This article addresses the selection of electricity generation technologies for a decentralised electricity generation system based on local renewable sources for a rural area of a developing country (six municipalities in Western Honduras). In this work, rather than designing a high-reliable electricity generation system with high-quality power, our objective is to provide the basic configuration of an energy mix for a rural area for which energy data are not of high resolution. The selection of technologies is accomplished through a non-linear integer programming model that minimises the levelised cost of electricity (LCOE). The model uses as inputs information related to the energy resources, the conversion technologies, the Honduran economic framework, the electricity demand of the study area, and the energy storage cost. The evaluated energy resources are solar, wind, and local biomass, while the electricity generation technologies considered include solar photovoltaics, wind turbines, biomass direct combustion with a steam turbine, and biomass gasification with a gas engine. Three different case studies were proposed as functions of power capacity: off-grid, mini-grid, and grid-connected. For each case study, the model outputs are the electricity supply share for each technology, the LCOE, and the number of power plants with the respective power capacity required to satisfy the electricity demand of the study area. This work can serve as a reference for preliminary feasibility studies of electrification projects based on renewable energy sources for other rural areas in Honduras or in other developing countries.