Space Vector Taylor–Fourier Models for Synchrophasor, Frequency, and ROCOF Measurements in Three-Phase Systems



Castello, Paolo, Ferrero, R ORCID: 0000-0001-7820-9021, Pegoraro, Paolo Attilio and Toscani, Sergio
(2019) Space Vector Taylor–Fourier Models for Synchrophasor, Frequency, and ROCOF Measurements in Three-Phase Systems. IEEE Transactions on Instrumentation and Measurement, 68 (5). 1313 - 1321.

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Abstract

Taylor-Fourier (TF) filters represent a powerful tool to design phasor measurement unit (PMU) algorithms able to estimate synchrophasor, frequency, and rate of change of frequency (ROCOF). The resulting techniques are based on dynamic representations of the synchrophasor, and hence, they are particularly suitable to track the evolution of its parameters during time-varying conditions. Electrical quantities in power systems are typically three-phase and weakly unbalanced, but most PMU measurement techniques are developed by considering them as a set of three single-phase signals; on the contrary, this peculiarity can be favorably exploited to improve accuracy and reduce the computational cost. In this respect, this paper proposes to directly perform the TF expansion of the space vector (SV) samples obtained from three-phase measurements. A new paradigm allows to independently estimate positive and negative sequence synchrophasors along with system frequency and ROCOF, leveraging the three-phase characteristics. The performance of the proposed technique is assessed by using test signals inspired by the standard IEEE C37.118.1-2011, including noise as well as magnitude and phase unbalance. Achieved results highlight the flexibility of the enhanced SV-based approach, which is capable to combine excellent dynamic performance together with an accurate estimation of both positive and negative sequence components.

Item Type: Article
Uncontrolled Keywords: Phasor measurement units, Frequency estimation, Estimation, Heuristic algorithms, Power system dynamics, Discrete Fourier transforms
Depositing User: Symplectic Admin
Date Deposited: 11 Mar 2019 08:39
Last Modified: 10 Dec 2021 19:10
DOI: 10.1109/TIM.2019.2905747
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3033984