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Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm

机译:利用遗传算法优化微电网中分布式能源的单位规模

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摘要

In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.
机译:在本文中,开发了一种在MicroGid(MG)中为分布式能源(DRE)执行最佳机组规模的方法。基于遗传算法,开发了一种最佳的规模确定方法,以计算最佳的系统配置,该配置可以以最小的COE来实现客户所需的电源损耗概率(LPSP)。对于从单源DG和混合DG验证的建议方法结果,以及从HOMER获得的相同系统的结果均得到了验证。

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