Optimal Dispatching of Combined Heat and Power System Considering the Power Demand Elasticity of Hydrogen Storage Active Load

被引:15
作者
Lin, Li [1 ]
Zheng, Xinyao [1 ]
Gu, Jia [2 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[2] Schneider Elect Informat Technol China Co Ltd, Shanghai 200120, Peoples R China
基金
国家重点研发计划;
关键词
Hydrogen; Hydrogen storage; Cogeneration; Dispatching; Batteries; Thermal loading; Electrochemical processes; Active load; elasticity of loads; hydrogen storage; optimal dispatching model; wind power accommodation; NATURAL-GAS NETWORKS; ELECTRICITY; OPERATION;
D O I
10.1109/TIA.2021.3105618
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the wide application of hydrogen storage technology in the integrated energy system, the advantages of multienergy complementation on the load side are becoming obvious. In order to fully explore the elasticity of multienergy complementation to optimize system operation, this article incorporates hydrogen storage active load (HS-AL) into the combined heat and power system (CHPS) and analyzes its optimal operation mechanism. By analyzing the operating characteristics of hydrogen storage and the integrated demand response of terminal electric and thermal loads, the external demand elastic space of HS-AL is extracted. Then, the optimal dispatching model considering the power demand elasticity of HS-AL is established. Finally, the simulation validates the effectiveness of the proposed model. The results also show that the elasticity of HS-AL can be fully utilized to promote wind power accommodation and effectively reduce the deep regulation pressure of coal-fired power units at night. This research will provide a theoretical reference for the bidirectional coordinated optimization between HS-AL and CHPS.
引用
收藏
页码:2760 / 2770
页数:11
相关论文
共 50 条
[21]   Demand Response for Optimal Power Usage Scheduling Considering Time and Power Flexibility of Load in Smart Grid [J].
Alzahrani, Ahmad ;
Hafeez, Ghulam ;
Rukh, Gul ;
Murawwat, Sadia ;
Iftikhar, Faiza ;
Ali, Sajjad ;
Haider, Syed Irtaza ;
Khan, Muhammad Iftikhar ;
Abed, Azher M. .
IEEE ACCESS, 2023, 11 :33640-33651
[22]   Generation Planning of New Power System Considering Hydrogen Load [J].
Yuan T. ;
Sun C. ;
Tan J. ;
Wang J. .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (17) :6316-6325
[23]   Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation [J].
Erenoglu, Ayse Kubra ;
Sengor, Ibrahim ;
Erdinc, Ozan ;
Tascikaraoglu, Akin ;
Cataldo, Joao P. S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 136
[24]   Optimal Operation of a Combined Heat and Power System Considering Real-time Energy Prices [J].
Xie, Da ;
Lu, Yupu ;
Sun, Junbo ;
Gu, Chenghong ;
Li, Guojie .
IEEE ACCESS, 2016, 4 :3005-3015
[25]   Electricity-Heat-Hydrogen Modeling of Hydrogen Storage System Considering Off-Design Characteristics [J].
Xiong, Yufeng ;
Chen, Laijun ;
Zheng, Tianwen ;
Si, Yang ;
Mei, Shengwei .
IEEE ACCESS, 2021, 9 :156768-156777
[26]   Active Power Control based on Hydrogen Availability in a Storage Power Plant [J].
Ahmed, Nayeemuddin ;
Gerdun, Paul ;
Weber, Harald .
IFAC PAPERSONLINE, 2020, 53 (02) :12708-12713
[27]   A review of hydrogen generation, storage, and applications in power system [J].
Ge, Leijiao ;
Zhang, Bohan ;
Huang, Wentao ;
Li, Yuanzheng ;
Hou, Luyang ;
Xiao, Jianbo ;
Mao, Zimu ;
Li, Xiaoping .
JOURNAL OF ENERGY STORAGE, 2024, 75
[28]   Optimal planning of a hybrid system integrating of combined cooling, heat and power and energy storage resources [J].
Leng, Xiujuan ;
Sun, Xuejin ;
Xu, Jianguo ;
Huang, Wenhua .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 50
[29]   Optimization of Power Dispatch With Load Scheduling for Domestic Fuel Cell-Based Combined Heat and Power System [J].
Yao, Leehter ;
Teo, J. C. .
IEEE ACCESS, 2022, 10 :5968-5979
[30]   Combined heat and power storage planning [J].
Shang, Ce ;
Ge, Yuyou ;
Zhai, Suwei ;
Huo, Chao ;
Li, Wenyun .
ENERGY, 2023, 279