In order to realize the economical, efficient and sustainable development of micro-energy grids, this paper proposes a micro energy grid architecture model and operating strategies for multiple clean energy use. We analyze various uncertain factors affecting micro energy grid planning, and combine the state matrix of typical daily wind speed, light, and load data with the Copula function. The timing and cross-correlation of random variables are comprehensively considered to construct a variety of operating scenarios for the micro energy grid. A multi-objective stochastic planning model of a micro energy network is established with minimum life cycle cost and minimum carbon emission. The Matlab simulation platform is used to obtain the Pareto front by the NSGA-II algorithm, combining multi-objective optimization decision methods to determine planning schemes. The factors affecting multi-objective stochastic planning of micro energy grids are analyzed through specific examples, and the feasibility and effectiveness of the planning model are verified. This work is supported by the Science and Technology Project of State Grid Corporation of China in 2020 “Integrated Solution Design and Demonstration Project Construction for Rural Typical Scene Electrification Projects” (No. 5400-202025208A-0-0-00).