SMart AGgregation of flexible actIve-front-end grid-Connected power electronic converters

Project Details

Description

https://dff.dk/en/apply/supported-research/research-leaders/research-leaders-2021/researchleader-35?set_language=en

Layman's description

Electrical power is somewhat like the air we breathe: We don't really think about it until it is missing. However, we will need to come up with radical innovations to keep it that way as the green transition takes its full swing. Namely, we will need to substantially increase the flexibility of the power grid to be able to host a vast volume of variable renewable energy sources like wind and solar, and hundreds of thousands new plug-in EVs that will hit the Danish roads over the coming decade. MAGIC project is based on a notion that many of the electrical loads that exist in the grid, such as motor drives, EV chargers and electrolyzers, are naturally flexible in their energy consumption, and that this cost-free flexibility can be unlocked by connecting them to the grid via smart active-front-end (AFE) power electronic converters. Namely, each of these AFEs collects substantial amount of data (grid and load measurements, internal AFE states), which hides valuable information about the grid stability conditions, available load flexibility and AFE’s health. Project proposes a wide variety of machine learning based methods that are able to uncover this information in computationally efficient way, and to use it for achieving scalable diagnostics and grid-supporting control of millions AFE-loads and more, thereby enabling them to serve as the solid bedrocks of the green transition to 100% renewable-energy-based power grids.
AcronymMAGIC
StatusActive
Effective start/end date01/12/202201/12/2025

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