Aiming at the shortcomings of particle swarm optimization（PSO）algorithm

such as easy to fall into local optimum

slow convergence

and fail to optimize the microgrid

the PSO algorithm is improved.In the research of microgrid operation

the improved comprehensive learning PSO（CLPSO）algorithm is used to optimize the system and get better results.Based on the income of microgrid

the mathematical model and economic cost of various power generation of microgrid are constructed.Under the system operation constraints（SOC）equipment power and system design（renewable energy installed capacity

loss rate and so on）

the penalty function method is used to convert the objective function with constraints into an objective function without constraints.The objective function of the condition is used

and the CLPSO algorithm is applied to optimize the revenue of the microgrid.A brief analysis on various factors of the microgrid income is given.