A fast and efficient method for frequency deviation measurement based on genetic algorithms using a FPGA approach

The main objective of this research is to present a fast and efficient method based on Genetic Algorithms (GAs) for measuring the frequency deviation as well as the voltage magnitude and phase angle of a noisy sinusoid wave. The situation was formulated as an optimization problem, and the goal was to minimize the estimation error. The use of GAs has the advantage of better immunity against noise disturbance present in the input data. In addition, this work also investigates the implementation of such a scheme in FPGA (Field-Programmable Gate Array). It is expected that the new approach is able to accurately estimate the frequency, voltage magnitude and phase angle, simulating an on-line frequency relay. The initial performance suggests that the proposed methodology provides an efficient alternative for frequency relays with some advantages if compared to the traditional approach.