Wide-area SMES controller design using least-squares support vector machines

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dc.contributor.authorPahasa, Jonglak
dc.contributor.authorNgamroo, Issarachai
dc.date.accessioned2026-08-06T10:01:06Z
dc.date.available2026-08-06T10:01:06Z
dc.date.issued2010-12-01
dc.description.abstractThis paper presents an adaptive wide-area damping controller of superconducting magnetic energy storage (SMES) using the least squares support vector machine (LS-SVM). The LS-SVM for SMES controllers are trained using wide-area control signal obtained from synchronized phasor measurements considering time delay. The LS-SVM control signals can be adapted by various operating conditions and different disturbances. Simulation results in a two-area four-machine power system demonstrate that the proposed LS-SVM for SMES controller is robust to various disturbances under wide range of operating conditions in comparison to the conventional SMES.
dc.identifier.citationProceedings of the 4th IASTED Asian Conference on Power and Energy Systems Asiapes 2010, 431-436, 2010
dc.identifier.doi10.2316/P.2010.701-160
dc.identifier.other2-s2.0-79955967757
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3300
dc.sourceProceedings of the 4th IASTED Asian Conference on Power and Energy Systems Asiapes 2010
dc.subjectLeast squares support vector machine
dc.subjectPhasor measurement unit
dc.subjectSuperconducting magnetic energy storage
dc.subjectWide-area stability control
dc.titleWide-area SMES controller design using least-squares support vector machines
dc.typeConference Paper

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