Micro-grid optimization scheduling is an effective technical means to absorb intermittent distributed energy. In order to achieve the dual goals of economic and environmental optimization of micro- grid

a micro- grid optimization model including photovoltaic cells

fans

micro-gas turbines

diesel generators and batteries is established. The model is solved by an improved whale algorithm. In view of the problems of slow convergence and easy to fall into the local optimal solution of the traditional whale algorithm

Tent map is used to initialize the population

adding the sine and cosine operators to improve the bubble net attack phase of the whale algorithm

and Levy flight is introduced to enhance the global search ability. The improved whale algorithm is applied to the microgrid. Compared with traditional particle swarm optimization and basic whale algorithm

the results show that the improved whale algorithm with mixed sine and cosine operators has faster iteration speed and better economy

and has a good solution effect for the optimization scheduling problem of microgrid.