Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles

YUAN Tiejiang; JI Li; TIAN Xueqin; LI Guofeng

doi:10.7500/AEPS20220530002

您当前的位置：

首页 >

文章列表页 >

Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles

Power Energy Transition for Carbon Emission Peak and Carbon Neutrality | 更新时间：2025-06-16

- Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles
- Automation of Electric Power Systems Vol. 47, Issue 5, Pages: 16-25(2023)
- 作者机构：
  
  1.大连理工大学电气工程学院，辽宁省大连市 116024
  2.国网经济技术研究院有限公司，北京市 102209
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China(5400-202228170A-1-1-ZN)
- DOI：10.7500/AEPS20220530002
  CLC：
- Received：30 May 2022，
  
  Revised：2022-09-19，
  
  Published Online：12 January 2023，
  
  Published：10 March 2023
- 稿件说明：
移动端阅览
袁铁江,计力,田雪沁等.考虑燃料电池汽车加氢负荷的电-氢系统协同优化运行[J].电力系统自动化,2023,47(5):16-25.

YUAN Tiejiang,JI Li,TIAN Xueqin,et al.Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles[J].Automation of Electric Power Systems,2023,47(5):16-25.
袁铁江,计力,田雪沁等.考虑燃料电池汽车加氢负荷的电-氢系统协同优化运行[J].电力系统自动化,2023,47(5):16-25. DOI： 10.7500/AEPS20220530002.

YUAN Tiejiang,JI Li,TIAN Xueqin,et al.Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles[J].Automation of Electric Power Systems,2023,47(5):16-25. DOI： 10.7500/AEPS20220530002.

摘要

在建设新型电力系统背景下，为提高能源利用率，降低交通系统碳排放，促进配电网与交通网络融合，考虑燃料电池汽车加氢行为影响下负荷时空分布特性，构建计及燃料电池汽车交通流量与加氢行为的优化调度模型。首先，采用起止点对刻画燃料电池汽车交通流量模型，为模拟燃料电池汽车出行，采用Dijkstra算法搭建燃料电池汽车最短加氢路径模型。其次，针对可再生能源出力不确定性

基于Wasserstein距离建立风电功率预测误差模糊集，考虑电力-交通网络约束，并构建含加氢站优化调度的分布鲁棒优化模型。最后，利用强对偶理论将分布鲁棒优化模型转化为混合整数线性规划模型进行求解，采用改进的33节点配电网和24节点交通网对调度方法进行验证。结果表明，所提方法相比于鲁棒优化系统总成本有所降低，加氢站调度方案在保守和乐观之间达到平衡，实现加氢站与上级网络之间良性互动。

Abstract

In order to improve the energy utilization

reduce the carbon emission of transportation systems and promote the integration of integrated energy systems and transportation network in the background of building a new power system

the optimal dispatching model of traffic flow of fuel cell vehicles and hydrogen refueling behavior is constructed by considering the spatial and temporal distribution characteristics of load under the influence of hydrogen refueling behavior of fuel cell vehicles. Firstly

the origination-destination pair is used to portray the traffic flow model of fuel cell vehicles

and the Dijkstra algorithm is used to build the shortest hydrogen refueling path model for fuel cell vehicles to simulate the travel of fuel cell vehicle. Then

aiming at the uncertainties of renewable energy output

the fuzzy set of predicted errors for wind power is developed based on Wasserstein distance. And considering the constraints of power distribution networks and transportation networks

the distributionally robust optimization model considering the optimal dispatching of hydrogen refueling stations is developed. Finally

the distributionally robust optimization model is transformed into a mixed-integer linear programming model by using strong pairwise theory

and the scheduling method is validated by using the improved 33-bus distribution network and 24-bus traffic network. The results show that the total cost of the proposed method is reduced compared with the robust optimization system

and the scheduling scheme of hydrogen refueling stations achieves the balance between conservativeness and optimism

and realizes the positive interaction between hydrogen refueling stations and the higher-level network.

关键词

Keywords

references

潘光胜，顾伟，张会岩，等 . 面向高比例可再生能源消纳的电氢能源系统［J］. 电力系统自动化， 2020 ， 44 （ 23 ）： 1 - 10 .

PAN Guangsheng ， GU Wei ， ZHANG Huiyan ， et al . Electricity and hydrogen energy system towards accomodation of high proportion of renewable energy ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 23 ）： 1 - 10 .

氢能产业发展中长期规划（ 2021 ― 2035 年）［EB/OL］.［ 2022-03-23 ］. http：//zfxxgk.nea.gov.cn/2022-03/23/c_1310525630.htm http://zfxxgk.nea.gov.cn/2022-03/23/c_1310525630.htm .

