Abstract:
Frequency is a useful parameter for ensuring the
proper functioning of the power system operation, control, and
protection. In this paper, a fast and accurate frequency estimator
is developed using a Zero-crossing and a Peak, occurring in the
buffered data instead of two Zero crossings, which is commonly
used to measure the frequency. Prior to this, the signal is preprocessed using the Sliding Goertzel Filter (SGF) that mitigates
the impact of undesirable features such as harmonics, noise,
etc. from the signal. The two frequency estimators, with and
without SGF, then work in parallel to form the hybrid estimator
and named as ZC Pk − HFE. The estimated frequency is
chosen based on the minimum error computed from the two
parallel estimators. The performance of the estimator is, then,
validated using the simulated signals polluted with harmonics,
noise, transients etc. Moreover, the evaluation results with the
IEEE-13 Active Distribution Network (ADN) incorporated with
Photovoltaic DG using and dSPACE1104 and Real Time Digital
Simulator (RTDS), show its capability to estimate real-time
frequency with satisfactory output.
