Abstract

This paper presents a comprehensive approach for performing phasor and frequency estimation from voltage and/or current signals of the modern power system. Undesirable components, such as decaying DC, if present in the input signal, are first attenuated using a complex-gain filter. The initial estimates of phasor and frequency are obtained next using the discrete Fourier transform and an improved estimation of signal parameters via rotational invariance technique, respectively. Finally, the accuracy of phasor and frequency estimates are increased based on the identified system condition. Simulations performed to evaluate the proposed approach confirm that it can do fast and accurate estimation of phasor and frequency under diverse operating conditions, making it ideal for wide-area monitoring, protection, and control applications in power systems.

Highlights

  • Introduction and BackgroundPhasor and Frequency EstimationOptimal energy management in smart grids requires an enhanced visualization of its system parameters, e.g., voltage/current phasors and frequency

  • Accurate, and robust phasor and frequency estimates under diverse operating conditions. It detects abnormal system conditions quickly. It satisfies the requirements of relevant IEEE and IEC Standards [29,30]

  • In the following sub-sections, several static and dynamic test signals that comply with the IEEE and IEC Standards [29,30], as well as power system signals, are used to investigate the performance of the proposed approach

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Summary

Introduction and Background

Optimal energy management in smart grids requires an enhanced visualization of its system parameters, e.g., voltage/current phasors and frequency. Performance evaluation of the proposed approach using different test signals indicates that it makes the following salient contributions: 2 It efficiently suppresses undesirable components present in the input signal, and can be applied to both voltage and current signals. It provides fast, accurate, and robust phasor and frequency estimates under diverse operating conditions (faults, frequency ramps, power swings, harmonics). Accurate, and robust phasor and frequency estimates under diverse operating conditions (faults, frequency ramps, power swings, harmonics) It detects abnormal system conditions quickly (in less than one-cycle). It satisfies the requirements of relevant IEEE and IEC Standards (this paper focuses on P-class PMUs which have more stringent speed requirements) [29,30]

Proposed Filter for DDC Rejection
Phasor Estimation at Off-Nominal Frequencies
Proposed Frequency Estimation Algorithm
Ak f e
Fast Detection of System Operating Conditions
Accuracy Enhancement of Estimated Phasor and Frequency under
Choosing Optimal Value for the Filter Order R
Choosing Optimal Value for N
Choosing Optimal Value for M
Choosing Optimal Value for L
Simulation Results
Performance Evaluation for Dynamic Frequency Ramp Test
Modulation Test
Step Change Test
Performance Evaluation Using Power System Signals
Computational Burden and Sensitivity Analysis
Noise Propagation through the Proposed Algorithm
Conclusions

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