Optimal sizing of the generation mix of distributed renewable resources for minimizing grid interchange

Climate change constitutes a major contemporary challenge for society. The transition to sustainable energy systems is essential for mitigating its adverse impacts. Renewable resources are critical for reducing greenhouse gas emissions and fostering climate resilience. This study introduces an iterative multivariable method for optimal sizing of the generation mix in distributed renewable resources. The objective is to minimize energy grid interchange. This represents an initial step toward achieving grid disconnection through the synergy of photovoltaic, wind, biogas, and hydropower sources, while considering each technology’s technical constraints. The methodology includes a pre-design stage for renewable plants, resource allocation across various scenarios, and optimization of generation mix sizing. Case study results for a rural village in eastern Spain demonstrate the feasibility of achieving grid disconnection. The proposed method offers a straightforward, replicable tool for energy system planning, suitable for isolated areas common in developing countries and regions with unreliable grid connectivity.