The field of power systems is moving towards a more integrated and resilient approach, incorporating dynamic modeling and multi-criteria decision-making to evaluate the feasibility of green hydrogen production and other Power-to-X technologies. Researchers are developing novel frameworks that co-optimize long-term data center and power system development, accounting for both operational and embodied emissions. The increasing integration of renewable energy sources and distributed energy resources is also driving the development of advanced control strategies, such as forecast-integrated optimal power flow-based adaptive control frameworks, to ensure stable and robust operation of hybrid AC-HVDC systems. Furthermore, the concept of generalized competitive equilibrium is being explored to capture price-demand interactions across interconnected infrastructures, including power, transportation, and datacenter networks. Noteworthy papers include:

• Green Hydrogen under Uncertainty, which presents a novel modeling framework for evaluating green hydrogen production strategies.
• Stochastic Long-Term Joint Decarbonization Planning for Power Systems and Data Centers, which proposes a dynamic joint planning framework for co-optimizing data center and power system development.
• An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty, which develops a forecast-integrated optimal power flow-based adaptive control framework for ensuring stable operation of hybrid AC-HVDC systems.