Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2245
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dc.contributor.authorGuru, Pragya-
dc.contributor.authorMalik, Nitin-
dc.contributor.authorMahapatra, Sheila-
dc.date.accessioned2023-12-09T08:56:02Z-
dc.date.available2023-12-09T08:56:02Z-
dc.date.issued2019-
dc.identifier.citationpp. 22-26en_US
dc.identifier.isbn9781728120683-
dc.identifier.isbn9781728120690-
dc.identifier.urihttps://doi.org/10.1109/RDCAPE47089.2019.8979020-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2245-
dc.description.abstractThe rapidly increasing demand for electrical power and difficulties in providing the same using traditional power generating sources provide a motivation to integrate distributed generation (DG) into the radial distribution network. In the proposed work, the ideal arrangement of DG is investigated in IEEE standard 33-bus radial distribution network for minimizing network power losses and simultaneous node voltage profile upgradation. The load model chosen is constant complex power. The power flow solution with DG incorporated is computed using the Newton-Raphson algorithm under normal loading conditions. The optimal positioning and power rating of DG are computed by particle swarm optimization approach. The methodology proposed is verified by comparing it with the loss sensitivity method and the analytical method. The significantly reduced network power losses and significant improvement in node voltages is observed which shows the efficacy of the methodology proposed. © 2019 IEEE.en_US
dc.language.isoenen_US
dc.publisher2019 3rd International Conference on Recent Developments in Control, Automation and Power Engineering, RDCAPE 2019en_US
dc.subjectDistributed Generationen_US
dc.subjectNewton-Raphsonen_US
dc.subjectOptimal Positioningen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectRadial Distribution Networken_US
dc.titleOptimal Allocation of Distributed Generation For Power Loss Minimization Using Pso Algorithmen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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