TY - JOUR
T1 - Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets
T2 - A Key Connective Fabric to Enable the Green Transition
AU - Gebbran, Daniel
AU - Barragan-Moreno, Alberto
AU - Gomez, Pere Izquierdo
AU - Subroto, Ramadhani Kurniawan
AU - Mardani, Mohammad Mehdi
AU - Lopez, Miguel
AU - Quiroz, Javiera
AU - Dragicevic, Tomislav
PY - 2023
Y1 - 2023
N2 - The increasing grid penetration of renewable energy generation, energy storage, and controllable electronic loads [e.g., electric vehicle (EV) chargers, motor drives, and electrolyzers) is making power electronic converters (PECs)—their controllable grid connection interfaces—omnipresent. Therefore, fleets of PECs are becoming key players not only in coordinating the generation and storage but also in unlocking the potential for flexibility within each load. In this article, we discuss how cloud-based platforms and edge devices can allow for interfacing PECs and advanced control algorithms. We present seven different study cases using our own developed cloud-based platform that demonstrate the smart coordination of PECs in a variety of prototypes and real-world solutions. Moreover, the capabilities of cloud and edge computing are highlighted throughout the article at large, effectively characterizing cloud-based control of fleets of PECs as an essential part of the future energy sector.
AB - The increasing grid penetration of renewable energy generation, energy storage, and controllable electronic loads [e.g., electric vehicle (EV) chargers, motor drives, and electrolyzers) is making power electronic converters (PECs)—their controllable grid connection interfaces—omnipresent. Therefore, fleets of PECs are becoming key players not only in coordinating the generation and storage but also in unlocking the potential for flexibility within each load. In this article, we discuss how cloud-based platforms and edge devices can allow for interfacing PECs and advanced control algorithms. We present seven different study cases using our own developed cloud-based platform that demonstrate the smart coordination of PECs in a variety of prototypes and real-world solutions. Moreover, the capabilities of cloud and edge computing are highlighted throughout the article at large, effectively characterizing cloud-based control of fleets of PECs as an essential part of the future energy sector.
U2 - 10.1109/MIE.2022.3211125
DO - 10.1109/MIE.2022.3211125
M3 - Journal article
SN - 1941-0115
VL - 17
SP - 6
EP - 19
JO - IEEE Industrial Electronics Magazine
JF - IEEE Industrial Electronics Magazine
IS - 2
ER -