Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products

作     者：Jiamei Zhang Kai Sun Canbing Li Hui Liu Wentao Huang Bin Zhou Xiaochao Hou 

作者机构：College of Electrical and Information EngineeringHunan UniversityChangsha 410082China Hunan Key Laboratory of Intelligent Information Analysis Integrated Optimization for Energy InternetHunan UniversityChangsha 410082China Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China College of electrical EngineeringGuangxi UniversityNanning 530004China IEEE 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2023年第11卷第1期

页      面：223-233页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：supported by the National Natural Science Foundation of China(No.51877117) the Key Project of National Natural Science Foundation of China(No.61733010) 

主　　题：Demand response energy hub hydrogen generation and storage plant optimal scheduling renewable energy 

摘      要：The accessible and convenient hydrogen supply is the foundation of successful materialization for hydrogen-powered vehicles(HVs).This paper proposes a novel optimal scheduling model for gaseous-liquid hydrogen generation and storage plants powered by renewable energy to enhance the economic feasibility of *** gaseous-liquid hydrogen generation and storage plant can be regarded as an energy hub to supply concurrent service to both the transportation sector and ancillary *** the proposed model,the power to multi-state hydrogen(P2MH)process is analyzed in detail to model the branched hydrogen flow constraints and the corresponding energy conversion relationship during hydrogen generation,processing,and *** model the coupling and interaction of diverse modules in the system,the multi-energy coupling matrix is developed,which can exhibit the mapping of power from the input to the *** on this,a multi-product optimal scheduling(MPOS)algorithm considering complementarity of different hydrogen products is further formulated to optimize dispatch factors of the energy hub system to maximize the profit within limited *** demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the *** proposed methodology has been fully tested and the results demonstrate that the proposed MPOS can lead to a higher rate of return for the gaseous-liquid hydrogen generation and storage plant.