Energy storage system location selection for smart grid applications on distribution networks

Every day, the evaluation of classical distribution networks (DNs) to smart grids (SGs) has become a necessity, and renewable energy sources (RESs) are an important part for smart grids. One of the most significant problems for RESs is the sustainability of energy, because the raw material storage i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electrical engineering 2017-03, Vol.99 (1), p.357-366
Hauptverfasser: Bahceci, Serkan, Dogan, Ahmet, Yalcinoz, Tankut, Daldaban, Ferhat
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 366
container_issue 1
container_start_page 357
container_title Electrical engineering
container_volume 99
creator Bahceci, Serkan
Dogan, Ahmet
Yalcinoz, Tankut
Daldaban, Ferhat
description Every day, the evaluation of classical distribution networks (DNs) to smart grids (SGs) has become a necessity, and renewable energy sources (RESs) are an important part for smart grids. One of the most significant problems for RESs is the sustainability of energy, because the raw material storage is not possible for renewable energy sources as photovoltaic (PV), wind, etc. Therefore, energy storage systems (ESSs) have an important place for RESs and SGs. The aim of this paper is ESS location selection for selected distribution networks. In this paper, a PV array is modelled and connected to DN randomly as unlicensed manufacturers, and a location planning algorithm (LPA) for location selection of ESSs is studied for higher energy quality at DNs. The location is determined for optimum ESS usage connecting the ESS to the correct bus decreases the power losses and increases the voltage levels. Besides, energy can be stored at the peak-off time, and stored energy can be used at the peak times for the lower cost with the usage of ESSs. Thus, the optimum usage of ESSs will be provided for RESs and SGs.
doi_str_mv 10.1007/s00202-016-0416-z
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1880767924</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1880767924</sourcerecordid><originalsourceid>FETCH-LOGICAL-c357t-94d390dfbc05d3e1904c7a414134238c4cd0af337ea92cc81a6c192f79d4a4ac3</originalsourceid><addsrcrecordid>eNp1kE1PwzAMhiMEEmPwA7hF4lxwPrY0RzSND2kSFziiKEvTqqNrSpwJbb-esHLgwsW27Oe15ZeQawa3DEDdIQAHXgCbFyBzOJyQCZMid2SpTskEtCwLpTk7JxeIGwAQMy0n5H3Z-9jsKaYQbeMp7jH5Le2Cs6kNPUXfeXes6hApbm1MtIltRe0wdO0IIc3jqsUU2_XuyPY-fYX4gZfkrLYd-qvfPCVvD8vXxVOxenl8XtyvCidmKhVaVkJDVa8dzCrhmQbplJVMMiG5KJ10FdhaCOWt5s6VzM4d07xWupJWWiem5GbcO8TwufOYzCbsYp9PGlaWoOb5c5kpNlIuBsToazPENn-0NwzMj4tmdNFkF82Pi-aQNXzUYGb7xsc_m_8VfQO-R3dM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1880767924</pqid></control><display><type>article</type><title>Energy storage system location selection for smart grid applications on distribution networks</title><source>Springer journals</source><creator>Bahceci, Serkan ; Dogan, Ahmet ; Yalcinoz, Tankut ; Daldaban, Ferhat</creator><creatorcontrib>Bahceci, Serkan ; Dogan, Ahmet ; Yalcinoz, Tankut ; Daldaban, Ferhat</creatorcontrib><description>Every day, the evaluation of classical distribution networks (DNs) to smart grids (SGs) has become a necessity, and renewable energy sources (RESs) are an important part for smart grids. One of the most significant problems for RESs is the sustainability of energy, because the raw material storage is not possible for renewable energy sources as photovoltaic (PV), wind, etc. Therefore, energy storage systems (ESSs) have an important place for RESs and SGs. The aim of this paper is ESS location selection for selected distribution networks. In this paper, a PV array is modelled and connected to DN randomly as unlicensed manufacturers, and a location planning algorithm (LPA) for location selection of ESSs is studied for higher energy quality at DNs. The location is determined for optimum ESS usage connecting the ESS to the correct bus decreases the power losses and increases the voltage levels. Besides, energy can be stored at the peak-off time, and stored energy can be used at the peak times for the lower cost with the usage of ESSs. Thus, the optimum usage of ESSs will be provided for RESs and SGs.