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Volume 10 Issue 4
Apr.  2023

IEEE/CAA Journal of Automatica Sinica

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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

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

doi: 10.1109/JAS.2023.123138
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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  • 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.

     

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    Highlights

    • 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

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