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- Publisher Website: 10.1109/PESGM.2014.6939420
- Scopus: eid_2-s2.0-84931003453
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Conference Paper: Constructing Restoration Strategies with Availability Risk Constraints
Title | Constructing Restoration Strategies with Availability Risk Constraints |
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Authors | |
Keywords | availability bi-level framework restoration risk |
Issue Date | 2014 |
Publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581 |
Citation | The IEEE Power and Energy Society (PES) General Meeting, Washington, USA, 27-31 July 2014. In the IEEE Power and Energy Society General Meeting Proceedings, 2014 How to Cite? |
Abstract | System restoration strategies are established and implemented based on the availabilities of components of a system. However, due to lack of accurate information, availabilities of some components may not be known during establishment of restoration strategies after a blackout. In this paper, a novel risk-based methodology is proposed for constructing restoration strategies with stochastic availability constraints for both individual components and restoration paths. Based on a stochastic model of the availability, a multistage stochastic optimization model is constructed. A bi-level method is used to solve the proposed model. The established restoration strategy is to achieve a reasonable restoration duration subjects to operating constraints and acceptable risk levels. The proposed risk constraints are introduced into the EPRI's System Restoration Navigator (SRN) with a little modification. Case studies demonstrate the proposed model and methods. |
Persistent Identifier | http://hdl.handle.net/10722/204099 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Hou, Y | en_US |
dc.contributor.author | Qin, Z | en_US |
dc.contributor.author | Yan, J | - |
dc.date.accessioned | 2014-09-19T20:05:29Z | - |
dc.date.available | 2014-09-19T20:05:29Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | The IEEE Power and Energy Society (PES) General Meeting, Washington, USA, 27-31 July 2014. In the IEEE Power and Energy Society General Meeting Proceedings, 2014 | en_US |
dc.identifier.isbn | 9781479964154 | - |
dc.identifier.uri | http://hdl.handle.net/10722/204099 | - |
dc.description.abstract | System restoration strategies are established and implemented based on the availabilities of components of a system. However, due to lack of accurate information, availabilities of some components may not be known during establishment of restoration strategies after a blackout. In this paper, a novel risk-based methodology is proposed for constructing restoration strategies with stochastic availability constraints for both individual components and restoration paths. Based on a stochastic model of the availability, a multistage stochastic optimization model is constructed. A bi-level method is used to solve the proposed model. The established restoration strategy is to achieve a reasonable restoration duration subjects to operating constraints and acceptable risk levels. The proposed risk constraints are introduced into the EPRI's System Restoration Navigator (SRN) with a little modification. Case studies demonstrate the proposed model and methods. | - |
dc.language | eng | en_US |
dc.publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581 | - |
dc.relation.ispartof | IEEE Power and Energy Society General Meeting Proceedings | en_US |
dc.subject | availability | - |
dc.subject | bi-level framework | - |
dc.subject | restoration | - |
dc.subject | risk | - |
dc.title | Constructing Restoration Strategies with Availability Risk Constraints | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Hou, Y: yhhou@eee.hku.hk | en_US |
dc.identifier.authority | Hou, Y=rp00069 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/PESGM.2014.6939420 | - |
dc.identifier.scopus | eid_2-s2.0-84931003453 | - |
dc.identifier.hkuros | 239405 | en_US |
dc.publisher.place | United States | - |