Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids
The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart g...
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| Veröffentlicht in: | IEEE transactions on power systems 2018-03, Vol.33 (2), p.1507-1520 |
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| container_title | IEEE transactions on power systems |
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| creator | Chen, Bo Chen, Chen Wang, Jianhui Butler-Purry, Karen L. |
| description | The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart grids. In this paper, a sequential service restoration (SSR) framework is proposed to generate restoration solutions for distribution systems and microgrids in the event of large-scale power outages. The restoration solution contains a sequence of control actions that properly coordinate switches, distributed generators, and switchable loads to form multiple isolated microgrids. The SSR can be applied for three-phase unbalanced distribution systems and microgrids and can adapt to various operation conditions. Mathematical models are introduced for three-phase unbalanced power flow, voltage regulators, transformers, and loads. The SSR problem is formulated as a mixed-integer linear programming model, and its effectiveness is evaluated via the modified IEEE 123 node test feeder. |
| doi_str_mv | 10.1109/TPWRS.2017.2720122 |
| format | Article |
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The SSR problem is formulated as a mixed-integer linear programming model, and its effectiveness is evaluated via the modified IEEE 123 node test feeder.</description><subject>Distributed generator</subject><subject>distribution system</subject><subject>Load flow</subject><subject>Load modeling</subject><subject>Mathematical model</subject><subject>microgrid</subject><subject>Microgrids</subject><subject>mixed-integer linear programming (MILP)</subject><subject>restoration sequence</subject><subject>self-healing</subject><subject>service restoration</subject><subject>Switches</subject><subject>Voltage control</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAURC0EEqXwA7DxD6T4xnEcL1F5SkVA04pl5Mc1MmoTsFOk_j1pi1jNYnRmpEPIJbAJAFPXi9f3eT3JGchJLofI8yMyAiGqjJVSHZMRqyqRVUqwU3KW0idjrByKEXmr8XuDbR_0itYYf4JFOsfUd1H3oWup7yJdtkavdGvR0duQ-hjMZt_V29TjOlHdOvocbOw-YnDpnJx4vUp48Zdjsry_W0wfs9nLw9P0ZpZZXrI-K60UFgDQAJfGFcrmThdWO8a1E2WlvNMesILCWMmdB-8Lr6T2KLjxheFjkh92h-OUIvrmK4a1jtsGWLOT0uylNDspzZ-UAbo6QAER_wGpJCgu-C_ciGE9</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Chen, Bo</creator><creator>Chen, Chen</creator><creator>Wang, Jianhui</creator><creator>Butler-Purry, Karen L.</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-9716-3484</orcidid><orcidid>https://orcid.org/0000-0003-4145-0676</orcidid></search><sort><creationdate>201803</creationdate><title>Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids</title><author>Chen, Bo ; Chen, Chen ; Wang, Jianhui ; Butler-Purry, Karen L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-6c75c111eb137bd49c2da4cad03ad5689fdaf1e814bc73df1ff4f97afe53bf4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Distributed generator</topic><topic>distribution system</topic><topic>Load flow</topic><topic>Load modeling</topic><topic>Mathematical model</topic><topic>microgrid</topic><topic>Microgrids</topic><topic>mixed-integer linear programming (MILP)</topic><topic>restoration sequence</topic><topic>self-healing</topic><topic>service restoration</topic><topic>Switches</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Bo</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Wang, Jianhui</creatorcontrib><creatorcontrib>Butler-Purry, Karen L.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen, Bo</au><au>Chen, Chen</au><au>Wang, Jianhui</au><au>Butler-Purry, Karen L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2018-03</date><risdate>2018</risdate><volume>33</volume><issue>2</issue><spage>1507</spage><epage>1520</epage><pages>1507-1520</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart grids. In this paper, a sequential service restoration (SSR) framework is proposed to generate restoration solutions for distribution systems and microgrids in the event of large-scale power outages. The restoration solution contains a sequence of control actions that properly coordinate switches, distributed generators, and switchable loads to form multiple isolated microgrids. The SSR can be applied for three-phase unbalanced distribution systems and microgrids and can adapt to various operation conditions. Mathematical models are introduced for three-phase unbalanced power flow, voltage regulators, transformers, and loads. 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| source | IEEE Electronic Library (IEL) |
| subjects | Distributed generator distribution system Load flow Load modeling Mathematical model microgrid Microgrids mixed-integer linear programming (MILP) restoration sequence self-healing service restoration Switches Voltage control |
| title | Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids |
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