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储能系统技术 ★ 5.0

氢储能与抽水蓄能容量配置优化及比较分析以提升清洁能源基地电力系统灵活性

Optimization and comparative analysis of hydrogen energy storage and pumped hydro storage capacity configuration for enhancing power system flexibility in clean energy bases

语言:

中文摘要

摘要 可再生能源的并网引入了波动性和间歇性,对电力系统的稳定性构成挑战。尽管氢储能(HES)和抽水蓄能(PHS)均能有效缓解风电和光伏出力的波动,但二者在性能方面的系统性对比分析仍较为缺乏。本研究针对氢储能与抽水蓄能系统开展了能量容量最优配置的比较分析。我们构建了一种新颖的优化模型,综合考虑储能系统的约束条件,并引入小时利用率指标,结合熵权TOPSIS法进行综合评价。主要研究结果表明:两类技术各有优势,HES可提供61,200 MWh(85小时)的长时储能能力,而PHS则提供23,787 MWh(87小时)用于短期功率平衡。当光伏发电装机容量超过4,500 MW时,PHS表现出更高的效率;然而,两种系统均可实现超过92%的可再生能源利用率,其中HES在大规模集成场景中表现更优。综合评估结果显示,PHS在碳减排(减少二氧化碳排放199,200吨)、平准化度电成本(LCOE)以及投资回收期方面具有显著优势。两种技术的综合评价得分范围分别为PHS 39.51–74.31,HES 37.51–65.48。最优能源容量配置方案为4,000 MW光伏搭配1,200 MW储能,而在1,400 MW储能规模下,HES仍具备较强竞争力。本研究为可再生能源储能系统的部署决策提供了有价值的分析框架。

English Abstract

Abstract The integration of renewable energy introduces volatility and intermittency, challenging power system stability. While both hydrogen energy storage (HES) and pumped hydro storage (PHS) effectively mitigate fluctuations in wind and solar power generation, a systematic comparative analysis of their performance has been lacking. This study presents a comparative analysis of HES and PHS systems for optimal energy capacity configuration. We developed a novel optimization model incorporating storage constraints and introduced an hourly utilization rate metric for comprehensive evaluation using the Entropy-weighted TOPSIS method. Key findings demonstrate distinct advantages: HES provides 61,200 MWh (85 h) long-duration storage, while PHS offers 23,787 MWh (87 h) for short-term balancing. PHS shows superior efficiency above 4,500 MW photovoltaic (PV) capacity, though both systems achieve >92 % renewable utilization, with HES excelling in large-scale integration. The comprehensive evaluation reveals PHS’s significant advantages in carbon reduction (199,200 tons of CO 2 ), LCOE, and shorter payback period. Evaluation scores range 39.51–74.31 (PHS) and 37.51–65.48 (HES). The optimal energy capacity configuration combines 4,000 MW PV with 1,200 MW storage, while HES remains competitive at 1,400 MW. This research provides a valuable framework for renewable energy storage deployment decisions.
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SunView 深度解读

该研究对阳光电源储能系统配置具有重要指导意义。针对氢储能与抽水蓄能的对比分析,可优化ST系列PCS在大规模新能源基地的容量配置策略。研究提出的小时利用率指标和熵权TOPSIS评估方法,可集成至iSolarCloud平台,实现储能系统经济性与技术性能的智能评估。4000MW光伏配1200MW储能的最优方案,为PowerTitan系统在清洁能源基地的规模化部署提供数据支撑。结合GFM控制技术,可提升系统在高比例新能源场景下的灵活性调节能力,支撑>92%可再生能源利用率目标。