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- Publisher Website: 10.1109/TPWRS.2013.2293577
- Scopus: eid_2-s2.0-84903170797
- WOS: WOS:000338189600005
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Article: Adaptive Coordinated Voltage Control-Part I: Basic Scheme
Title | Adaptive Coordinated Voltage Control-Part I: Basic Scheme |
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Authors | |
Keywords | Adaptive control Coordinated voltage control Learning control Model predictive control Multi-objective optimization |
Issue Date | 2014 |
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, 2014, v. 29 n. 4, p. 1546-1553 How to Cite? |
Abstract | Based on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II. |
Persistent Identifier | http://hdl.handle.net/10722/217013 |
ISSN | 2023 Impact Factor: 6.5 2023 SCImago Journal Rankings: 3.827 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ma, H | - |
dc.contributor.author | Hill, DJ | - |
dc.date.accessioned | 2015-09-18T05:46:02Z | - |
dc.date.available | 2015-09-18T05:46:02Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IEEE Transactions on Power Systems, 2014, v. 29 n. 4, p. 1546-1553 | - |
dc.identifier.issn | 0885-8950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/217013 | - |
dc.description.abstract | Based on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II. | - |
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 | IEEE Transactions on Power Systems. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.subject | Adaptive control | - |
dc.subject | Coordinated voltage control | - |
dc.subject | Learning control | - |
dc.subject | Model predictive control | - |
dc.subject | Multi-objective optimization | - |
dc.title | Adaptive Coordinated Voltage Control-Part I: Basic Scheme | - |
dc.type | Article | - |
dc.identifier.email | Ma, H: mahaomin@hku.hk | - |
dc.identifier.email | Hill, DJ: dhill@eee.hku.hk | - |
dc.identifier.authority | Hill, DJ=rp01669 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TPWRS.2013.2293577 | - |
dc.identifier.scopus | eid_2-s2.0-84903170797 | - |
dc.identifier.hkuros | 253892 | - |
dc.identifier.hkuros | 253735 | - |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1546 | - |
dc.identifier.epage | 1553 | - |
dc.identifier.isi | WOS:000338189600005 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0885-8950 | - |