To main content

Black-boxing of Converter State-Space Models for Power System Eigenvalue Analysis

Abstract

State-space models are useful for a wide range of power system analyses relying on eigenvalue-based small-signal stability assessment. However, state-space models for detailed analysis of power converter dynamics are typically not provided to third-parties due to intellectual property (IP) concerns. This work illustrates how diagonalization of a state-space model will effectively obscure sensitive information about the system structure and parameters. Thus, diagonalization can be utilized as a safe method for providing black-boxed state-space models. The process is performed on an example system to clearly demonstrate that the information revealed in a diagonalized model is no more than what can be determined from system identification of a black-boxed time-domain model. A practical method of implementing this technique to provide linearized small-signal models across the full range of operating points in a compiled application is presented.
Read the publication

Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Energy Research / Energisystemer
  • Norwegian University of Science and Technology

Year

2024

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

2024 IEEE PES Innovative Smart Grid Technologies Europe Conference – ISGT Europe 2024

ISBN

9798350390421

View this publication at Norwegian Research Information Repository