Return
A Loewner Interpolation Method for Power System Identification and Order Reduction
DOI:10.1109/TPWRS.2018.2884655.png)
Abstract
En 中文
An accurate framework for power system identification and model order reduction based on the Loewner matrix method is proposed. In this approach, frequency responses corresponding to non-symmetrical non-square MIMO transfer functions are introduced as tangential data in theLoewner interpolation process. Such responses can be either computed efficiently when explicit large sparse models are available or measured when only black-box models are at disposal. Numerical results are discussed for a couple of well-reported multi-machine test systems. The accuracy of the produced models and comparison against other state-of-the-art techniques are then discussed.
Keywords:
Frequency response
Loewner matrix
power systems electromechanical models
power systems model order reduction
system identification
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W

