Erratum to “Enhancement of distribution system performance with reconfiguration, distributed generation and capacitor bank deployment” [Heliyon Volume 10, Issue 7, April 2024, Article e26343](S2405844024023740)(10.1016/j.heliyon.2024.e26343)

In the original published version of this article, references [68]-[73] were added in error. As such, the last two sentences of the Conclusion also need to be removed. Conclusion, page 13: As the GWO requires almost no tuning - thus making it much simpler to implement compared with other metaheuristic and MINLP algorithms - it can be used for solving other challenging optimization problems. Further scope for optimization involving energy storage may be explored [68,69]. Other metaheuristic methods too may be tried [70–73]. References, page 16: [67] C.L.B. Silveira, A. Tabares, L.T. Faria, J.F. Franco, Mathematical optimization versus Metaheuristic techniques: a performance comparison for reconfiguration of distribution systems, Electr. Power Syst. Res. 196 (2021), https://doi.org/10.1016/j.epsr.2021.107272. [68] Y. Li et al., Optimal distributed generation planning in active distribution networks considering integration of energy storage, Appl. Energy 210 (2018) 1073–1081. [69] Y. Li, B. Feng, B. Wang, S. Sun, Joint planning of distributed generations and energy storage in active distribution networks: a Bi-Level programming approach, Energy 245 (2022), https://doi.org/10.1016/j.energy.2022.123226. [70] A.M. Fathollahi-Fard, M. Hajiaghaei-Keshteli, R. Tavakkoli-Moghaddam, Red deer algorithm (RDA): a new nature-inspired meta-heuristic, Soft Comput. 24 (2020) 14637–14665. [71] A.M. Fathollahi-Fard, M. Hajiaghaei-Keshteli, R. Tavakkoli-Moghaddam, The social engineering optimizer (SEO), Eng. Appl. Artif. Intell. 72 (2018) 267–293. [72] M. Khajehzadeh, M.R. Taha, A. El-Shafie, M. Eslami, Search for critical failure surface in slope stability analysis by gravitational search algorithm, Int. J. Phys. Sci. 6 (21) (2011) 5012–5021. [73] M. Khajehzadeh, M.R. Taha, M. Eslami, Multi-objective optimization of retaining walls using hybrid adaptive gravitational search algorithm, Civ. Eng. Environ. Syst. 31 (3) (2014) 229–242. The updated article has removed the last two sentences and the final 6 references. The correct version of X can be found below: Conclusion, page 13: As the GWO requires almost no tuning - thus making it much simpler to implement compared with other metaheuristic and MINLP algorithms - it can be used for solving other challenging optimization problems. References, page 16: [67] C.L.B. Silveira, A. Tabares, L.T. Faria, J.F. Franco, Mathematical optimization versus Metaheuristic techniques: a performance comparison for reconfiguration of distribution systems, Electr. Power Syst. Res. 196 (2021), https://doi.org/10.1016/j.epsr.2021.107272. The publisher apologizes for the errors. Both the HTML and PDF versions of the article have been updated to correct the errors.