Karen Tapia-Ahumada, Research Scientist
|Jan/16||Tue||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/17||Wed||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/18||Thu||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/19||Fri||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/22||Mon||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/23||Tue||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/24||Wed||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/25||Thu||09:00AM-03:00PM||E51-376, Bring your laptop.|
|Jan/26||Fri||09:00AM-03:00PM||E51-376, Bring your laptop.|
Enrollment: Limited: Advance sign-up required
Sign-up by 01/09
Limited to 30 participants
Attendance: Participants must attend all sessions
Also available for credit as IDS.S31.
This 9-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 renewables, 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 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: Models for the short term
1. Introduction to power systems.
2. Optimal power flow in electricity networks & nodal pricing.
3. Unit commitment of generation plants with RES
Part II: Models for the medium term
4. Mid-term hydro-thermal coordination
5. Modeling the behavior of participants: equilibrium models.
Part III: Stochastic short and mid-term models
6. Stochastic unit commitment of generation plants
7. Mid-term stochastic hydro-thermal coordination
Part IV: Models for the long term
8. Generation expansion planning.
9. Expansion of electricity transmission networks
Sponsor(s): Engineering Systems Division, MIT Energy Initiative
Contact: Karen Tapia-Ahumada, firstname.lastname@example.org