Abstract: Microgrid is an effective method to integrate distributed power supply into power grid. The optimal

operation of microgrid can effectively improve the utilization efficiency of renewable energy. The objective

optimization model was established，considering the economy of microgrid operation，the volatility of distributed

power sources in different periods，environmental protection and other constraints and requirements. The

scheduling optimization method based on improved particle swarm optimization（IPSO）algorithm was proposed.

The optimal solution was obtained by dynamically adjusting weights and cognitive factors. The IPSO algorithm

was compared with genetic algorithm. The analysis of example shows that the IPSO algorithm has faster

convergence speed and is more reasonable and effective in solving the volatility of distributed power sources and

the optimization of microgrid dispatching.

      Key words: microgrid（MG）；economic dispatch；improved particle swarm optimization（IPSO）algorithm；

genetic algorithm（GA）