Optimal Scheduling of Energy Microgrid Containing Hydrogen Considering Flexible Resources

为保证能源可持续供应，缓解全球变暖问题，可再生能源快速发展，对电力系统的调节能力提出了更高要求。针对系统可调节资源不足、能源利用率低的问题，引入电氢双向转换装置和多元储能资源，建立了灵活性资源参与的能源微网优化模型，采用Gurobi求解器进行求解，并对比了不同运行场景的调度结果。仿真结果表明，在考虑电氢转换和电动汽车的调度结果中，微网的运行成本降低了5.60%，碳排放量减少了30.88%。考虑电制氢有助于实现能源梯级利用，电动汽车作为储能资源参与微网调度，在满足用户行程需求的前提下，可以缓解微网调峰压力，降低运行成本。通过电–热–氢–气多能源协同，提升了新能源消纳率，优化了系统经济与环境效益。In order to ensure sustainable energy supply and alleviate global warming, the rapid development of renewable energy has put forward higher requirements on the regulation capacity of the power system. In view of the problems of insufficient adjustable resources and low energy utilization rate of the system, the electricity-hydrogen bidirectional conversion device and multi-energy storage resources are introduced, and an energy microgrid optimization model with flexible resources participating is established. The Gurobi solver is used to solve the problem, and the scheduling results of different operation scenarios are compared. The simulation results show that in the scheduling results considering the electricity-hydrogen conversion and electric vehicles, the operation cost of the microgrid was reduced by 5.60% and the carbon emissions were reduced by 30.88%. Hydrogen production from electricity helps to realize the cascade utilization of energy. And as energy storage resources, electric vehicles participate in microgrid scheduling, which can alleviate the pressure of microgrid peak regulation, and reduce operating costs on the premise of meeting the needs of users. Through the multi-energy coordination of electricity-heat-hydrogen-gas, the consumption rate of new energy is improved, and the economic and environmental benefits of the system are optimized.