Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties
The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distribute...
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| Veröffentlicht in: | Journal of renewable and sustainable energy 2015-05, Vol.7 (3) |
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| container_title | Journal of renewable and sustainable energy |
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| creator | Sedghi, M. Ahmadian, A. Pashajavid, E. Aliakbar-Golkar, M. |
| description | The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling. |
| doi_str_mv | 10.1063/1.4922004 |
| format | Article |
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In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling.</description><identifier>ISSN: 1941-7012</identifier><identifier>EISSN: 1941-7012</identifier><identifier>DOI: 10.1063/1.4922004</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Batteries ; Cost engineering ; Distributed generation ; Electric vehicles ; Energy distribution ; Energy management ; Energy storage ; Load distribution (forces) ; Networks ; Optimization ; Production scheduling ; Reliability ; Scheduling ; Search algorithms ; Storage units ; Stress concentration ; Tabu search ; Uncertainty ; Wind power generation</subject><ispartof>Journal of renewable and sustainable energy, 2015-05, Vol.7 (3)</ispartof><rights>2015 AIP Publishing LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c257t-d1cb467f6e9263692667a2a213e4204dbc2bc0a078155cca9f11336c57cd9b573</citedby><cites>FETCH-LOGICAL-c257t-d1cb467f6e9263692667a2a213e4204dbc2bc0a078155cca9f11336c57cd9b573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Sedghi, M.</creatorcontrib><creatorcontrib>Ahmadian, A.</creatorcontrib><creatorcontrib>Pashajavid, E.</creatorcontrib><creatorcontrib>Aliakbar-Golkar, M.</creatorcontrib><title>Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties</title><title>Journal of renewable and sustainable energy</title><description>The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling.</description><subject>Batteries</subject><subject>Cost engineering</subject><subject>Distributed generation</subject><subject>Electric vehicles</subject><subject>Energy distribution</subject><subject>Energy management</subject><subject>Energy storage</subject><subject>Load distribution (forces)</subject><subject>Networks</subject><subject>Optimization</subject><subject>Production scheduling</subject><subject>Reliability</subject><subject>Scheduling</subject><subject>Search algorithms</subject><subject>Storage units</subject><subject>Stress concentration</subject><subject>Tabu search</subject><subject>Uncertainty</subject><subject>Wind power generation</subject><issn>1941-7012</issn><issn>1941-7012</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpNkMtOwzAURCMEEqWw4A8ssUIixa_YZIkqXlIlFsA6cuyb1CW1g-206nfww6RqF2xm7uLMXGmy7JrgGcGC3ZMZLynFmJ9kE1JykktM6Om_-zy7iHGFsaC4oJPs9yP5oFpAUS_BDJ11LWp8QL5Pdq06BA5Cu0Nr5UZoDS4h65DSyW4AGRtTsPWQrHfIQdr68I20d9EaCPuizitzh7bWjaqcQX03tPmYhw70mNRoA0urO4hocBpCUtYlC_EyO2tUF-Hq6NPs6_npc_6aL95f3uaPi1zTQqbcEF1zIRsBJRVMjCKkoooSBpxibmpNa40Vlg-kKLRWZUMIY0IXUpuyLiSbZjeH3j74nwFiqlZ-CG58WVFCueSMcjpStwdKBx9jgKbqwzhN2FUEV_vNK1IdN2d_oI52Fg</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Sedghi, M.</creator><creator>Ahmadian, A.</creator><creator>Pashajavid, E.</creator><creator>Aliakbar-Golkar, M.</creator><general>American Institute of Physics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20150501</creationdate><title>Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties</title><author>Sedghi, M. ; Ahmadian, A. ; Pashajavid, E. ; Aliakbar-Golkar, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c257t-d1cb467f6e9263692667a2a213e4204dbc2bc0a078155cca9f11336c57cd9b573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Batteries</topic><topic>Cost engineering</topic><topic>Distributed generation</topic><topic>Electric vehicles</topic><topic>Energy distribution</topic><topic>Energy management</topic><topic>Energy storage</topic><topic>Load distribution (forces)</topic><topic>Networks</topic><topic>Optimization</topic><topic>Production scheduling</topic><topic>Reliability</topic><topic>Scheduling</topic><topic>Search algorithms</topic><topic>Storage units</topic><topic>Stress concentration</topic><topic>Tabu search</topic><topic>Uncertainty</topic><topic>Wind power generation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sedghi, M.</creatorcontrib><creatorcontrib>Ahmadian, A.</creatorcontrib><creatorcontrib>Pashajavid, E.</creatorcontrib><creatorcontrib>Aliakbar-Golkar, M.</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>Sedghi, M.</au><au>Ahmadian, A.</au><au>Pashajavid, E.</au><au>Aliakbar-Golkar, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties</atitle><jtitle>Journal of renewable and sustainable energy</jtitle><date>2015-05-01</date><risdate>2015</risdate><volume>7</volume><issue>3</issue><issn>1941-7012</issn><eissn>1941-7012</eissn><abstract>The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4922004</doi></addata></record> |
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| language | eng |
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| source | AIP Journals Complete |
| subjects | Batteries Cost engineering Distributed generation Electric vehicles Energy distribution Energy management Energy storage Load distribution (forces) Networks Optimization Production scheduling Reliability Scheduling Search algorithms Storage units Stress concentration Tabu search Uncertainty Wind power generation |
| title | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
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