Abstract: To reduce the influence of microgrid interconnection on large power grids and reduce the power generation cost of microgrid, an optimal economic operation model of incentive demand response microgrid based on load transfer was proposed. On this basis, a multi-strategy improved artificial bee colony algorithm was proposed in view of the low optimization accuracy of artificial bee colony algorithm and its tendency to fall into the shortage of local optimum. Firstly, a new search equation guided by two elite individuals was proposed to reduce the randomness and blindness of search. Secondly, the immune-advance adaptive transformation mechanism was proposed to balance the global search performance and local exploitation capability. Finally, the variable neighborhood search strategy based on Levy flight was introduced to strengthen the ability of the algorithm to jump out of the local optimal. The feasibility and effectiveness of the proposed model and algorithm were verified by a simulation example. The results showed that the proposed model could effectively reduce the power generation cost while realizing peak cutting and valley filling. Compared the convergence speed and optimization accuracy with other algorithms on the microgrid example, the superiority of multi-strategy improved artificial bee colony algorithm was verified.