Renewable Energy Sources and Distributed Generation

Dear Colleagues,

As the environmental impacts of fossil fuels have become more apparent over time, the need for sustainable energy provision will become increasingly critical on a worldwide scale over the next years. Distributed electricity generation based on renewable energy technologies (solar, wind, hydro, etc.,) is becoming a more important energy option in future generation systems. In addition to the advantages of clean energy sources and limitless capacity, distributed generation and renewable energy sources still have certain drawbacks, such as high costs, unpredictability (highly reliant on weather conditions), a threat to the stability and reliability of the power system, etc. Therefore, research and industry are collaborating to overcome technical and socio-economic difficulties in support of a future with decarbonized power to further enhance the capabilities of renewable energy and the benefits it provides to communities.

This Special Issue aims to present and disseminate the most recent advances related to renewable energy sources and distributed generation.

Topics of interest for publication include, but are not limited to:

1) System Studies

• Renewable energy systems and sources (RESSs) as wind energy, solar energy, wave energy, tidal energy, hydrogen and fuel cells;
• Energy storage system for RESSs;
• Integrated renewable energy system;
• RESSs for electrical vehicles and components;
• Microgrid/Smart grids and RESSs;
• Energy management system, VPP (Virtual Power Plant) for RESSs.

2) Modeling, Analysis, and Control

• Modeling and simulation techniques for renewable energy systems (RESs);
• Control techniques for RESs;
• Performance analysis of RESs.

3) Grid Integration and Optimal Operation

• Grid integration studies for RESs and distributed generation;
• Decision support systems for RESSs;
• Reliability and maintenance in RESSs;
• Artificial intelligence and machine learning studies for RESs and applications;
• Digital twin for RESSs;
• Output power forecasting for RESs.

Dr. Minh-Chau Dinh
Prof. Dr. Hae-Jin Sung
Guest Editors

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