Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm

Inthisarticle,anOppositionalDifferentialsearchalgorithm(ODSA)iscomprehensivelydeveloped andsuccessfullyappliedfortheoptimaldesignofpowersystemstabilizer(PSS)parameterswhich areaddedtotheexcitationsystemtodampenlowfrequencyoscillationasitpertainstolargepower system.Theeffectivenessoftheproposedmethodisexaminedandvalidatedonasinglemachine infinitebus(SMIB)usingtheHeffron-Phillipsmodel.Themostimportantadvantageoftheproposed methodisasitreachestowardtheoptimalsolutionwithouttheoptimaltuningofinputparameters oftheODSAalgorithm.Inordertoverifytheeffectiveness,thesimulationwasmadeforawide rangeofloadingconditions.ThesimulationresultsoftheproposedODSAarecomparedwiththose obtainedbyothertechniquesavailableintherecentliteraturetodemonstratethefeasibilityofthe proposedalgorithm. KEywORDS Damping Ratio, Differential Search Algorithm, Eigen-Value Analysis, Evolutionary Algorithm, Oppositional Based Learning, Power System Stabilizer, Single Machine Infinite Bus

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