Collaborative Optimization of Dual-source Trolleybuses and Electric Buses Considering Road Traffic Information

With the dual-source trolleybus showing efficient service capability in the field of urban electric transportation, the coupling between transportation network and power grids is further deepened. Considering that the dual-source trolleybuses cannot completely replace the electric buses in the short term, in order to effectively dispatch the two types of vehicles and solve the problems of high life-cycle cost and large number of deployed vehicles in the current urban public transportation system, the deployment and scheduling of the dual-source trolleybuses and the electric buses are jointly modeled. First, an operation framework for the urban public transportation system with coupled transportation network and power grid is built, and the speed model of the urban public transportation is established considering the road traffic information. Then, the operation modes of different types of buses are analyzed; the bus energy consumption differences and time-of-use electricity price are comprehensively considered, the operation cost modeling is refined, and the life-cycle cost model of urban public transportation system with the goal of minimizing life-cycle cost is established and solved by the genetic algorithm. Finally, the simulation verification is conducted using data of existing dual-source trolleybus routes in Shanghai, China. Results show that the proposed refined model can reduce the number of deployed vehicles, reduce the life-cycle cost, and meet the reasonable allocation and scheduling optimization of mixed bus fleets with different sizes under the condition of completing established schedules. © 2024 Automation of Electric Power Systems Press. All rights reserved.