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电气工程与自动化

Journal of Electrical Engineering and Automation

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Journal of Electrical Engineering and Automation. 2025; 4: (7) ; 10.12208/j.jeea.20250220 .

Dynamic modeling and control optimization of molten salt thermal energy storage system in concentrated solar power plants
光热电站熔盐储热系统的动态建模与控制优化

作者: 王均 *

四川兴网电力设计有限公司 四川成都

*通讯作者: 王均,单位:四川兴网电力设计有限公司 四川成都;

引用本文: 王均 光热电站熔盐储热系统的动态建模与控制优化[J]. 电气工程与自动化, 2025; 4: (7) : 7-9.
Published: 2025/12/7 9:20:38

摘要

光热电站的熔盐储热系统在提高电力系统稳定性和利用可再生能源方面具有重要作用。本研究针对熔盐储热系统的动态建模与控制优化展开,提出了一种基于系统模型和实时数据反馈的优化控制策略。通过建立熔盐储热系统的动态数学模型,结合现代控制理论,设计了高效的控制算法,以提升系统的响应速度与能效。优化控制不仅能够有效提高储热效率,还能减少能量损失,确保电力供应的连续性与稳定性。本文的研究为光热电站的储热技术提供了理论基础与技术支持,为未来可再生能源的广泛应用提供了参考。

关键词: 光热电站;熔盐储热;动态建模;控制优化;能效提升

Abstract

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.

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

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