Genetic algorithms applied to phasor estimation and frequency tracking in PMU development

Abstract: This paper presents an efficient intelligent tool applied to phasor measurements and frequency tracking of fundamental components for PMU application. The estimation task is modeled as an optimization problem in order to use genetic algorithms to search for optimal solutions. Very promising results are presented. This approach is compared to traditional methods considering the IEEE C37.118 standard and the results show that this intelligent tool offers better performance, especially during transient events, considering traditional methods. The proposed approach is implemented in hardware using FPGAs to take advantage of the intrinsic parallelism of genetic algorithms, making it applicable to real-time estimations. [Copyright &y& Elsevier]