Work

AI-Driven Proportionate Power Sharing in Virtual Synchronous Generators for Optimizing the Source Conditions and Efficiency

Year: 2024

Type: conference-paper

Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI: 10.1109/iecon55916.2024.10905109

Authors: Uzair Asif, Silvanus D’Silva, Mohammad B. Shadmand, Sertac Bayhan, Haitham Abu-Rub

Institutions: University of Illinois Chicago, Hamad bin Khalifa University, Texas A&M University at Qatar

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funder: Qatar National Research Fund

OpenAlex ID: W4408281455

FWCI: 4.33

Cites: 18

Cited by: 6

Related to: 10