SYSTEMS AND METHODS FOR LOW RANK COMPRESSION OF TRAJECTORY SENSITIVITIES FOR EFFICIENT DYNAMIC SECURITY ASSESSMENT
개요
출원인
Amarsagar Reddy Ramapuram Matavalam; Arnav Bagga
발명자
Amarsagar Reddy Ramapuram Matavalam; Arnav Bagga
IPC 분류
CPC 분류
A systematic methodology is presented 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 as well as the WECC 179 bus system consisting of detailed generator, exciter, and governor models. In support, the size of data associated with TS analysis to effectively aid in DSA is reduced by up to a factor of 65, with error<0.01%. The scalability potential of the approach presented is promising to make TS analysis widespread for operation and planning of large-scale systems.
원문 (중국어)
A systematic methodology is presented 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 as well as the WECC 179 bus system consisting of detailed generator, exciter, and governor models. In support, the size of data associated with TS analysis to effectively aid in DSA is reduced by up to a factor of 65, with error<0.01%. The scalability potential of the approach presented is promising to make TS analysis widespread for operation and planning of large-scale systems.