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A Hybrid Multi-objective Integrated JAYA-Evolutionary Programming (MOIJEP) Algorithm for Under Voltage Load Shedding (UVLS) Scheme in Bulk Power System

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dc.citedby0
dc.contributor.authorShukor S.F.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorHamid Z.A.en_US
dc.contributor.authorSenthil Kumar A.V.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorSalimin R.H.en_US
dc.contributor.authorid57211412345en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid36559455000en_US
dc.contributor.authorid56888921600en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid25928749500en_US
dc.date.accessioned2025-03-03T07:46:18Z
dc.date.available2025-03-03T07:46:18Z
dc.date.issued2024
dc.description.abstractProgressing demand can lead to voltage decay in a power system which causes under-voltage phenomenon. Load shedding is a reliable last option to secure a power system from possible voltage collapse occurrence when unintended disturbance occurs. Under Voltage Load Shedding (UVLS) is one of the suitable methods to overcome further unsecure operation. This will require a reliable optimization technique to identify the most suitable locations and sizing for UVLS scheme. This paper presents a hybrid multi-objective integrated jaya-evolutionary programming (MOIJEP) algorithm for under voltage load shedding (UVLS) scheme in bulk power system. MOIJEP integrates the features in the original Jaya algorithm into the conventional Evolutionary Programming (EP). A weighted sum multi-objective which considers voltage stability index, loss and minimum voltage in the system is formulated in this study, implemented for multi-load shedding scheme. Results obtained using the proposed MOIJEP are superior to the benchmarked technique, i.e., MOIJEP when validated on the IEEE 57-Bus Reliability Test System (RTS). ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-97-3940-0_76
dc.identifier.epage696
dc.identifier.scopus2-s2.0-85198726804
dc.identifier.spage689
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85198726804&doi=10.1007%2f978-981-97-3940-0_76&partnerID=40&md5=799298d0bc06df11ea498ff78f4036a9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36979
dc.identifier.volume1208 LNEE
dc.pagecount7
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Electrical Engineering
dc.subjectComputer programming
dc.subjectElectric load shedding
dc.subjectElectric power plant loads
dc.subjectEvolutionary algorithms
dc.subjectPower quality
dc.subjectBulk power systems
dc.subjectEvolutionary and jaya algorithm
dc.subjectEvolutionary programming algorithms
dc.subjectLoad shedding scheme
dc.subjectLoad-shedding
dc.subjectMulti objective
dc.subjectMulti-objectives optimization
dc.subjectPower
dc.subjectUnder-voltage load shedding
dc.subjectUndervoltage
dc.subjectMultiobjective optimization
dc.titleA Hybrid Multi-objective Integrated JAYA-Evolutionary Programming (MOIJEP) Algorithm for Under Voltage Load Shedding (UVLS) Scheme in Bulk Power Systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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