This paper investigates the optimization of Hybrid Renewable Energy Systems (HRES) for rural electrification, addressing the critical need for sustainable and affordable energy access in remote areas. We propose a novel approach integrating Multi-Criteria Decision-Making (MCDM) techniques with an enhanced Whale Optimization Algorithm (WOA) to determine the optimal HRES configuration. The objective function considers technical, economic, and environmental factors, including Levelized Cost of Energy (LCOE), Net Present Cost (NPC), renewable energy fraction (REF), and greenhouse gas emissions. A case study is presented for a rural community in India, utilizing HOMER Pro for initial simulation and the enhanced WOA for subsequent optimization. Results demonstrate the superior performance of the proposed method compared to conventional approaches, achieving significant reductions in LCOE and emissions while ensuring reliable power supply. This research contributes to the advancement of sustainable energy solutions for rural communities, fostering economic development and environmental stewardship.