论文标题
用于电源储能的分布式优化的多标准元映射算法
A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage
论文作者
论文摘要
储能储能的分布时间表优化构成了挑战。这种算法通常会期望一个输入集，其中包含所有可行的时间表或分别需要有效地搜索时间表空间。由于其较高的灵活性，几乎不可能用能量储存来实现这一目标。在本文中，该问题详细介绍了该问题，并由一种元神经算法解决，该算法会产生时间表的预选。提出了三项贡献以实现这一目标：首先，开发了分布式时间表优化的扩展，允许同时优化。其次，一种进化算法旨在生成优化的时间表。第三，将算法扩展到包括任意的本地标准。结果表明，提出的方法适合在具有不同的发电机和存储类型的真实家庭和行业中安排电源存储。
The distributed schedule optimization of energy storage constitutes a challenge. Such algorithms often expect an input set containing all feasible schedules or respectively require to efficiently search the schedule space. It is hardly possible to accomplish this with energy storage due to its high flexibility. In this paper, the problem is introduced in detail and addressed by a metaheuristic algorithm, which generates a preselection of schedules. Three contributions are presented to achieve this goal: First, an extension for a distributed schedule optimization allowing a simultaneous optimization is developed. Second, an evolutionary algorithm is designed to generate optimized schedules. Third, the algorithm is extended to include an arbitrary local criterion. It is shown that the presented approach is suitable to schedule electric energy storage in real households and industries with different generator and storage types.
