With respect to the recent developments of hydrogen storage system (HSS), it is relevant to model these storage units in the network expansion planning. Also, most of the available expansion planning tools consider constant locations and sizing for renewable resources and only study the impacts of renewables on the model. It seems that considering variable location and capacity for renewable energies and finding their optimal levels may result in more flexible model. With regard to these issues, this paper presents distribution network expansion planning incorporating wind power and hydrogen storage. The optimal site and size of wind and hydrogen systems are denoted. The stochastic optimization programming is addressed to minimize the plan budgets. The purpose is to defer the investment and operating budgets. The uncertainty modeling is developed to handle the load-wind errors. The achievements demonstrate that the model finds optimal location, sizing, operation pattern, and setting for wind turbines and HSSs while the planning cost is deferred and minimized.

关于氢存储系统（HSS）的最新发展，在网络扩展计划中对这些存储单元进行建模是很重要的。而且，大多数可用的扩展计划工具都考虑了可再生资源的固定位置和大小，仅研究可再生能源对模型的影响。似乎考虑可变位置和可再生能源的容量并找到其最佳水平可能会导致更灵活的模型。针对这些问题，本文提出了结合风能和氢气存储的配电网络扩展计划。指出了风力和氢气系统的最佳位置和大小。解决随机优化程序是为了最大程度地减少计划预算。目的是推迟投资和运营预算。开发了不确定性模型来处理风荷载误差。取得的成就表明，该模型可以找到最佳位置，规模，运行模式和风轮机和HSS的设置，同时推迟并最小化计划成本。