Data gaps and degraded space-time resolution for modal decomposition: A compensator approach

•Compensation of data gaps and degraded resolution of wide-area measurements.•The multi-component modeling of virtually-designed data records.•The derivation of the empirical coherence to the area classification. High-resolution empirical mapping methods of dynamic oscillation responses for large po...

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Bibliographic Details
Published in:Electric power systems research 2021-10, Vol.199, p.107384, Article 107384
Main Authors: Esquivel, P., Reyes, E.N., Ornelas-Tellez, F., Garza, L., Castañeda, Carlos E.
Format: Article
Language:English
Subjects:
Clustering
Compensators
Condition monitoring
Data gaps
Decomposition
Degradation
Empirical coherence
High resolution
Interpolation
Modal decomposition
Monitoring systems
Oscillation modes
Remote sensing
Splitting
Studies
Viewing
Waveforms
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Summary:•Compensation of data gaps and degraded resolution of wide-area measurements.•The multi-component modeling of virtually-designed data records.•The derivation of the empirical coherence to the area classification. High-resolution empirical mapping methods of dynamic oscillation responses for large power systems have recently been considered to treat the data gaps and its space-time compensation. Although virtually-designed data of signals are not a real condition for monitoring systems, these can be implemented to study objectively the moving features and dominant paths of inter-area oscillation modes. This paper demonstrates the application of the space-time interpolation of wide-area measurements to compensate data gaps and degraded space-time resolution for modal decomposition. Contributions of empirical mode coherence for splitting and clustering data in density factors are also presented to the classification area. The method involves the space-time high-resolution interpolation of empirical mode components for splitting closely-related oscillation modes at intrinsic timescales, preserving their multivariate waveform features. Therefore, high-resolution empirical viewing maps of remotely-sensed dynamic responses, with degraded space-time resolutions, are derived to study the observance and dominant paths of wide-area oscillation modes. The proposed approach is numerically applied to the IEEE 16-generator 68-bus test system for efficiently defining empirical viewing maps of inter-area oscillation modes.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2021.107384