Guest Editorial
Methodologies and applications of digital twin for renewable-dominant power systems
Haoran Zhao (Shandong University)
Peng Wang (Shandong University)
Peter Palensky (TU Delft - Electrical Sustainable Energy)
Shaahin Filizadeh (University of Manitoba)
Yongqian Liu (North China Electric Power University)
Ying Chen (Tsinghua University)
Jiebei Zhu (Tianjin University)
Peng Li (Tianjin University)
Aleksandra Lekić (TU Delft - Intelligent Electrical Power Grids)
Vladimir Terzija (Newcastle University)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This editorial introduces the Special Issue “Methodologies and Applications of Digital Twin for Renewable-Dominant Power Systems”, which highlights key research addressing the challenges associated with integrating renewable energy sources into power systems. Digital twins provide an advanced framework for modeling, simulation, and optimization of these complex systems, driven by the need to address the impact of power electronics and multi-source energies. The contributions featured in this issue focus on the application of DT technologies in renewable-dominant systems, offering solutions for enhancing system stability, optimization, and operational efficiency.
help_outline