Game and Dynamic Communication Path-Based Pricing Strategies for Microgrids Under Communication Interruption

Bo Zhang; Chunxia Dou; Dong Yue; Ju H. Park; Yudi Zhang; Zhanqiang Zhang

doi:10.1109/JAS.2023.123138

Volume 10 Issue 4

Apr. 2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2023 > 10(4): 1032-1047

B. Zhang, C. X. Dou, D. Yue, J. H. Park, Y. D. Zhang, and Z. Q. Zhang, “Game and dynamic communication path-based pricing strategies for microgrids under communication interruption,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1032–1047, Apr. 2023. doi: 10.1109/JAS.2023.123138

Citation:

B. Zhang, C. X. Dou, D. Yue, J. H. Park, Y. D. Zhang, and Z. Q. Zhang, “Game and dynamic communication path-based pricing strategies for microgrids under communication interruption,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1032–1047, Apr. 2023. doi: 10.1109/JAS.2023.123138

Citation:

B. Zhang, C. X. Dou, D. Yue, J. H. Park, Y. D. Zhang, and Z. Q. Zhang, “Game and dynamic communication path-based pricing strategies for microgrids under communication interruption,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1032–1047, Apr. 2023. doi: 10.1109/JAS.2023.123138

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Game and Dynamic Communication Path-Based Pricing Strategies for Microgrids Under Communication Interruption

doi: 10.1109/JAS.2023.123138

Bo Zhang^1
,,
Chunxia Dou^{1
,
,},
Dong Yue^1
,,
Ju H. Park^2
,,
Yudi Zhang^3
,,
Zhanqiang Zhang^1
,

1.
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2.
Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, South Korea
3.
Nanjing University, Nanjing 210093, China. She is now with the University of Bristol, Bristol BS8 1QU, UK

Funds: This work was supported in part by the National Key Research and Development Program of China (2018YFA0702200), the National Natural Science Foundation of China (61933005, 61833008), the Natural Science Foundation of Jiangsu Province of China (BK20220395), the Leading Technology Foundation Research Project of Jiangsu Province (BK20202011), the Natural Science Foundation of Jiangsu Universities (22KJB470024), Jiangsu Provincial Key Research and Development Program (BE2020001), Natural Science Foundation of Hebei Province of China (E2020203139), Natural Science Foundation of Nanjing University of Posts and Telecommunications (NY222032), and the National Research Foundation of Korea (2020R1A2B5B02002002)

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Author Bio:
Bo Zhang received the Ph.D. degree from Yanshan University in 2022. He was a Visiting Ph.D. Student with Yeungnam University in 2021. He is currently a Lecturer with the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications. His research interests include microgrid and distribution network

Chunxia Dou (Senior Member, IEEE) received the B.S. and M.S. degrees in automation from Northeast Heavy Machinery Institute in 1989 and 1994, respectively, and the Ph.D. degree in electrical engineering from Yanshan University in 2005. In 2010, she joined the Department of Engineering, Peking University, where she was a Post-Doctoral Fellow for two years. From 2005 to 2019, she was a Professor with the School of Electrical Engineering, Yanshan University. Since 2019, she has been a Professor with the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications. Her current research interests include MAS-based control, event-triggered hybrid control, distributed coordinated control, multimode switching control, and their applications in power systems and smart grid

Dong Yue (Fellow, IEEE) received the Ph.D. degree in control theory and application from the South China University of Technology in 1995. He was a Changjiang Professor with the Department of Control Science and Engineering, Huazhong University of Science and Technology. He is currently a Professor and Dean with the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications. His current research interests include networked control systems, optimal control of power systems, and the Internet of Things

