Adv Topics Energy Syst Opt

Catalog description

The main objective of this course is to introduce various optimization problems and solution approaches for optimal planning, operation, and control of energy systems. Specifically, in this course, fundamental theory and knowledge of mathematical optimization models will be provided, and students will learn how to formulate and solve the optimization problems relating to energy systems, such as unit commitment, economic dispatch, power flow, power procurement, energy storage operation, demand response, etc. From the theoretical point of view, this study focuses on stochastic optimization techniques, e.g., two-stage stochastic programming, risk-averse stochastic programming, and chance-constrained programming, that are currently increasing in popularity while being applied to a wide range of optimization problems in modern energy systems that require making decisions in presence of uncertain data, e.g., renewable generations. This course will also be designed as a research-oriented course that allows students to engage in research work by providing an opportunity to formulate and solve a variety of practical problems using optimization software. Because in general, solving energy systems optimization problems are computationally very challenging, the implementation of decomposition and sampling algorithms and performing computational experiments using programming language will also be covered. Prerequisites: Either SSIE 553: Operations Research or SSIE 514X: Linear Programming for Engineers or permission from the instructor. Also, programming skills, e.g., Python, C/C++, Java, etc. are highly recommended. Term offered varies.