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A modified marine predators optimization algorithm for simultaneous network reconfiguration and distributed generator allocation in distribution systems under different loading conditions
Engineering Optimization ( IF 2.2 ) Pub Date : 2021-04-01 , DOI: 10.1080/0305215x.2021.1897799
Abdullah M. Shaheen 1 , Abdallah M. Elsayed 2 , Ragab A. El-Sehiemy 3 , Salah Kamel 4 , Sherif S. M. Ghoneim 5
Affiliation  

A modified marine predators optimizer (MMPO) is proposed for simultaneous distribution network reconfiguration (DNR) associated with the allocation of distributed generators (DGs). In the MMPO, the predator’s strategies are merged to consider the possibilities for variation in the environmental and climatic circumstances. The suggested MMPO is contrasted with the standard marine predators optimizer (MPO) and genetic, harmony search, fireworks, firefly and improved sine–cosine optimizers. The proposed MMPO is validated on single and multiple objectives using 33- and 69-bus distribution systems at light, nominal and heavy loading levels. The results obtained by the proposed MMPO are compared with those obtained by the original MPO and other optimizers. The achieved simulation outputs reveal a great improvement over the standard MPO and demonstrate the superiority of the proposed MMPO for simultaneous DNR and DG allocation.



中文翻译:

一种改进的海洋捕食者优化算法,用于不同负载条件下配电系统中的同时网络重构和分布式发电机分配

提出了一种改进的海洋捕食者优化器 (MMPO),用于与分布式发电机 (DG) 的分配相关的同步配电网络重新配置 (DNR)。在 MMPO 中,捕食者的策略被合并以考虑环境和气候环境变化的可能性。建议的 MMPO 与标准海洋捕食者优化器 (MPO) 和遗传、和谐搜索、烟花、萤火虫和改进的正弦余弦优化器进行对比。提议的 MMPO 使用 33 和 69 总线分配系统在轻、标称和重负载水平下对单个和多个目标进行了验证。将提议的 MMPO 获得的结果与原始 MPO 和其他优化器获得的结果进行比较。

更新日期:2021-04-01
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