6.S082/6.247 Principles of Modeling, Simulations and Control for Electric Energy Systems

SHARE:

Undergraduate (AUS) meets with Graduate Level 6.247
Prerequisites:  6.S082 - 6.011, 6.002; 6.247 - 6.002
Units:  4-0-8
Instructors:  Dr. Marija Ilic, Senior Research Scientist, ilic@mit.edu,
Prof. David Perreault (djperrea@mit.edu)
Schedule:  Lectures TR9:30-11, room 2-190, Recitation F9:30-11, room 36-153
 
Description
The graduate version counts as a subject in the Control Concentration.
This course offers modeling principles of modern electric power systems starting from a brief review of their structure and their physical components. In particular, a novel unified modeling in energy/power dynamical space  is  introduced  to  conceptualize dynamics of interactions of complex multi-physicals components. No specialized knowledge of physical components is required.  This modeling sets a basis for  analysis, computation, sensing, control, power electronics, optimization and market design concepts.
The course  prepares students for working on applying many novel methods and technologies, ranging from computer methods,  power electronics control,  for designing and operating more reliable, secure, and efficient electric energy systems. Students interested in both applied physics and signals and systems should consider taking this subject. Once the fundamentals of today's power systems are understood, it becomes possible to consider the role of smart electric power grids and power electronics-control  in enabling evolution of future electric energy systems. Integration of intermittent energy resources into the existing grid by deploying distributed sensors and actuators at the key locations throughout the system (network, energy sources, consumers) and changes in today's Supervisory Control and Data Acquisition (SCADA) for better performance become well-posed problems of modeling, sensing and controlling complex dynamic systems. This opens opportunities to many innovations toward advanced sensing and actuation for enabling better physical performance. Modeling, sensing and control fundamentals for possible next generation SCADA in support of highly distributed operations and design are introduced. Most of the concepts will be illustrated using homegrown Scalable Electric Power System Simulator (SEPSS).