Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition

Daniel Gebbran, Alberto Barragan-Moreno, Pere Izquierdo Gomez, Ramadhani Kurniawan Subroto, Mohammad Mehdi Mardani, Miguel Lopez, Javiera Quiroz, Tomislav Dragicevic

Research output: Contribution to journalJournal articleResearchpeer-review

268 Downloads (Orbit)

Abstract

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.
Original languageEnglish
JournalIEEE Industrial Electronics Magazine
Volume17
Issue number2
Pages (from-to)6-19
Number of pages14
ISSN1941-0115
DOIs
Publication statusPublished - 2023

Fingerprint

Dive into the research topics of 'Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition'. Together they form a unique fingerprint.

Cite this