This paper presents an original two-steps methodology to size DERs (Distributed Energy Resources) in stand-alone microgrids, to be installed in different areas, featuring different meteorological conditions, but same kind of loads. Design examples are simulated to analyze how an increased level of resilience, considered in terms of number of days of autonomy after an initial incident, affects the sizing of a PV field and its storage. A practical tool to support strategic choices is methodologically illustrated and applied to two case studies to find the best configuration, which is identified by a trade-off among fuel consumption, sizes of PV arrays and resilience. Key design parameters help in designing the best system according to the location, by focusing on the newly identified key performance indicator $NPV^{s}$ , the simplified net present value of specific scenarios of interest, where a penalty is introduced to account for less than the ideal target of autonomy. The model-based design used to create the microgrid simulations is validated by experimental measurements on a test-bed hybrid microgrid.

中文翻译：

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不同气候条件下弹性独立混合微电网的设计与优化策略

本文提出了一种原始的两步方法来确定独立微电网中 DER（分布式能源）的大小，这些微电网将安装在不同的区域，具有不同的气象条件，但负载类型相同。模拟设计示例以分析增加的弹性水平（从初始事件后的自主天数考虑）如何影响光伏场的大小及其存储。一个支持战略选择的实用工具在方法上进行了说明，并应用于两个案例研究以找到最佳配置，这是通过燃料消耗、光伏阵列尺寸和弹性之间的权衡来确定的。通过关注新确定的关键绩效指标，关键设计参数有助于根据位置设计最佳系统$NPV^{s}$ ，特定感兴趣场景的简化净现值，其中引入惩罚以考虑少于自治的理想目标。用于创建微电网模拟的基于模型的设计通过在试验台混合微电网上的实验测量得到验证。