Emerging AI Technologies in Renewable Power System Assessment, Control and Dispatching
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 10 July 2026 | Viewed by 2898
Special Issue Editor
2. School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
Interests: power system planning; power system stability; integrated energy system; energy storage technology; low-carbon energy technolog
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Renewable power systems play an essential role in providing humanity a clean and low-carbon future for energy across the world. However, renewable energy remains uncertain and variable, leading to challenges in real-time power balancing and thus potentially jeopardizing the security, stability, and reliability of power grids. Recently, artificial intelligence (AI) methods have become a critical topic in the field, deployed in operational characteristic analysis of power grids. AI technologies, including machine learning, data mining, time series data analytics, and sensor networks, provide unlimited possibilities and opportunities for sustainable energy generation prediction, stability analysis and control, and power system dispatching. Incorporating AI, machine learning, and deep learning technologies into power system operation poses challenges and research gaps. The uncertainty and performance issues in current and future renewable power systems need to be addressed.
This Special Issue aims to provide a platform for researchers and scientists to share high-quality research solutions and outcomes for renewable power systems using emerging AI technologies. The focus is on both data-driven and physics-based techniques that aim to achieve more interpretable and efficient power system assessment, control, and dispatching methods.
Topics of interest for publication include, but are not limited to, the following:
- Extreme scene generation based on knowledge–data fusion models;
- Sustainable energy generation modeling and prediction;
- Power system security situation awareness;
- Stability analysis of power systems with high renewable energy penetration;
- Intelligent evaluation of multi-type power system stability;
- Security and stability control of hybrid AC/DC power systems;
- Active support technology for grid-forming equipment;
- Optimal power and energy system operation with uncertainty;
- Multi-period economic dispatch modeling for smart grids;
- AI method application in short-term dispatching.
Dr. Boyu Qin
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.
Keywords
- artificial intelligence
- renewable power systems
- stability analysis
- coordinated control
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