Optimization of Operating Hydrogen Storage System for Coal–Wind–Solar Power Generation
Rui Yan,
Yuwen Chen and
Xiaoning Zhu
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Rui Yan: School of Economics and Management, University of Science & Technology Beijing, Beijing 100089, China
Yuwen Chen: School of Economics and Management, University of Science & Technology Beijing, Beijing 100089, China
Xiaoning Zhu: School of Economics and Management, University of Science & Technology Beijing, Beijing 100089, China
Energies, 2022, vol. 15, issue 14, 1-25
Abstract:
To address the severity of the wind and light abandonment problem and the economics of hydrogen energy production and operation, this paper explores the problem of multi-cycle resource allocation optimization of hydrogen storage systems for coal–wind–solar power generation. In view of the seriousness of the problem of abandoning wind and photovoltaic power and the economy of hydrogen production and operation, the node selection and scale setting issues for hydrogen production and storage, as well as decision-making problems such as the capacity of new transmission lines and new pipelines and route planning, are studied. This research takes the satisfaction of energy supply as the basic constraint and constructs a multi-cycle resource allocation optimization model for an integrated energy system, aiming to achieve the maximum benefit of the whole system. Using data from Inner Mongolia, where wind abandonment and power limitation are severe, and Beijing and Shanxi provinces, where hydrogen demand is high, this paper analyzes the benefits of the hydrogen storage system for coal–wind–solar power generation, and explores the impact of national subsidy policies and technological advances on system economics.
Keywords: coal–wind–solar power; hydrogen storage; multi-cycle resource allocation; energy system optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:14:p:5015-:d:858966
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