Power System Stability and Control

The field of power system stability and control is moving towards more decentralized and data-driven approaches. Researchers are exploring new methods for small-signal stability analysis, such as implicit multilinear models and decentralized small gain and phase stability conditions. These approaches aim to improve the scalability and applicability of stability certification in power grids with increasing shares of converter-based resources. Noteworthy papers include:

  • Small-Signal Stability Analysis of Power Systems by Implicit Multilinear Models, which proposes a new approach to perform small-signal stability analysis based on linearization of implicit multilinear models.
  • Decentralized Small Gain and Phase Stability Conditions for Grid-Forming Converters: Limitations and Extensions, which revisits and extends mixed gain phase conditions to improve the applicability of decentralized stability certification.

Sources

Small-Signal Stability Analysis of Power Systems by Implicit Multilinear Models

Data-driven Communication and Control Design for Distributed Frequency Regulation with Black-box Inverters

On MIMO Stability Analysis Methods Applied to Inverter-Based Resources Connected to Power Systems

Interlacing in Controllers Implementation: Frequency Analysis

Decentralized Small Gain and Phase Stability Conditions for Grid-Forming Converters: Limitations and Extensions

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