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Takagi-Sugeno fuzzy gain controller for Vehicle-to-Grid (V2G) load frequency control

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dc.citedby0
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorNagi F.en_US
dc.contributor.authorPermal N.en_US
dc.contributor.authorRamasamy A.A.en_US
dc.contributor.authorAzwin A.en_US
dc.contributor.authorid26423183000en_US
dc.contributor.authorid56272534200en_US
dc.contributor.authorid56781496300en_US
dc.contributor.authorid16023154400en_US
dc.contributor.authorid57201882059en_US
dc.date.accessioned2025-03-03T07:41:23Z
dc.date.available2025-03-03T07:41:23Z
dc.date.issued2024
dc.description.abstractLoad Frequency Control (LFC) has gained more importance with the introduction of deregulated Renewable Energy Sources (RES) connectivity with the grid. Electrical Vehicles (EVs) can feed electricity back into the grid in Vehicle-to-Grid (V2G) mode to maintain stability. However, the increasing number of EVs penetrating the grid causes frequency instability in the power system. If required, EVs may utilize bi-directional chargers to transfer power back to the grid in the V2G mode while they are charging or in a grid-connected state, restoring the frequency instability of the grid. The frequency restoration response time is important to reset the grid frequency fluctuations in the shortest time possible to avoid shutting down the power system. This paper presents a Takagi-Sugeno (T-S) fuzzy linear output controller for LFC in two-area systems with tie-line control. This work models EV batteries as a single lump of large-capacity battery energy storage systems. The EV's battery system provides ancillary power to the two-area power system to reset it to a steady state after a load disturbance. The T-S fuzzy controller's linear output dependency on its inputs enables it to respond efficiently to load variations in the nonlinear two-area power systems. The proposed controller parameters are evaluated from stability analyses and its robustness is tested with sensitivity analysis. It is compared with other fuzzy controllers, and it demonstrates a fast-settling time and reduced frequency deviation response. ? 2024en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo200150
dc.identifier.doi10.1016/j.sasc.2024.200150
dc.identifier.scopus2-s2.0-85206204630
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85206204630&doi=10.1016%2fj.sasc.2024.200150&partnerID=40&md5=346bdc9f66f25b7d95b18f4f6ba8dd6d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36107
dc.identifier.volume6
dc.publisherAcademic Pressen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleSystems and Soft Computing
dc.subjectBode diagrams
dc.subjectControl system stability
dc.subjectElectric load management
dc.subjectElectric power system stability
dc.subjectFast charging (Batteries)
dc.subjectFrequency stability
dc.subjectFuzzy control
dc.subjectGeophysical prospecting
dc.subjectInvariance
dc.subjectLumped parameter networks
dc.subjectRobustness (control systems)
dc.subjectSailing vessels
dc.subjectVehicle-to-grid
dc.subjectBattery lumped model
dc.subjectEuler solver
dc.subjectImplicit euler solver
dc.subjectLoad-frequency control
dc.subjectLumped models
dc.subjectPower
dc.subjectTakagi-Sugeno fuzzy controllers
dc.subjectTie-line controls
dc.subjectVehicle to Grid (V2G)
dc.subjectVehicle-to-grid (V2G)
dc.subjectSensitivity analysis
dc.titleTakagi-Sugeno fuzzy gain controller for Vehicle-to-Grid (V2G) load frequency controlen_US
dc.typeArticleen_US
dspace.entity.typePublication
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