Technical-ecological optimization of the operation of a multi-source electrical system injecting into a distribution network using homer software and genetic algorithms

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AuteurOLOULADE, AROUNA
AuteurMOUKENGUE IMANO, ADOLPHE
AuteurFIFATIN, FRANCOIS XAVIER
AuteurOUSSOU, ROMAIN AGOSSOU
AuteurGANYE, AMEDEE
AuteurAGBOMAHENA, BIENVENU MACAIRE
AuteurVIANOU, ANTOINE
AuteurBADAROU, RAMANOU
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2020
ResumeThis work consisted in positioning and sizing a photovoltaic solar power plant with or without storage in an existing hybrid system consisting of a Diesel power plant, a hydroelectric power plant and an infinite network. Genetic algorithms and Homer software inspire the tools used. The objectives of this study are the minimization of losses, voltage deviations, greenhouse gases and the cost of energy distributed to the customer. From this study, it emerges that the optimal hybrid system is that consisting of 2.11 MW photovoltaic (1.71 MW at node 169 and 0.4 MW at node 110), 1 MW hydroelectricity, 4 MW Diesel and 1 MW Network. Greenhouse gas emissions have improved by 20.96% and the cost of hybrid energy has dropped from 166 FCFA to 120 FCFA, a decrease of 28.75%.
DOI10.1109/PowerAfrica49420.2020.9219833
Autre identifiantBECDB-12847
URIhttps://dspace.uac.bj/handle/123456789/11076
Languefr
Fait partie deIEEE
SujetDecentralized sources
SujetGenetic algorithms
Sujetgreenhouse gas
SujetHomer software
SujetMicro-production of renewable energy
TitreTechnical-ecological optimization of the operation of a multi-source electrical system injecting into a distribution network using homer software and genetic algorithms
TypeArticle

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