19-638 Smart Grids and Future Electric Energy Systems
12 units, Carnegie Mellon University
The course offers an advanced presentation of modern electric power systems, starting from a brief review of their structure and their physical components, through modeling, analysis, computation, sensing and control concepts. Great care is taken to avoid presenting practical techniques built on dubious theoretical foundations and also to avoid building elaborate mathematical models whose physical validity and relevance may be questionable. Mastering both principles and relevant models is important for those who wish to seriously understand how todays electric power grids work and their challenging technical issues. This prepares students for working on applying many novel information processing concepts 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 todays power systems are understood, it becomes possible to consider the role of smart electric power grids 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 todays Supervisory Control and Data Acquisition SCADA for better performance become wellposed 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 presented. Prior knowledge in 18418 or 18771 is highly recommended.
Prerequisites: 18-418 or 18-771
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