An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers
Pan Zhang(Anhui University), Murodbek Safaraliev(Ural Federal University), Marcos Tostado‐Véliz(Universidad de Jaén), Yahya Z. Alharthi(University of Hafr Al-Batin), Ahmad Rezaee Jordehi(Islamic Azad University Rasht Branch), Seyed Amir Mansouri(Northumbria University)
Cited by 85
Related Papers
An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster
|Applied Energy|2023|175
An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks
|Energy Reports|2021|147
An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination
|Applied Energy|2023|143
A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
|Renewable Energy|2021|116
Circle Search Algorithm: A Geometry-Based Metaheuristic Optimization Algorithm
|Mathematics|2022|111