| 计及多重阻塞的电动汽车移动储能特性建模 |
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| 引用本文： | 严浩源,赵天阳,刘晓川,丁肇豪. 计及多重阻塞的电动汽车移动储能特性建模[J]. 应用数学和力学, 2022, 43(11): 1214-1226. DOI: 10.21656/1000-0887.430303 |
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| 作者姓名： | 严浩源 赵天阳 刘晓川 丁肇豪 |
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| 作者单位： | 1.暨南大学 能源电力研究中心，广东 珠海 519070 |
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| 基金项目： | 新能源电力系统国家重点实验室开放课题（LAPS21002） |
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| 摘 要： | 为实现城市交通电力耦合系统在城市道路、充电设施、输电线路阻塞环境下的优化运行，提出了计及多重阻塞的动态交通电力流联合优化方法。首先，基于时空网络模型，提出了计及电动汽车移动、静止、充电、排队模式的队列时空网络模型，构建了适用于电动汽车的车辆调度模型，进而形成动态交通分配模型，以减少交通出行损失。其次，通过优化发电机组、储能等的出力和备用计划，计及城市电网安全、备用约束，构建了安全约束动态经济调度模型，以降低碳排放及发电成本。随后，形成多目标动态优化模型，并将其转换为混合整数凸二次规划问题。最后，在耦合IEEE-30、Sioux Falls系统中验证了所提模型的有效性。
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| 关 键 词： | 阻塞 动态交通分配 队列时空网络 城市交通电力耦合系统 |
| 收稿时间： | 2022-10-04 |
Modeling of Electric Vehicles as Mobile Energy Storage Systems Considering Multiple Congestions |
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| Affiliation: | 1.Energy and Electricity Research Center, Jinan University, Zhuhai, Guangdong 519070, P.R.China2.Energy Research Institute, Nanyang Technological University, 639798, Singapore3.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, P.R.China |
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| Abstract: | To realize the optimal operation of urban coupled transportation power systems underthe road, charging facilities, and transmission line congestions, a dynamic optimal traffic power flow (DOTPF) model was formulated under congestions. Based on the time space network (TSN) approach, a novel TSN with queues was proposed, considering the moving, parking, charging, and queueing state transitions. A vehicle routing problem was formulated for electric vehicles (EVs) and further incorporated into the dynamic traffic assignment problem (DTAP), reducing the traffic demand losses. With security and reserve constraints, a dynamic security-constrained carbon dioxide-oriented optimal power flow (OPF) problem was formulated to reduce the carbon emission and generation cost, by optimizing the scheduling of thermal units and energy storage systems. A multi-objective DOTPF problem was formulated, and further reformulated into a convex mixed-integer quadratic programming problem. The effectiveness of the proposed DOTPF was verified based on the simulation results on coupled IEEE-30 and Sioux Falls system. |
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