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A wind-diesel system with hydrogen storage: Joint optimisation of design and dispatch

机译:具有储氢功能的风柴油系统:设计和调度的联合优化

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We compare two models to determine the size of grid units and dispatch in a wind-diesel power system with hydrogen storage. Both take as data 1-year time series of hourly wind speed and electricity demand, and their objective is to minimise cost. Our first model, based on linear programming, generates as output a combination of capacities and a year time series for the dispatch variables. Our second model runs a fixed dispatch rule over several capacity combinations and selects the cheapest option. The dispatch rule can then be improved through comparison with the linear programming solution. At present costs, the hydrogen storage-conversion system is excluded from the solutions, so the interesting operation rules associated with the option of harvesting do not arise. However, the costs of hydrogen storage technologies are decreasing with investment. By running our model with prospective costs for year 2010, we see storage emerge in the optimum, and thus a sample of the operation patterns that will occur in a renewable dominated grid.
机译:我们比较了两个模型,以确定电网单元的大小,并在具有储氢功能的风柴油发电系统中进行调度。两者均以每小时风速和电力需求的1年时间序列作为数据,其目的是最大程度地降低成本。我们的第一个模型基于线性编程,可为调度变量生成容量和年份时间序列的组合作为输出。我们的第二个模型对几种容量组合运行固定的调度规则,并选择最便宜的选项。然后,可以通过与线性规划解决方案进行比较来改进调度规则。按照目前的成本,解决方案中不包括储氢转化系统,因此不会出现与收集选项相关的有趣操作规则。然而,储氢技术的成本随着投资而降低。通过以2010年的预期成本运行我们的模型,我们看到存储以最佳状态出现,因此示例了在可再生能源占主导地位的电网中将发生的运行模式。

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