Performance analysis of a hybrid renewable power system with energy storage and electric vehicle integration for resilient grid operation

The main objective of this research is to optimize power generation by reducing generation costs and ensuring voltage stability across transmission lines. To accomplish this, hydro-thermal scheduling (HTS) is integrated with diverse renewable energy sources, including solar, wind, tidal energy, and electric vehicles (EVs), enabling efficient power production that aligns with load demands and reduces energy losses. With the global transition towards EV adoption and cleaner energy systems, maintaining grid stability becomes increasingly complex due to the intermittent nature of renewables like solar and wind. However, combining these sources offers complementary advantages; i.e. solar energy is available during daylight hours, whereas wind energy often continues throughout the night, providing a more balanced power supply. Tidal energy and energy storage systems (ESS) further contribute to grid reliability, despite their inherent operational challenges. Numerous studies have used traditional and meta-heuristic optimization strategies to solve hydro-thermal scheduling and hybrid renewable integration that integrates solar, wind, energy storage, and electric cars. Nevertheless, the majority of current methods take into account restricted combinations of renewable resources, simplify uncertainty modeling, or concentrate mainly on cost optimization without sufficiently addressing grid resilience and voltage stability.