Author(s): Weijia Yang; Zhigao Zhao; Yongguang Cheng; Jiandong Yang
Linked Author(s): Zhigao Zhao, Yongguang Cheng
Keywords: Physical experiment hydropower hybrid energy system renewable energy hydraulic machinery
Abstract: Hydropower stands as the world’s largest renewable energy resource, with its regulation capabilities poised to outperform power generation in harmonizing fluctuating renewables under the ambitious global Net-Zero emissions target. Furthermore, pumped storage currently boasts the largest and most dominant capacity in global electric energy storage. Consequently, the regulation performance and dynamic features of hydropower systems hold paramount significance. The scientific essence of hydropower operations, encompassing pumped storage, is rooted in multi-physics and multi-time-scale dynamic systems, where the hydraulic-mechanical-electrical coupling mechanism poses a pivotal challenge. Physical modeling experiments serve as a vital tool in comprehending and addressing these intricate issues. In this context, this work introduces advancements in developing a physical experimental platform for a hydropower-dominant hybrid energy system. It presents the methodology and performance of a hybrid physical model that simulates the dynamic coupling of hydraulic, mechanical, and electrical systems. The platform is designed to seamlessly integrate diverse power sources, including the conventional hydropower system (CHPS), pumped storage power system (PSPS), photovoltaic (PV) generation system, and battery energy storage system (BESS), with provisions for future incorporation of a wind power (WP) generation system. Future experimental plans will encompass various topics, such as coordinated control strategies, transient behaviors of hydropower systems, and dynamic characteristics of the hybrid energy system. The model methodology and experimental research endeavor to establish a robust theoretical and technical foundation for the safe, stable, and intelligent operation of hydropower-dominant hybrid energy systems.
Year: 2025