Distributed Monitoring of Power System Oscillations Using Multiblock Principal Component Analysis and Higher-order Singular Value Decomposition

The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study spatiotemporal patterns interactions between areas or subsystems. In this paper, a novel conceptual framework for power system oscillations using multi-block principal component (MB-PCA) higher-order singular value decomposition (HOSVD) proposed understand, characterize, visualize global behavior system. can be used evaluate influence given area utility on oscillatory behavior, uncover low-dimensional structures from high-dimensional data, analyze effects heterogeneous data modal characteristics interpretation metrics are then investigated examine relationships dynamic participation individual blocks Practical Application these techniques demonstrated by case studies two systems: 14-machine test 5449-bus 635-generator equivalent model large