Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51577
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dc.contributor.authorP. Saraisuwanen_US
dc.contributor.authorP. Jirapongen_US
dc.contributor.authorA. Kalankulen_US
dc.contributor.authorS. Premrudeepreechacharnen_US
dc.date.accessioned2018-09-04T06:04:29Z-
dc.date.available2018-09-04T06:04:29Z-
dc.date.issued2012-12-01en_US
dc.identifier.other2-s2.0-84876856155en_US
dc.identifier.other10.1109/ICUEPES.2011.6497709en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876856155&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51577-
dc.description.abstractDistributed generations (DG) can be used to enhance power generation systems and improve distribution system efficiency. However, the installation of DG units at non-appropriate location and sizing can result in negative impacts such as an increasing in power losses and violations of system constraints. In this paper, a new DG allocation planning tool is developed for determining the optimal location and sizing of DG in practical distribution systems. The proposed planning tool is developed by writing DIgSILENT Programming Language (DPL) script in DIgSILENT PowerFactory software. The optimally placed optimal power flow (OPF) with DG is formulated as a minimization of energy losses function and a maximization of benefit to cost ratio, subjected to system constraints including real and reactive power generation, line and transformer loading, voltage profile, step voltage change, reverse power, energy losses, short circuit level, and DG operating limits. All possible locations and sizes of DG installations are evaluated and then the optimal solution is selected from the best objective function value obtained. Test results on the practical 9-bus and 437-bus distribution systems taken from Provincial Electricity Authority (PEA) of Thailand indicate that the proposed planning tool can be used to determine the optimal DG allocation without violation of system constraints. © 2011 IEEE.en_US
dc.subjectEnergyen_US
dc.titleAllocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailanden_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings of the 2011 International Conference and Utility Exhibition on Power and Energy Systems: Issues and Prospects for Asia, ICUE 2011en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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