Optimization of island microgrids should configure the module type and size in such a way that multiple objectives can be balanced. This paper presents a bioinspired optimization approach of microgrid sizing, with two salient features. First, the multiple objectives are categorized into four types: reliability, economy, renewable technology, and pollution. We present a triangular aggregation model, which is straightforward and cost effective to compute the fitness. Second, a bioinspired algorithm named Levy-Harmony is developed. We embed the Levy flight into the Harmony vector updating to enhance the global searching ability and, meantime, adopt a bias factor to avoid unnecessary exploration. The searching speed and accuracy are well balanced and improved. The real datasets are used for comparative studies, demonstrating the superiority of the proposed scheme against typical existing approaches.

中文翻译：

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基于三角聚集模型和征和协调算法的岛屿微电网多目标规模优化

孤岛微电网的优化应以可以平衡多个目标的方式配置模块的类型和大小。本文提出了一种具有生物启发性的微电网选型优化方法，该方法具有两个显着特征。首先，多个目标可分为四种类型：可靠性，经济性，可再生技术和污染。我们提出了一个三角聚合模型，该模型简单易行且具有成本效益，可以计算适合度。其次，开发了一种名为Levy-Harmony的生物启发算法。我们将征费飞行嵌入“和声”矢量更新中以增强全局搜索能力，同时，采用偏差因子以避免不必要的探索。搜索速度和准确性得到了很好的平衡和提高。实际数据集用于比较研究，