</description><identifier>ISSN: 0948-7921</identifier><identifier>EISSN: 1432-0487</identifier><identifier>DOI: 10.1007/s00202-016-0416-z</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Alternative energy sources ; Economics and Management ; Electrical Engineering ; Electrical Machines and Networks ; Energy Policy ; Energy resources ; Energy storage ; Engineering ; Internal energy ; Networks ; Original Paper ; Photovoltaic cells ; Power Electronics ; Renewable energy sources ; Renewable resources ; Site selection ; Smart grid ; Storage systems</subject><ispartof>Electrical engineering, 2017-03, Vol.99 (1), p.357-366</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><rights>Copyright Springer Science &amp; Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-94d390dfbc05d3e1904c7a414134238c4cd0af337ea92cc81a6c192f79d4a4ac3</citedby><cites>FETCH-LOGICAL-c357t-94d390dfbc05d3e1904c7a414134238c4cd0af337ea92cc81a6c192f79d4a4ac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00202-016-0416-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00202-016-0416-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Bahceci, Serkan</creatorcontrib><creatorcontrib>Dogan, Ahmet</creatorcontrib><creatorcontrib>Yalcinoz, Tankut</creatorcontrib><creatorcontrib>Daldaban, Ferhat</creatorcontrib><title>Energy storage system location selection for smart grid applications on distribution networks</title><title>Electrical engineering</title><addtitle>Electr Eng</addtitle><description>Every day, the evaluation of classical distribution networks (DNs) to smart grids (SGs) has become a necessity, and renewable energy sources (RESs) are an important part for smart grids. One of the most significant problems for RESs is the sustainability of energy, because the raw material storage is not possible for renewable energy sources as photovoltaic (PV), wind, etc. Therefore, energy storage systems (ESSs) have an important place for RESs and SGs. The aim of this paper is ESS location selection for selected distribution networks. In this paper, a PV array is modelled and connected to DN randomly as unlicensed manufacturers, and a location planning algorithm (LPA) for location selection of ESSs is studied for higher energy quality at DNs. The location is determined for optimum ESS usage connecting the ESS to the correct bus decreases the power losses and increases the voltage levels. Besides, energy can be stored at the peak-off time, and stored energy can be used at the peak times for the lower cost with the usage of ESSs. Thus, the optimum usage of ESSs will be provided for RESs and SGs.</description><subject>Algorithms</subject><subject>Alternative energy sources</subject><subject>Economics and Management</subject><subject>Electrical Engineering</subject><subject>Electrical Machines and Networks</subject><subject>Energy Policy</subject><subject>Energy resources</subject><subject>Energy storage</subject><subject>Engineering</subject><subject>Internal energy</subject><subject>Networks</subject><subject>Original Paper</subject><subject>Photovoltaic cells</subject><subject>Power Electronics</subject><subject>Renewable energy sources</subject><subject>Renewable resources</subject><subject>Site selection</subject><subject>Smart grid</subject><subject>Storage systems</subject><issn>0948-7921</issn><issn>1432-0487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kE1PwzAMhiMEEmPwA7hF4lxwPrY0RzSND2kSFziiKEvTqqNrSpwJbb-esHLgwsW27Oe15ZeQawa3DEDdIQAHXgCbFyBzOJyQCZMid2SpTskEtCwLpTk7JxeIGwAQMy0n5H3Z-9jsKaYQbeMp7jH5Le2Cs6kNPUXfeXes6hApbm1MtIltRe0wdO0IIc3jqsUU2_XuyPY-fYX4gZfkrLYd-qvfPCVvD8vXxVOxenl8XtyvCidmKhVaVkJDVa8dzCrhmQbplJVMMiG5KJ10FdhaCOWt5s6VzM4d07xWupJWWiem5GbcO8TwufOYzCbsYp9PGlaWoOb5c5kpNlIuBsToazPENn-0NwzMj4tmdNFkF82Pi-aQNXzUYGb7xsc_m_8VfQO-R3dM</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Bahceci, Serkan</creator><creator>Dogan, Ahmet</creator><creator>Yalcinoz, Tankut</creator><creator>Daldaban, Ferhat</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20170301</creationdate><title>Energy storage system