Asada, Eduardo N.Garcia, Ariovaldo V.Romero, R. [UNESP]2014-05-272014-05-272005-10-312005 IEEE Power Engineering Society General Meeting, v. 1, p. 571-577.http://hdl.handle.net/11449/68458This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods. ©2005 IEEE.571-577engData reductionErrorsHeuristic methodsIdentification (control systems)Strategic planningTopologyData errorsMeta heuristicsPower systemTopology errorsElectric power systemsIdentifying multiple interacting bad data in power system state estimationTrabalho apresentado em evento10.1109/PES.2005.1489754Acesso aberto2-s2.0-27144505813