Optimisation of the generating capacity of droop-based DGs integrated into an isolated AC microgrid using metaheuristic algorithms to minimise power losses

Main Article Content

Tuan-Ho Le

tuanhole@qnu.edu.vn

https://orcid.org/0000-0002-9638-8171
Tham X. Nguyen

nguyenxuantham@qnu.edu.vn

https://orcid.org/0000-0001-6247-2132
Robert Lis

robert.lis@pwr.edu.pl

https://orcid.org/0000-0002-5328-5543
Muhammad Jamshed Abbass

muhammad.abbass@pwr.edu.pl

https://orcid.org/0000-0003-2831-2316

Abstract

This study proposes three metaheuristic techniques, including differential evolution, moth-flame optimisation, and honey badger algorithm combined with a modified backward-forward sweep load flow approach to identify the optimal droop gains and reference voltage magnitudes of distributed generators (DGs) (i.e., optimal size of droop-based DGs) integrated with renewable sources to meet the electricity demands of an islanded AC microgrid. The suggested mathematical model was tested on a reconfigured 33-bus islanded microgrid under four scenarios with a time-varying load over 24 hours. The findings indicate that Case 3, which applies the honey badger (HB) algorithm to optimise droop coefficients and regulate reference voltage magnitudes within permissible limits, is the most effective in lowering power losses compared to other cases. The final results highlight the HB algorithm’s efficacy in minimising power losses while optimising the size of droop-based DGs in an islanded microgrid integrated with renewable energy sources.

Keywords:

islanded AC microgrid, losses power minimisation, voltage improvement, metaheuristic algorithms

References

Article Details

Le, T.-H., Nguyen, T. X., Lis, R., & Abbass, M. J. (2026). Optimisation of the generating capacity of droop-based DGs integrated into an isolated AC microgrid using metaheuristic algorithms to minimise power losses. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 16(2), 118–125. https://doi.org/10.35784/iapgos.7465