基于氢储能系统和电热柔性负荷的多层协调优化调度

Multi-Layer Coordinated Optimal Scheduling Based on Hydrogen Energy Storage System and Electrothermal Flexible Load

摘要: 含有氢储能系统和电、热柔性负荷的综合能源系统，在进行优化调度的过程中，存在调整次数过多而导致的各元器件寿命减少或用户满意度下降，以及调整成本较高等问题。因此引入调整成本以减少调整次数，在实现调整成本最小及调整次数较少的基础上，有效地提高各元件的使用寿命。其次，建立柔性负荷调整层，对电、热柔性负荷的转移、平移、削减等行为进行调整与修正，以提高用户的满意程度。此外，提出一种考虑氢燃料汽车用氢成本的优化策略，通过蒙特卡洛算法模拟加氢站一天内所需要的氢气总量，将氢储能系统利用系统运行中盈余的电能所制得的氢气供应给加氢站，该优化策略不仅能帮助综合能源系统处理未使用的氢气，同时将存储的氢气出售给加氢站还能够获得额外的利益。

Abstract: In the integrated energy system with hydrogen energy storage system and electrical and thermal flexible loads, there are problems in the process of optimal scheduling, such as the reduction of the life of each component or the decrease of user satisfaction caused by too many adjustment times, and the high adjustment cost. Therefore, the adjustment cost is introduced to reduce the number of adjustments, and the service life of each component is effectively improved on the basis of realizing the minimum adjustment cost and fewer adjustment times. Secondly, the flexible load adjustment layer is established to adjust and correct the transfer, translation and reduction of the electrical and thermal flexible load, so as to improve the user’s satisfaction. In addition, an optimization strategy considering the cost of hydrogen for hydrogen-fueled vehicles is proposed. The total amount of hydrogen required by the hydrogen refueling station in one day is simulated by Monte Carlo algorithm, and the hydrogen produced by the hydrogen energy storage system using the surplus electric energy generated during the operation of the system is supplied to the hydrogen refueling station. There is also the added benefit of selling stored hydrogen to filling stations.