Ju H. Park (Senior Member, IEEE) received the Ph.D. degree in electronics and electrical engineering from the Pohang University of Science and Technology (POSTECH), South Korea, in 1997. From May 1997 to February 2000, he was a Research Associate with the Engineering Research Center-Automation Research Center, POSTECH. He joined Yeungnam University, South Korea, in March 2000, where he is currently the Chuma Chair Professor. He has coauthored the monographs Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (New York, NY, USA: Springer Nature, 2018) and Dynamic Systems with Time Delays: Stability and Control (New York, NY, USA: Springer Nature, 2019) and is an Editor of an edited volume Recent Advances in Control Problems of Dynamical Systems and Networks (New York: Springer Nature, 2020). His research interests include robust control and filtering, neural/complex networks, fuzzy systems, multiagent systems, and chaotic systems. He has published a number of articles in these areas. Prof. Park has been a recipient of the Highly Cited Researchers Award by Clarivate Analytics (formerly, Thomson Reuters) since 2015 and listed in three fields, Engineering, Computer Sciences, and Mathematics, in 2019, 2020, and 2021. He also serves as an Editor of the International Journal of Control, Automation and Systems. He is also a Subject Editor/Advisory Editor/Associate Editor/Editorial Board Member of several international journals, including IET Control Theory & Applications, Applied Mathematics and Computation, Journal of the Franklin Institute, Nonlinear Dynamics, Engineering Reports, Cogent Engineering, the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Neural Networks And Learning Systems, and the IEEE Transactions on Cybernetics. He is a Fellow of the Korean Academy of Science and Technology

Yudi Zhang received the B.S. degree in finance from Australian National University, Australia, in 2017, and the M.S. degree in operational research from the University of Manchester, UK in 2018. She is currently pursuing the Ph.D. degree in operational research with the University of Bristol, UK. Her research interests include big data analysis of power system and electric power market transactions

Zhanqiang Zhang received the B.S. degree in electrical engineering and automation, and the B.S. degree in math and applied mathematics, from Hebei University of Science and Technology in 2015, and the Ph.D. degree in control science and engineering from Yanshan University in 2021. He was a Visiting Ph.D. Student with the Queensland University of Technology, Australia, from 2019 to 2020. He is currently a Research Associate with Nanjing University of Posts and Telecommunications. He was a recipient of the Best Application Paper Award from CAC (China Automation Congress) 2022, the Best Student Paper Award from IEEE CCIS (cloud computing and intelligence systems) 2018, the National Scholarship for Graduate students (three times), the State Scholarship for Overseas Studies, and Beijing Environment Foundation for Young Talents. His research interests include microgrid and active distribution network
Corresponding author: Chunxia Dou, e-mail: cxdou@ysu.edu.cn
Received Date: 2022-08-31
Revised Date: 2022-10-04
Accepted Date: 2022-10-19

Available Online: 2023-02-15

Abstract

Abstract

Nowadays, the microgrid cluster is an important application scenario for energy trading. In trading, one of the most important research directions is the issue of pricing. To determine reasonable pricing for the microgrid cluster, data communication is used to create the cyber-physical system (CPS), which can improve the observability of microgrids. Then, the following works are carried out in the CPS. In the physical layer: 1) Regarding trading between microgrids and the load, based on the generalized game theory, an optimal pricing strategy is proposed, which takes into account the interactive relationships among microgrids and transforms the pricing problem into a Nikaido-Isoda function to obtain the optimal prices conveniently; 2) Regarding peer-to-peer trading between two microgrids, based on evolutionary game theory and the penalty mechanism, the optimal sale price of the seller is selected with boundary rationality. In the cyber layer, regarding the communication interruption issue existing in pricing (i.e., the game process), based on the principle of matching the performance of the path with the importance degree of the data, a dynamic regulating method of paths is proposed, i.e., adopting a new path to re-transmit the interrupted data to the destination. Finally, the effect of the proposed strategies is verified by case studies.
- Communication interruption,
- dynamic regulating,
- game,
- microgrid cluster,
- pricing

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References

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The pricing problem in microgrid trading is modeled as related game models to solve
The generalized game model is used to design sale prices for MGs in MGC trading
The evolutionary game model is used to design sale prices for MGs in P2P trading
The communication interruption is solved by dynamic regulating communication paths

Game and Dynamic Communication Path-Based Pricing Strategies for Microgrids Under Communication Interruption

doi: 10.1109/JAS.2023.123138

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