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Conference Paper: Optimal PMU placement for wide-area monitoring using chemical reaction optimization

TitleOptimal PMU placement for wide-area monitoring using chemical reaction optimization
Authors
KeywordsChemical reaction process
Chemical-reaction optimizations
Meta-heuristic techniques
Near-optimal solutions
Phasor measurement unit (PMUs)
Renewable generation
Small-scale systems
Wide area monitoring
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1003148
Citation
The 4th IEEE PES Innovative Smart Grid Technologies Conference (ISGT 2013), Washington, DC., 24-27 February 2013. In 4th IEEE PES ISGT Proceedings, 2013, article no. 6497845 How to Cite?
AbstractThe problem of optimal placement of phasor measurement units (PMUs) was first studied using graph theoretic and mathematical programming methods. However, due to the increase of renewable generations, PMUs may be required not only in transmission networks, but also in sub-transmission, or even distribution networks. Hence, the size of this PMU placement problem will become too big for mathematical programming approaches. As a result, in this paper, we investigated solving this problem using a novel metaheuristic technique, called chemical reaction optimization (CRO). CRO loosely mimics the interactions between molecules in a chemical reaction process. Based on the canonical CRO, we propose a simplified version of CRO (SCRO) for the optimal PMU placement (OPP) problem. Both canonical CRO and SCRO are tested on the full observability of OPP in two scenarios, i.e., considering and not considering zero injections. To investigate the effectiveness of the proposed methods, we evaluate their performances in the IEEE 14-bus, 30-bus, 57-bus, 118-bus, and 300-bus standard systems as well as a large-scale system with 1180 buses. Our simulation results show that, compared with other deterministic and metaheuristc algorithms, SCRO can find the optimal solutions in a shorter time for small-scale systems, and a near-optimal solution within a reasonable time even for a large-scale system. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/184990
ISBN

 

DC FieldValueLanguage
dc.contributor.authorXu, Jen_US
dc.contributor.authorWen, MHFen_US
dc.contributor.authorLi, VOKen_US
dc.contributor.authorLeung, KCen_US
dc.date.accessioned2013-07-15T10:22:17Z-
dc.date.available2013-07-15T10:22:17Z-
dc.date.issued2013en_US
dc.identifier.citationThe 4th IEEE PES Innovative Smart Grid Technologies Conference (ISGT 2013), Washington, DC., 24-27 February 2013. In 4th IEEE PES ISGT Proceedings, 2013, article no. 6497845en_US
dc.identifier.isbn978-14673-4894-2-
dc.identifier.urihttp://hdl.handle.net/10722/184990-
dc.description.abstractThe problem of optimal placement of phasor measurement units (PMUs) was first studied using graph theoretic and mathematical programming methods. However, due to the increase of renewable generations, PMUs may be required not only in transmission networks, but also in sub-transmission, or even distribution networks. Hence, the size of this PMU placement problem will become too big for mathematical programming approaches. As a result, in this paper, we investigated solving this problem using a novel metaheuristic technique, called chemical reaction optimization (CRO). CRO loosely mimics the interactions between molecules in a chemical reaction process. Based on the canonical CRO, we propose a simplified version of CRO (SCRO) for the optimal PMU placement (OPP) problem. Both canonical CRO and SCRO are tested on the full observability of OPP in two scenarios, i.e., considering and not considering zero injections. To investigate the effectiveness of the proposed methods, we evaluate their performances in the IEEE 14-bus, 30-bus, 57-bus, 118-bus, and 300-bus standard systems as well as a large-scale system with 1180 buses. Our simulation results show that, compared with other deterministic and metaheuristc algorithms, SCRO can find the optimal solutions in a shorter time for small-scale systems, and a near-optimal solution within a reasonable time even for a large-scale system. © 2013 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1003148-
dc.relation.ispartofInnovative Smart Grid Technologies (ISGT) Proceedingsen_US
dc.rightsInnovative Smart Grid Technologies (ISGT) Proceedings. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectChemical reaction process-
dc.subjectChemical-reaction optimizations-
dc.subjectMeta-heuristic techniques-
dc.subjectNear-optimal solutions-
dc.subjectPhasor measurement unit (PMUs)-
dc.subjectRenewable generation-
dc.subjectSmall-scale systems-
dc.subjectWide area monitoring-
dc.titleOptimal PMU placement for wide-area monitoring using chemical reaction optimizationen_US
dc.typeConference_Paperen_US
dc.identifier.emailXu, J: xujin@eee.hku.hken_US
dc.identifier.emailWen, MHF: mileswen@eee.hku.hken_US
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.emailLeung, KC: kcleung@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150en_US
dc.identifier.authorityLeung, KC=rp00147en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ISGT.2013.6497845-
dc.identifier.scopuseid_2-s2.0-84876887774-
dc.identifier.hkuros216608en_US
dc.identifier.hkuros225552-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130718-

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