Research Article Parameter-Free Improved Best-Worst Optimizers and Their Application for Simultaneous Distributed Generation and Shunt Capacitors Allocation in Distribution Networks Zohaib Hussain Leghari , 1 Saddam Hussain , 2 Ahsanullah Memon , 3 Abdul Hakeem Memon , 1 and Ashfaque Ahmed Baloch 4 1 Department of Electrical Engineering, Mehran University of Engineering and Technology (MUET), Jamshoro 76062, Sindh, Pakistan 2 School of Electrical Engineering (SKE), Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Johor, Malaysia 3 Department of Electrical Engineering, Mehran University of Engineering and Technology (MUET), SZAB Campus, Khairpur Mirs 66020, Sindh, Pakistan 4 Department of Electrical Engineering, Ziauddin University Faculty of Engineering, Science and Technology (ZUFEST), Karachi 74600, Sindh, Pakistan CorrespondenceshouldbeaddressedtoZohaibHussainLeghari;zohaib.leghari@faculty.muet.edu.pk Received 11 March 2022; Revised 15 July 2022; Accepted 19 July 2022; Published 24 September 2022 AcademicEditor:GulshanSharma Copyright © 2022 Zohaib Hussain Leghari et al. is is an open access article distributed under the Creative Commons AttributionLicense,whichpermitsunrestricteduse,distribution,andreproductioninanymedium,providedtheoriginalworkis properlycited. ispaperproposesparameter-freetwobest-worstoptimizers(BWOs)thatcombinethesearchingcapabilitiesofJayaandRao-1 algorithmstointensifytheirexplorationandexploitationcapabilities.Fortheproposedfirstoptimizer,BWO-1,paralleltaxonomy hasbeenadoptedfortheJayaandRao-1combinationtoobtaindualsetsofupdatedsolutionsforagivencurrentsolutionset.For the proposed second optimizer, BWO-2, along with the parallel taxonomy, a subloop of random scaling factors has been in- troducedinthesolutionupdatingmechanismofbothstandardJayaandRao-1algorithmstogeneratemultiplesetsofupdated solutions in a single iteration. e best solutions from obtained multiple solution-sets will survive only and lead to the next iteration.Hence,theproposedsolutionupdatingmechanismsforBWO-1andBWO-2increasetheprobabilityofgettingaquality solutionundersetconditions.eabilityandscalabilityofBWO-1andBWO-2wereassessed,solvingtheoptimizationproblem ofpowerlossreductionandvoltagedeviationminimizationintheIEEE33-busand69-bustestsystems.eresultsshowthatthe BWO-2exhibitedaleadof2.97%,1.83%,and0.72%overtheRao-1,Jaya,andBWO-1techniques,respectively.Besides,theBWO- 2 achieves up to 38.76% more reduction in power losses against the existing standard, improved, and hybrid optimization techniques. 1.Introduction Duetotherisingpowerdemandforelectricity,utilitiesface challenges such as increased power losses, poor voltage regulation, reduced power quality, irregularity in power supply, high short-circuit levels, and poor power system stability.Generally,comparedtothetransmissionlines,the currentflowsarehigherinthedistributionnetworks,which areusuallyradial.Forthesereasons,asignificantamountof power losses are related to the distribution networks. It is reported that about 13% of the total generated power is wasted as power loss in distribution networks [1, 2]. e distributedgeneration(DG)andshuntcapacitors(SCs)are generally installed into the radial distribution networks (RDNs)asaneffectivemeasuretoreducepowerlossesand improvereliability.DGsareoftenusedasthesourceofactive andreactivepowerswhileSCsareusedonlyasasourceof reactive power. Resultantly, SCs are considered less Hindawi International Transactions on Electrical Energy Systems Volume 2022, Article ID 6833488, 31 pages https://doi.org/10.1155/2022/6833488