Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects
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Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects
Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects
中国电机工程学会电力与能源系统学报(英文)2023年9卷第1期 页码:1-7
作者机构:
1. State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau,China
2. Department of Electrical Engineering, Tsinghua University,Beijing,China
3. Galvin Center for Electricity Innovation, Illinois Institute of Technology,IL,Chicago,USA
4. Department of Advanced Research Institute, Virginia Polytechnic Institute and State University, Arlington,VA,USA
5. Department of Earth Science and Engineering, Imperial College London, London, U.K
6. Department of Sustainable Electric Networks and Sources of Energy, Technische Universitt Berlin,Berlin,Germany
7. Department of Electrical Engineering, State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, Tsinghua University,Beijing,China
Yonghua Song, Mohammad Shahidehpour, Saifur Rahman, 等. Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(1):1-7.
Yonghua Song, Mohammad Shahidehpour, Saifur Rahman, et al. Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 1-7.
Yonghua Song, Mohammad Shahidehpour, Saifur Rahman, 等. Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(1):1-7.DOI: 10.17775/CSEEJPES.2022.08320.
Yonghua Song, Mohammad Shahidehpour, Saifur Rahman, et al. Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 1-7.DOI: 10.17775/CSEEJPES.2022.08320.
Utilization of Energy Storage and Hydrogen in Power and Energy Systems: Viewpoints from Five Aspects
Decarbonizing power systems is crucial to mitigating climate change impacts and achieving carbon neutrality. Increasing renewable energy supply can reduce greenhouse gas emissions and accelerate the decarbonization process. However
renewable energy sources (RESs) such as wind and solar power are characterized by intermittency and often non-dispatchability
significantly challenging their high-level integration into power systems. Energy storage is acknowledged as a vital indispensable solution for mitigating the intermittency of renewables such as wind and solar power and boosting the penetrations of renewables. In the CSEE JPES Forum
five well-known experts were invited to give keynote speeches
and the participating experts and scholars had comprehensive exchanges and discussions on energy storage technologies. Specifically
the views on the design
control
performance
and applications of new energy storage technologies
such as the fuel cell vehicle
water electrolysis
and flow battery
in the coordination and operation of power and energy systems were analyzed. The experts also provided experience that could be used to develop energy storage for constructing and decarbonizing new power systems.
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Keywords
references
2. China Energy Storage Alliance . [Online ] . Available: http://www.cnesa.org/. Accessed on Jan 1 st, 2023.
9. IEEE Transmitter. ( 2022, Oct. 18 ). Six Priorities for Decarbonization in Industrialized and Emerging Economies . [Online ] . Available: https://transmitter.ieee.org/six-priorities-for-decarbonization-in-industrialized-and-emerging-economies/.
Improved Market Mechanism for Energy Storage Based on Flexible State of Energy
Extended sufficient conditions for exact relaxation of the complementarity constraints in storage-concerned economic dispatch
Bi-Level Optimal Configuration of Hybrid Shared Energy Storage Capacity in Wind Farms Considering Prediction Error
Economic Dispatch in Microgrids with Photovoltaic and Load Communication Failures Using Deep Reinforcement Learning with Relative Entropy Regularized Asynchronous Update
Transmission Power-Oriented Forecasting Towards Stability-Constrained Operation of Renewable Energy Power Plants with Energy Storages
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相关机构
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