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A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System

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dc.citedby12
dc.contributor.authorFadheel B.A.en_US
dc.contributor.authorWahab N.I.A.en_US
dc.contributor.authorManoharan P.en_US
dc.contributor.authorMahdi A.J.en_US
dc.contributor.authorRadzi M.A.B.M.en_US
dc.contributor.authorSoh A.B.C.en_US
dc.contributor.authorRidha H.M.en_US
dc.contributor.authorAlsoud A.R.en_US
dc.contributor.authorVeerasamy V.en_US
dc.contributor.authorIrudayaraj A.X.R.en_US
dc.contributor.authorAlemu B.D.en_US
dc.contributor.authorid57204805471en_US
dc.contributor.authorid24448826700en_US
dc.contributor.authorid57191413142en_US
dc.contributor.authorid39262098300en_US
dc.contributor.authorid57202803173en_US
dc.contributor.authorid35777004900en_US
dc.contributor.authorid59513348300en_US
dc.contributor.authorid55711826000en_US
dc.contributor.authorid57201719362en_US
dc.contributor.authorid57216703079en_US
dc.contributor.authorid57222297612en_US
dc.date.accessioned2025-03-03T07:47:45Z
dc.date.available2025-03-03T07:47:45Z
dc.date.issued2024
dc.description.abstractThis paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in the system has an undesirable impact on the stability of MG frequency. As a result, it leads to a weakening of the MGs overall performance. A novel fractional derivative virtual inertia is integrated into the VIC loop to address this issue. This enhancement aims to fortify the MG's stability and robust performance, particularly when facing contingencies. Furthermore, a modified demand response controller has been incorporated into the proposed inertia control technique to mitigate the frequency fluctuations and reduce stress on the energy storage system (ESS). Fractional Order Proportional Integral Derivative (FOPID) controllers have been employed to regulate the active power output of the biodiesel generators and the Geothermal station in the MG. The hybrid sparrow search and mountain gazelle optimizer algorithm (SSAMGO) optimizes the parameters for the three-loop controller. Time-domain simulations assess the effectiveness of proposed controllers in enhancing system frequency stability. SSAMGO's performance was comprehensively evaluated, comparing it to various optimization algorithms in diverse scenarios. The results obtained from the MMG system demonstrate that utilizing the proposed controller technique, optimized with hybrid SSAMGO parameters, yields notable improvements in settling time by 24.68%, 46.20%, 7.52%, and 61.01%, steady-state error values by 72.56%, 98.18%, 98.73%, and 6.67%, undershoot by 105.76%, 144.23%, 19.23%, and 7.69% compared to other state-of-the-art algorithms presented in the literature. Finally, the proposed control technique's effectiveness and robustness are assessed in comparison to conventional inertia control across various system scenarios. These scenarios encompass random load demand fluctuations, real-time changes in RES, and a wide spectrum of system operations, including situations with reduced damping and inertia and high levels of load variation. ? 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2024.3376468
dc.identifier.epage45903
dc.identifier.scopus2-s2.0-85188456588
dc.identifier.spage45879
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85188456588&doi=10.1109%2fACCESS.2024.3376468&partnerID=40&md5=dd05a7fe5f9b82136ad21fedd9d15ee7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37126
dc.identifier.volume12
dc.pagecount24
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.subjectElectric control equipment
dc.subjectElectric frequency control
dc.subjectElectric load management
dc.subjectElectric power system control
dc.subjectFrequency domain analysis
dc.subjectOptimization
dc.subjectPress load control
dc.subjectProportional control systems
dc.subjectTime domain analysis
dc.subjectTwo term control systems
dc.subjectDemand response
dc.subjectDemand response control
dc.subjectFluctuation
dc.subjectFrequency control
dc.subjectHOMER
dc.subjectHybrid optimization algorithm
dc.subjectLoad management
dc.subjectLoad-frequency control
dc.subjectMicrogrid
dc.subjectMicrogrid systems
dc.subjectPower systems stability
dc.subjectRenewable energy source
dc.subjectResponse control
dc.subjectStability analyze
dc.subjectSteady state
dc.subjectSystems operation
dc.subjectTime-domain analysis
dc.subjectTime-frequency Analysis
dc.subjectVirtual inertia control
dc.subjectControllers
dc.titleA Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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