ResearchArticle An FRLQG Controller-Based Small-Signal Stability EnhancementofHybridMicrogridUsingtheBCSSOAlgorithm Ginbar Ensermu , 1 M. Vijayashanthi , 2 MeruguSuresh , 2 AbdulSubhaniShaik , 2 B. Premalatha , 2 andG.Devadasu 2 1 Wollega University, Electrical and Computer Engineering Department, Nekemte, Oromia, Ethiopia 2 CMR College of Engineering and echnology, Kandlakoya, Medchal Road, Hyderabad, elangana, India CorrespondenceshouldbeaddressedtoGinbarEnsermu;ginbalem@gmail.com Received 23 May 2022; Revised 1 November 2022; Accepted 13 January 2023; Published 4 February 2023 AcademicEditor:BhargavAppasani Copyright © 2023 Ginbar Ensermu et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Tedevelopmentofanetworktermedmicrogrid(MG)hasbeenmotivatedowingtoaugmentationinrenewableenergysource (RES)infltrationalongwiththeutilizationofenhancedpowerelectronictechnologies.Recently,morepopularityhasbeengained by the hybrid MG (HMG). Maintaining the power system’s (PS) small•signal stability (SSS) is highly complicated during the energyenhancementofRES.TeenhancementoftheSSShasbeenfocusedonbynumerousexistingmethodologies;however,the optimal solution was not obtained by those methodologies. A new controller with the assistance of bell•curved squirrel search optimization(BCSSO)isproposedtoaddresstheaforementionedissue.Initially,forPSssuchasphotovoltaic(PV),windturbines, along with fuel cells, a mathematical model is ascertained. Ten, in this, the converter design has been developed. Te PV’s maximum power fow is recognized by maximum power point tracking (MPPT) in the bidirectional switched buck•boost converter (BSBBC), which is utilized in this research, and by utilizing the fuzzy ruled linear quadratic Gaussian (FRLQG), the convertersarecontrolledtoassuresafeoperationalongwithsoftdynamics.ByemployingtheBCSSO,theparametersaremodifed in this controller which in turn ameliorates the SSS. Te experiential evaluation of the proposed system’s performance is analogizedwiththeexistingmethodologies.Consequently,theoutcomesconfrmedthatabetterperformancewasattainedbythe proposed methodology than the prevailing works. 1.Introduction OwingtotheriseintheutilizationofDCsourcesalongwith loads,thesurveyonDCMGshasattractedmoreattentionin the past few years. A group of distributed generators (DG), energy storage systems (ESS), local controllable along with noncontrollable loads are together combined into local distributionsystemscalledMG[1].Troughvariouskindsof powerelectronicsconverters(PEC),alloftheabovesaidare joined to a common DC bus [2]. AC•MG, DC MG, along withAC/DCMGsarethe“3”typesofMGs.Itassistsinthe integrationalongwiththeapplicationoflarge•scaleRESand is considered a small PS [3]. Te prevailing grid infra• structure,safety,andtechnologiesareincorporatedintothe AC•MG, and it is a highly adapted confguration. Te disadvantages are the necessity for the synchronization of DGandlossesduetoreactivepowercirculation[4].TeDC MGhasthefeaturesofexcessiveconversionefciencyalong withsmallerlinelosswhencorrelatedwiththeAC•MG[5]. ACalongwithDCinthesamedistributiongridiscombined intoahybridAC/DCMGinwhichthedirectamalgamation of AC• and DC•centric renewable energy is provided. Te conversion stages along with the energy losses are reduced by HMG. A minimal quantity of interface elements is used devoid of the synchronization of generation along with storage units, as they are directly linked to the AC/DC network [6]. Normally, regarding the technical, economic, and environment is unclear. Please rephrase it for clarity., DGisbenefcial[7].Tesmall•signaloscillationsarecaused inthedistributionsystems(DS)owingtosuboptimalsizing, Hindawi Journal of Electrical and Computer Engineering Volume 2023, Article ID 8404457, 15 pages https://doi.org/10.1155/2023/8404457