In the practice of time-of-use (TOU) electricity price and the microgrid connected to the grid

a dynamic model of combined cooling heating and power (CCHP) type of microgrid considering the additional opportunity income is proposed to better schedule energy storage

schedulable microsources and interactive power from the grid. A microgrid consisting of a wind turbine

photovoltaic

energy storage and CCHP system is chosen to obtain the optimal operation modes of microsources in the scheduling period using the simulated annealing and particle swarm optimization (SimuAPSO) algorithm

and then the advantages of CCHP system with individual systems are compared. The validity of the proposed model and algorithm is proved. Under the condition of microgrid connected to the grid

the dynamic model of CCHP type of microgrid is able to optimize the output of microsources and reduce the costs of the microgrid based on the step utilization of energy and emission-reduction. This work is supported by National Natural Science Foundation of China (No. 51307101

No. 51177091) and Science and Technology Foundation for Middle-aged and Young Scientist of Shandong Province (No. BS2013NJ011).