Introduction
With the increasing penetrations of renewable energy generations, the sustainable development of power systems around the global are facing new challenges in term of planning and operations. Wind and solar energy are the major driving force for the development, but also introduced uncertainties, changed the system dynamics, and revised the operation principles. These impacts are on all voltage levels in power systems and at multiple side, including the large-scale renewable generations in bulk grid and distributed generations in distribution system before and behind the meters. In the foreseeable future, the sustainable development of power system will fundamentally change how the power engineering approach the system and how the people use the electricity.
In recent years, the fascinating progress in artificial intelligence research has attracted wide attentions. This also provides a potential solution direction for the power systems development. Numerous studies have been published in scientific journals in terms of the applications of artificial intelligence in power systems planning and operations considering renewable energy penetrations. However, there is still a gap between the theoretical research in academia and the challenges faced by engineers in power industry. The majority of current machine learning algorithms are originally designed for the tasks in computer science and engineering field. As a result, the performance, efficiency, reliability, interpretability of the machine learning algorithms is not optimized for power system applications. In this special session, we are aiming to bridge this gap with new advances in the applications of artificial intelligence in power systems planning and operations.
Topics
The topics are, but not limited to the followings:- （1）Knowledge-Data complementary framework in power system planning and operations
（2）Model-Data combined driven technology in power system planning and operations
（3）Physical informed Neural networks in power system planning and operations
（4）Human-in-the-loop artificial intelligence framework for power system planning and operations
（5）Deep learning-based renewable energy generation estimations and available power analysis
（6）Deep reinforcement learning-based power system operations
（7）Meta learning in power system planning and operations
（8）Artificial intelligence-based power system market and multi-agent games
（9）Artificial intelligence-based power system stability analysis and control
（10）Explainable machine learning in power systems planning and operations
（11）Other advances in sustainable development of power systems with artificial intelligence
Paper Submission
The authors are required to submit papers to ICEI 2024 EasyChair Account.
