摘要
针对当前公交系统运营成本高、充电负荷集中加剧电网峰谷差的问题,提出一种基于电池老化的双源无轨电车与电网联合优化调度方法。首先,搭建交通网-电网耦合的联合优化框架,基于实时交通状态构建车辆运行能耗模型;其次,分析双源无轨电车在不同运行模式下的电池老化情况,综合考虑电池老化差异与分时电价因素,构建以最小化公交系统运行成本、优化电网运行性能为目标的联合调度模型,并采用自适应遗传算法进行求解;最后,仿真结果表明,所提方案能够充分挖掘双源无轨电车在交通-电力耦合网络中的调度潜力,在提升公交系统运营经济性的同时,改善了电网负荷曲线与运行性能,实现了双系统协同优化与互利共赢。
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.
作者
王宇轩
杨欢红
李俊
黄文焘
张卫川
王理想
WANG Yuxuan;YANG Huanhong;LI Jun;HUANG Wentang;ZHANG Weichuan;WANG Lixiang(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Key Laboratory of Control of Power Transmission and Conversion(Ministry of Education),Shanghai Jiaotong University,Shanghai 200240,China;Henan Xuji Instrument Co.,Ltd.,Xuchang 461000,China)
出处
《智慧电力》
2026年第1期47-57,共11页
Smart Power
基金
国家自然科学基金资助项目(52177100)。
关键词
双源无轨电车
电网
电池老化
联合优化
dual-source trolleybus
power grid
battery aging
joint optimization
