Optimization model for charging infrastructure planning with electric power system reliability check
This paper presents a significantly improved optimization model for the planning of the charging infrastructure for electric-drive vehicles, where the optimization objective function is the minimization of overall (installation, maintenance, operation) placement costs of charging stations with regar...
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Veröffentlicht in: | Energy (Oxford) 2019-01, Vol.166, p.886-894 |
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description | This paper presents a significantly improved optimization model for the planning of the charging infrastructure for electric-drive vehicles, where the optimization objective function is the minimization of overall (installation, maintenance, operation) placement costs of charging stations with regards to a charging technology. The constraints involve the electric power system reliability check, ensuring charging reliability and the required quality of service of the charging infrastructure. In ensuring the charging reliability, at least one candidate location must be selected within the driving range of electric vehicles and suitable charging technologies placed to accommodate the disposable charging times of electric vehicle users for the requested quality of service. The proposed optimization model presents an upgrade of an existing optimization formulation since it includes a power system reliability check based on a DC power flow model. To show the general applicability and significance of the model, a test 10 × 10 grid road network and a standard six-bus test power system are considered. Numeric results illustrate the optimal charging stations placement layout and overall costs placement for different driving ranges and the required quality of service level by including a power system reliability check, to serve both the charging infrastructure investors and electric power system operators.
•Including the electric power system reliability check, to derive an optimal charging stations placement solution.•New constraints in the charging stations placement optimization model, to serve both the investors and network operators.•Lines outage criticality ranking, to provide network operators valuable information for the network expansion planning. |
doi_str_mv | 10.1016/j.energy.2018.10.150 |
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•Including the electric power system reliability check, to derive an optimal charging stations placement solution.•New constraints in the charging stations placement optimization model, to serve both the investors and network operators.•Lines outage criticality ranking, to provide network operators valuable information for the network expansion planning.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2018.10.150</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Charging ; Charging reliability ; Charging stations ; DC power flow model ; Electric power ; Electric power systems ; Electric vehicles ; Electric-drive vehicles ; Infrastructure ; Mathematical models ; Model testing ; Objective function ; Optimization ; Optimization models ; Placement ; Power flow ; Power supply ; Power system reliability check ; Quality of service ; Reliability engineering ; Stations ; System reliability</subject><ispartof>Energy (Oxford), 2019-01, Vol.166, p.886-894</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-a48be1f1f44b026ddc6ebe52d5b7436ded618327f5155ebe21c4f6ede1b1124c3</citedby><cites>FETCH-LOGICAL-c334t-a48be1f1f44b026ddc6ebe52d5b7436ded618327f5155ebe21c4f6ede1b1124c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2018.10.150$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Davidov, Sreten</creatorcontrib><creatorcontrib>Pantoš, Miloš</creatorcontrib><title>Optimization model for charging infrastructure planning with electric power system reliability check</title><title>Energy (Oxford)</title><description>This paper presents a significantly improved optimization model for the planning of the charging infrastructure for electric-drive vehicles, where the optimization objective function is the minimization of overall (installation, maintenance, operation) placement costs of charging stations with regards to a charging technology. The constraints involve the electric power system reliability check, ensuring charging reliability and the required quality of service of the charging infrastructure. In ensuring the charging reliability, at least one candidate location must be selected within the driving range of electric vehicles and suitable charging technologies placed to accommodate the disposable charging times of electric vehicle users for the requested quality of service. The proposed optimization model presents an upgrade of an existing optimization formulation since it includes a power system reliability check based on a DC power flow model. To show the general applicability and significance of the model, a test 10 × 10 grid road network and a standard six-bus test power system are considered. Numeric results illustrate the optimal charging stations placement layout and overall costs placement for different driving ranges and the required quality of service level by including a power system reliability check, to serve both the charging infrastructure investors and electric power system operators.
