AI-Driven Solutions for Operation and Control of Future Smart Grids
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 June 2025 | Viewed by 460
Special Issue Editors
Interests: power system security and stability; high-fidelity power grid modeling; simulation and analysis; application of HPC and artificial intelligence
Interests: power grid security and stability assessment; renewable energy integration and control; application of AI in smart grid; power grid state estimation and model calibration
Special Issue Information
Dear Colleagues,
The strong uncertainty, nonlinearity, and intermittency of renewable generation are imposing grand challenges for the secure and economic planning and operation of smart grids. Traditional methods’ performance can be limited without considering such growing uncertainties. Together with high-fidelity high-performance simulation techniques and big data analytics, the fast development of artificial intelligence (AI) technology, especially reinforcement learning (RL), provides a promising way of tackling these critical issues by providing effective and prompt control for power grid operation and control. This Special Issue aims at presenting recent developments and advancements in AI-driven solutions for the operation and control of future smart grids with high penetration of renewable generation and power electronics-based devices for achieving the goals of the full absorption of renewable energy, the optimized allocation of large-scale energy resources, and the reliable supply of electricity.
Dr. Ruisheng Diao
Dr. Renke Huang
Guest Editors
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Keywords
- artificial intelligence
- smart grid
- renewable energy
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