his paperpresents an application of elitistnon-dominated sorting genetic algorithm(NSGA-II)for solvingamulti-objectivereactive power market clearing (MO-RPMC) model. In this MO-RPMC model,twoobjective functions such as total payment function (TPF) for reactive power support fromgenerators/synchronous condensersandvoltage stability enhancement index (VSEI) are optimizedsimultaneously while satisfying various system equality and inequality constraints in competitive electricitymarketswhich forms a complex mixed integer nonlinearoptimization problem with binary variables. TheproposedNSGA-II basedMO-RPMC model istestedon standard IEEE 24 bus reliability test system. Theresults obtained in NSGA-II basedMO-RPMC model are also compared with the results obtained in realcoded genetic algorithm (RCGA) based single-objective RPMC models
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