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Online Workshop: Modelling individual components and a whole energy system, which integrates a large share of variable renewables
April 9 – 13h00 – 17h00
Registration link: https://forms.gle/DMvCoMUJDretii268
Workshop day 2: Renewable Hybrid Power Plants
Tuesday, April 9, 2023, from 1PM to 5PM (UTC+4h) – corresponding to 11:00 a.m. to 3:00 p.m. CET
Connection link will be sent to registered participants
Speakers:
Kaushik Das, Associate Professor with the Department of Wind and Energy Systems, DTU
Kaushik received a PhD degree from DTU in 2016. His research interests include hybrid power and energy plants, power system balancing, and grid integration of renewables in power systems. He is a Member of IEA Wind, CIGRE, IEEE, and other professional bodies. He is also an operating agent for IEA Wind Task 50 on Hybrid Power Plants. He was the recipient of the prestigious AEG Elektronfonden’s Elektron Award in 2022.
Megha Gupta, Postdoc, Department of Wind and Energy Systems, DTU
Megha received a PhD degree in “Coordinated operation of TSO and DSO for efficient grid management” from Department of Electrical Engineering, IIT Delhi, India in 2022. Her research interests include hybrid power plant sizing and operations with Power-to-X; power system steady state analysis, optimization and energy markets. She is currently working on the research and development of an open-access tool ‘HyDesign’ at DTU Wind for the design and operation of utility-scale hybrid plants with P2X.
About the workshop
Focused on the massive integration of variable renewable energies, such as solar and wind, in electricity grids, the second part of the workshop is also based on lectures and exercises. Trainees will learn how to design and model Hybrid Power Plants (HPPs), which mix multiple technologies like wind, solar and energy storages. Applications of massive penetration of variable renewables energies on electricity grids will be tested with HyDesign, an online tool for design and control of utility scale wind-solar-storage based hybrid power plant (HPP) developed by DTU researchers. The exercises will be done online with collaborative Jupyter Notebooks, which requires basic knowledge on programming with Python and are accessible to beginners.