Newtonian Mechanics Based Transient Stability PART VI: Machine Transformation
Songyan Wang, Jilai Yu, Aoife Foley, Jingrui Zhang

TL;DR
This paper analyzes machine transformations in transient stability analysis, showing that trajectory correction enables valid transformation from individual to equivalent machines, while energy correction is physically meaningless.
Contribution
It introduces two types of machine transformations based on energy and trajectory corrections, clarifying their validity and limitations in transient stability analysis.
Findings
Trajectory correction enables valid machine transformation.
Energy correction is mathematically valid but physically meaningless.
Simulation confirms trajectory correction as the feasible approach.
Abstract
This paper focuses on the transformations from the individual machine to the equivalent machine through the "correction" perspective of the inner-group machine. The machines are first classified as the real machine with equation of motion and the pseudo machine without equation of motion. Then, it is clarified that both individual machine and equivalent machine are real machines, while the superimposed machine is a pseudo machine. Based on the classifications of the machines, two types of machine transformations are provided. The two types of machine transformations are based on the "energy correction" and "trajectory correction" of the inner-group machine, respectively. For the energy correction case, it is clarified that the trajectory transformation completely fails, while the energy transformation mathematically holds yet it is physically meaningless. For the trajectory correction…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPower System Optimization and Stability · Model Reduction and Neural Networks · Hydraulic and Pneumatic Systems
