File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TPWRS.2016.2622858
- Scopus: eid_2-s2.0-85021298766
- WOS: WOS:000404046600034
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Resilience Enhancement with Sequentially Proactive Operation Strategies
Title | Resilience Enhancement with Sequentially Proactive Operation Strategies |
---|---|
Authors | |
Keywords | Extreme weather events generation redispatch Markov model power system resilience sequentially proactive strategy |
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=59 |
Citation | IEEE Transactions on Power Systems, 2017, v. 32 n. 4, p. 2847-2857 How to Cite? |
Abstract | Extreme weather events, many of which are climate change related, are occurring with increasing frequency and intensity and causing catastrophic outages, reminding the need to enhance the resilience of power systems. This paper proposes a proactive operation strategy to enhance system resilience during an unfolding extreme event. The uncertain sequential transition of system states driven by the evolution of extreme events is modeled as a Markov process. At each decision epoch, the system topology is used to construct a Markov state. Transition probabilities are evaluated according to failure rates caused by extreme events. For each state, a recursive value function, including a current cost and a future cost, is established with operation constraints and intertemporal constraints. An optimal strategy is established by optimizing the recursive model, which is transformed into a mixed integer linear programming by using the linear scalarization method, with the probability of each state as the weight of each objective. The IEEE 30-bus system, the IEEE 118-bus system, and a realistic provincial power grid are used to validate the proposed method. The results demonstrate that the proposed proactive operation strategies can reduce the loss of load due to the development of extreme events. |
Persistent Identifier | http://hdl.handle.net/10722/237018 |
ISSN | 2023 Impact Factor: 6.5 2023 SCImago Journal Rankings: 3.827 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, C | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Qiu, F | - |
dc.contributor.author | Lei, S | - |
dc.contributor.author | Liu, K | - |
dc.date.accessioned | 2016-12-20T06:14:57Z | - |
dc.date.available | 2016-12-20T06:14:57Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Power Systems, 2017, v. 32 n. 4, p. 2847-2857 | - |
dc.identifier.issn | 0885-8950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/237018 | - |
dc.description.abstract | Extreme weather events, many of which are climate change related, are occurring with increasing frequency and intensity and causing catastrophic outages, reminding the need to enhance the resilience of power systems. This paper proposes a proactive operation strategy to enhance system resilience during an unfolding extreme event. The uncertain sequential transition of system states driven by the evolution of extreme events is modeled as a Markov process. At each decision epoch, the system topology is used to construct a Markov state. Transition probabilities are evaluated according to failure rates caused by extreme events. For each state, a recursive value function, including a current cost and a future cost, is established with operation constraints and intertemporal constraints. An optimal strategy is established by optimizing the recursive model, which is transformed into a mixed integer linear programming by using the linear scalarization method, with the probability of each state as the weight of each objective. The IEEE 30-bus system, the IEEE 118-bus system, and a realistic provincial power grid are used to validate the proposed method. The results demonstrate that the proposed proactive operation strategies can reduce the loss of load due to the development of extreme events. | - |
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=59 | - |
dc.relation.ispartof | IEEE Transactions on Power Systems | - |
dc.rights | ©2016 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 | Extreme weather events | - |
dc.subject | generation redispatch | - |
dc.subject | Markov model | - |
dc.subject | power system resilience | - |
dc.subject | sequentially proactive strategy | - |
dc.title | Resilience Enhancement with Sequentially Proactive Operation Strategies | - |
dc.type | Article | - |
dc.identifier.email | Hou, Y: yhhou@eee.hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/TPWRS.2016.2622858 | - |
dc.identifier.scopus | eid_2-s2.0-85021298766 | - |
dc.identifier.hkuros | 270773 | - |
dc.identifier.volume | 32 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 2847 | - |
dc.identifier.epage | 2857 | - |
dc.identifier.isi | WOS:000404046600034 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0885-8950 | - |