In order to satisfy planning requirements of active distribution system (ADS) with high penetration renewable energy sources (REGs), a multi-objective and bi-level optimization problem is proposed to model ADS planning from three different perspectives of economy, utilization of RESs, and reliability. Based on the leader-follower-interactive strategy of hierarchic optimization, a bi-level optimization methodology is adopted, where the upper level is adopted to optimize planning of networks and allocation of RESs, energy storage systems (ESSs) cooperatively. The lower level enables us integrate operation strategies of ESSs into ADS planning model to achieve the collaborative optimization of planning and operation in different time-scales. The multiple-scenario analysis and K-means clustering serve to capture the time-variable nature and deal with the uncertainty of RESs and load demand. A Pareto-based multi-objective hybrid algorithm is adopted to solve the multi-level mixed integer problem to balance the multiple objectives of costs reduction, reliability improvement, and green penetration promotion. Results obtained by numerical cases are presented and discussed, where the availability and the effectiveness are verified.