Assessment of power generation alternatives through a fuzzy multiobjective mixed integer long-term planning model: Case study of non-interconnected areas of Colombia

Ana M. Rosso Cerón, Viatcheslav Kafarov, Gerardo Latorre, Yoe A. Herrera

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

This paper presents a fuzzy multiobjective mixed-integer linear programming (FMOMILP) model for the optimal long-term energy planning of a power generation system for the case study of non-interconnected areas of Colombia. The proposed model determines: the optimal planning of power generation, selecting between solar photovoltaic, biomass gasification, wind turbines, small hydro, grid extension, and diesel engines alternatives; the type of fuels; and the plant locations so as to meet the expected electricity demand, while satisfying the fuzzy objectives concerns: the minimization of the total power system cost and CO2 emissions and take into consideration design, operational, and efficiency constraints. In order to capture more accurately the spatial and technical characteristics of the problem, the underlying geographical area is divided into a number of individual sub-zones. Two real case study concerning San Andres and La Macarena energy planning problem demonstrates the applicability of the proposed approach. Finally, in the case of San Andres Island, the results indicate that the environmental objective favours the use of solar photovoltaic and wind turbines systems, while economic objective favours to continue using diesel plants. On the other hand, in the case of La Macarena, the environmental objective favours the use of small hydro, solar PV and the transmission, while the economic favours the biomass gasification.

Original languageEnglish
Title of host publicationChemical Engineering Transactions
EditorsPetar Sabev Varbanov, Jun-Yow Yong, Jiri Jaromir Klemes, Peng-Yen Liew, Hon Loong Lam
PublisherItalian Association of Chemical Engineering - AIDIC
Pages79-84
Number of pages6
Volume52
ISBN (Electronic)9788895608426
DOIs
StatePublished - 2016

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