Integrated scheduling method of intelligent distribution network DSR and renewable energy based on MCS algorithm
In the intelligent distribution network environment, the demand side resources (DSR) are the electric vehicle, energy storage, controllable load and other resources located in different locations, showing the characteristics of small single capacity and decentralized layout. How to build a multi tim...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2020-02, Vol.440 (3), p.32010 |
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| creator | Qiu, Fengkai Fang, Cheng Zeng, Ming Tian, Shi Zheng, Zhengxian |
| description | In the intelligent distribution network environment, the demand side resources (DSR) are the electric vehicle, energy storage, controllable load and other resources located in different locations, showing the characteristics of small single capacity and decentralized layout. How to build a multi time scale integrated scheduling framework of demand side resources and renewable energy, to schedule the distributed demand side resources in an orderly manner, and to realize the efficient integration of demand side resources and renewable energy, are the key problems of demand side resources participating in grid scheduling. Based on this, this paper proposes a multi time scale integrated scheduling method based on hierarchical scheduling for DSR and renewable energy in intelligent distribution network, and uses the modified cuckoo search algorithm (MCS) to solve the problem. The effectiveness of the proposed model and algorithm is verified by the integrated scheduling of electric vehicles and renewable energy in intelligent distribution network. |
| doi_str_mv | 10.1088/1755-1315/440/3/032010 |
| format | Article |
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The effectiveness of the proposed model and algorithm is verified by the integrated scheduling of electric vehicles and renewable energy in intelligent distribution network.</description><subject>Algorithms</subject><subject>Demand</subject><subject>Electric vehicles</subject><subject>Energy</subject><subject>Energy distribution</subject><subject>Energy storage</subject><subject>Renewable energy</subject><subject>Renewable resources</subject><subject>Resource scheduling</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Search algorithms</subject><subject>Time</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObNG2TXsqcOpgI1vuQtkmX2TU1yRj792ZUJoLg1Tmc9-PAA8A1RncYMRZjmmURJjiL0xTFJEYkQRidgMlROD3uiJ6DC-fWCOU0JcUEDIvey9YKLxvo6pVstp3uW7iRfmUaaBTUQe863crew0Y7b3W19dr0sJd-Z-wHfCjfoOgbaGUvd6LqJAyLbfewEi6UBufLrISia43VfrW5BGdKdE5efc8pKB_n77PnaPn6tJjdL6M6xdRHSaUEkTWtUE2ZQLViitCcJUo1OUZUoYLKQhRIpFVVhYMUKStYTmhWY8zIFNyMrYM1n1vpPF-bre3DQ55kWZagNGE4uPLRVVvjnJWKD1ZvhN1zjPiBLT9g4weEPLDlhI9sQzAZg9oMP83_hm7_CM3n5S8bHxpFvgCATYlk</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Qiu, Fengkai</creator><creator>Fang, Cheng</creator><creator>Zeng, Ming</creator><creator>Tian, Shi</creator><creator>Zheng, Zhengxian</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20200201</creationdate><title>Integrated scheduling method of intelligent distribution network DSR and renewable energy based on MCS algorithm</title><author>Qiu, Fengkai ; Fang, Cheng ; Zeng, Ming ; Tian, Shi ; Zheng, Zhengxian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-2bfa3ec7b0c78a0cf8f37682ffd6107f097e9a90a4bbb107ea48986375c1183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Demand</topic><topic>Electric vehicles</topic><topic>Energy</topic><topic>Energy distribution</topic><topic>Energy storage</topic><topic>Renewable energy</topic><topic>Renewable resources</topic><topic>Resource scheduling</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>Search algorithms</topic><topic>Time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiu, Fengkai</creatorcontrib><creatorcontrib>Fang, Cheng</creatorcontrib><creatorcontrib>Zeng, Ming</creatorcontrib><creatorcontrib>Tian, Shi</creatorcontrib><creatorcontrib>Zheng, Zhengxian</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. 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| subjects | Algorithms Demand Electric vehicles Energy Energy distribution Energy storage Renewable energy Renewable resources Resource scheduling Schedules Scheduling Search algorithms Time |
| title | Integrated scheduling method of intelligent distribution network DSR and renewable energy based on MCS algorithm |
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