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Application of fuzzy spiking neural dP systems in energy coordinated control of multi-microgrid

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Abstract

To achieve carbon peaking and carbon neutrality goals, the research on technologies related to the grid connection of high proportion renewable energy has become a hot spot. Multi-microgrid is a feasible solution, only by ensuring the safe and stable operation of the multi-microgrid system can the advantages of the multi-microgrid be brought into full play. Different from other membrane systems, spiking neural dP systems can solve input problems in a distributed manner, making it suitable for the control field. First, to ensure the stable operation of the multi-microgrid, this paper introduces the fuzzy theory into the spiking neural dP systems and proposes fuzzy spiking neural dP systems (FSNdPS). The improved P system can better solve the problems of uncertainty and inaccuracy contained in the multi-microgrid information caused by the high proportion of new energy access. Second, the proposed FSNdPS are used to model the coordinated control of a typical multi-microgrid structure, and the corresponding coordinated control strategy is proposed. Finally, the correctness and feasibility of the proposed method are verified by a reasoning test and MATLAB simulation, and the safe and stable operation of multi-microgrid is realized.

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The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was partially supported by the Sichuan Key Laboratory Project of Artificial Intelligence (No. 2021RYY05), the Sichuan Provincial Engineering Laboratory Open Research Project (No. WRXT2021-005), the School-Level Projects of Chengdu Technological University (No. 2022ZR053 and no. 2022ZR054), and the Sichuan Undergraduate Innovation and Entrepreneurship Training Program (No. S202211116031).

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Author notes

  1. Xiangquan Xiao, Jieping Wu, Fuwen Chen, Li Zheng, and Huijie Zhang have contributed equally to this work.

Authors and Affiliations

  1. School of Automation and Electrical Engineering, Chengdu Technological University, Chengdu, 611730, China

    Wenping Yu, Xiangquan Xiao, Jieping Wu, Fuwen Chen, Li Zheng & Huijie Zhang

  2. College of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, China

    Jieping Wu

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  1. Wenping Yu
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Correspondence to Jieping Wu.

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Yu, W., Xiao, X., Wu, J. et al. Application of fuzzy spiking neural dP systems in energy coordinated control of multi-microgrid. J Membr Comput 5, 69–80 (2023). https://doi.org/10.1007/s41965-023-00118-9

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