Optimal Control and Operation of Renewable Energy Power Station

Submission Deadline: 2025/6/18

Chair:          Pengda Wang, Hunan University, China                              Co-chair:          Sheng Huang, Hunan University, China

Summary:

Driven by the global low-carbon energy transition and the dual carbon goal, renewable energy plants, as pivotal platforms for large-scale renewable energy development, critically influence power system security and economic efficiency through their dynamic performance and operational effectiveness. However, the inherent challenges of high uncertainty, multi-timescale coupling interactions, and complex electromechanical dynamics arising from high-penetration renewable integration pose significant technical barriers to station-level coordinated control and precision operation-maintenance practices. This session focuses on cutting-edge technologies in optimization control and intelligent operation of solar power plants and wind farm. Key research directions include: Decoupling mechanisms of multi-spatiotemporal-scale dynamic interactions, coordinated optimal control strategies for station-level energy management, intelligent O&M frameworks with life-cycle optimization capabilities, and resilience enhancement technologies under extreme operating conditions. The presented advancements aim to establish theoretical foundations and technical pathways for ensuring secure, stable, and efficient operation of large-scale renewable energy facilities in modern power systems.