AI-Driven Solutions for Operation and Control of Future Smart Grids

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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