基于改进双层鲁棒的氢-电混合时间尺度联合储能系统规划

随着可再生能源并网比例持续提高,为平抑可再生能源发电波动的储能技术受到广泛的关注。氢储能作为一种新兴的储能方式可以实现长时间以及广域空间范围内的大规模电能量的转移,是消纳高比例可再生能源的重要技术。论文构建了包含电化学储能、氢储能及上级电网的氢-电联合耦合系统,构建了长期氢储能与短期电化学储能的长-短期混合时间尺度联合储能机制,建立了联合储能系统中各装置的数学模型。为降低常规双层鲁棒规划方法针对风/光/荷不确定性处理的复杂程度,克服对于求解器的依赖,提出了一种改进的双层鲁棒规划,充分计及了风/光/荷最不利的情况,实现了长短期的氢-电混合储能系统中的设备配置容量的规划。为分析氢储能在长时间尺度下充放能的过程,利用典型日权重系数法对典型日进行耦合,以较小的计算量来描述全年的氢储能充、放氢能量。针对某地区进行算例分析,并对其结果从系统各装置配置容量/功率、总成本及各装置功率时序进行比较分析,验证论文所述方法的可行性及有效性。

Hydrogen Electric Hybrid Time Scale Joint Energy Storage System Planning based on Improved Bi-level Robustness Method

With the continuous increase of the proportion of renewable energy connected to the grid, energy storage technology to suppress the fluctuation of renewable energy generation has received widespread attention. As a new energy storage method, hydrogen energy storage can transfer large-scale electric energy for a long time and in a wide area. It is an important technology to absorb a high proportion of renewable energy. In this paper, a hydrogen electricity joint coupling system including electrochemical energy storage, hydrogen energy storage and superior power grid is constructed, a long-term short-term hybrid time scale joint energy storage mechanism of long-term hydrogen energy storage and short-term electrochemical energy storage is constructed, and a mathematical model of each device in the joint energy storage system is established. In order to reduce the complexity of the conventional bi-level robust programming method in dealing with the uncertainty of wind / light / load and overcome the dependence on the solver, an improved bi-level robust programming is proposed, which fully takes the most unfavorable situation of wind / light / load into account and realizes the planning of equipment configuration capacity in the long-term and short-term hydrogen electric hybrid energy storage systems. In order to analyze the charging and discharging process of hydrogen storage energy in a long time scale, the typical day weight coefficient method is used to couple the typical days, and the annual hydrogen storage charging and discharging energy is described with a small amount of calculation. The feasibility and effectiveness of the method described in this paper are verified by a case study in a certain area and a comparative analysis of the results from the configuration capacity / power of each device, the total cost and the power sequence of each device in the system.