电力系统自动化2024,Vol.48Issue(17):77-87,11.DOI:10.7500/AEPS20231113002
考虑道路交通信息的双源无轨电车与电动公交车协同优化
Collaborative Optimization of Dual-source Trolleybuses and Electric Buses Considering Traffic Information
摘要
Abstract
With the dual-source trolleybus showing efficient service capability in the field of urban electric buses,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(UPTS),the deployment and scheduling of the dual-source trolleybuses and the electric buses are jointly modeled.First,an operation framework for the UPTS with the coupling of transportation network and power grid is built,and the speed model of the urban public transportation is established considering the 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 UPTS 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.The simulation results show that the proposed refined model can reduce the number of deployed vehicles and the life-cycle cost,and meet the reasonable allocation and scheduling optimization of mixed bus fleets with different sizes on the premise of completing established schedules.关键词
双源无轨电车/电动公交车/协同优化/道路交通信息/能耗差异/分时电价/生命周期成本Key words
dual-source trolleybus/electric bus/collaborative optimization/traffic information/energy consumption difference/time-of-use electricity price/life-cycle cost引用本文复制引用
杨欢红,柴磊,黄文焘,杨镇瑜,赵峰,叶婧元..考虑道路交通信息的双源无轨电车与电动公交车协同优化[J].电力系统自动化,2024,48(17):77-87,11.基金项目
国家自然科学基金资助项目(52177100) (52177100)
本文研究得到上海交通大学电力传输与功率变换控制教育部重点实验室课题资助项目(2022AA05)的帮助,特此感谢! This work is supported by National Natural Science Foundation of China(No.52177100). (2022AA05)