Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind...

Area of Science:

• Electrical Engineering
• Power Systems Analysis
• Signal Processing

Background:

• Increasing renewable energy and power electronics lead to more frequent synchronous oscillations (SO) in power grids.
• Sub/Super synchronous oscillations (Sub/Sup-SO) pose challenges for accurate parameter identification due to their simultaneous occurrence.

Purpose of the Study:

• To develop a novel method for accurate parameter identification of Sub/Sup-SO components.
• To address the challenges posed by simultaneous and closely spaced Sub/Sup-SO events.

Main Methods:

• Utilized the Rife-Vincent window and discrete Fourier transform (DFT) simultaneously.
• Integrated a tri-spectral interpolation algorithm with the Rife-Vincent window to mitigate spectral leakage and fence effect.
• Employed phasor measurement unit (PMU) data for parameter identification (damping ratio, frequency, amplitude, phase).

Main Results:

• The proposed algorithm accurately identifies parameters of multiple Sub/Sup-SO components, including closely spaced ones.
• Demonstrated high identification accuracy under complex conditions like parameter variations, non-nominal frequency, and noise.
• Outperformed existing methods in identification accuracy, bandwidth, and adaptability based on synthetic and real data.

Conclusions:

• The novel method effectively identifies Sub/Sup-SO parameters, enhancing power grid stability analysis.
• The integration of Rife-Vincent window and tri-spectral interpolation offers robust performance against signal complexities.
• This approach provides a significant advancement for monitoring and mitigating oscillation issues in modern power systems.