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A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration.

机译:用于具有太阳能集成功能的离网电源系统中电池退化分析和优化的线性编程方法。

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摘要

Storage technologies and storage integration are currently key topics of research in energy systems, due to the resulting possibilities for reducing the costs of renewables integration. Off-grid power systems in particular have received wide attention around the world, as they allow electricity access in remote rural areas at lower costs than grid extension. They are usually integrated with storage units, especially batteries. A key issue in cost effectiveness of such systems is battery degradation as the battery is charged and discharged.ududWe present linear programming models for the optimal management of off-grid systems. The main contribution of this study is developing a methodology to include battery degradation processes inside the optimization models, through the definition of battery degradation costs. As there are very limited data that can be used to relate the battery usage with degradation issues, we propose sensitivity analyses to investigate how degradation costs and different operational patterns relate each others. The objective is to show the combinations of battery costs and performance that makes the system more economic.
机译:由于降低了可再生能源集成的成本,因此存储技术和存储集成目前是能源系统研究的关键主题。特别是离网电力系统在世界范围内受到广泛关注,因为它们允许偏远农村地区的电力接入成本低于电网扩展成本。它们通常与存储单元集成在一起,尤其是电池。此类系统的成本效益中的一个关键问题是电池在充电和放电过程中的退化。 ud ud我们提出了用于优化离网系统的线性编程模型。这项研究的主要贡献是通过定义电池退化成本,开发了一种将电池退化过程纳入优化模型的方法。由于只能用于将电池使用量与退化问题相关联的数据非常有限,因此我们建议进行敏感性分析,以研究退化成本与不同操作模式之间的相互关系。目的是显示使系统更加经济的电池成本和性能的组合。

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