An improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approach

作者：

Highlights：

• Distribution network reconfiguration considering losses, reliability and power quality.

• Network reconfiguration based on new fuzzy multi-criteria approach.

• Using of a new Improved Corona-virus Herd Immunity Optimizer Algorithm (ICHIOA)

• Investigation of load variations impact on unbalanced network reconfiguration.

• Superiority of ICHIOA compared to CHIO, PSO, GWO, MFO, BA and ALO.

摘要

•Distribution network reconfiguration considering losses, reliability and power quality.•Network reconfiguration based on new fuzzy multi-criteria approach.•Using of a new Improved Corona-virus Herd Immunity Optimizer Algorithm (ICHIOA)•Investigation of load variations impact on unbalanced network reconfiguration.•Superiority of ICHIOA compared to CHIO, PSO, GWO, MFO, BA and ALO.

论文关键词：Network reconfiguration,Fuzzy multi-criteria approach,Power quality,Reliability,Improved corona-virus herd immunity optimizer algorithm

论文评审过程：Received 11 November 2020, Revised 16 August 2021, Accepted 12 September 2021, Available online 20 September 2021, Version of Record 24 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115914