Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6741
Title: Comparison of various self adaptive algorithms for loss minimization in distribution network incorporated using renewable energy sources for various loads [articol]
Authors: Babu, M. Arumuga
Mahalakshmi, R.
Rengaraj
Subjects: Polynomial mutation
Economic dispatch
Distribution generators (DG)
Issue Date: 2019
Publisher: Timișoara : Editura Politehnica
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.
Series/Report no.: ;Vol 19 No 5
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.
URI: https://dspace.upt.ro/xmlui/handle/123456789/6741
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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