Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative multi-year mixed-integer linear programming (MILP) optimization, in which power-dependent efficiency and capacity degradation of storage as functions of the operative strategy are considered. In this study, the computational burden of such a large problem is significantly reduced by means of an external loop that accounts for the hourly storage efficiency and residual capacity and serves to update the parameters for the MILP optimization of the following iteration. This approach is tested on a case study of a community in Soroti, in central-eastern Uganda. Comparison with the output of a one-shot MILP and with a procedure that overlooks the effects of the dispatching strategy on storage characteristics is shown, highlighting the benefits gained with the proposed algorithm in terms of both simulation time and accuracy of the design.

中文翻译：

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考虑存储退化的农村微电网的多年规划


微电网在实现普遍用电的努力中发挥着关键作用；因此，他们的准确规划（其中还包括系统在项目生命周期内的演变）对于最大化投资盈利能力至关重要。本文提出了一种迭代多年混合整数线性规划（MILP）优化，其中考虑了存储的功率相关效率和容量退化作为操作策略的函数。在本研究中，通过考虑每小时存储效率和剩余容量的外部循环，显着减少了如此大问题的计算负担，并用于更新后续迭代的 MILP 优化参数。这种方法在乌干达中东部索罗蒂社区的案例研究中进行了测试。图中显示了与一次性 MILP 的输出以及忽略调度策略对存储特性影响的过程的比较，突出了所提出的算法在仿真时间和设计精度方面所获得的优势。