Abstract
In the future, phasor measurement units are expected to be applied in distribution networks (DNs) for their control and monitoring. Because of the widely used power electronic devices in DNs, harmonics are widely present in a voltage/current signal. Particularly, second harmonics have the most significant uncertainty contributions to synchrophasor estimation, which is especially true when a short cycle observation window is used for a fast response. Based on the interpolated dynamic discrete Fourier transform (IpD 2 FT), this paper introduces an enhanced IpD 2 FT (e-IpD 2 FT) synchrophasor estimator that considers second harmonic interferences. First, the adaptive equivalent filters of the IpD 2 FT are given. Based on these, the optimal frequencies where the IpD 2 FT has the least second harmonic interferences are then searched using an enumeration method, and the e-IpD 2 FT synchrophasor estimator is accordingly proposed. Instantaneous frequency responses and several simulation tests show that the e-IpD 2 FT performs much better than the IpD 2 FT in second harmonic suppression, and can meet the P-class response time requirements and most of the M-class accuracy requirements of the IEEE standard C37.118.1 only over a three-cycle window.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
4 articles.
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1. Comparative Study of Phasor and Frequency Estimation Algorithms for
Distribution Networks;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2022-08
2. Enhanced IpD2FT-based Synchrophasor Estimation through Narrowband Interferers Compensation;2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2022-05-16
3. M Class Synchrophasor Compliance for Real-time Monitoring of Smart Power Systems;Journal of The Institution of Engineers (India): Series B;2021-05-16
4. Accurate and fast synchrophasor estimator for distribution networks;Measurement Science and Technology;2019-09-18