王磊,贾健雄,刘倩,靳幸福,孙博,王馨.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[J].电测与仪表,2023,60(10):17-23. WangLei,Jia JianXiong,Liu Qian,Jin XinFu,Sun Bo,Wang Xin.Hydrogen Electric Hybrid Time Scale Joint Energy Storage System Planning based on Improved Bi-level Robustness Method[J].Electrical Measurement & Instrumentation,2023,60(10):17-23.
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
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.