The ROCOF-DFT: A Discrete Fourier Transform Kernel Adaptation for ROCOF Tracking

IEEE International Workshop on Applied Measurements for Power Systems (AMPS), pp. 1–6

Abstract

With the increasing penetration of renewable resources in modern power systems, the estimation of the Rate of Change of Frequency (ROCOF) has become a critical but challenging task. Conventional methods, such as the Interpolated Discrete Fourier Transform (IpDFT), assume stationary frequency components and often yield inconsistent results under distorted or transient conditions. This paper introduces a novel modification to the classical DFT formulation by incorporating a ROCOF parameter, effectively breaking the stationary frequency assumption. The proposed ROCOF-DFT method not only enhances the dynamic tracking of frequency changes but also mitigates the adverse effects of ROCOF on phasor estimation accuracy. The method was tested using signals conforming to IEC/IEEE 60255-118-1, adapted to emphasize the method’s characteristics, and compared against the classical IpDFT approach, delivering promising results. Other tests applied in the current paper demonstrate the method’s capacity to clearly distinguish between simultaneous interfering signals of differing frequencies and ROCOF values, as well as its behavior under ROCOF step tests.

Authors 4

1. César Cazal Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Automation of Complex Power Systems,Aachen,Germany

2. Guglielmo Frigo

   Swiss Federal Institute of Metrology

   Affiliation as printed

   Federal Institute of Metrology,Electrical Energy and Power Lab,Bern-Wabern,Switzerland

3. Ferdinanda Ponci Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Automation of Complex Power Systems,Aachen,Germany

4. Antonello Monti Aachen Institute for Automation of Complex Power Systems

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Fraunhofer FIT,Institute for Automation of Complex Power Systems,Aachen,Germany