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Decision support models for low-carbon electric power systems

A. Ramos J. García-González P. Rodilla C. Batlle

February 2016 - June 2016

Funding entity Massachusetts Institute of Technology (MIT)


This course will present power system analysis techniques that will help in modeling and understanding the role of electric power systems in a carbon-constrained economy. The massive deployment of intermittent renewable electricity generation, the anticipated surge of active demand response or the development of smart grids are among the challenges that have to be faced by the mathematical models for optimization, analysis and simulation of the complex decision making processes in power systems. Apart from a theoretical description of the presented models, the instructors will provide the students with a collection of prototypes that will allow them to run study cases and to understand the effect of the different mathematical formulations on the outcomes. Also the use of these models in some real-world applications will be presented.


MIT-Course_ESD.S23_2016