Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/14542
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dc.contributor.authorAbd Rahman, NHA-
dc.contributor.authorZobaa, AF-
dc.date.accessioned2017-05-16T13:50:57Z-
dc.date.available2017-05-16T13:50:57Z-
dc.date.issued2017-06-16-
dc.identifier.citationRahman, N.H.A. and Zobaa, A.F. (2017) 'Integrated Mutation Strategy With Modified Binary PSO Algorithm for Optimal PMUs Placement,' IEEE Transactions on Industrial Informatics, 13(6), pp. 3124-3133. doi: 10.1109/TII.2017.2708724.en_US
dc.identifier.issn1941-0050-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/14542-
dc.description.abstractOptimal phasor measurement units (PMUs) placement refers to the strategic placement of PMUs to achieve the full observability of power systems with a minimum number of PMUs. A strategic placement is needed because of the economic or technical restriction that hinders the deployment of PMUs on every bus. A modified version of the binary particle swarm optimization (BPSO) method is proposed in this paper by integrating a mutation strategy and the V-shaped sigmoid function for placing the PMUs that maintains the full power system observability in the presence of zero-injection bus, single PMU loss and PMU’s channel limits while maximizing the measurement redundancy. The solution that has the highest measurement redundancy was selected as the best placement of PMUs. The use of mutation strategy and V-shaped sigmoid function in this paper improves the population diversity, thereby minimizing the chance of the particles being trapped in the local optima, consequently leading to a quality solution. In order to validate its effectiveness, the results obtained by the proposed method are compared with other published techniques to demonstrate the accuracy and validity of the proposed technique. The results of the IEEE 300-bus system show that the proposed method effectively managed to reduce the number of PMUs needed.en_US
dc.format.extent3124 - 3133-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.rights© 2017 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.subjectbinary particle swarm optimizationen_US
dc.subjectPMUen_US
dc.subjectmutationen_US
dc.subjectsmart griden_US
dc.titleIntegrated mutation strategy with modified binary PSO algorithm for optimal PMU placementen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TII.2017.2708724-
dc.relation.isPartOfIEEE Transactions on Industrial Informatics-
pubs.issue6-
pubs.publication-statusPublished-
pubs.volume13-
dc.identifier.eissn1941-0050-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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