Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures
This paper introduces a stochastic reliability evaluation methodology for quantifying the impact of unmanaged plug-in hybrid electric vehicles (PHEVs') charging on the transformers' hottest spot temperature (HST)-dependent aging failures. Further, a novel PHEVs' charging management me...
Gespeichert in:
| Veröffentlicht in: | Journal of renewable and sustainable energy 2016-05, Vol.8 (3) |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 3 |
| container_start_page | |
| container_title | Journal of renewable and sustainable energy |
| container_volume | 8 |
| creator | Hamzeh, M. Hashemi-Dezaki, H. Askarian Abyaneh, H. Gharehpetian, G. B. Vahidi, B. |
| description | This paper introduces a stochastic reliability evaluation methodology for quantifying the impact of unmanaged plug-in hybrid electric vehicles (PHEVs') charging on the transformers' hottest spot temperature (HST)-dependent aging failures. Further, a novel PHEVs' charging management method has been proposed from the distribution transformers' dynamic thermal modeling perspective. The proposed reliability evaluation method provided the precise stochastic model corresponding to the PHEV owners' behavior. The introduced reliability evaluation methodology has been applied to an actual distribution system of the Hormozgan Regional Electrical Company in Iran under various PHEVs' charging scenarios. The numerical results imply that the distribution transformers' failures are adversely affected due to unmanaged PHEVs charging. The system under study has been simulated during a 10-year-period. The test results show that the transformers' HST-dependent failures due to the PHEVs' charging demand load exponentially increased as a function of system age. As revealed by the results, the proposed PHEVs' charging management methodology mitigates the aggregated peak load and transformers' HST by deferring the peak charging load to midnight. |
| doi_str_mv | 10.1063/1.4948929 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_scitation_primary_10_1063_1_4948929</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2121775714</sourcerecordid><originalsourceid>FETCH-LOGICAL-c327t-307444fab9c030e0e9eeb6f8de0a16bf69f3d8e4b2c1e2bac286c33ded597a2e3</originalsourceid><addsrcrecordid>eNqdkM1KxDAUhYsoOI4ufIOAC1HomL9pp0sZ_ANBEF2XNLlpM7ZJTdKBeRmf1Y4zoGtX93DvxzmXkyTnBM8IztgNmfGCLwpaHCQTUnCS5pjQwz_6ODkJYYVxRvGcTpKvVxM-UCesqKEDG5HTKHTCR1R7owKqRACFnEV9O9SpsajZVOMBQQsyeiPRGhojWwiXSDbC18bWSDobjAK_1dELG7TzHfgRaVyMECIKvYsoQteDF3HwkCrowaptvvix0MK04z6cJkdatAHO9nOavN_fvS0f0-eXh6fl7XMqGc1jynDOOdeiKiRmGDAUAFWmFwqwIFmls0IztQBeUUmAVkLSRSYZU6DmRS4osGlysfPtvfscxhfLlRu8HSNLSijJ83lO-Ehd7SjpXQgedNl7M5a1KQkut_WXpNzXP7LXOzZIE0U0zv4PXjv_C5a90uwblYOYWA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2121775714</pqid></control><display><type>article</type><title>Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures</title><source>AIP Journals Complete</source><creator>Hamzeh, M. ; Hashemi-Dezaki, H. ; Askarian Abyaneh, H. ; Gharehpetian, G. B. ; Vahidi, B.</creator><creatorcontrib>Hamzeh, M. ; Hashemi-Dezaki, H. ; Askarian Abyaneh, H. ; Gharehpetian, G. B. ; Vahidi, B.</creatorcontrib><description>This paper introduces a stochastic reliability evaluation methodology for quantifying the impact of unmanaged plug-in hybrid electric vehicles (PHEVs') charging on the transformers' hottest spot temperature (HST)-dependent aging failures. Further, a novel PHEVs' charging management method has been proposed from the distribution transformers' dynamic thermal modeling perspective. The proposed reliability evaluation method provided the precise stochastic model corresponding to the PHEV owners' behavior. The introduced reliability evaluation methodology has been applied to an actual distribution system of the Hormozgan Regional Electrical Company in Iran under various PHEVs' charging scenarios. The numerical results imply that the distribution transformers' failures are adversely affected due to unmanaged PHEVs charging. The system under study has been simulated during a 10-year-period. The test results show that the transformers' HST-dependent failures due to the PHEVs' charging demand load exponentially increased as a function of system age. As revealed by the results, the proposed PHEVs' charging management methodology mitigates the aggregated peak load and transformers' HST by deferring the peak charging load to midnight.