Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms

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dc.contributor.authorCuk Supriyadi, A. N.
dc.contributor.authorNgamroo, I.
dc.contributor.authorKunakorn, A.
dc.contributor.authorDechanupaprittha, S.
dc.contributor.authorWatanabe, M.
dc.contributor.authorMitani, Y.
dc.contributor.authorHashiguchi, T.
dc.contributor.authorGoda, T.
dc.date.accessioned2026-08-06T09:57:44Z
dc.date.available2026-08-06T09:57:44Z
dc.date.issued2008-12-01
dc.description.abstractThis paper proposes a design of robust power system stabilizer (RPSS) based on inverse additive perturbation optimization in an interconnected power system with wind farms. In the design, system uncertainties are represented by the inverse additive model. The robust stability condition is used to form the optimization problem of PSS parameters. The structure of PSS is a conventional second-order lead-lag controller. The genetic algorithm is applied to solve the problem and achieve the PSS parameters. Simulation studies in the two-area four-machine system with wind farms confirm that the damping effect and robustness of the proposed PSS are superior to those of the compared PSS. © 2008 SICE.
dc.identifier.citationProceedings of the SICE Annual Conference, 237-240, 2008
dc.identifier.doi10.1109/SICE.2008.4654658
dc.identifier.other2-s2.0-56749184895
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/2334
dc.sourceProceedings of the SICE Annual Conference
dc.subjectGenetic algorithm
dc.subjectInverse additive perturbation
dc.subjectPower system stabilizer
dc.subjectRobust control
dc.titleInverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms
dc.typeConference Paper

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