Optimal Scheduling Study of Microgrid Based on Improved Artificial Bee Colony Algorithm
This paper proposes a multi-strategy coordinated optimal artificial bee colony algorithm on the basis of the conventional bee colony algorithm,using inverse learning and adaptive dynamic adjustment factors to im-prove the algorithm's solving accuracy and speed,and then establishes an optimal scheduling model for micro-grids with the goal of minimizing the daily operating cost,and solves it by using the IABC,and finally arrives at the optimal scheduling plan.The comparison simulation experiments are carried out through various algorithms to verify the effectiveness of the algorithms proposed in this paper and to provide technical guidance for the ac-tual operation of microgrids.
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