According to the difference of operating expectations of microgrid at different periods, this paper proposes an interactive multi-objective optimization strategy of microgrid based on improved NSGA-II algorithm. An optimized model considering operation cost and emission as objectives is built, the problem is may virtually regarded as 24 associated hourly optimal energy management sub-problems to provide more flexibility for selecting hourly optimal scheduling plan. An interactive search strategy coordinates the operation of energy storage systems at each hour to implement the coupling relationship between 24 separate hourly optimal sub-problems and the all-day optimal objectives. Then through an improved NSGA-Ⅱalgorithm, Pareto-optimal fronts of each hour in turn are obtained, and the membership function is established to select compromise solutions from the Pareto-optimal fronts. The example simulation shows that the optimization model and strategy are effective. This work is supported by National Natural Science Foundation of China (No. 51477040 and No. 51677052) and Natural Science Foundation of Hebei Province (No. E2015202263 and No. E2016202134).