Optimization Scheduling Method for Multi-Microgrid Systems Based on Three Black Hole System Capture Strategy

To facilitate energy exchange among multiple microgrids operated by diverse stakeholders within the same region, considering the distinct interests of microgrids (MGs) and microgrid aggregators (MAs), We present a method for optimizing and scheduling a multi-microgrid system's economics using the Three Black Hole System Particle Swarm Optimization strategy. Black hole particles in MPSO-TCS can constantly update their positions, enhance the global search ability of the algorithm, and have good convergence and can approach the real pareto frontier. Initially, a framework is designed where MAs respond to internal electricity prices set by the MMGA, aiming to minimize operational costs of individual microgrids at the upper level and maximize MMGA's revenue at the lower level. The simulation findings confirm that the suggested approach improves economic advantages for all stakeholders by minimizing electricity exchange with the main grid. This facilitates the amalgamation of locally scattered resources, ensuring the power grid operates securely and steadily.