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Comparison of various self adaptive algorithms for loss minimization in distribution network incorporated using renewable energy sources for various loads [articol]

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dc.contributor.author Babu, M. Arumuga
dc.contributor.author Mahalakshmi, R.
dc.contributor.author Rengaraj
dc.date.accessioned 2024-10-09T09:12:17Z
dc.date.available 2024-10-09T09:12:17Z
dc.date.issued 2019
dc.identifier.citation Babu, M. Arumuga; Mahalakshmi, R.; Rengaraj. Comparison of various self adaptive algorithms for loss minimization in distribution network incorporated using renewable energy sources for various loads. Timişoara: Editura Politehnica, 2019. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6741
dc.description.abstract In this, a correlation is made between the distribution generators, self-adaptive real-coded genetic algorithm (SARGA) and is consummated to settle the economic dispatch (ED) problem . The self adaptation is attained through tactics of tournament culling onward including simulated binary crossover (SBX). The excerpt proceeding has a dynamism expedition competence by devise combats betwixt two explication. The improved elucidation is conscript and implanted in the copulate puddle dominate to an absolute confluence and diminished reckoning concern. The population assortment is imported by composing handling of distribution index in SBX operator to conceive a better offspring. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries ;Vol 19 No 5
dc.subject Polynomial mutation en_US
dc.subject Economic dispatch en_US
dc.subject Distribution generators (DG) en_US
dc.title Comparison of various self adaptive algorithms for loss minimization in distribution network incorporated using renewable energy sources for various loads [articol] en_US
dc.type Article en_US


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