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An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems

Author

Listed:
  • Francesco Bonavolontà

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
    These authors contributed equally to this work.)

  • Luigi Pio Di Noia

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
    These authors contributed equally to this work.)

  • Davide Lauria

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Napoli, Italy
    These authors contributed equally to this work.)

  • Annalisa Liccardo

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
    These authors contributed equally to this work.)

  • Salvatore Tessitore

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
    These authors contributed equally to this work.)

Abstract

The paper deals with a novel method to measure inter-area oscillations, i.e., electromechanical oscillations involving groups of generators geographically distant from one another and ranging within the frequency interval from 0.1 Hz up to 1 Hz. The estimation of the parameters characterizing inter-area oscillations is a crucial objective in order to take the necessary actions to avoid the instability of the transmission electrical system. The proposed approach is a signal-based method, which uses samples of electrical signals acquired by the phasor measurement unit (PMU) and processes them to extract the individual oscillations and, for each of them, determine their characteristic parameters such as frequency and damping. The method is based on Hilbert transformations, but it is optimized through further algorithms aiming at (i) improving the ability to separate different oscillatory components, even at frequencies very close to each other, (ii) enhancing the accuracy associated with the damping estimates of each oscillation, and (iii) increasing the robustness to the noise affecting the acquired signal. Results obtained in the presence of signals involving the composition of two oscillations, whose damping and frequency have been varied, are presented. Tests were conducted with signals either synthesized in simulated experiment or generated and acquired with actual laboratory instrumentation.

Suggested Citation

  • Francesco Bonavolontà & Luigi Pio Di Noia & Davide Lauria & Annalisa Liccardo & Salvatore Tessitore, 2019. "An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems," Energies, MDPI, vol. 12(15), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2935-:d:253181
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    References listed on IDEAS

    as
    1. Jian Zuo & Yinhong Li & Dongyuan Shi & Xianzhong Duan, 2017. "Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachin," Energies, MDPI, vol. 10(4), pages 1-23, April.
    2. Yan Zhao & Zhimin Li & Yonghui Nie, 2016. "A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform," Energies, MDPI, vol. 9(3), pages 1-18, March.
    3. Guowei Cai & Deyou Yang & Cheng Liu, 2013. "Adaptive Wide-Area Damping Control Scheme for Smart Grids with Consideration of Signal Time Delay," Energies, MDPI, vol. 6(9), pages 1-18, September.
    4. Ping He & Seyed Ali Arefifar & Congshan Li & Fushuan Wen & Yuqi Ji & Yukun Tao, 2019. "Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller," Energies, MDPI, vol. 12(2), pages 1-16, January.
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