随着以居民住宅为代表的终端用能微元急剧增长，用户侧新能源微电网系统的电能调度优化面临挑战。提出了一种考虑源荷不确定性和电动汽车的新能源微电网分层优化策略，旨在保障居民用电需求和提高系统运行效率。上层模型以电动汽车充电利益和居民用电满意度为优化目标，同时考虑需求响应的不确定性，对住宅用电负荷和电动汽车充电负荷进行优化；下层模型以系统运行效益和对外影响为优化目标，基于上层数据采用区间信息模糊规划模型构建并求解非线性多目标优化问题，从而得到系统各设备的最优出力方案。结果表明，所提调度策略确保居民用电满意度提升的同时保障了系统运行的整体性能，有效应对了不确定性因素带来的影响。

With the rapid growth of terminal energy micro-unit consumption, represented by residential buildings, the optimization of power dispatch in user-side new energy microgrid systems face challenges. A hierarchical optimization strategy for new energy microgrids, considering source-load uncertainty and electric vehicles, is proposed to ensure residential electricity demand and improve system operational efficiency. The upper-level model optimizes residential electricity loads and electric vehicle charging loads, with objectives focused on maximizing electric vehicle charging benefits and resident electricity satisfaction while accounting for demand response uncertainty. The lower-level model aims to enhance system operational efficiency and external impact, employing an interval information fuzzy planning model to construct and solve nonlinear multi-objective optimization problems based on upper-level data, thereby obtaining the optimal power output scheme for system equipment. Results demonstrate that the proposed dispatch strategy effectively improves resident electricity satisfaction while ensuring overall system performance, mitigating the impacts of uncertainty factors.