Lexicographic Multi-objective Optimisation of Hybrid Power Generation Systems for Communities in Non-Interconnected Zones

Edgar Ojeda Camargo, John E. Candelo-Becerra and Alcides Santander Mercado
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Edgar Ojeda Camargo: Faculty of Engineering, Universidad de la Guajira, Riohacha, Colombia
John E. Candelo-Becerra: Department of Electrical Energy and Automation, Universidad Nacional de Colombia, Sede Medell n, Colombia,
Alcides Santander Mercado: Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia

International Journal of Energy Economics and Policy, 2019, vol. 9, issue 3, 205-217

Abstract: Energy supply applications for populations in isolated areas have great importance in reducing poverty and environmental impacts. However, rural zones not connected to power grids require more studies related to select low cost and efficient technologies suitable to each size of community. This paper presents a lexicographic multi-objective optimisation model (LMOM) to select the best renewable energy technologies (solar and wind) of hybrid power generation systems (HPGSs) for communities located in non-interconnected zones. The model prioritises objective functions such as the generation cost, emissions of carbon dioxide (CO2) and energy consumption in ton-equivalent petroleum (TEP). In addition, the model considers constraints related to the production cost, environmental sustainability, environmental conditions and reliability of the system. The results show that the model provides sustainable HPGSs adapted to the size of each community and the best renewable energy technologies are the central receiver system and the wind turbine with a 20-m tower.

Keywords: Renewable Energy; Rural Communities; Multi-objective Optimization (search for similar items in EconPapers)
JEL-codes: C61 Q42 (search for similar items in EconPapers)
Date: 2019
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