Low voltage cable path optimization using hightower’s algorithm and simulated annealing algorithm

dc.contributor.authorSamarakkody, PH
dc.contributor.authorGeethisha, LPR
dc.contributor.authorNanayakkara, VD
dc.contributor.authorRodrigo, AS
dc.contributor.editorRathnayake, M
dc.contributor.editorAdhikariwatte, V
dc.contributor.editorHemachandra, K
dc.date.accessioned2022-10-28T07:10:34Z
dc.date.available2022-10-28T07:10:34Z
dc.date.issued2022-07
dc.description.abstractImprovement of energy efficiency has become a major aspect in many industrial and commercial sectors to gain a competitive advantage by reducing the operational cost of the installation. But the current mandatory requirements only consider the aspects of safety, initial investment cost and other physical constraints which results in lack of encouragement in concentrating on the lifetime energy loss happening due to the heat generated in minimum cable sizes selected and the additional cost incurred due to the suboptimal placement of the distribution switchgears. This paper proposes an overall cost reduction method in both the initial capital cost and the operational cost by using a process built with the help of the Hightower’s algorithm and the simulated annealing algorithm. Here the cost reduction aspects in cable layout, cable size and distribution switchgear are considered, and a software tool based on the Python programming platform is introduced to increase the energy efficiency of the overall electrical installation. The results of the study show the positive outcomes in overall cost reduction when compared to the conventional approach used for the designing of low voltage installation distribution systems.en_US
dc.identifier.citationP. H. Samarakkody, L. P. R. Geethisha, V. D. Nanayakkara and A. S. Rodrigo, "Low Voltage Cable Path Optimization Using Hightower’s Algorithm and Simulated Annealing Algorithm," 2022 Moratuwa Engineering Research Conference (MERCon), 2022, pp. 1-6, doi: 10.1109/MERCon55799.2022.9906188.en_US
dc.identifier.conferenceMoratuwa Engineering Research Conference 2022en_US
dc.identifier.departmentEngineering Research Unit, University of Moratuwaen_US
dc.identifier.doidoi: 10.1109/MERCon55799.2022.9906188.en_US
dc.identifier.emailpunsara.samarakkody@gmail.com
dc.identifier.emailrgeethisha44@gmail.com
dc.identifier.emaildeshan.nv@gmail.com
dc.identifier.emailasankar@uom.lk
dc.identifier.facultyEngineeringen_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingProceedings of Moratuwa Engineering Research Conference 2022en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19289
dc.identifier.year2022en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.urihttps://ieeexplore.ieee.org/document/9906188/en_US
dc.subjectCable path optimizationen_US
dc.subjectCost optimizationen_US
dc.subjectEnergy efficiencyen_US
dc.subjectHightower’s algorithmen_US
dc.subjectSimulated annealingen_US
dc.titleLow voltage cable path optimization using hightower’s algorithm and simulated annealing algorithmen_US
dc.typeConference-Full-texten_US

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