A Dynamic Equivalent Energy Storage Model of Natural Gas Networks for Joint Optimal Dispatch of Electricity-Gas Systems | IEEE Journals & Magazine | IEEE Xplore

A Dynamic Equivalent Energy Storage Model of Natural Gas Networks for Joint Optimal Dispatch of Electricity-Gas Systems


Abstract:

The development of energy conversion techniques enhances the coupling between the gas network and power system. However, challenges remain in the joint optimal dispatch o...Show More

Abstract:

The development of energy conversion techniques enhances the coupling between the gas network and power system. However, challenges remain in the joint optimal dispatch of electricity-gas systems. The dynamic model of the gas network, described by partial differential equations, is complex and computationally demanding for power system operators. Furthermore, information privacy concerns and limited accessibility to detailed gas network models by power system operators necessitate quantifying the equivalent energy storage capacity of gas networks. This article proposes a multi-port energy storage model with time-varying capacity to represent the dynamic gas state transformation and operational constraints in a compact and intuitive form. The model can be easily integrated into the optimal dispatch problem of the power system. Test cases demonstrate that the proposed model ensures feasible control strategies and significantly reduces the computational burden while maintaining high accuracy in the joint optimal dispatch of electricity-gas systems. In contrast, the existing static equivalent model fails to capture the full flexibility of the gas network and may yield infeasible results.
Published in: IEEE Transactions on Sustainable Energy ( Volume: 15, Issue: 1, January 2024)
Page(s): 621 - 632
Date of Publication: 22 September 2023

ISSN Information:

Funding Agency:

Author image of Siyuan Wang
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Siyuan Wang (Graduate Student Member, IEEE) received the B.S. degree in 2019 from the Department of Electrical Engineering, Tsinghua University, Beijing, China, where he is currently working toward the Ph.D. degree. His research interests include flexibility aggregation of multienergy resources and data-driven parameters identification.
Siyuan Wang (Graduate Student Member, IEEE) received the B.S. degree in 2019 from the Department of Electrical Engineering, Tsinghua University, Beijing, China, where he is currently working toward the Ph.D. degree. His research interests include flexibility aggregation of multienergy resources and data-driven parameters identification.View more
Author image of Wenchuan Wu
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Wenchuan Wu (Fellow, IEEE) received the B.S., M.S., and Ph.D. degrees from the Department of Electrical Engineering, Tsinghua University, Beijing, China. He is currently a Professor with Tsinghua University and the Deputy Director of the State Key Laboratory of Power Systems. His research interests include energy management systems, active distribution system operations and control, machine learning, and its application i...Show More
Wenchuan Wu (Fellow, IEEE) received the B.S., M.S., and Ph.D. degrees from the Department of Electrical Engineering, Tsinghua University, Beijing, China. He is currently a Professor with Tsinghua University and the Deputy Director of the State Key Laboratory of Power Systems. His research interests include energy management systems, active distribution system operations and control, machine learning, and its application i...View more
Author image of Chenhui Lin
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Chenhui Lin (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2015 and 2020, respectively. He was a visiting Ph.D. Student with the Illinois Institute of Technology, Chicago, IL, USA, in 2019. He is currently a Research Assistant Professor with the Department of Electrical Engineering, Tsinghua University. His research focuses on the operation and con...Show More
Chenhui Lin (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2015 and 2020, respectively. He was a visiting Ph.D. Student with the Illinois Institute of Technology, Chicago, IL, USA, in 2019. He is currently a Research Assistant Professor with the Department of Electrical Engineering, Tsinghua University. His research focuses on the operation and con...View more
Author image of Binbin Chen
ByteDance Ltd., Beijing, China
Binbin Chen received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2018, and the Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2023. He is currently an Algorithm Engineer with ByteDance Ltd. His research focuses on the operation and optimization of integrated energy systems.
Binbin Chen received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2018, and the Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2023. He is currently an Algorithm Engineer with ByteDance Ltd. His research focuses on the operation and optimization of integrated energy systems.View more

Author image of Siyuan Wang
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Siyuan Wang (Graduate Student Member, IEEE) received the B.S. degree in 2019 from the Department of Electrical Engineering, Tsinghua University, Beijing, China, where he is currently working toward the Ph.D. degree. His research interests include flexibility aggregation of multienergy resources and data-driven parameters identification.
Siyuan Wang (Graduate Student Member, IEEE) received the B.S. degree in 2019 from the Department of Electrical Engineering, Tsinghua University, Beijing, China, where he is currently working toward the Ph.D. degree. His research interests include flexibility aggregation of multienergy resources and data-driven parameters identification.View more
Author image of Wenchuan Wu
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Wenchuan Wu (Fellow, IEEE) received the B.S., M.S., and Ph.D. degrees from the Department of Electrical Engineering, Tsinghua University, Beijing, China. He is currently a Professor with Tsinghua University and the Deputy Director of the State Key Laboratory of Power Systems. His research interests include energy management systems, active distribution system operations and control, machine learning, and its application in energy systems. He was the recipient of the National Science Fund of China Distinguished Young Scholar Award in 2017.
Wenchuan Wu (Fellow, IEEE) received the B.S., M.S., and Ph.D. degrees from the Department of Electrical Engineering, Tsinghua University, Beijing, China. He is currently a Professor with Tsinghua University and the Deputy Director of the State Key Laboratory of Power Systems. His research interests include energy management systems, active distribution system operations and control, machine learning, and its application in energy systems. He was the recipient of the National Science Fund of China Distinguished Young Scholar Award in 2017.View more
Author image of Chenhui Lin
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, China
Chenhui Lin (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2015 and 2020, respectively. He was a visiting Ph.D. Student with the Illinois Institute of Technology, Chicago, IL, USA, in 2019. He is currently a Research Assistant Professor with the Department of Electrical Engineering, Tsinghua University. His research focuses on the operation and control of power system integrated with renewable energy.
Chenhui Lin (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2015 and 2020, respectively. He was a visiting Ph.D. Student with the Illinois Institute of Technology, Chicago, IL, USA, in 2019. He is currently a Research Assistant Professor with the Department of Electrical Engineering, Tsinghua University. His research focuses on the operation and control of power system integrated with renewable energy.View more
Author image of Binbin Chen
ByteDance Ltd., Beijing, China
Binbin Chen received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2018, and the Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2023. He is currently an Algorithm Engineer with ByteDance Ltd. His research focuses on the operation and optimization of integrated energy systems.
Binbin Chen received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2018, and the Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2023. He is currently an Algorithm Engineer with ByteDance Ltd. His research focuses on the operation and optimization of integrated energy systems.View more

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