Resilience of smart integrated energy systems Babazadeh, Davood; Teimourzadeh Baboli, Payam; Mayer, Christoph; Brand, Michael; Becker, Christian; Lehnhoff, Sebastian In: Fathi, M., Zio, E., Pardalos, P.M. (eds): Handbook of Smart Energy Systems. Springer, Cham, 1887-1913 (2023)
Education and Training Needs, Methods, and Tools Kotsampopoulos, P.; Jensen, Tue V.; Babazadeh, Davood; Strasser, Thomas I.; Rikos, E.; Nguyen, V. H.; Tran, Q. T.; Bhandia, R.; Guillo-Sansano, E.; Heussen, Kai; Narayan, Anand; Nguyen, T. L.; Burt, G. M.; Hatziargyriou, N. In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Publisher DOI
Experiences with System-Level Validation Approach Baboli, Payam Teimourzadeh; Babazadeh, Davood; Siagkas, D.; Manikas, S.; Anastasakis, K.; Merino, Julia In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Publisher DOI
Test Procedure and Description for System Testing Heussen, Kai; Babazadeh, Davood; Degefa, Merkebu Z.; Taxt, H.; Merino, Julia; Nguyen, V. H.; Baboli, Payam Teimourzadeh; Moghim Khavari, A.; Rikos, E.; Pellegrino, L.; Tran, Q. T.; Jensen, Tue V.; Kotsampopoulos, P.; Strasser, Thomas I. In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020) Publisher DOI
Erigrid holistic test description for validating cyber-physical energy systems Heussen, Kai; Steinbrink, Cornelius; Abdulhadi, Ibrahim F.; Van Hoa, Nguyen; Degefa, Merkebu Z.; Merino, Julia; Jensen, Tue V.; Guo, Hao; Gehrke, Oliver; Bondy, Daniel Esteban Morales; Babazadeh, Davood; Andrén, Filip Pröstl; Strasser, Thomas I. Energies 14 (12): 2722 (2019) Publisher DOI
Co-simulation set-up for testing controller interactions in distribution networks Velasquez, Jorge; Castro, Felipe; Babazadeh, Davood; Lehnhoff, Sebastian; Kumm, Thomas; Heuberger, Daniel; Treydel, Riccardo; Lüken, Tim; Garske, Steffen; Hofmann, Lutz Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES 2018)
Optimization problems are ubiquitous in most scientific fields and engineering. The easiest such problems are linear and already have numerous applications. They are special cases of convex optimization problems, which are often efficiently solvable with many software implementations available. Many optimization problems are non-convex and are often hard to solve.
This seminar aims to provide a basic understanding of general principles of `easy' optimization problems (convex optimization). We will see selected examples for the theoretical analysis of standard algorithms for these problems. Then, we will also see example classes of non-convex optimization problems and heuristic ways to solve them. Throughout, there are opportunities to do numerical experiments with standard optimization packages as well as to look into examples for important applications.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Registered participants in Stud.IP: 4
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