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A QOBL-SAO and its variant: An open source software for optimizing PV/wind/battery system and CEC2020 real world problems

20241 citationOpen accessUniversity of Jos

Abstract

The Quasi oppositional smell agent optimization (QOBL-SAO) and its levy flight variant (LFQOBL-SAO) are two cutting-edge software tools for optimizing PV/wind/battery power systems. They can also be used to solve real-world CEC2020 optimization problems and are as good as top-performing software such as IUDE, ϵ MAgES and the iLSHAD ɛ. The QOBL-SAO exploits the random mode’s weakness and then adds a number to the initial population. The LFQOBL-SAO, on the other hand, improves the random mode’s weakness in order to solve this problem. The LFQOBL-SAO improves performance and search space by using levy flight instead of random code.

Research topics

  • Hybrid Renewable Energy Systems
  • Integrated Energy Systems Optimization
  • Smart Grid Energy Management

Sustainable Development Goals

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DOI: 10.1016/j.simpa.2024.100630

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