TY - JOUR
AU - Zhang, Huijie
AB - 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.
TI - Application of fuzzy spiking neural dP systems in energy coordinated control of multi-microgrid
JO - Journal of Membrane Computing
DO - 10.1007/s41965-023-00118-9
DA - 2023-03-01
UR - https://www.deepdyve.com/lp/springer-journals/application-of-fuzzy-spiking-neural-dp-systems-in-energy-coordinated-mcoxz8Kmld
SP - 69
EP - 80
VL - 5
IS - 1
DP - DeepDyve
ER -