AC and DC Power Grids System Technologies: Analysis, Control and Practical Applications, 2nd Edition

In recent years, AC and DC power grids and renewable energy issues in many countries have necessitated increases in the proportion of renewable energy capacity in power systems and a reduction in the dependence on thermal power generation following the rise of environmental awareness. However, the rapid increase in the penetration of intermittent renewable energy and various power generation combinations will impact the existing power systems; it is essential to consider the latest advanced technologies with artificial intelligence for AC and DC power grids and renewable energy systems to realize the energy transition. To overcome the challenges mentioned above and allow renewable energy to integrate safely into the power systems, the proposed issue needs state-of-the-art research in AI-related technologies for power systems and must be considered to enhance the safe operation of the system and increase the flexibility of AC and DC power grids.

Dear Colleagues,

This issue deals with new technologies for artificial intelligence and advanced technologies for power systems and renewable energy systems, including state-of-the-art research in AC and DC power grids, renewable energy technologies, artificial intelligence, high-power DC/DC converters, power electronics converters, fault detection and diagnostics, intelligent power systems and grids, power and energy systems, AI-based methods, sensor-based control, battery energy storage system, vehicle-to-grid, and grid-to-vehicle. These studies are established to improve the strength of power and renewable systems.

In this issue, we sincerely invite the submission of original research results regarding artificial intelligence and advanced power and renewable energy systems technologies. Potential topics of interest for publication include but are not limited to the following:

• AC and DC Power Grids;
• High Power DC/DC Converters;
• Multi-terminal HVDC Converter Control and Protection;
• DC Technology at Medium and Low Voltage;
• Strategies for AC and DC Fault Ride-Through;
• Other Converter Topologies;
• Smart Grids;
• Renewable Energy Technologies;
• Photovoltaic and Wind Energy Technologies;
• Fault Detection and Diagnostics;
• AI-based Methods;
• Sensor-based Control;
• Big Data and Machine Learning;
• Intelligent Control and Applications;
• Battery Energy Storage System;
• Power Electronics and Motor Control Technology for Vehicles;
• Energy Saving Technology for Building and Air Conditioning;
• Other Related Technologies and Applications.

This is the 2nd Edition. All publications in the 1st Edition can be found here: https://www.mdpi.com/journal/processes/special_issues/58TNG74Y73

Prof. Dr. Chang-Hua Lin
Dr. Shiue-Der Lu
Dr. Hwa-Dong Liu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

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• AC and DC power grids
• power converter
• HVDC
• energy management systems
• energy storage technologies
• smart grid and microgrid
• machine learning
• sustainable electrical energy systems
• renewable energy technologies
• energy storage system
• vehicle-to-grid
• grid-to-vehicle
• energy saving