A modified honey badger algorithm for optimal sizing of an AC coupled stand-alone photovoltaic-battery system

The optimal size of a stand-alone photovoltaic-battery system is necessary to attain a reliable energy supply. This paper presents a modified Honey Badger Algorithm (HBA) as a sizing optimization approach to solve the optimal sizing problem of an AC coupled stand-alone photovoltaic-battery system. At each iteration, the simulation of the modified algorithm improves the search of the conventional HBA. The optimization goal is to calculate the optimal size of the system components. i.e. PV modules, batteries, and inverters while minimizing the Loss of Load Probability (LOLP). The performance of modified HBA as an optimization technique was first tested using standard benchmark functions and compared with conventional HBA, Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). Meanwhile, the performance of modified HBA in sizing the stand-alone photovoltaic system was also compared with an Iterative Sizing Algorithm (ISA), conventional HBA, FA and PSO. The results demonstrated the modified HBA's superiority in terms of achieving the lowest LOLP with relatively lower computational time than most of the meta-heuristic methods under investigation. (C) 2022 The Author(s). Published by Elsevier Ltd.

Automated summary

This paper presents a modified Honey Badger Algorithm (HBA) as a sizing optimization approach for an AC coupled stand-alone photovoltaic-battery system. The goal is to calculate the optimal size of system components while minimizing the Loss of Load Probability (LOLP). The results show that the modified HBA performs better in terms of achieving the lowest LOLP with relatively lower computational time compared to other meta-heuristic methods.