•Including the electric power system reliability check, to derive an optimal charging stations placement solution.•New constraints in the charging stations placement optimization model, to serve both the investors and network operators.•Lines outage criticality ranking, to provide network operators valuable information for the network expansion planning.</description><subject>Charging</subject><subject>Charging reliability</subject><subject>Charging stations</subject><subject>DC power flow model</subject><subject>Electric power</subject><subject>Electric power systems</subject><subject>Electric vehicles</subject><subject>Electric-drive vehicles</subject><subject>Infrastructure</subject><subject>Mathematical models</subject><subject>Model testing</subject><subject>Objective function</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Placement</subject><subject>Power flow</subject><subject>Power supply</subject><subject>Power system reliability check</subject><subject>Quality of service</subject><subject>Reliability engineering</subject><subject>Stations</subject><subject>System reliability</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwDzhY4pxiO7aTXpBQxUuq1AucrcTetA55sXZA5deTUs6cVpqdmdV-hFxztuCM69t6AR3gdr8QjOeLg6rYCZnxPEsTneXqlMxYqlmipBTn5CKEmjGm8uVyRtxmiL7130X0fUfb3kFDqx6p3RW49d2W-q7CIkQcbRwR6NAUXXfQv3zcUWjARvSWDv0XIA37EKGlCI0vSt_4uJ96wL5fkrOqaAJc_c05eXt8eF09J-vN08vqfp3YNJUxKWReAq94JWXJhHbOaihBCafKTKbagdM8T0VWKa7UtBHcykqDA15yLqRN5-Tm2Dtg_zFCiKbuR-ymk0bwTGgpc5lNLnl0WexDQKjMgL4tcG84MweepjZHnubA81dVbIrdHWMwffDpAU2wHjoLzuNEwbje_1_wA_ABg2U</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Davidov, Sreten</creator><creator>Pantoš, Miloš</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20190101</creationdate><title>Optimization model for charging infrastructure planning with electric power system reliability check</title><author>Davidov, Sreten ; Pantoš, Miloš</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-a48be1f1f44b026ddc6ebe52d5b7436ded618327f5155ebe21c4f6ede1b1124c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Charging</topic><topic>Charging reliability</topic><topic>Charging stations</topic><topic>DC power flow model</topic><topic>Electric power</topic><topic>Electric power systems</topic><topic>Electric vehicles</topic><topic>Electric-drive vehicles</topic><topic>Infrastructure</topic><topic>Mathematical models</topic><topic>Model testing</topic><topic>Objective function</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>Placement</topic><topic>Power flow</topic><topic>Power supply</topic><topic>Power system reliability check</topic><topic>Quality of service</topic><topic>Reliability engineering</topic><topic>Stations</topic><topic>System reliability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davidov, Sreten</creatorcontrib><creatorcontrib>Pantoš, Miloš</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davidov, Sreten</au><au>Pantoš, Miloš</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization model for charging infrastructure planning with electric power system reliability check</atitle><jtitle>Energy (Oxford)</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>166</volume><spage>886</spage><epage>894</epage><pages>886-894</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>This paper presents a significantly improved optimization model for the planning of the charging infrastructure for electric-drive vehicles, where the optimization objective function is the minimization of overall (installation, maintenance, operation) placement costs of charging stations with regards to a charging technology. The constraints involve the electric power system reliability check, ensuring charging reliability and the required quality of service of the charging infrastructure. In ensuring the charging reliability, at least one candidate location must be selected within the driving range of electric vehicles and suitable charging technologies placed to accommodate the disposable charging times of electric vehicle users for the requested quality of service. The proposed optimization model presents an upgrade of an existing optimization formulation since it includes a power system reliability check based on a DC power flow model. To show the general applicability and significance of the model, a test 10 × 10 grid road network and a standard six-bus test power system are considered. Numeric results illustrate the optimal charging stations placement layout and overall costs placement for different driving ranges and the required quality of service level by including a power system reliability check, to serve both the charging infrastructure investors and electric power system operators.
•Including the electric power system reliability check, to derive an optimal charging stations placement solution.•New constraints in the charging stations placement optimization model, to serve both the investors and network operators.•Lines outage criticality ranking, to provide network operators valuable information for the network expansion planning.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2018.10.150</doi><tpages>9</tpages></addata></record> |
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subjects | Charging Charging reliability Charging stations DC power flow model Electric power Electric power systems Electric vehicles Electric-drive vehicles Infrastructure Mathematical models Model testing Objective function Optimization Optimization models Placement Power flow Power supply Power system reliability check Quality of service Reliability engineering Stations System reliability |
title | Optimization model for charging infrastructure planning with electric power system reliability check |
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