Eke, I.Taplamacioglu, M. C.Lee, Kwang Y.2020-06-252020-06-252015closedAccess2405-8963https://doi.org/10.1016/j.ifacol.2015.12.369https://hdl.handle.net/20.500.12587/62579th IFAC Symposium on Control of Power and Energy Systems (CPES 2015) -- DEC 09-11, 2015 -- New Delhi, INDIAEKE, ibrahim/0000-0003-4792-238XThis study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned by using the ABC algorithm to achieve an acceptable overshoot and settling time at all load points within a wide region of operation. The objective function allows the selection of the stabilizer parameters to minimize the overshoot and settling time at all load conditions. For robust PSS performance, a wide range of operating conditions is considered for search space. The designed PSS is applied to a single-machine infinite-bus system operating at different loading conditions and the results demonstrated that the developed technique is very effective.eninfo:eu-repo/semantics/closedAccessOrthogonal LearningArtificial Bee ColonyPerformance IndicesPower System StabilizerRobust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee ColonyConference Object483014915410.1016/j.ifacol.2015.12.3692-s2.0-84964296205Q3WOS:000375855300026N/A