Power System Stabilization
2 researchers across 1 institution
Research in power system stabilization focuses on ensuring the reliable and efficient operation of electrical grids. Investigations explore advanced control strategies, including those leveraging artificial intelligence and machine learning, to manage grid disturbances and maintain voltage and frequency stability. This work involves developing and testing new algorithms for real-time monitoring, fault detection, and rapid response to maintain grid integrity under varying load conditions and the integration of diverse energy sources. Studies also examine the impact of renewable energy sources on grid dynamics and the development of robust control mechanisms to mitigate their inherent variability.
This research is directly relevant to Arkansas's economic landscape, which relies heavily on a stable and dependable power supply for its diverse industries, including manufacturing, agriculture, and technology. As Arkansas continues to expand its renewable energy portfolio, particularly in wind energy, understanding and enhancing power system stabilization becomes critical for economic growth and energy security. Furthermore, resilient power infrastructure is essential for public safety and the continuity of critical services across the state.
This area draws upon expertise in artificial intelligence, semiconductor materials, and network security. Collaboration extends across multiple institutions, fostering a broad engagement with related fields and contributing to the state's capacity in critical infrastructure research.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Roy McCann | University of Arkansas | 14 | 888 | Grant PI | |
| Sarah S. Jagessar | University of Arkansas | 1 | 11 |