Journal of Electrical Engineering and Automation

The molten salt thermal energy storage system in concentrated solar power (CSP) plants plays a significant role in enhancing power system stability and promoting renewable energy utilization. This study focuses on the dynamic modeling and control optimization of molten salt thermal energy storage systems, proposing an optimized control strategy based on system modeling and real-time data feedback. By establishing a dynamic mathematical model of the system and incorporating modern control theory, an efficient control algorithm is designed to improve the system's response speed and energy efficiency. The optimized control not only effectively enhances thermal storage efficiency but also reduces energy losses, ensuring the continuity and stability of power supply. This research provides a theoretical foundation and technical support for thermal energy storage technologies in CSP plants, offering insights for the broader application of renewable energy in the future.

Concentrated solar power plant; Molten salt thermal energy storage; Dynamic modeling; Control optimization; Energy efficiency improvement