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

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 feasib...

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Main Authors: Jiamei Zhang, Kai Sun, Canbing Li, Hui Liu, Wentao Huang, Bin Zhou, Xiaochao Hou
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9690522/
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author Jiamei Zhang
Kai Sun
Canbing Li
Hui Liu
Wentao Huang
Bin Zhou
Xiaochao Hou
author_facet Jiamei Zhang
Kai Sun
Canbing Li
Hui Liu
Wentao Huang
Bin Zhou
Xiaochao Hou
author_sort Jiamei Zhang
collection DOAJ
description 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 investment. The 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 market. In 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 storage. To 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 output. Based 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 resources. The demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the uncertainty. 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.
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spelling doaj.art-0156b5a5d16a44589c945589eb7a8eb92023-02-21T00:03:38ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-0111122323310.35833/MPCE.2021.0002609690522Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple ProductsJiamei Zhang0Kai Sun1Canbing Li2Hui Liu3Wentao Huang4Bin Zhou5Xiaochao Hou6College of Electrical and Information Engineering, Hunan University,Changsha,China,410082Tsinghua University,Department of Electrical Engineering,Beijing,China,100084Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China,200240College of electrical Engineering, Guangxi University,Nanning,China,530004Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China,200240College of Electrical and Information Engineering, Hunan University,Changsha,China,410082Tsinghua University,Department of Electrical Engineering,Beijing,China,100084The 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 investment. The 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 market. In 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 storage. To 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 output. Based 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 resources. The demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the uncertainty. 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.https://ieeexplore.ieee.org/document/9690522/Demand responseenergy hubhydrogen generation and storage plantoptimal schedulingrenewable energy
spellingShingle Jiamei Zhang
Kai Sun
Canbing Li
Hui Liu
Wentao Huang
Bin Zhou
Xiaochao Hou
Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
Journal of Modern Power Systems and Clean Energy
Demand response
energy hub
hydrogen generation and storage plant
optimal scheduling
renewable energy
title Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
title_full Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
title_fullStr Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
title_full_unstemmed Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
title_short Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products
title_sort economic scheduling of gaseous liquid hydrogen generation and storage plants considering complementarity of multiple products
topic Demand response
energy hub
hydrogen generation and storage plant
optimal scheduling
renewable energy
url https://ieeexplore.ieee.org/document/9690522/
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AT kaisun economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts
AT canbingli economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts
AT huiliu economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts
AT wentaohuang economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts
AT binzhou economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts
AT xiaochaohou economicschedulingofgaseousliquidhydrogengenerationandstorageplantsconsideringcomplementarityofmultipleproducts