Characterization of Qualified Grid Nodes for the Identification of Power Network Oscillations

Rapid incorporation of renewable energy sources and power electronic components in the conventional power network has resulted in increased sub-synchronous oscillations (SSOs) in the power network. As a consequence, accurate and exhaustive monitoring of SSOs is pertinent for reliable system operation. This has necessitated the requirement of a revised notion of power system stability and control. In this regard, this paper presents a benchmark analysis in disturbance study by appropriately identifying the most qualified buses that should be co-analyzed to capture the disturbances present in the power network. Our analysis shows that the proposed approach is computationally much faster and offers a significantly reduced number of buses required for disturbance identification over the state-of-the-art, without compromising on the system disturbance identification ability. The theoretical results are validated using the PMU data generated through RSCAD simulation, with 100% identification of critical oscillation frequencies.