大规模新能源汽车接入背景下的电氢能源与交通系统耦合研究综述

doi:10.16183/j.cnki.jsjtu.2021.464

摘要/Abstract

摘要：

新能源的大规模开发利用是实现“双碳”目标的重要手段.可再生能源发电耦合制氢技术在提高可再生能源消纳率的同时,加速了新能源汽车的普及.未来,电氢能源系统与交通系统的耦合将会更加密切.以大规模新能源汽车接入为背景,首先综述了电氢能源系统的发展现状,并对耦合系统制氢、出力波动平抑以及参与电力系统优化运行3种工作模式进行了介绍.在此基础上,从不同能源角度出发,分别对电力-交通耦合系统中的联合规划与优化运行研究现状以及氢能-交通耦合系统中的加氢站优化与氢能运输相关问题进行了总结分析.最后,结合当前研究中存在的瓶颈,从动态模型构建、不确定性因素影响等方面对未来可行研究方向进行了展望.

关键词: 新能源汽车, 电氢能源系统, 交通系统, 联合规划, 协同运行

Abstract:

The large-scale utilization of renewable energy is an important way to achieve the “double carbon targets”. The technology of coupled renewable energy with hydrogen system can improve the consumption rate of renewable energy and the penetration of new energy vehicles. The coupling between the electricity-hydrogen energy system and the transportation system will be even closer in the future. Based on the access of large-scale new energy vehicles, first, the development of the electricity and hydrogen energy system was summarized, and the three working modes of electricity-hydrogen coupling system including hydrogen production, output smoothing, and coordinated operation with electricity network were introduced. Then, the research status of the electricity-transportation coupling system on planning and optimal operation, and the problems of hydrogen-transportation coupling system on hydrogen refueling station optimization and hydrogen transportation were analyzed. Finally, in combination with the existing bottlenecks, the future feasible research directions such as dynamic model construction and the influence of uncertain factors were proposed.

Key words: new energy vehicles, electricity-hydrogen coupling system, transportation system, united planning, cooperation

中图分类号:

TM727
U491

李佳琪, 徐潇源, 严正. 大规模新能源汽车接入背景下的电氢能源与交通系统耦合研究综述[J]. 上海交通大学学报, 2022, 56(3): 253-266.

LI Jiaqi, XU Xiaoyuan, Yan Zheng. A Review of Coupled Electricity and Hydrogen Energy System with Transportation System Under the Background of Large-Scale New Energy Vehicles Access[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 253-266.

图/表 4

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文献编号	交通网模型		电网模型	数学模型	规划对象			规划目标
文献编号	流量型	网络均衡型	电网模型	数学模型	电网	耦合枢纽	交通网	规划目标
[73]	续航选址	×	线性化潮流模型	MILP	变电站配电线	充电站	×	耦合系统投资,运行成本最小
[74]	改进续航选址	×	ACOPF	MISOCP	变电站配电线	充电站	×	耦合系统投资,运行成本最小
[75]	×	UE	DCOPF	MPCC	×	充电站	×	耦合系统社会收益最大
[76]	×	UE	ACOPF	多目标非线性规划	变电站配电线	充电站	×	配电网投资成本,能量损耗最小充电站交通流量最大
[77]	×	UE	ACOPF	非线性规划	×	充电站	×	耦合系统投资,运行成本最小
[78]	×	UE	ACOPF	MILP	电源配电线	充电站	交通道路	耦合系统投资,运行成本最小

文献编号	网络模型		数学模型/方法	运营机制	价格信号		优化运行目标
文献编号	交通网	电网	数学模型/方法	运营机制	交通网	电网	交通网	电网
[79]	静态(UE)	DCOPF	MPCC	统一/独立	道路拥挤费	LMP	出行、充电成本、最小	发电成本最小
[80]	静态(UE)	ACOPF	MISOCP	统一	道路拥挤费	固定电价	出行成本、道路拥塞费最小	发电、购电成本最小
[81]	静态(UE)	ACOPF	MPCC	统一	道路拥挤费	联合优化定价	出行、充电成本、道路拥塞费最小	有功网损最小
[82]	静态(UE)	ACOPF	固定点问题	独立	×	LMP	出行、充电成本最小	发电、购电成本最小
[83]	静态(UE)	DCOPF	分布式优化	独立	×	LMP	出行、充电成本最小	发电、切负荷成本最小
[84]	静态(UE)	ACOPF	两阶段鲁棒优化	独立	×	固定电价	出行成本最小	发电成本最小
[85]	静态(SO)	ACOPF	两阶段鲁棒优化	统一	道路拥挤费	固定电价	出行成本、道路拥塞费最小	发电、购电成本最小
[86]	静态(UE)	ACOPF	随机优化	统一	×	LMP	出行、充电成本最小	发电、购电成本最小
[87]	半动态	ACOPF	MISOCP	统一	道路拥挤费	固定电价	出行成本、道路拥塞费最小	发电成本最小
[88]	动态	ACOPF	固定点问题	独立	×	LMP	出行、充电成本最小	发电、购电成本最小