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Center for Nonlinear Studies |
Energy storage is one of humanity's greatest technological challenges. As society's size and energy appetite grow, we must seek solutions that facilitate penetration of renewable energy and enhance efficiency, particularly in the transportation and power system infrastructures. This seminar focuses on modeling, estimation, and control challenges in the demand-side management of flexible loads in the smart grid. Aggregations of large-scale distributions of flexible loads can be elegantly modeled by partial differential equations (PDEs). This modeling framework enables one to perform analysis, estimation, and control design using recently developed techniques in PDE control theory. We explore this framework for managing populations of thermostatically controlled loads (TCLs), electric water heaters (EWHs), and plug-in electric vehicles (PEVs).
Host: Misha Chertkov 5-5684