Accelerated Distributed Cooperative Energy Management for Integrated Energy Systems

Lining Liu; Yulong Huang; Chao Deng

doi:10.1109/JAS.2025.125489

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2025 > In Press, Accepted Manuscript

L. Liu, Y. Huang, and C. Deng, “Accelerated distributed cooperative energy management for integrated energy systems,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125489

Citation:

L. Liu, Y. Huang, and C. Deng, “Accelerated distributed cooperative energy management for integrated energy systems,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125489

L. Liu, Y. Huang, and C. Deng, “Accelerated distributed cooperative energy management for integrated energy systems,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125489

Citation:

L. Liu, Y. Huang, and C. Deng, “Accelerated distributed cooperative energy management for integrated energy systems,” IEEE/CAA J. Autom. Sinica, 2025. doi: 10.1109/JAS.2025.125489

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Accelerated Distributed Cooperative Energy Management for Integrated Energy Systems

doi: 10.1109/JAS.2025.125489

Funds: This work was supported in part by the National Natural Science Foundation of China (U24B20184, 62373118), and in part by the National Key Research and Development Program of China (2023YFB3906403)

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Author Bio:
Lining Liu (Member, IEEE) received the B.S. degree in electrical engineering and automation from China University of Petroleum, Qingdao, China, in 2016 and the M.S. degree in electrical engineering and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2020 and 2024, respectively. He is currently a Lecturer with the College of Intelligent Systems Science and Engineering, Harbin Engineering University, China. His current research interests include distributed control and optimization in microgrids, smart grid, and the energy internet, and cyber-physical power systems

Yulong Huang (M’19-SM’24) received the B.S. degree in Automation from the College of Automation, Harbin Engineering University, Harbin, China, in 2012. He received the Ph.D degree in control science and engineering from the College of Automation, Harbin Engineering University, Harbin, China, in 2018. From Nov. 2016 to Nov. 2017, he was a visiting graduate researcher at the Electrical Engineering Department of Columbia University, New York, USA. From Dec. 2019 to Dec. 2021, he was associated with the Department of Mechanical Engineering, City University of Hong Kong, as a Hong Kong Scholar. He is a Full Professor of navigation, guidance, and control, and Vice Dean of College of Intelligent Systems Science and Engineering at Harbin Engineering University (HEU) in China. His current research interests include state estimation, intelligent information fusion and their applications in navigation technology, such as inertial navigation, integrated navigation, intelligent navigation, and cooperative navigation. Currently, he serves as an Associate Editor for the IEEE Transactions on Automatic Control, for the IEEE Transactions on Aerospace and Electronic Systems, for the IEEE Transactions on Automation Science and Engineering, for the IEEE Transactions on Instrumentation and Measurement, and for the IEEE Sensors Journal, and a Youth Editor for the IEEE/CAA Journal of Automatica Sinica (JAS), for the Journal of Marine Science and Application, for the Unmanned Systems Technology, for the Journal of Unmanned Undersea Systems, for the Navigation Positioning and Timing.He was the recipient of the 2018 IEEE Barry Carlton Award from IEEE Transactions on Aerospace and Electronic Systems in 2022, the Honorable Mention of 2017 IEEE Barry Carlton Award from IEEE Transactions on Aerospace and Electronic Systems in 2021, the Best Student Paper Award of 2023 IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2023), and the Best Paper Award of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). He was also the recipient of the 11th China Youth Science and Technology Innovation Awards in 2018, the excellent doctoral thesis from Chinese Association of Automation (CAA) in 2019, the Wu Wen-Jun AI Excellent Youth Scholar Award in 2021, the First Prize of Natural Science Award of Chinese Association of Automation (Ranked the 2nd) in 2021, and he was selected into the sixth Young Elite Scientists Sponsorship Program by China Association for Science and Technology in 2020. He was an outstanding Associate Editor and Reviewer for the IEEE Transactions on Instrumentation and Measurement

Chao Deng (Senior Member, IEEE) received the Ph.D. degree in control engineering from Northeastern University, Shenyang, China, in 2018. From May 2018 to May 2021, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He is a Research Associate with the City University of Hong Kong, Hong Kong, China from May 2024 to July 2024. Currently, he is a professor at the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing China. His research interests include cooperative control, cyber-physical systems, and secondary control of microgrids
Corresponding author: Yulong Huang, e-mail: huangyl@hrbeu.edu.cn
Received Date: 2025-02-06
Revised Date: 2025-03-27
Accepted Date: 2025-04-19

Available Online: 2025-05-20

Abstract

Abstract

This paper is concerned with the problem of distributed coordination energy management of integrated energy systems (IESs). First, an energy management model for IESs is established and formulated as a distributed constrained optimization problem. Then, an accelerated distributed event-triggered algorithm is developed to solve the problem. Compared with the existing algorithms, the developed algorithm simultaneously offers two advantages. On the one hand, the convergence speed of the algorithm is improved greatly by incorporating the second-order information. On the other hand, the algorithm is implemented with asynchronous communication by an event-triggered mechanism, effectively reducing communication interact. Furthermore, the convergence and optimality of the algorithm are analyzed rigorously based on Lyapunov method. Finally, simulation studies are provided to validate the effectiveness of the algorithm.
- Distributed coordination,
- energy management,
- event-triggered,
- integrated energy systems

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References(36)

References

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Accelerated Distributed Cooperative Energy Management for Integrated Energy Systems

doi: 10.1109/JAS.2025.125489

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