Using a thematic, literature-based approach, the research investigates how smart microgrids— integrating renewable energy sources such as solar with IoT technologies—can improve energy access, reliability, and cost-efficiency in underserved communities.
This study establishes and categorizes six control strategies as the primary conceptual foundation for developing control models for new microgrid applications. The control approaches mentioned are adaptive, intelligent, predictive, robust, linear, and nonlinear.
By incorporating renewable energy sources, energy storage systems, and advanced control systems, microgrids help to reduce dependence on fossil fuels and promote the use of clean and sustainable energy sources.
In this paper, a smart microgrid implemented in Paracas, Ica, Peru, composed of 6kWp PV + 6kW Wind and that provides electricity to a rural community of 40 families, was studied using a data science approach.
California, Hawaii, New Jersey, New York, Connecticut, Massachusetts and Texas score as the top states for microgrid policy activity, with Puerto Rico also listed in the top tier, according to a new report by Think Microgrid.