Courses

OCM-Lab teaches several classes in the Electrical Engineering Department.

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IEE2393: Smart Grids for Sustainable Energy (Prof. Negrete)

IEE3363: Applied Power Systems Optimization and Control (Prof. Lorca)

IEE2123: Electric Circuits (Prof. Olivares)

ICS2123: Stochastic Models (Prof. Lorca)

IEE2123: Electric Circuits (Prof. Olivares)

IEE3323: Economic Operation of Power Systems (Prof. Negrete)

IEE2393: Smart Grids for Sustainable Energy (Prof. Negrete)

IEE2213: Electric Machines (Prof. Olivares)

IEE3363: Applied Power Systems Optimization and Control (Prof. Olivares)

IEE2213: Electric Machines (Prof. Olivares)

IEE2613: Automatic Control (Prof. Negrete)

IEE3323: Economical Operation of Electric Systems (Prof. Negrete)

IEE3363: Applied Power Systems Optimization and Control (Prof. Negrete & Prof. Olivares)

IEE2613: Automatic Control (Prof. Negrete)

IEE2213: Electric Machines (Prof. Olivares)

IEE3303: Advanced Topics on Power Engineering (Prof. Negrete & Prof. Olivares)

UNDERGRADUATE COURSES

IEE2393 SMART GRIDS FOR SUSTAINABLE ENERGY

This undergraduate course provides a solid overview of power and energy systems basics including electrical machines, power systems and electricity markets. This background is used to present latest developments on smart grids including communications architecture, distributed energy resources, demand response and new market mechanisms. The course is self contained requiring only an undergraduate class in optimization as requisite.

GRADUATE COURSES

We are currently offering 3 graduate courses that introduce students to some of the issues of interest for our group, and provide advanced control and optimization tools for their analysis. These courses are not taught every semester, so check the online course searcher for availability.

 IEE3303 ADVANCED TOPICS ON POWER SYSTEMS

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IEE3323 ECONOMIC OPERATION OF POWER SYSTEMS

This course introduces several optimization models associated with the economic operation of power systems. The topics covered include: Motivation, Non-Linear Optimization, Economic Dispatch, Unit Commitment, Hydrothermal Coordination, Optimal Power Flow and some of the underlying theory of Electricity Markets. In addition, advanced topics such as flexibility on the demand side, uncertainty considerations and basics elements of dynamic electricity markets are presented. Grading is based on homeworks, 2 tests and final project which represent the main component of the final grade.

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Final Presentations Course 2014

IEE3363 APPLIED POWER SYSTEMS OPTIMIZATION AND CONTROL

This course presents some of the main control and optimization techniques applied to contemporary problems in power and energy systems. The topics covered in the course include: Motivation, Linear and Nonlinear Optimization Applied to Power Systems, Decomposition Techniques for Large-scale Optimization Problems, Optimization Under Uncertainty, Advanced Formulations and Applications.

DW