:10400.8/15108 |
| organization_str_mv | urn:organizationAcronym:ulo |
| person_str_mv | Gonçalves, José Neves, Luís Neves, Luís https://www.ciencia-id.pt/591E-30D4-2C97 591E-30D4-2C97 http://orcid.org/0000-0002-2600-5622 0000-0002-2600-5622 Martins, António Gomes |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Springer Nature |
| repo_facet_str | urn:repositoryAcronym:iconline{{{_:::_}}}IC-online |
| reponame_str | IC-online |
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| service_str_mv | urn:repositoryAcronym:iconline |
| spelling | engSpringer NatureengThe 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.application/pdfengMultiobjective Methodology for Assessing the Location of Distributed Electric Energy StorageGonçalves, JoséPersonalNeves, LuísDSpacehttp://dspace.org/items/5315d446-6d51-4d95-aeaa-72b6a44a4838DSpacehttp://dspace.org/items/5315d446-6d51-4d95-aeaa-72b6a44a4838Pires NevesLuísCiência IDhttps://www.ciencia-id.pt591E-30D4-2C97ORCIDhttp://orcid.org0000-0002-2600-5622Scopus Author IDhttps://www.scopus.com34977315800Martins, António GomesHostingInstitutionOrganizationalRepositório IC-Onlinee-mailmailto:repositorio@ulo.ptrepositorio@ulo.ptISBNIsPartOf9783319165486ISBNIsPartOf9783319165493ISSNIsPartOf0302-9743ISSNIsPartOf1611-3349DOIIsPartOf10.1007/978-3-319-16549-3_192025-12-16T19:36:29Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.8/15108http://purl.org/coar/access_right/c_abf2open accessEnergy profilesEnergy serviceEnergy storageGenetic algorithmsNSGAIIPower distribution networks219865 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book part2015http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://iconline.ulo.pt/bitstreams/b8ff9652-5873-4c4d-995b-7add4c7e547a/downloadApplications of Evolutionary Computation9028 |
| spellingShingle | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage Gonçalves, José Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| status | SINGLETON |
| subject.fl_str_mv | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| title | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| title_full | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| title_fullStr | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| title_full_unstemmed | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| title_short | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| title_sort | Multiobjective Methodology for Assessing the Location of Distributed Electric Energy Storage |
| topic | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| topic_facet | Energy profiles Energy service Energy storage Genetic algorithms NSGAII Power distribution networks |
| url | http://hdl.handle.net/10400.8/15108 |
| visible | 1 |
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