I Simposio de Postgrado 2023. Ingeniería, ciencias e innovación

MÓDULO_ 05 Ingeniería Eléctrica 108 Vehicle-to-Grid (V2G) policies, benefiting aggregators and EV fleets whi development of efficient and sustainable transportation systems through cost r The methodology effectively maximizes overall profits by intelligently consid and pertinent constraints. It optimizes energy consumption during taxi dow specific departure/arrival times and State of Charge (SoC) levels. Fig. 1: Optimization Model with Taxi-Specific Constraint Inpu The results show that lower nighttime tariffs are correlated with reduced op predominantly nighttime charging. Additionally, increased price variability policies facilitates energy arbitrage, leading to revenue generation. Fig. 2: Base, G2V and V In conclusion, we successfully implement considering diverse behaviors and need aggregators and EV fleets while enabling c policy flexibility and tariff options, lead contributes to the development of efficient various stakeholders in the EV ecosystem. ENERGÍA ig. 2: Base, G2V and V2G Average Monthly Costs by Tariff essfully implement an individualized approach to optimize taxi operations, behaviors and needs. Our approach enhances revenue generation for Figura 1: Optimization Model with Taxi-Specific Constraint Inputs Figura 2: Base, G2V and V2G Average Monthly Costs by Tariff ( CONTINÚA DE PÁGINA ANTERIOR )