Overview

This talk examined the growing role of energy storage and power electronics in enabling a resilient, reliable, and economically viable electric grid amid rising renewable penetration and increasing demand from AI-driven data centers. The discussion focused on how distributed energy resources—such as solar, wind, and storage—are reshaping grid operations, particularly at the distribution level, and why advanced control, monitoring, and optimization strategies are essential for the energy transition.

 
Expert Insights & Key Takeaways

Energy storage is central to grid resiliency
High renewable penetration introduces variability, reduced capacity factors, and rapid ramping challenges (e.g., duck and canyon curves). Energy storage systems provide critical flexibility by shifting energy from low-demand to high-demand periods, stabilizing frequency, and reducing reliance on spinning reserves.

Battery storage dominates today, but hybrid systems are emerging
Lithium-ion batteries currently lead grid-scale deployment due to maturity and scalability, though challenges remain around degradation, cost, and safety. Hybrid systems combining batteries with hydrogen storage offer complementary benefits, including longer-duration storage and improved lifecycle economics.

Power electronics are reshaping grid control
The transition from rotating machines to inverter-based resources reduces system inertia, creating new stability challenges. Advanced inverter controls, solid-state transformers, and energy routers enable flexible voltage regulation, bidirectional power flow, and improved integration of distributed resources.

Safety and health monitoring are critical
As storage deployment grows, ensuring safe operation becomes essential. Power-electronics-based balancing, battery management systems, and data-driven prognostics help mitigate risks, extend asset life, and improve reliability without relying solely on conservative operating limits.

Data-driven optimization unlocks economic value
By leveraging real-time market prices (e.g., ERCOT price signals), energy storage can be charged during low-price periods and discharged during peak-price hours. Optimized dispatch strategies can significantly improve return on investment while limiting excessive cycling that accelerates battery degradation.

Digital twins and predictive analytics enhance resiliency
Machine learning–based health monitoring and remaining useful life estimation allow operators to proactively manage storage and power conversion assets, improving system availability and reducing unplanned outages.

Future Outlook

As renewable generation, electrification, and AI-driven demand continue to grow, energy storage paired with advanced power electronics and intelligent control will become indispensable to grid resilience and economic performance. Continued research in hybrid storage systems, solid-state transformers, and data-driven optimization will enable more flexible, stable, and profitable grid operation—supporting a sustainable and resilient energy future.

Guest Speaker

Harish Krishnamoorthy

Associate Professor

Department of Electrical and Computer Engineering

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