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Optimality sizing of hybrid electrical power plant composed of photovoltaic generator, wind generator and biogas generator

Author Affiliations

  • 1Equipe de Recherche en Sciences de l'Ingénieur (ERSI), Department of Electrical Engineering, InstitutUniversitaire de Technologie, UniversityNazi Boniof Bobo-Dioulasso, 01 BP 1091 Bobo-Dioulasso 01, Burkina Faso
  • 2Equipe de Recherche en Sciences de l'Ingénieur (ERSI), Department of Electrical Engineering, EcoleNationale Supérieure d'Ingénieurs (ENSI), University of Lomé, 01 BP 1515 Lomé 01, Lomé, Togo
  • 3Equipe de Recherche en Sciences de l'Ingénieur (ERSI), Department of Electrical Engineering, EcoleNationale Supérieure d'Ingénieurs (ENSI), University of Lomé, 01 BP 1515 Lomé 01, Lomé, Togo
  • 4Equipe de Recherche en Sciences de l'Ingénieur (ERSI), Department of Electrical Engineering, EcoleNationale Supérieure d'Ingénieurs (ENSI), University of Lomé, 01 BP 1515 Lomé 01, Lomé, Togo

Res. J. Engineering Sci., Volume 7, Issue (11), Pages 20-29, December,26 (2018)


This article propose sizing and optimization model for hybrid renewable energy plant, composed of photovoltaic generator, biogas generator, wind generator, without storage, for rural and peri-urban area decentralized electrification. Technico-economic optimization is carried out by the genetic algorithm. The Hybrid plant model developed here incorporates environmental considerations, calculating carbon dioxide emissions, before and after biogas upgrading to electricity. The simulation is performed with Ouahigouya's site characteristics, located in Sahelian zone of Burkina Faso. The simulation results give a photovoltaic field peak power of 50MW, coupled with 7MW inverter, 5 wind turbines of 7.5MW each and 3 biogas generators of 1MW each, for an electricity demand at the site of 1463 MWh per day with peaks of 182MW. The cost per kWh of electricity generated by this hybrid power plant is 0.508$. Using biogas in addition to solar energy and wind power as hybrid power station energy sources has made it possible to reduce the polluting gases and greenhouse gas emissions in a very significant way.


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