Computational modeling tools for promoting low-carbon electricity

Friday, January 28, 2022 at 9:00am to 1:00pm

E51-376

Monday, January 24-Friday, January 28, 9:00 am - 1:00 pm ET each day (5 classes)
Location: E51-376
Register by January 19. Email Pablo Duenas (pduenas@mit.edu) and Karen Tapia-Ahumada (katapia@mit.edu)
More information

This 5-session intensive activity presents 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 energy sources (RES), the anticipated surge of active demand response or the development of smart grids are among the challenges that must 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 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. The use of these models in some real-world applications will also be presented.
 
Part I: Economic dispatch
      1. Economic dispatch and unit commitment with RES
      2. Stochastic unit commitment with RES
Part II: Operation planning
      3. Mid-term hydro-thermal coordination
      4. Deterministic and stochastic model
Part III: Microgrids
      5. Microgrid design
      6. Resiliency through multi-microgrid 
Part IV: Generation expansion planning 
      7. Generation expansion planning
      8. GenX model
Part V: Transmission expansion planning 
      9. Transmission expansion planning
    10. openTEPES model
 
Prerequisites: None (some GAMS/Python familiarity is helpful)
Limited enrollment: 30 participants

 

Event Type

Conferences/Seminars/Lectures

Events By Interest

IAP (Independent Activities Period)

Events By Audience

Public, MIT Community, Students, Alumni, Faculty, Staff

Events By School

School of Architecture and Planning (SA+P), School of Engineering (SoE), School of Humanities, Arts, and Social Sciences (SHASS), Sloan School of Management (Sloan), School of Science, Schwarzman College of Computing

Website

http://stellar.mit.edu/S/project/mite...

Department
MIT Energy Initiative
Contact Email

pduenas@mit.edu; katapia@mit.edu

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