Energy scheduling and economic assessment of a rural microgrid using two-stage stochastic framework

This paper presents a rigorous technical evaluation of an integrated multi-energy microgrid system engineered to tackle the intricate challenge of ensuring dependable renewable energy provision in geographically isolated areas. The investigation is centered on the empirical case of Bilaput village situated in Dist.-Koraput, Odisha, India. The proposed microgrid seamlessly amalgamates solar photovoltaic (SPV) arrays, energy storage systems, and a biomass gasifier unit to establish a dynamic equilibrium between power generation and consumption, thus rendering an adaptive and robust energy supply mechanism for both residential and commercial loads. By orchestrating the interaction between electrical and thermal domains through a gasifier-based combined heat and power generation facility (CHP), the microgrid blueprint provides an important avenue for catering to the energy requisites of remote societies. The optimal orchestration of microgrid operations is realized through an intricate multi-energy dispatch framework and modeled as a complex mixed-integer non-linear programming (MINLP) paradigm. In recognition of the stochastic nature of pertinent variables, such as solar irradiation, ambient temperature, and load dynamics, a dual-tier stochastic programming framework is incorporated to encapsulate real-time unpredictabilities.