Utilization of the renewable energy source(RES)can address the environmental degradation and energy shortage problems. However

due to the different output characteristics of each energy source

how to efficiently use and allocate all kinds of energy is one of the major problems of current microgrid. An operation system combining the combined cooling

heating and power(CCHP)system and the energy storage system is designed. The output of micro-turbines and charging and discharging power of energy storage system are hierarchically controlled by the optimal algorithm. The output and load demand are regulated by the integrated coordination of photovoltaic

wind turbines and micro-turbines. It can solve the non-equivalent problem of the RES output and the load demand to realize the effective utilization of RES. In addition

a predicted data based real-time corrected power management algorithm is proposed to control the dispatch power of the energy storage system. The algorithm can reduce the disturbance resulted from the forecasting error and improve the flexibility of the energy management. Tested by the on-site measured data

this method shows the advantages in smoothing the load demand

especially in shaving the electric vehicles load demand compared with the conventional fixed threshold method and adaptive intelligence technique

and realizes the economic and optimal utilization of energy.