Overview
In this webinar, MathWorks will demonstrate modeling and simulation of larger-scale electrical grids which are driven by time-series data profiles. The choice of suitable model fidelity and solver options to achieve time-efficient simulation will be highlighted. Also, Parallel Computing Toolbox will be used to simulate multiple scenarios. Furthermore, attendees will be given insight on relevant aspects for EV charging hubs (grid impact, grid autonomy, energy storage, renewable energy…).
Highlights
- Select suitable model fidelity and solver options for time-efficient simulation.
- Give insight on EV charging stations electrical design & operation
- Build automatically electrical power networks from network description data.
- Integrate time-series data of EV charging profiles into the simulation environment.
- Evaluate multiple operational scenarios using multiple cores.
- Analyze data from multiple simulations using statistical methods.
About the Presenters
Graham Dudgeon
Principal Product Manager – Electrical Technology
Graham Dudgeon is principal product manager for electrical technology at MathWorks. Over the last two decades Graham has supported several industries in the electrical technology area, including aerospace, marine, automotive, industrial automation, medical devices, and power and utilities, with an emphasis on system modeling and simulation, control design, real-time simulation, machine learning, and data analytics. Prior to joining MathWorks, Graham was Senior Research Fellow at the Rolls-Royce University Technology Centre in Electrical Power Systems at the University of Strathclyde in Scotland, UK.
Juan Sagarduy
Principal Application Engineer
Juan Sagarduy is a principal application engineer with focus on physical multidomain modeling and simulation. In his role, Juan provides technical expertise for successful adoption of plant modeling tools (Simscape™ platform) for model-based development. Furthermore, he leads several Electrification initiatives for the Nordic region. Before joining MathWorks in 2011, Juan worked at the ABB Corporate Research Centre (Västerås, Sweden) in electrical machines and motion control projects. Juan holds an M.S. degree in industrial engineering (Bilbao, Spain) and a Ph.D. in electrical engineering from Cardiff University (UK).
