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

Francesco Bonavolontà, Luigi Pio Di Noia, Davide Lauria, Annalisa Liccardo and Salvatore Tessitore
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Francesco Bonavolontà: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
Luigi Pio Di Noia: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
Davide Lauria: Department of Industrial Engineering, University of Naples Federico II, 80125 Napoli, Italy
Annalisa Liccardo: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy
Salvatore Tessitore: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy

Energies, 2019, vol. 12, issue 15, 1-22

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.

Keywords: damping estimation; Hilbert transform; oscillations reshaping; nonlinear least square approximation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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