Publication:
Heuristic Iteration Approach for Load and Voltage Optimization in Single-Phase Distribution Systems at Three-Phase Transformers

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dc.citedby0
dc.contributor.authorYustika L.M.en_US
dc.contributor.authorAfdholy G.R.en_US
dc.contributor.authorSitohang N.S.en_US
dc.contributor.authorid57219289168en_US
dc.contributor.authorid59547876200en_US
dc.contributor.authorid58221859900en_US
dc.date.accessioned2025-03-03T07:44:52Z
dc.date.available2025-03-03T07:44:52Z
dc.date.issued2024
dc.description.abstractLoad and voltage imbalances in single-phase low-voltage distribution systems are persistent challenges that often lead to increased neutral cur-rents, power losses, and equipment degradation. This paper introduces the Heuristic Deviation Percentage Iteration (HDPI) method as a novel approach to ef-fectively mitigate these issues. The HDPI method leverages 24-hour load data to iteratively redistribute imbalances between phases, achieving significant re-ductions in neutral currents and power losses while improving phase balance. A case study conducted on a distribution network in Indonesia demonstrates the method's effectiveness, achieving a reduction in phase imbalance from 13.44% to 3.75%, reducing neutral currents by up to 68%, and decreasing power losses by 45%. The methodology is computationally efficient, cost-effective, and designed for seamless integration with existing infrastructure, making it suitable for deployment in developing regions. This paper also explores the potential for integrating real-time IoT-based dynamic balancing solutions to enhance scala-bility and adaptability in complex grid systems. These findings underscore the HDPI method's potential to serve as a practical, scalable, and economical solution for improving the operational reliability and efficiency of distribution networks worldwide. ? 2024 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/DASA63652.2024.10836324
dc.identifier.scopus2-s2.0-85217220567
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85217220567&doi=10.1109%2fDASA63652.2024.10836324&partnerID=40&md5=f4c30fdd02c8129571f44a23601924ea
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36814
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2024 International Conference on Decision Aid Sciences and Applications, DASA 2024
dc.subjectDC distribution systems
dc.subjectHeuristic methods
dc.subjectPower distribution networks
dc.subjectCurrent reduction
dc.subjectIteration method
dc.subjectLoad-Balancing
dc.subjectLosses optimisation
dc.subjectLow Voltage distribution system
dc.subjectNeutral current reduction
dc.subjectNeutral currents
dc.subjectPhase imbalances
dc.subjectPower loss optimization
dc.subjectPowerloss
dc.subjectDistribution transformers
dc.titleHeuristic Iteration Approach for Load and Voltage Optimization in Single-Phase Distribution Systems at Three-Phase Transformersen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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