Low Rank Compression of Trajectory Sensitivities for Efficient Dynamic Security Assessment

Low Rank Compression of Trajectory Sensitivities for Efficient Dynamic Security Assessment

연구 분야: Analysis

학회: 2024 IEEE Power & Energy Society General Meeting (PESGM)

Trajectory sensitivity (TS) is a powerful approach to aid in dynamic security assessment (DSA). However, its practical usage has been limited so far due to concerns associated with its scalability. This paper addresses one of the issues related to the storage and utilization of TS data. We provide a systematic methodology based on singular value decomposition (SVD) to store TS data and perform calculations using it to estimate post fault perturbed system trajectories. The obtained results are compared with corresponding non-linear dynamic simulation results. The proposed approach is tested and validated on the IEEE 39-bus and the WECC 179-bus system consisting of detailed generator, exciter, and governor models. For one of our case studies involving the WECC 179-bus system, the size of TS dataset reduces from 719 MB to 11 MB, yet the method accurately predicts the perturbed trajectories. The approach seems to have promising scalability potential to make TS analysis widespread for operation and planning of large-scale systems.