共享氢储能数据中心绿能协同优化

Green Energy Collaborative Optimization Strategy for Shared Hydrogen Energy Storage Data Centers

  • 摘要: 针对高耗能数据中心面临的严峻脱碳挑战与绿能供应技术瓶颈,本文提出1种基于共享氢储能电站的协同优化控制策略,通过构建“电-电”“电-氢”“氢-氢”“氢-电”多能互补耦合系统,建立“制氢成本低、调峰收益高、备用保障强”的多目标动态平衡机制,并结合交替方向乘子法(ADMM)实现隐私保护下的全局电氢交互优化。案例研究表明:所提多元供能方案可使数据中心绿电消纳率稳定维持在98.1%以上;基于氢储能的跨季节能量转移特性,氢发电在极端场景下能提供稳定的调峰容量,调峰收益达181.04万元/年;相较于柴油发电机备用方案,氢燃料电池耦合电储能的10年期总成本节约量达1474.9万元,全生命周期碳排放强度降低96.8%。该研究为破解数据中心“高可靠-低碳化-低成本”协同难题提供了量化方法与工程参考。

     

    Abstract: In response to the severe decarbonization challenges faced by high-energy-consuming data centers and the technical bottlenecks of green energy supply, this paper proposes a collaborative optimization control strategy based on a shared hydrogen energy storage power station. By constructing a multi-energy complementary coupling system of "electricity-electricity", "electricity-hydrogen", "hydrogen-hydrogen" and "hydrogen-electricity", a multi-objective dynamic balance mechanism characterized by "low hydrogen production cost, high peak-shaving revenue, and strong backup guarantee" is established, which is combined with the Alternating Direction Method of Multipliers (ADMM) to achieve the global electricity-hydrogen interaction optimization under privacy protection. Case studies show that the proposed multi-energy supply scheme can stably maintain the green electricity consumption rate of the data center above 98.1%. Based on the cross-seasonal energy transfer characteristics of hydrogen energy storage, hydrogen power generation also provides a stable peak regulation capacity in extreme scenarios, and the peak regulation revenue reaches 1.8104 million yuan per year. Compared with the backup scheme of diesel generators, the total cost savings of the hydrogen fuel cell coupled with electric energy storage over a ten-year period reach 14.749 million yuan, and the carbon emission intensity in the whole life cycle is reduced by 96.8%. This study provides a quantitative method and engineering reference for solving the collaborative problem of "high reliability-low carbonization-low cost" in data centers.

     

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