Hybrid Renewable Energy Systems (HRESs) have proven to be viable solutions for rural electrification. They not only electrify rural locations but also provide environmentally sustainable, secure, and affordable energy if optimized. These systems can best be described as generators of electricity from multiple energy sources that complement each other. Optimized HRESs often generate affordable electricity by minimizing the levelized cost of electricity (LCOE) and carbon emissions. The investigation of social benefit factors within energy poverty is a relatively new discussion in the study of modeling off-grid energy systems. In this perspective article, we examine the importance of computational tools for the energy transition of rural and remote communities. We show that classical and heuristic models possess the capability of optimizing hybrid renewable energy systems considering social parameters including health, education, and income. This is followed by a discussion about the potential changes these computational tools would need to go through to integrate interdisciplinary factors and address societal transformations. The essence of this paper showcases the influx of literature about this topic; additionally, we look beyond the traditional optimization approaches to disclose that new contributions are evolving based on both current and potential needs within society.

Microgrids constitute an attractive solution for the electrification of areas where grid extension is not technically feasible or prohibitively expensive. In recent years, national governments have implemented various support policies to encourage the deployment of renewable energy systems (RES) and microgrid hybrid-powered systems. A fundamental aspect during the design and disposition of these types of units is the determination of the optimal configuration and sizing of each power generation component. Furthermore, the optimal design of microgrids is strongly dependent on technological parameters, local meteorological conditions, among other factors. In this context, this paper investigates the effects of different policy measures on the optimal configuration of microgrids functioning in islanded mode. A computable model is employed to carry out a set of sensitivity analyses and assess the impact of capital and fuel subsidies on the levelized cost of electricity of various systems. The model employed for this study minimizes the total life cycle costs (TLCC) over the 20-year lifetime of the microgrid project. Besides, as meteorological conditions are crucial parameters to consider while designing microgrids, a sensitivity analysis is conducted to examine the effect of wind speed and solar irradiation on the capacities of each distributed generation units. Our results indicate that capital subsidies, as well as fuel price variations, have a substantial effect on the final design of microgrid systems for rural electrification.