Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/70530
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dc.contributor.authorChatuphat Karaaomen_US
dc.contributor.authorPeerapol Jirapongen_US
dc.contributor.authorPanida Thararaken_US
dc.contributor.authorKeerachat Tantraponen_US
dc.date.accessioned2020-10-14T08:32:56Z-
dc.date.available2020-10-14T08:32:56Z-
dc.date.issued2020-03-01en_US
dc.identifier.other2-s2.0-85085028931en_US
dc.identifier.other10.1109/iEECON48109.2020.229528en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085028931&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/70530-
dc.description.abstract© 2020 IEEE. The increasing penetration of distributed generations (DGs) in distribution systems has become an important generating source for future electricity grids. However, the improper DGs installation and the imbalance between high electrical power supplies from the DGs and low customer demands can cause reverse power flow, which results in a higher system power loss. In this paper, an efficient network reconfiguration technique implemented with an optimal tie switch allocation using particle swarm optimization (PSO) is proposed to minimize the system energy loss from the excess imbalance power in distribution systems. The optimization algorithm is performed using MATLAB and DIgSILENT PowerPFactory to carry out the optimal location of the tie switch. The proposed approach is tested on a practical 22 kV distribution system from the Provincial Electricity Authority, Thailand. The simulation results show that the system energy loss can be significantly reduced from 61.02 to 36.38 MWh, with a percentage reduction of 40.38%.en_US
dc.subjectEnergyen_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.subjectPhysics and Astronomyen_US
dc.titleOptimal Allocation of Tie Switch in Distribution Systems for Energy Loss Reduction Using Particle Swarm Optimizationen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2020 8th International Electrical Engineering Congress, iEECON 2020en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsProvincial Electricity Authorityen_US
Appears in Collections:CMUL: Journal Articles

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