This course is designed to introduce various linear and nonlinear program based optimization algorithms that are specially suited for the design, analysis and operation of electric power systems, power processing devices, machines and transformers.
Various technical areas within power engineering routinely use large scale optimization techniques. These areas include generation expansion planning, bulk power supply systems, hydro-thermal scheduling, power converter design optimization and transformer design. Optimization and computational techniques and algorithms to be discussed in this course will give the student the necessary tools to analyze the design problems listed above.
This course requires a thorough understanding of principles of power system analysis including generation planning, production costing, reliability and stability analysis. This material is covered in EE 5324.
Percentage of Course
|Power system models||15%|
|Power processing device models||15%|
|Electric machine models||10%|
|Linear programming applications||15%|
|Quadratic programming applications||10%|
|Generalized reduced gradient applications||10%|
|Single and multivariable constrained method applications||10%|