The field of power grid control and stability is moving towards innovative solutions to address the challenges posed by the increasing penetration of renewable energy resources and the integration of data centers into the grid. Researchers are exploring new control strategies, such as data-driven approaches and predictive control, to improve the stability and reliability of the grid. Notably, the development of transformerless power-flow controllers and the use of disturbance observers to enhance the performance of modular multilevel converters are significant advancements in this area. Furthermore, the analysis of transient stability in grid-forming converters under asymmetrical grid faults is providing valuable insights into the behavior of these systems. Overall, the field is witnessing a shift towards more robust, efficient, and adaptive control systems that can handle the complexities of modern power grids. Noteworthy papers include: The paper on Data Center Control Against Sub-Synchronous Resonance presents a data-driven approach to evaluating SSR risks and enables a cooperative mechanism to alarm and avoid resonance-prone situations. The paper on Entirely Transformerless Universal Direct-Injection Power-Flow Controller introduces a compact and cost-effective solution for power management and stability problems in low-voltage power grids.