</description><identifier>ISSN: 1941-7012</identifier><identifier>EISSN: 1941-7012</identifier><identifier>DOI: 10.1063/1.4948929</identifier><identifier>CODEN: JRSEBH</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Computer simulation ; Electric vehicle charging ; Electric vehicles ; Electrical loads ; Failure ; Hybrid electric vehicles ; Impact strength ; Mathematical models ; Methodology ; Peak load ; Reliability analysis ; Risk management ; Smart grid ; Temperature dependence ; Thermal analysis ; Transformers ; Trucks</subject><ispartof>Journal of renewable and sustainable energy, 2016-05, Vol.8 (3)</ispartof><rights>Author(s)</rights><rights>2016 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c327t-307444fab9c030e0e9eeb6f8de0a16bf69f3d8e4b2c1e2bac286c33ded597a2e3</citedby><cites>FETCH-LOGICAL-c327t-307444fab9c030e0e9eeb6f8de0a16bf69f3d8e4b2c1e2bac286c33ded597a2e3</cites><orcidid>0000-0003-1521-790X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/jrse/article-lookup/doi/10.1063/1.4948929$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>314,780,784,794,4512,27924,27925,76384</link.rule.ids></links><search><creatorcontrib>Hamzeh, M.</creatorcontrib><creatorcontrib>Hashemi-Dezaki, H.</creatorcontrib><creatorcontrib>Askarian Abyaneh, H.</creatorcontrib><creatorcontrib>Gharehpetian, G. B.</creatorcontrib><creatorcontrib>Vahidi, B.</creatorcontrib><title>Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures</title><title>Journal of renewable and sustainable energy</title><description>This paper introduces a stochastic reliability evaluation methodology for quantifying the impact of unmanaged plug-in hybrid electric vehicles (PHEVs') charging on the transformers' hottest spot temperature (HST)-dependent aging failures. Further, a novel PHEVs' charging management method has been proposed from the distribution transformers' dynamic thermal modeling perspective. The proposed reliability evaluation method provided the precise stochastic model corresponding to the PHEV owners' behavior. The introduced reliability evaluation methodology has been applied to an actual distribution system of the Hormozgan Regional Electrical Company in Iran under various PHEVs' charging scenarios. The numerical results imply that the distribution transformers' failures are adversely affected due to unmanaged PHEVs charging. The system under study has been simulated during a 10-year-period. The test results show that the transformers' HST-dependent failures due to the PHEVs' charging demand load exponentially increased as a function of system age. As revealed by the results, the proposed PHEVs' charging management methodology mitigates the aggregated peak load and transformers' HST by deferring the peak charging load to midnight.</description><subject>Computer simulation</subject><subject>Electric vehicle charging</subject><subject>Electric vehicles</subject><subject>Electrical loads</subject><subject>Failure</subject><subject>Hybrid electric vehicles</subject><subject>Impact strength</subject><subject>Mathematical models</subject><subject>Methodology</subject><subject>Peak load</subject><subject>Reliability analysis</subject><subject>Risk management</subject><subject>Smart grid</subject><subject>Temperature dependence</subject><subject>Thermal analysis</subject><subject>Transformers</subject><subject>Trucks</subject><issn>1941-7012</issn><issn>1941-7012</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqdkM1KxDAUhYsoOI4ufIOAC1HomL9pp0sZ_ANBEF2XNLlpM7ZJTdKBeRmf1Y4zoGtX93DvxzmXkyTnBM8IztgNmfGCLwpaHCQTUnCS5pjQwz_6ODkJYYVxRvGcTpKvVxM-UCesqKEDG5HTKHTCR1R7owKqRACFnEV9O9SpsajZVOMBQQsyeiPRGhojWwiXSDbC18bWSDobjAK_1dELG7TzHfgRaVyMECIKvYsoQteDF3HwkCrowaptvvix0MK04z6cJkdatAHO9nOavN_fvS0f0-eXh6fl7XMqGc1jynDOOdeiKiRmGDAUAFWmFwqwIFmls0IztQBeUUmAVkLSRSYZU6DmRS4osGlysfPtvfscxhfLlRu8HSNLSijJ83lO-Ehd7SjpXQgedNl7M5a1KQkut_WXpNzXP7LXOzZIE0U0zv4PXjv_C5a90uwblYOYWA</recordid><startdate>201605</startdate><enddate>201605</enddate><creator>Hamzeh, M.</creator><creator>Hashemi-Dezaki, H.</creator><creator>Askarian Abyaneh, H.</creator><creator>Gharehpetian, G. B.</creator><creator>Vahidi, B.