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Center for Nonlinear Studies |
Current power infrastructure faces major challenges related to uncertainty, security, and environmental impact. While new technologies with cyber capabilities are installed throughout the grid, effective ways for processing the resultant big data deluge are now demanded. Advances in large-scale algorithms, low-rank and sparse modeling, and online optimization, are definitely pertinent. Aligned to that end, this talk presents contemporary data-driven methods for enhancing our grids. As an energy management example, we will first demonstrate how online distribution-free schemes coupled with recent convex relaxations can be effective for reactive power control and voltage regulation in microgrids with renewables. Studying the potential of revealing the topology of the underlying physical grid by simply processing real-time energy market data is the second theme of this talk.
Host: Misha Chertkov