pre205 - Advanced Topics in Renewable Energy

pre205 - Advanced Topics in Renewable Energy

Institute of Physics 6 KP
Module components Semester courses Summer semester 2025 Examination
Lecture
  • Unlimited access 2.01.5112 - Digitalised Energy System Modeling and Control Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Malin Radtke, M. Sc.
    • Jörg Bremer

    Tuesday: 14:00 - 16:00, weekly (from 08/04/25), Location: V04 0-033
    Wednesday: 10:00 - 12:00, weekly (from 09/04/25), Location: A04 2-221

  • Unlimited access 2.01.5120 - Digitalised Energy System Co-Simulation Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer

    Monday: 12:00 - 14:00, weekly (from 07/04/25), Location: A14 1-113
    Friday: 10:00 - 12:00, weekly (from 11/04/25), Location: A01 0-004

  • Unlimited access 2.01.515 - Intelligent Energy Systems Show lecturers
    • Dr.-Ing. Eric Veith
    • Jörg Bremer

    Thursday: 14:00 - 16:00, weekly (from 10/04/25)
    Thursday: 16:00 - 18:00, weekly (from 10/04/25)

    Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).

Seminar
  • Unlimited access 2.01.5112 - Digitalised Energy System Modeling and Control Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Malin Radtke, M. Sc.
    • Jörg Bremer

    Tuesday: 14:00 - 16:00, weekly (from 08/04/25), Location: V04 0-033
    Wednesday: 10:00 - 12:00, weekly (from 09/04/25), Location: A04 2-221

  • Unlimited access 2.01.5120 - Digitalised Energy System Co-Simulation Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer

    Monday: 12:00 - 14:00, weekly (from 07/04/25), Location: A14 1-113
    Friday: 10:00 - 12:00, weekly (from 11/04/25), Location: A01 0-004

  • Unlimited access 2.01.515 - Intelligent Energy Systems Show lecturers
    • Dr.-Ing. Eric Veith
    • Jörg Bremer

    Thursday: 14:00 - 16:00, weekly (from 10/04/25)
    Thursday: 16:00 - 18:00, weekly (from 10/04/25)

    Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).

  • Unlimited access 2.12.042 - Ecological Economics Show lecturers
    • Prof. Dr. Bernd Siebenhüner
    • Dr. Hendrik Wolter

    Monday: 10:00 - 14:00, fortnightly (from 07/04/25)

Exercises
  • Unlimited access 2.01.5112 - Digitalised Energy System Modeling and Control Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Malin Radtke, M. Sc.
    • Jörg Bremer

    Tuesday: 14:00 - 16:00, weekly (from 08/04/25), Location: V04 0-033
    Wednesday: 10:00 - 12:00, weekly (from 09/04/25), Location: A04 2-221

  • Unlimited access 2.01.5120 - Digitalised Energy System Co-Simulation Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer

    Monday: 12:00 - 14:00, weekly (from 07/04/25), Location: A14 1-113
    Friday: 10:00 - 12:00, weekly (from 11/04/25), Location: A01 0-004

  • Unlimited access 2.01.515 - Intelligent Energy Systems Show lecturers
    • Dr.-Ing. Eric Veith
    • Jörg Bremer

    Thursday: 14:00 - 16:00, weekly (from 10/04/25)
    Thursday: 16:00 - 18:00, weekly (from 10/04/25)

    Modern power grids face a multitude of challenges: A high share of renewables means a more sophisticated management of real power demand and supply, ancillary services are provided in an ever more decentralized manner, and power grids must become resilient instead of just being robust. Agent systems have established themselves as methodology for a decentralized and resilient operation of modern power grids. Especially learning agents based on Deep Reinforcement Learnings can react to unforseen events and find good strategies even in complex situations. In this lecture, we will introduce an approach for flexibility modelling as a way to provide an agent's view of the world, and will extensively concern ourselves with the application of Deep Reinforcement Learning in power grids, including approaches to explainability and learning from domain knowledge (offline learning).

Notes on the module
Module examination
2 exams, depending on the selected courses.
Skills to be acquired in this module

After completing the module students will be able to:

  • describe basic knowledge in two of a wide field of disciplines (technical, scientific, social, political, transferrable, language) as required for the implementation of renewable energy
  • critically discuss basic principles of the implementation of renewable energy
  • justify their personal decision on educational fields for their career development

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