Demand, and generally resource, flexibility is one of the untapped resources for dealing with the uncertainty introduced to the electricity grid due to renewable sources. In this talk, we consider a multitude of models and algorithms that demonstrate the value of resource flexibility to the grid and how the market design can shape the optimal algorithms and the desirability of its results. We use techniques and concepts from control theory, algorithm design and mathematical optimization to to approach these problems and demonstrate their key role in building robust and resilient power systems and markets. This multi-disciplinary talk is meant particularly for researchers with computer science background who are interested in exploring problems in energy systems and markets or electrical engineers interested in gaining insights into techniques from other disciplines that can answer challenging questions in their field.
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