Medium and long-term plan for the development of hydrogen energy industry （ 2021 — 2035 ）［EB/OL］. ［ 2022-03-23 ］. http：//zfxxgk.nea.gov.cn/2022-03/23/c_1310525630.htm http://zfxxgk.nea.gov.cn/2022-03/23/c_1310525630.htm .

TAO Y C ， QIU J ， LAI S Y ， et al . Collaborative planning for electricity distribution network and transportation system considering hydrogen fuel cell vehicles ［J］. IEEE Transactions on Transportation Electrification ， 2020 ， 6 （ 3 ）： 1211 - 1225 .

董朝阳，赵俊华，文福拴，等 . 从智能电网到能源互联网：基本概念与研究框架［J］. 电力系统自动化， 2014 ， 38 （ 15 ）： 1 - 11 .

DONG Zhaoyang ， ZHAO Junhua ， WEN Fushuan ， et al . From smart grid to Energy Internet： basic concept and research framework ［J］. Automation of Electric Power Systems ， 2014 ， 38 （ 15 ）： 1 - 11 .

王辉，王贵斌，赵俊华，等 . 考虑交通网络流量的电动汽车充电站规划［J］. 电力系统自动化， 2013 ， 37 （ 13 ）： 63 - 69 .

WANG Hui ， WANG Guibin ， ZHAO Junhua ， et al . Optimal planning for electric vehicle charging stations considering traffic network flows ［J］. Automation of Electric Power Systems ， 2013 ， 37 （ 13 ）： 63 - 69 .

XIE S W ， HU Z J ， WANG J Y . Two-stage robust optimization for expansion planning of active distribution systems coupled with urban transportation networks ［J］. Applied Energy ， 2020 ， 261 ： 114412 .

LI Y B ， ZHANG F ， LI Y ， et al . An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties ［J］. Energy ， 2021 ， 223 ： 120048 .

左逢源，张玉琼，赵强，等 . 计及源荷不确定性的综合能源生产单元运行调度与容量配置两阶段随机优化［J］. 中国电机工程学报， 2022 ， 42 （ 22 ）： 8205 - 8214 .

ZUO Fengyuan ， ZHANG Yuqiong ， ZHAO Qiang ， et al . Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated energy production unit considering supply and demand uncertainty ［J］. Proceedings of the CSEE ， 2022 ， 42 （ 22 ）： 8205 - 8214 .

LIU X C ， SOH C B ， ZHAO T Y ， et al . Stochastic scheduling of mobile energy storage in coupled distribution and transportation networks for conversion capacity enhancement ［J］. IEEE Transactions on Smart Grid ， 2021 ， 12 （ 1 ）： 117 - 130 .

张津珲，王旭，蒋传文，等 . 计及交通流量不确定性的多网耦合综合能源系统优化调度方法［J］. 电网技术， 2019 ， 43 （ 9 ）： 3081 - 3093 .

ZHANG Jinhui ， WANG Xu ， JIANG Chuanwen ， et al . Optimal scheduling method of multi-network regional integrated energy system based on traffic flow uncertainty ［J］. Power System Technology ， 2019 ， 43 （ 9 ）： 3081 - 3093 .

张亚超，郑峰，舒胜文，等 . 考虑多重不确定性的电-气-交通网络耦合系统数据驱动鲁棒优化调度［J］. 中国电机工程学报， 2021 ， 41 （ 13 ）： 4450 - 4462 .

ZHANG Yachao ， ZHENG Feng ， SHU Shengwen ， et al . A data-driven robust optimization scheduling of coupled electricity-gas-transportation systems considering multiple uncertainties ［J］. Proceedings of the CSEE ， 2021 ， 41 （ 13 ）： 4450 - 4462 .

ZHANG H C ， HU Z C ， SONG Y H . Power and transport nexus： routing electric vehicles to promote renewable power integration ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 4 ）： 3291 - 3301 .

江岳文，杨国铭，朱振山 . 考虑交通流量捕获的风-氢-电耦合网络规划［J］. 电力系统自动化， 2021 ， 45 （ 22 ）： 19 - 28 .

JIANG Yuewen ， YANG Guoming ， ZHU Zhenshan . Wind-hydrogen-electricity coupled network planning considering traffic flow capture ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 22 ）： 19 - 28 .

SHAO C C ， FENG C J ， SHAHIDEHPOUR M ， et al . Optimal stochastic operation of integrated electric power and renewable energy with vehicle-based hydrogen energy system ［J］. IEEE Transactions on Power Systems ， 2021 ， 36 （ 5 ）： 4310 - 4321 .

EL-TAWEEL N A ， KHANI H ， FARAG H E Z . Hydrogen storage optimal scheduling for fuel supply and capacity-based demand response program under dynamic hydrogen pricing ［J］. IEEE Transactions on Smart Grid ， 2019 ， 10 （ 4 ）： 4531 - 4542 .

