Current Trends in Power System Stability and Control

The integration of inverter-based resources (IBRs) into power systems is driving significant advancements in stability and control mechanisms. Recent research highlights a shift towards dynamic and distributed control strategies to manage frequency and stability constraints effectively. Dynamic dimensioning of frequency containment reserves is emerging as a promising approach to enhance grid security, reducing exceedance probabilities while maintaining overall reserve levels. Stability-constrained optimization is also gaining traction, with studies emphasizing the necessity of incorporating frequency nadir and small signal stability constraints into operational scheduling to ensure system resilience.

In the realm of fault analysis, robust solvers for phasor-domain short-circuit analysis are being developed to address the numerical challenges posed by IBRs, ensuring accurate representation and protection reliability. Additionally, distributed coordination algorithms for grid-forming and grid-following IBRs are being proposed to optimize frequency control, leveraging local measurements and communication to achieve system-wide stability.

On the modeling front, steady-state initialization techniques for advanced thermal power generation systems are being refined to support the design and control of next-generation, low-emission plants. Furthermore, black-box model identification methods for IBRs are advancing, enabling more comprehensive system analysis by bridging the gap between time-domain simulations and other analytical approaches.

Noteworthy Developments

• Dynamic Dimensioning of Frequency Containment Reserves: Demonstrates potential to significantly reduce exceedance probabilities while maintaining reserve levels.
• Distributed Coordination of Grid-Forming and Grid-Following IBRs: Proposes a fully distributed optimal frequency control algorithm that respects power limits and line constraints.
• Robust Solver for Phasor-Domain Short-Circuit Analysis: Enhances numerical stability and accuracy in representing IBRs in fault analysis.
• Steady-State Initialization Techniques: Successfully applied to advanced thermal power generation systems, supporting the design of low-emission plants.
• Black-Box Model Identification for IBRs: Introduces an approach using Hammerstein-Wiener models to improve system analysis capabilities.