Presented by: Prof. Amro M. Farid, Associate Professor of Engineering at the Thayer School of Engineering at Dartmouth, Dakota Thompson, LIINES Ph.D Candidate in Systems Engineering, and Wester C.H. Schoonenberg, Doctoral Research Assistant in the Laboratory for Intelligent Integrated Networks of Engineering Systems (LIINES), at the Thayer School of Engineering at Dartmouth.
Modern life has grown to be extremely dependent on electric power. As the world’s services increasingly electrify, the resilience of the electric power grid is more important than ever. Current methods of studying electric power grid resilience generally fall in one of two categories: (1) N-1 type contingency analysis, and (2) network science methods based upon graph connectedness. The latter use “lightweight” graph models while the former is particularly computationally intensive. Though these methods provide valuable complementary insights, there is a new need for analytical tools that balance analytical insight with computational complexity.
This webinar discusses a set of new resilience measures based upon the application of hetero-functional graph theory to electric power systems. These measures are of particular relevant to the grid’s architectural transformation as it comes to accommodate distributed generation at the grid periphery. Furthermore, the webinar will discuss some of the key differences between existing resilience measures and the newly introduced measures.
INTENDED AUDIENCE: Grid Planners, Utility Investment Decision Makers, and Reliability Engineers
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