</creator><general>American Institute of Physics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-1521-790X</orcidid></search><sort><creationdate>201605</creationdate><title>Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures</title><author>Hamzeh, M. ; Hashemi-Dezaki, H. ; Askarian Abyaneh, H. ; Gharehpetian, G. B. ; Vahidi, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-307444fab9c030e0e9eeb6f8de0a16bf69f3d8e4b2c1e2bac286c33ded597a2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computer simulation</topic><topic>Electric vehicle charging</topic><topic>Electric vehicles</topic><topic>Electrical loads</topic><topic>Failure</topic><topic>Hybrid electric vehicles</topic><topic>Impact strength</topic><topic>Mathematical models</topic><topic>Methodology</topic><topic>Peak load</topic><topic>Reliability analysis</topic><topic>Risk management</topic><topic>Smart grid</topic><topic>Temperature dependence</topic><topic>Thermal analysis</topic><topic>Transformers</topic><topic>Trucks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hamzeh, M.</creatorcontrib><creatorcontrib>Hashemi-Dezaki, H.</creatorcontrib><creatorcontrib>Askarian Abyaneh, H.</creatorcontrib><creatorcontrib>Gharehpetian, G. B.</creatorcontrib><creatorcontrib>Vahidi, B.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of renewable and sustainable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hamzeh, M.</au><au>Hashemi-Dezaki, H.</au><au>Askarian Abyaneh, H.</au><au>Gharehpetian, G. B.</au><au>Vahidi, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures</atitle><jtitle>Journal of renewable and sustainable energy</jtitle><date>2016-05</date><risdate>2016</risdate><volume>8</volume><issue>3</issue><issn>1941-7012</issn><eissn>1941-7012</eissn><coden>JRSEBH</coden><abstract>This paper introduces a stochastic reliability evaluation methodology for quantifying the impact of unmanaged plug-in hybrid electric vehicles (PHEVs') charging on the transformers' hottest spot temperature (HST)-dependent aging failures. Further, a novel PHEVs' charging management method has been proposed from the distribution transformers' dynamic thermal modeling perspective. The proposed reliability evaluation method provided the precise stochastic model corresponding to the PHEV owners' behavior. The introduced reliability evaluation methodology has been applied to an actual distribution system of the Hormozgan Regional Electrical Company in Iran under various PHEVs' charging scenarios. The numerical results imply that the distribution transformers' failures are adversely affected due to unmanaged PHEVs charging. The system under study has been simulated during a 10-year-period. The test results show that the transformers' HST-dependent failures due to the PHEVs' charging demand load exponentially increased as a function of system age. As revealed by the results, the proposed PHEVs' charging management methodology mitigates the aggregated peak load and transformers' HST by deferring the peak charging load to midnight.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4948929</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-1521-790X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1941-7012 |
| ispartof | Journal of renewable and sustainable energy, 2016-05, Vol.8 (3) |
| issn | 1941-7012 1941-7012 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_1_4948929 |
| source | AIP Journals Complete |
| subjects | Computer simulation Electric vehicle charging Electric vehicles Electrical loads Failure Hybrid electric vehicles Impact strength Mathematical models Methodology Peak load Reliability analysis Risk management Smart grid Temperature dependence Thermal analysis Transformers Trucks |
| title | Risk management of smart grids based on plug-in hybrid electric vehicles' charging considering transformers' hottest spot temperature-dependent aging failures |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T12%3A04%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20management%20of%20smart%20grids%20based%20on%20plug-in%20hybrid%20electric%20vehicles'%20charging%20considering%20transformers'%20hottest%20spot%20temperature-dependent%20aging%20failures&rft.jtitle=Journal%20of%20renewable%20and%20sustainable%20energy&rft.au=Hamzeh,%20M.&rft.date=2016-05&rft.volume=8&rft.issue=3&rft.issn=1941-7012&rft.eissn=1941-7012&rft.coden=JRSEBH&rft_id=info:doi/10.1063/1.4948929&rft_dat=%3Cproquest_scita%3E2121775714%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2121775714&rft_id=info:pmid/&rfr_iscdi=true |