王永利, 向皓, 郭璐, 侯慧之, 陈鑫, 王欢, 刘泽强, 邢军台, 崔昌涛. 面向多能互补的分布式光伏与电氢混合储能规划优化研究[J]. 电网技术, 2024, 48(2): 564-576. DOI: 10.13335/j.1000-3673.pst.2022.2156
引用本文: 王永利, 向皓, 郭璐, 侯慧之, 陈鑫, 王欢, 刘泽强, 邢军台, 崔昌涛. 面向多能互补的分布式光伏与电氢混合储能规划优化研究[J]. 电网技术, 2024, 48(2): 564-576. DOI: 10.13335/j.1000-3673.pst.2022.2156
WANG Yongli, XIANG Hao, GUO Lu, HOU Huizhi, CHEN Xin, WANG Huan, LIU Zeqiang, XING Juntai, CUI Changtao. Research on Planning Optimization of Distributed Photovoltaic and Electro-hydrogen Hybrid Energy Storage for Multi-energy Complementarity[J]. Power System Technology, 2024, 48(2): 564-576. DOI: 10.13335/j.1000-3673.pst.2022.2156
Citation: WANG Yongli, XIANG Hao, GUO Lu, HOU Huizhi, CHEN Xin, WANG Huan, LIU Zeqiang, XING Juntai, CUI Changtao. Research on Planning Optimization of Distributed Photovoltaic and Electro-hydrogen Hybrid Energy Storage for Multi-energy Complementarity[J]. Power System Technology, 2024, 48(2): 564-576. DOI: 10.13335/j.1000-3673.pst.2022.2156

面向多能互补的分布式光伏与电氢混合储能规划优化研究

Research on Planning Optimization of Distributed Photovoltaic and Electro-hydrogen Hybrid Energy Storage for Multi-energy Complementarity

  • 摘要: 在国家3060双碳目标的背景下,碳排放问题被列为重点研究对象,清洁能源因其可再生性和无污染性等特点被大力发展,化石燃料发电被很大程度的替代,但是清洁能源因其波动性和不稳定性也是一直被诟病。该文通过提出氢储能系统结合电池储能系统的电氢混合储能构建区域综合能源系统来对太阳能的不稳定进行消纳调节并实现用户侧的电热氢能源供给,将春夏富足的太阳能资源通过该混合储能系统进行存储并当秋冬光照不足时进行能量释放,从季节性实现对清洁能源消纳的调节作用,该模型以经济性和环保性为研究目标,通过智能算法寻优得到最优解,并通过能量梯级利用、季节性分析、关键影响因素分析等形式体现出混合储能的应用价值和前景。

     

    Abstract: In the context of the national double carbon targets in 3060, the carbon emission problem is listed as a key research object. Clean energy has been vigorously developed because of its renewable and non-polluting characteristics, and the fossil fuel power generation is being largely replaced. However, the clean energy has also been criticized because of its volatility and instability. This paper proposes a hydrogen storage system combined with a battery storage system to build a regional integrated energy system for the regulation of the instability of the solar energy to realize the supply of electric and thermal hydrogen energy on the user side. This method may store the abundant solar energy in spring and summer and release the energy when the light is not enough in autumn and winter, achieving the seasonal energy regulation. Taking the economy and environmental protection as the research goal, the optimal solution of this model is obtained by using the intelligent algorithm, and the application value and the prospect of the hybrid energy storage are reflected in the form of the energy gradient utilization, the seasonal analysis, and the analysis of the key influencing factors.

     

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