AI-Driven Innovations for Enhancing Power System Stability and Operational Efficiency

Dear Colleagues,

The rapid transformation of traditional power grids towards high levels of Inverter-Based Resource (IBR) penetration and dynamic distribution networks with the presence of smart loads and Electric Vehicles has forced system operators to investigate advanced operation optimization and planning techniques to maintain reliable and efficient operation.

In modern power systems, the electricity market is designed to enable reliable and efficient resource adequacy with the opportunity to attract investments into the market that achieve the system’s reliability objectives.

To ensure that energy markets are supported by a robust operation plan with high amounts of IBR penetration, there is a necessity to involve advanced optimization techniques to manage such complicated scenarios. Optimization techniques, which can receive help from sophisticated Artificial Intelligence-based system condition forecasts, with a focus on providing intelligent dispatch solutions for weak grid areas, enhanced IBR grid interconnection processes, and localized tunning-based generator settings, can be of a great interest to research in this area of study as well as to industry at a global scale.

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

• Adaptive dispatch rules;
• Economic dispatch optimization;
• IBR integration process optimization;
• IBR system-level control setting optimization;
• Mixed-integer programming;
• Power system stability prediction;
• Energy market optimization;
• Distribution Energy Markets;
• Artificial Intelligence application in power systems;
• Sizing of Battery Energy Storage Systems (BESSs) in power systems.

Dr. Thair Mahmoud
Guest Editor

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