This course aims to provide an introduction to applied mathematical constructs such as convex optimization, game theory and dynamic programming in the context of the modern power grid. With the recent proliferation of flexible power components that are able to communicate and intelligently actuate, scalable computational methods and effective modelling techniques that capture underlying interactions and dependencies are imperative for optimally coordinating today's electric grid. Students will be equipped with the ability to identify and apply various mathematical tools introduced in the course for power grid applications and also understand the associated advantages and tradeoffs.
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