Under the dual pressure of rapidly increasing energy demand and decreasing fossil energy supply and demand and climate change, the pursuit of efficient and clean utilization of energy has become a new trend of energy development. Micro-energy grid is guided by the demand of terminal energy consumption, which can greatly reduce resource waste through coordinated planning and unified scheduling of various types of energy in the network. Firstly, an optimal operation configuration model of micro-energy network considering the characteristics of flexible load is constructed. Secondly, Copula model is used to obtain the joint distribution of wind turbine output and photovoltaic cell output. Optimization objectives including maximizing net operating income and minimizing carbon emissions is also constructed. Thirdly, the gray wolf algorithm is used to solve the multi-objective optimal scheduling model. The results show that: (1) If only the Organic Rankine Cycle (ORC) is operated, the amount of abandoned wind power will increase. After the Power to Gas (P2G) is also operated, it can obviously absorb renewable energy and reduce operating cost. (2) When the micro-energy network is connected to the grid, flexible load can adjust the distribution of load in time dimension.
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