Estimation of Wideband Multi-Component Phasors Considering Signal Damping

Area of Science:

• Electrical Engineering
• Power Systems Analysis
• Signal Processing

Background:

• Increasing harmonic and interharmonic content in power systems due to renewable energy and power electronics degrades power quality and system stability.
• Accurate monitoring of signal features like frequency, damping factor, amplitude, and phase is crucial for mitigating adverse effects.
• Existing methods struggle with the complexity of multi-component signals, especially those with damping.

Purpose of the Study:

• To develop a robust and accurate method for identifying the number of signal modes.
• To estimate the frequency and damping factor of signal components.
• To extract wideband multi-component phasors with high precision.

Main Methods:

• Utilized singular values of the Hankel matrix to develop a concise index for identifying the number of signal modes.
• Employed simplified matrix pencil theory for estimating signal component frequency and damping factor.
• Integrated estimates into a modified least-squares algorithm for accurate wideband multi-component phasor extraction.

Main Results:

• The proposed method accurately identifies the number of modes in power system signals.
• Signal component frequencies and damping factors are precisely estimated.
• The algorithm achieves a maximum total vector error of less than 1.5%, outperforming existing phasor estimators.

Conclusions:

• The developed method provides a robust and accurate solution for monitoring complex power system signals.
• The algorithm's high accuracy stems from considering both mode number estimation and signal damping effects.
• This approach enhances power quality monitoring and contributes to improved system stability.