Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply
Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024
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)
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
Electromagnetic Compatibility (EMC) Engineering dealswith design, simulation, measurement, and certification of electronic andelectric components and systems in such a way that their operation is safe,reliable, and efficient in any possible application. Safety is herebyunderstood as safe with respect to parasitic effects of electromagnetic fieldson humans as well as on the operation of other components and systems nearby.Examples for components and systems range from the wiring in aircraft and shipsto high-speed interconnects in server systems and wirless interfaces for brainimplants. In this part of the course we will give an introduction to thephysical basics of EMC engineering and then show how methods of MachineLearning (ML) can be applied to expand todays physcis-based approaches in EMCEngineering.
Performance accreditation:
m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul>
ECTS credit points:
1
Stud.IP informationen about this course:
Home institute: Institut für Theoretische Elektrotechnik (E-18)
Registered participants in Stud.IP: 2