(Institute of Electrical Engineering of Chinese Academy of Sciences, Beijing 100190, China)

To achieve energy coordination and optimization of a hybrid microgrid based on renewable energy and combined heat and power (CHP) supply, the power characteristics of typical distributed energy resources such as renewable energy, micro-turbine and energy storage are analyzed. Energy coordination and optimization strategies based on multi-time scale are presented. The operation of the hybrid microgrid can be optimized using the hour-time scale, minute-time scale and second-time scale optimization: the hour-time scale optimization strategies can help develop rational unit commitment and generation plans for distributed energy resources, and the minute-time scale and second-time scale power output of distributed energy resources can be further optimized with the help of an improved Euler moving average prediction (EMAP) model to extract the fast and slow processes during power fluctuations of the hybrid microgrid. Simulation and experiment studies show that the energy coordination and optimization strategies are effective and feasible.