ICPEAShanghai, China

Chair / 主席:
Chenhui Lin, Assistant Professor / 助理研究员, Tsinghua University / 清华大学

Co-Chairs / 共同主席:
Han Wang, Associate Professor / 副研究员, Shanghai Jiao Tong University / 上海交通大学
Qi Wang, Postdoctoral Researcher / 博士后, Hong Kong Polytechnic University / 香港理工大学

The transformation of new power systems has driven significant advancements in renewable energy technologies and accelerated the deep integration of various new entities including energy storage, electric vehicles, and hydrogen energy into power systems. This transformation urgently requires a re-examination of the coordinated operation and integrated planning methods for various resources across generation, grid, load, and storage. The rise of distributed energy resources, virtual power plants, and innovative energy storage solutions has brought new challenges to grid operation and planning. To address these challenges, it is necessary to develop advanced modeling techniques and propose efficient operation and planning strategies to unleash system flexibility, enhance system resilience, and promote large-scale integration of renewable energy in new power systems. Therefore, this special session aims to provide a platform for exchanging and showcasing the latest research achievements in this field, with particular focus on the integrated application of artificial intelligence and operational optimization in the coordinated operation and planning of generation-grid-load-storage systems, as well as the integration and management of new elements such as electric vehicles and hydrogen energy.

新型电力系统的转型推动了可再生能源技术的显著进步，加速了包括储能、电动汽车、氢能在内的多种新型主体在电力系统中的深度融合。这一变革迫切需要重新审视源-网-荷-储各类资源的协同运行与一体化规划方式。分布式能源资源、虚拟电厂以及创新型储能解决方案的兴起，给电网的运行与规划带来了新的挑战。为应对这些挑战，需要发展先进的建模技术，提出高效的运行和规划策略，以释放系统灵活性，增强系统韧性，促进可再生能源在新型电力系统中的大规模接入。因此，本专题旨在为该领域的最新研究成果提供一个交流与展示的平台，特别关注人工智能与运筹优化在源-网-荷-储协同运行与规划中的融合应用，以及电动汽车和氢能等新型要素的集成与管理。

1. 人工智能在源-网-荷-储协同中的应用
2. 电动汽车与氢能的集成与管理
3. 数字化与智能化技术在新型电力系统中的应用
4. 新型主体的协同运行与规划策略
5. 源-网-荷-储一体化建模与优化方法