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Tap Settings Optimization in Power Systems: Economic Efficiency Enhancement Through Cuckoo Search Algorithm While Ensuring Voltage Stability

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dc.citedby0
dc.contributor.authorRaizal N.I.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorIsmail S.A.en_US
dc.contributor.authorIsmail N.L.en_US
dc.contributor.authorid58745006200en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57218371054en_US
dc.contributor.authorid57190935802en_US
dc.date.accessioned2024-10-14T03:19:55Z
dc.date.available2024-10-14T03:19:55Z
dc.date.issued2023
dc.description.abstractThis paper presents an approach to enhance the economic efficiency of power systems through tap settings optimization using Cuckoo Search Algorithm (CSA), while ensuring voltage stability. With the escalating demand for electrical power, power system networks face challenges such as voltage decay, increased current flows, and energy losses. Reactive power planning, including tap settings optimization, plays a crucial role in addressing these challenges and optimizing system performance. Specifically, this study focuses on the role of on-load tap-changing transformers (OLTCs) in regulating voltage levels without interrupting the power supply. CSA is employed as an optimization technique due to its effectiveness in handling complex and nonlinear optimization problems. The objectives of the optimization process include minimizing active power losses and generation costs while maintaining voltage stability. The IEEE 26-Bus Reliability Test System (RTS) is used as a test system to demonstrate the implementation and effectiveness of the proposed approach. It has been found that CSA successfully improved the power system operation in terms of reduced active losses and generation costs compared to the non-optimal solution obtained from the power flow analysis. The results contribute to enhancing the economic efficiency of power systems and provide valuable findings for power system planning and operation. � 2023 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/IICAIET59451.2023.10291902
dc.identifier.epage163
dc.identifier.scopus2-s2.0-85178591617
dc.identifier.spage158
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85178591617&doi=10.1109%2fIICAIET59451.2023.10291902&partnerID=40&md5=e5d9f0db5b654ed58c700133af25218f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34459
dc.pagecount5
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle5th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2023
dc.subjectcuckoo search algorithm
dc.subjectmetaheuristic
dc.subjectpower systems
dc.subjectreactive power planning
dc.subjecttap settings
dc.subjectCost benefit analysis
dc.subjectEconomic efficiency
dc.subjectElectric load flow
dc.subjectElectric power system planning
dc.subjectEnergy dissipation
dc.subjectLearning algorithms
dc.subjectNonlinear programming
dc.subjectReactive power
dc.subjectCuckoo search algorithms
dc.subjectEconomic efficiency
dc.subjectGeneration cost
dc.subjectLoss costs
dc.subjectMetaheuristic
dc.subjectOptimisations
dc.subjectPower
dc.subjectPower system
dc.subjectReactive power planning
dc.subjectTap setting
dc.subjectTaps
dc.titleTap Settings Optimization in Power Systems: Economic Efficiency Enhancement Through Cuckoo Search Algorithm While Ensuring Voltage Stabilityen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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