%0 Journal Article %T 考虑需求响应的氢储能辅助火电机组调峰策略
Hydrogen Energy Storage-Assisted Peak Shaving Strategy for Thermal Power Units with Demand Response %A 柏婷 %A 谭玉华 %A 李天乐 %J Modeling and Simulation %P 953-966 %@ 2324-870X %D 2025 %I Hans Publishing %R 10.12677/mos.2025.144345 %X 高比例可再生能源并网加剧了电力系统调峰压力，传统火电机组主导的调峰模式面临灵活性不足与运行成本攀升的双重挑战。为此，本研究提出一种考虑需求响应的氢储能辅助火电机组调峰策略。首先，本文基于氢储能系统各设备单元的运行特性，提出氢储能单元–火电机组联合承担旋转备用的策略，提升系统的调峰灵活性，降低火电机组的调峰压力。然后，本文建立考虑用户用能舒适度和购电满意度的需求响应模型，该模型在调节电价与负荷的同时兼顾消费者用能心理变化特点使得本调峰策略更符合实际。接着，考虑需求响应与氢储能共同辅助火电机组调峰以实现各类资源的协调调度，提高新能源的消纳量，降低净负荷峰谷差。最后，通过改进IEEE30节点系统仿真分析，验证所提策略调峰有效性和经济性。
The integration of high-proportion renewable energy sources has intensified peak regulation pressure on power systems, presenting dual challenges of insufficient flexibility and rising operational costs for traditional thermal power-dominated peak regulation models. To address this, this study proposes a hydrogen energy storage-assisted thermal power unit peak regulation strategy incorporating demand response. Firstly, based on the operational characteristics of hydrogen energy storage system components, a strategy is developed where hydrogen energy storage units and thermal power units share rotational reserve responsibilities. This approach improves system peak regulation flexibility and alleviates thermal unit load. Subsequently, a demand response model is formulated to balance user energy comfort and electricity purchasing satisfaction. By dynamically adjusting electricity prices and loads while accounting for consumer psychological preferences, the strategy aligns with real-world behavior patterns. Furthermore, the combined effects of demand response and hydrogen energy storage are leveraged to achieve synergistic dispatch, maximizing renewable energy integration and minimizing net load peak-to-valley differences. Finally, simulation analysis using a modified IEEE 30-bus system demonstrates the proposed strategy’s effectiveness in enhancing peak regulation performance and economic efficiency. %K 氢储能系统， %K 需求响应， %K 火电机组调峰， %K 运行优化
Hydrogen Energy Storage System %K Demand Response %K Thermal Power Unit Peak-Shaving %K Operational Optimization %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=113055