Abstract
This paper focuses on the refinement of standard Hilbert Huang transform (HHT) technique to accurately characterize time varying, multi components inter area oscillations. Several improved masking techniques for Empirical Mode Decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model is used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods results in superior frequency and temporal resolution than other approaches for analyzing complicated non-stationary oscillations.
Original language | English |
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DOIs | |
Publication status | Published - 2 Oct 2009 |
Event | IEEE Power & Energy Society General Meeting - Calgary, Canada Duration: 26 Jul 2009 → 30 Jul 2009 |
Conference
Conference | IEEE Power & Energy Society General Meeting |
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Country/Territory | Canada |
City | Calgary |
Period | 26/07/09 → 30/07/09 |
Bibliographical note
The full text is currently unavailable on the repository.Keywords
- Monitoring
- Power system simulation
- Power system modeling
- Educational institutions
- Power system analysis computing
- Frequency
- power system measurement
- Hilbert transforms
- oscillations
- complicated nonstationary oscillations
- Hilbert-Huang transform
- inter-area oscillation monitoring
- empirical mode decomposition
- power system model
- temporal resolution