Optimization in Energy Systems

This lecture delves into the topic of optimization in energy systems, focusing on the process of determining the state of a system by setting decision variables and solving equations. The instructor explains the importance of objective functions in making decisions, such as minimizing costs or reducing carbon dioxide emissions. Different types of objective functions and constraints are discussed, along with the challenges and methods of optimization. The lecture covers the black box method, simultaneous approach, and hybrid approach for solving optimization problems, highlighting their advantages and drawbacks. The importance of defining bounds, handling inequality constraints, and ensuring convergence in optimization processes is emphasized.