An effective method for power system frequency estimation

Frequency is one of the most important quantities in power system operation because it can reflect the dynamic energy balance situation between load and generating power. Therefore, an effective method for frequency estimation is an important task in the operation of power systems. The proposed method combines a prototype algorithm with other algorithms like FIR window filter and discrete Fourier transform (DFT). The prototype algorithm is developed for frequency estimation in the absence of harmonics and noise. FIR window filter enhances the resistance of the prototype algorithm to the noise, and discrete Fourier transform boosts the immunity of the prototype algorithm to harmonics. To demonstrate the effectiveness of the proposed method, we provides the computational results of field measurement data with comparison to DFT based algorithm.