Application of spiking neural P systems with autapses in coordinated control of multi-microgrid

Due to the high number of distributed generation units being connected to the power grid, multi-microgrids have emerged as an effective solution for integrating these units into the grid. Membrane computing is a powerful method for information processing and parallel computing, which is beneficial for solving distributed and parallel control problems. The spiking neural P systems with autapses (SNP-AU) are used to achieve power balance and coordinated control in multi-microgrids. To accomplish this goal, mathematical models and corresponding rules are established. By simulating the operation of microgrids under various scenarios through four reasoning test models, the correctness and feasibility of the proposed SNP-AU-based coordinated control model for the multi-microgrid are verified. Finally, the 24-h safe and stable operation of the multi-microgrid system is achieved through MATLAB simulation experiments, meeting the operational requirements for voltage and frequency.