An optimum energy management strategy is proposed for a hybrid microgrid system's operation with various types of demands. To endorse minimizing system's project lifetime costs which include capital, replacing, operating, and maintaining cost, exchanged power cost with the grid, and cost of purchased natural gas, an optimization for minimizing operational cost of hybrid microgrid consisting of photovoltaic arrays, wind turbines, battery energy storage, fuel cell, and reformer is presented. To guarantee the benefits of the developed methodology, two different hydrogen production methods are considered. Utilizing battery energy storage is inevitable for mitigating intermittency of renewable energy resources in microgrid system with high level of integration of these components. To assess the optimum energy management strategy of the microgrid system, each source's model is developed to interrelate the energy altering between electricity and hydrogen. In order to ascertain the optimum capacity of each DER unit and the energy management within the system, a meta-heuristic Particle Swarm Optimization algorithm (PSO) is used. It is concluded from the results that by utilizing microgrid waste, there is about 8.7%, and by utilizing municipal waste, there is about 27% reduction in the fuel consumption in the employed reformer. It is observed that the cost of energy is reduced by 19% in the case of municipal waste utilization.

针对混合微电网系统在不同类型需求下的运行，提出了一种最佳能源管理策略。为了最大限度地降低系统的项目生命周期成本，包括资本、更换、运营和维护成本、与电网交换的电力成本以及购买天然气的成本，优化由光伏阵列、风力涡轮机组成的混合微电网的运营成本，介绍了电池储能、燃料电池和重整器。为了保证所开发方法的益处，考虑了两种不同的制氢方法。利用电池储能对于缓解这些组件高度集成的微电网系统中可再生能源的间歇性是不可避免的。为了评估微电网系统的最佳能源管理策略，开发了每个来源的模型来关联电力和氢之间的能量转换。为了确定每个 DER 单元的最佳容量和系统内的能量管理，使用了元启发式粒子群优化算法 (PSO)。结果表明，利用微电网垃圾，约8.7%，利用城市垃圾，所用重整装置燃料消耗降低约27%。据观察，在城市垃圾利用的情况下，能源成本降低了 19%。为了确定每个 DER 单元的最佳容量和系统内的能量管理，使用了元启发式粒子群优化算法 (PSO)。结果表明，利用微电网垃圾，约8.7%，利用城市垃圾，所用重整装置燃料消耗降低约27%。据观察，在城市垃圾利用的情况下，能源成本降低了 19%。为了确定每个 DER 单元的最佳容量和系统内的能量管理，使用了元启发式粒子群优化算法 (PSO)。结果表明，利用微电网垃圾，约8.7%，利用城市垃圾，所用重整装置燃料消耗降低约27%。据观察，在城市垃圾利用的情况下，能源成本降低了 19%。