Adaptive Model Reduction For Parareal In Time Method For Transient Stability Simulations

Keywords

Adaptive model reduction; Parareal in time; Power system dynamics; Power system stability; Real time simulation

Abstract

Real time or faster than real time simulation can enable system operators to foresee the effect of crucial contingencies on the power system dynamics and take timely actions to prevent system instability. Parareal in time method uses concurrent computations on different segments of the time domain of interest to speed up the dynamic simulations. This paper describes the application of an adaptive nonlinear model reduction method in improving computational speed of the Parareal solver. The proposed method adaptively switches between a hybrid system with selective linearization and a completely linear system based on the size of a disturbance. The functions in the hybrid system are linearized based on the electrical distance between specific generators and the area where disturbances originated. The proposed method is tested on the 327-machine 2383-bus Polish system.

Publication Date

12-21-2018

Publication Title

IEEE Power and Energy Society General Meeting

Volume

2018-August

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/PESGM.2018.8585841

Socpus ID

85060775086 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85060775086

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