Mathmatical Modeling for expansion and dispatch planning in modern energy systems
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of WS 2016/7 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions
EI7468 is a semester module in German language at Master’s level which is offered in winter semester.
This module description is valid from WS 2015/6 to SS 2021.
Content, Learning Outcome and Preconditions
Nonlinear Optimization ((Un-)Constrained Optimization, Lagrange function), Lagrangian Duality (primal and dual problem, strong and weak duality), Graph theory, Mixed-Integer optimization (Fundamentals, Solution algorithms), Application of theory to typical problems of energy system analysis
Modul EI7448 Modeling of energy systems
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|Mathematical Modeling for expansion and dispatch planning in modern energy systems
|Breuning, L. Hamacher, T.
Learning and Teaching Methods
A Textbook of Graph Theory; R. Balakrishnan, K. Ranganathan; 2012; http://dx.doi.org/10.1007/978-1-4614-4529-6
Integer Programming; M. Conforti, G. Cornuéjols, G. Zambelli; 2014; http://dx.doi.org/10.1007/978-3-319-11008-0