location selection for smart grid applications on distribution networks</title><author>Bahceci, Serkan ; Dogan, Ahmet ; Yalcinoz, Tankut ; Daldaban, Ferhat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-94d390dfbc05d3e1904c7a414134238c4cd0af337ea92cc81a6c192f79d4a4ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Alternative energy sources</topic><topic>Economics and Management</topic><topic>Electrical Engineering</topic><topic>Electrical Machines and Networks</topic><topic>Energy Policy</topic><topic>Energy resources</topic><topic>Energy storage</topic><topic>Engineering</topic><topic>Internal energy</topic><topic>Networks</topic><topic>Original Paper</topic><topic>Photovoltaic cells</topic><topic>Power Electronics</topic><topic>Renewable energy sources</topic><topic>Renewable resources</topic><topic>Site selection</topic><topic>Smart grid</topic><topic>Storage systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bahceci, Serkan</creatorcontrib><creatorcontrib>Dogan, Ahmet</creatorcontrib><creatorcontrib>Yalcinoz, Tankut</creatorcontrib><creatorcontrib>Daldaban, Ferhat</creatorcontrib><collection>CrossRef</collection><jtitle>Electrical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bahceci, Serkan</au><au>Dogan, Ahmet</au><au>Yalcinoz, Tankut</au><au>Daldaban, Ferhat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy storage system location selection for smart grid applications on distribution networks</atitle><jtitle>Electrical engineering</jtitle><stitle>Electr Eng</stitle><date>2017-03-01</date><risdate>2017</risdate><volume>99</volume><issue>1</issue><spage>357</spage><epage>366</epage><pages>357-366</pages><issn>0948-7921</issn><eissn>1432-0487</eissn><abstract>Every day, the evaluation of classical distribution networks (DNs) to smart grids (SGs) has become a necessity, and renewable energy sources (RESs) are an important part for smart grids. One of the most significant problems for RESs is the sustainability of energy, because the raw material storage is not possible for renewable energy sources as photovoltaic (PV), wind, etc. Therefore, energy storage systems (ESSs) have an important place for RESs and SGs. The aim of this paper is ESS location selection for selected distribution networks. In this paper, a PV array is modelled and connected to DN randomly as unlicensed manufacturers, and a location planning algorithm (LPA) for location selection of ESSs is studied for higher energy quality at DNs. The location is determined for optimum ESS usage connecting the ESS to the correct bus decreases the power losses and increases the voltage levels. Besides, energy can be stored at the peak-off time, and stored energy can be used at the peak times for the lower cost with the usage of ESSs. Thus, the optimum usage of ESSs will be provided for RESs and SGs.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00202-016-0416-z</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0948-7921
ispartof Electrical engineering, 2017-03, Vol.99 (1), p.357-366
issn 0948-7921
1432-0487
language eng
recordid cdi_proquest_journals_1880767924
source Springer journals
subjects Algorithms
Alternative energy sources
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Energy resources
Energy storage
Engineering
Internal energy
Networks
Original Paper
Photovoltaic cells
Power Electronics
Renewable energy sources
Renewable resources
Site selection
Smart grid
Storage systems
title Energy storage system location selection for smart grid applications on distribution networks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T15%3A32%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Energy%20storage%20system%20location%20selection%20for%20smart%20grid%20applications%20on%20distribution%20networks&rft.jtitle=Electrical%20engineering&rft.au=Bahceci,%20Serkan&rft.date=2017-03-01&rft.volume=99&rft.issue=1&rft.spage=357&rft.epage=366&rft.pages=357-366&rft.issn=0948-7921&rft.eissn=1432-0487&rft_id=info:doi/10.1007/s00202-016-0416-z&rft_dat=%3Cproquest_cross%3E1880767924%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1880767924&rft_id=info:pmid/&rfr_iscdi=true