To address the issues of high operational costs in current bus systems and the intensified peak-valley difference in the power grid caused by concentrated charging loads
this paper proposes a joint optimal scheduling method for dual-source trolleybuses and the power grid that accounts for battery aging. First
a coupled transportation-power grid joint optimization framework is established
and a vehicle energy consumption model is constructed based on real-time traffic conditions. Second
the battery aging of dual-source trolleybuses under different operating modes is analyzed. Considering both the variations in battery aging and time-of-use electricity prices
a joint scheduling model is developed with the objectives of minimizing the bus system's operational costs and optimizing the power grid's performance. This model is solved using an adaptive genetic algorithm. Finally
simulation results demonstrate that the proposed scheme can fully exploit the scheduling potential of dual-source trolleybuses within the coupled transportation-power grid network. It not only enhances the operational economy of the bus system but also improves the power grid's load profile and operational performance
achieving synergistic optimization and mutual benefits for both systems.