[HTML][HTML] A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine …
The integration of renewable energy sources (RES) into smart grids has been considered
crucial for advancing towards a sustainable and resilient energy infrastructure. Their …
crucial for advancing towards a sustainable and resilient energy infrastructure. Their …
Enabling high-efficiency economic dispatch of hybrid AC/DC networked microgrids: Steady-state convex bi-directional converter models
The use of bi-directional converters (BDCs) is crucial for enhancing power exchange in
hybrid AC/DC networked microgrids (NMGs). However, the dynamic nature of their …
hybrid AC/DC networked microgrids (NMGs). However, the dynamic nature of their …
[HTML][HTML] Technology for Green Hydrogen Production: Desk Analysis
B Łosiewicz - Energies, 2024 - mdpi.com
The use of green hydrogen as a high-energy fuel of the future may be an opportunity to
balance the unstable energy system, which still relies on renewable energy sources. This …
balance the unstable energy system, which still relies on renewable energy sources. This …
Two-Stage Coordinated Operation of A Green Multi-Energy Ship Microgrid With Underwater Radiated Noise by Distributed Stochastic Approach
Increasing multi-energy coordination in the ship necessitates advanced operation strategies
to achieve greenhouse gas reduction and energy efficiency improvement in the maritime …
to achieve greenhouse gas reduction and energy efficiency improvement in the maritime …
Spatial–temporal resilience assessment of distribution systems under typhoon coupled with rainstorm events
This article proposes a novel spatial–temporal resilience assessment scheme for the
distribution system (DS) to address the issue of overoptimistic and potentially misleading …
distribution system (DS) to address the issue of overoptimistic and potentially misleading …
Computationally efficient data synthesis for AC-OPF: Integrating Physics-Informed Neural Network solvers and active learning
This study addresses the challenges of privacy, utility, and efficiency in releasing privacy-
preserving operational data for AC Optimal Power Flow (AC-OPF) research. Traditional …
preserving operational data for AC Optimal Power Flow (AC-OPF) research. Traditional …
Supply Resilience Constrained Scheduling of MEGs for Distribution System Restoration: A Stochastic Model and FW-PH Algorithm
Mobile emergency generators (MEGs) are critical resources for distribution system
restoration after disaster-induced outages. However, insufficient fuel storage can cause …
restoration after disaster-induced outages. However, insufficient fuel storage can cause …
Toward value-oriented renewable energy forecasting: An iterative learning approach
Energy forecasting is an essential task in power system operations. Operators usually issue
forecasts and use them to schedule energy dispatch in advance. However, forecasting …
forecasts and use them to schedule energy dispatch in advance. However, forecasting …
[HTML][HTML] Evaluating Renewable Energy Sites in the Green Hydrogen Supply Chain with Integrated Multi-Criteria Decision Analysis
K Ransikarbum, H Zadek, J Janmontree - Energies, 2024 - mdpi.com
Green hydrogen can be generated through electrolysis using electricity from renewable
sources, such as wind and solar, to split water into hydrogen. This study evaluates the green …
sources, such as wind and solar, to split water into hydrogen. This study evaluates the green …
Highly-efficient single-level robust transmission expansion planning approach applicable to large-scale renewable energy integration
Robust transmission expansion planning (RTEP) approaches are crucial for addressing the
uncertainty associated with renewable energy sources (RESs). However, existing methods …
uncertainty associated with renewable energy sources (RESs). However, existing methods …