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- Publisher Website: 10.1109/TSTE.2017.2738014
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Article: Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration
Title | Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration |
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Authors | |
Keywords | Distribution system Dynamic reconfiguration Remote-controlled switch Renewable distributed generation Robust optimization. |
Issue Date | 2017 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 |
Citation | IEEE Transactions on Sustainable Energy, 2017, v. 9 n. 1, p. 420-432 How to Cite? |
Abstract | With growing penetration of renewable distributed generations (DGs) in distribution systems, effective integration of DGs has become a major concern. Distribution system dynamic reconfiguration (DSDR), which relies on real-time operations of remote-controlled switches, is potentially an efficient strategy receiving inadequate attention. Moreover, in most DSDR-related publications, normally all switches are assumed remotely controllable, which is not practical. Here we borrow the concept of critical switches to denote the switches that are most effective in accommodating DGs by DSDR. In this regard, the problem of identifying critical switches is not well investigated, although in several related publications, selected switches are assumed remote-controlled based on experience. In this work, we study the application of DSDR for DG integration. Critical switches, which optimally enable intra-day DSDR to minimize DG curtailments, are identified by limiting the number of switches to be operated and the switch-type-dependent operation constraints. Considering uncertainties of loads and DGs, the problem is formulated as a two-stage robust optimization model solved by a nested column-and-constraint generation algorithm. Illustrative cases show that DG curtailments can be significantly reduced by a small number of critical switches that operate only several times in intra-day DSDR. The proposed method can be used to provide insights for switch allocation, maintenance, and operation. |
Persistent Identifier | http://hdl.handle.net/10722/244975 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 4.364 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lei, S | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Qiu, F | - |
dc.contributor.author | Yan, J | - |
dc.date.accessioned | 2017-09-18T02:02:25Z | - |
dc.date.available | 2017-09-18T02:02:25Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Sustainable Energy, 2017, v. 9 n. 1, p. 420-432 | - |
dc.identifier.issn | 1949-3029 | - |
dc.identifier.uri | http://hdl.handle.net/10722/244975 | - |
dc.description.abstract | With growing penetration of renewable distributed generations (DGs) in distribution systems, effective integration of DGs has become a major concern. Distribution system dynamic reconfiguration (DSDR), which relies on real-time operations of remote-controlled switches, is potentially an efficient strategy receiving inadequate attention. Moreover, in most DSDR-related publications, normally all switches are assumed remotely controllable, which is not practical. Here we borrow the concept of critical switches to denote the switches that are most effective in accommodating DGs by DSDR. In this regard, the problem of identifying critical switches is not well investigated, although in several related publications, selected switches are assumed remote-controlled based on experience. In this work, we study the application of DSDR for DG integration. Critical switches, which optimally enable intra-day DSDR to minimize DG curtailments, are identified by limiting the number of switches to be operated and the switch-type-dependent operation constraints. Considering uncertainties of loads and DGs, the problem is formulated as a two-stage robust optimization model solved by a nested column-and-constraint generation algorithm. Illustrative cases show that DG curtailments can be significantly reduced by a small number of critical switches that operate only several times in intra-day DSDR. The proposed method can be used to provide insights for switch allocation, maintenance, and operation. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 | - |
dc.relation.ispartof | IEEE Transactions on Sustainable Energy | - |
dc.rights | IEEE Transactions on Sustainable Energy. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Distribution system | - |
dc.subject | Dynamic reconfiguration | - |
dc.subject | Remote-controlled switch | - |
dc.subject | Renewable distributed generation | - |
dc.subject | Robust optimization. | - |
dc.title | Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration | - |
dc.type | Article | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSTE.2017.2738014 | - |
dc.identifier.scopus | eid_2-s2.0-85029144668 | - |
dc.identifier.hkuros | 278156 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 420 | - |
dc.identifier.epage | 432 | - |
dc.identifier.isi | WOS:000418644700041 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1949-3029 | - |