Optimal Scheduling Study of Microgrid Based on Multi-Objective Hare Algorithm

Aiming at the problems of local optimum and premature convergence of traditional intelligent algorithms in multi-objective optimal scheduling of microgrids, a multi-objective hare algorithm is proposed in this paper. Firstly, a randomly distributed adaptive foraging strategy is used to evaluate multiple regions, meanwhile, the search direction is updated and new resources are developed according to the risk avoidance behavior of hares, and finally, a hare population superiority mechanism is introduced to improve the efficiency and accuracy of the search by eliminating the low-quality solutions and generating new candidate solutions. Through simulation experiments and comparative analysis with traditional intelligent algorithms, this paper verifies that the method proposed in this paper effectively improves the local optimal solution problem and provides a reliable reference for microgrid optimal scheduling.