Abstract: The electric heat storage (EHS) devices is installed in micro-grid, whose “access-in” and “cut-out” are flexibly scheduled, which can absorb the surplus wind power and participate in system peak adjustment to effectively improve the anti-peaking drawbacks of wind power, and to provide new ideas for load dispatching. With minimizing costs of micro-grid, maximizing renewable energy consumption and maximizing heat storage rate as optimization objectives, the conversion from multiple objectives to single objective is implemented by membership functions, the genetic algorithm is used to optimize operating status of each unit, and the best operation mode is realized. With a specific micro-grid as simulation example, the result shows that the installation of electric storage device can realize the decoupling of “power determined by heat” operating constraints of CHP to improve the consumption of wind power by micro-grid, and the balance between the various objectives is greatly coordinated through fuzzy processing of multiple objectives by membership function.