AI-Enhanced Stability and Resilience in Modern Power Systems

Dear Colleagues,

The global energy transition, characterized by the integration of renewable energy sources (RESs), is fundamentally reshaping power systems. While imperative for decarbonization, this shift introduces profound challenges for stability due to the inherent uncertainty of RESs and the displacement of conventional synchronous generators. This leads to critical issues, including reduced system inertia, unstable frequency, and unpredictable power oscillations. Concurrently, modern power grids face escalating threats from extreme natural disasters, such as wildfires, hurricanes, and floods, which are becoming more frequent and intense due to climate change. These events severely compromise system reliability, causing widespread and prolonged outages.

Together, these two issues—internal instability from renewable integration and external threats from extreme weather—create a uniquely difficult environment for successful grid operation. Conventional methods are no longer sufficient to ensure security and reliability.

This Special Issue focuses on the potential of artificial intelligence (AI) to help build power systems that are both stable in the face of internal disruptions and resilient against external physical threats. We welcome the submission of cutting-edge studies that apply AI, machine learning, and data-driven approaches to address these combined challenges and enhance both the stability and resilience of power systems. Topics of interest include, but are not limited to, the following:

• AI applications in power system stability analysis and control;
• AI-based decision for resilient dispatch of power systems;
• AI-based emergency preparation for power systems;
• Stability analysis of renewable power systems;
• Frequency/voltage control in renewable power systems;
• Grid-forming/following control strategies in renewable power systems;
• Enhancing resilience of renewable power systems.

Prof. Dr. Sheng Cai
Dr. Yongji Cao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.