CAI G W ， KONG L G . Techno-economic analysis of wind curtailment/hydrogen production/fuel cell vehicle system with high wind penetration in China ［J］. CSEE Journal of Power and Energy Systems ， 2017 ， 3 （ 1 ）： 44 - 52 .

GAN W ， YAN M Y ， YAO W ， et al . Multi-network coordinated hydrogen supply infrastructure planning for the integration of hydrogen vehicles and renewable energy ［J］. IEEE Transactions on Industry Applications ， 2022 ， 58 （ 2 ）： 2875 - 2886 .

李鹏，韩建沛，殷云星，等 . 电转氢作为灵活性资源的微网容量多目标优化配置［J］. 电力系统自动化， 2019 ， 43 （ 17 ）： 28 - 35 .

LI Peng ， HAN Jianpei ， YIN Yunxing ， et al . Multi-objective optimal capacity configuration of microgrid with power to hydrogen as flexible resource ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 17 ）： 28 - 35 .

SUN G Z ， LI G Y ， LI P P ， et al . Coordinated operation of hydrogen-integrated urban transportation and power distribution networks considering fuel cell electric vehicles ［J］. IEEE Transactions on Industry Applications ， 2022 ， 58 （ 2 ）： 2652 - 2665 .

WU X ， QI S X ， WANG Z ， et al . Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach ［J］. Applied Energy ， 2019 ， 253 ： 113568 .

杨洪明，李明，文福拴，等 . 利用实时交通信息感知的电动汽车路径选择和充电导航策略［J］. 电力系统自动化， 2017 ， 41 （ 11 ）： 106 - 113 .

YANG Hongming ， LI Ming ， WEN Fushuan ， et al . Route selection and charging navigation strategy for electric vehicles employing real-time traffic information perception ［J］. Automation of Electric Power Systems ， 2017 ， 41 （ 11 ）： 106 - 113 .

Roads United States Bureau of Public . Traffic assignment manual for application with a large， high speed computer ［M］. USA ： Bureau of Public Roads， Office of Planning， Urban Planning Division ， 1964 .

卢少平，应黎明，王霞，等 . 基于用户出行模拟的电动汽车快充站负荷预测及其优化调度［J］. 电力建设， 2020 ， 41 （ 11 ）： 38 - 48 .

LU Shaoping ， YING Liming ， WANG Xia ， et al . Charging load prediction and optimized scheduling of electric vehicle quick charging station according to user travel simulation ［J］. Electric Power Construction ， 2020 ， 41 （ 11 ）： 38 - 48 .

赵会茹，王学杰，李兵抗，等 . 考虑能量共享的多社区光储系统分布鲁棒优化调度［J］. 电力系统自动化， 2022 ， 46 （ 9 ）： 21 - 31 .

ZHAO Huiru ， WANG Xuejie ， LI Bingkang ， et al . Distributionally robust optimal dispatch for multi-community photovoltaic and energy storage system considering energy sharing ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 9 ）： 21 - 31 .

MOHAJERIN ESFAHANI P ， KUHN D . Data-driven distributionally robust optimization using the Wasserstein metric： performance guarantees and tractable reformulations ［J］. Mathematical Programming ， 2018 ， 171 （ 1/2 ）： 115 - 166 .

孙晶琪，王愿，郭晓慧，等 . 考虑环境外部性和风光出力不确定性的虚拟电厂运行优化［J］. 电力系统自动化， 2022 ， 46 （ 8 ）： 50 - 59 .

SUN Jingqi ， WANG Yuan ， GUO Xiaohui ， et al . Optimal operation of virtual power plant considering environmental externality and output uncertainty of wind and photovoltaic power ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 8 ）： 50 - 59 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Decentralized Coordinated Dispatch of Electricity-Carbon Considering Impacts of Bi-level Carbon Emission Trading Market

计及抢修人员调度的配电网信息-物理协同恢复策略

Resilience Enhancement of Integrated Energy Systems Under Extreme Ice and Snow Disasters Considering Thermal Inertia

Dual-data-model-driven Distributionally Robust Optimal Scheduling of Renewable Energy Microgrid

Related Author

LIN Yujie

XIONG Houbo

LIN Yumian

SHI Haojie

SUN Fengzhou

GUO Chuangxin

ZHANG Haochen

CHEN Chen

Related Institution

College of Electrical Engineering, Zhejiang University

Economic and Technology Power Research Institute of State Grid, Fujian Electric Power Co., Ltd.

Polytechnic Institute, Zhejiang University

State Grid Jilin Electric Power Co., Ltd.

⁰