在建设新型电力系统背景下，能量共享是提高园区运行效率的有效手段。园区之间通过联络线的连接实现能量的流动与共享，有效促进了资源的优化配置。然而，源、荷侧的不确定性可能导致电力供应不稳定，增加了园区之间能量共享的复杂性。为应对分布式光伏和柔性负荷不确定性带来的风险，考虑了含分布式光伏、生物质发电、微型燃气轮机、储能设备、电动汽车、柔性负荷在内的多种灵活性资源，使用梯形模糊隶属度参数描述分布式光伏与柔性负荷响应的不确定性，建立了电功率平衡的模糊机会约束模型，并转化为清晰等价类。以园区用能成本最低为目标函数，构建了含多种灵活性资源的多园区能量共享模型，使用交替乘子算法对各园区目标交替求解，保护了各园区内部运行的信息。算例结果表明，能量共享有效协调多种灵活性资源相配合，减少了用能成本与负荷用电的峰谷差，其中弃光率降低了16.4 %，提高了园区运行的稳定性、经济性与环保性。

In the context of building a new power system, energy sharing is an effective means to improve the operational efficiency of the park. The connection between parks through connecting lines enables the flow and sharing of energy, effectively promoting the optimal allocation of resources. However, the uncertainty of the source and load sides may lead to unstable power supply, increasing the complexity of energy sharing between parks. To cope with the risks brought by the uncertainty of distributed photovoltaics and flexible loads, various flexible resources are considered，including distributed photovoltaics, biomass power generation, micro gas turbines, energy storage equipment, electric vehicles, and flexible loads. The trapezoidal fuzzy membership parameter is used to describe the uncertainty of the response of distributed photovoltaics and flexible loads, and a fuzzy chance constraint model for power balance is established and transformed into a clear equivalence class. A multi-park energy sharing model with multiple flexible resources is constructed with the objective function of minimizing energy consumption costs in the park. The alternating direction method of multipliers(ADMM) is used to solve the objectives of each park alternately, protecting the internal operation information of each park. The calculation results show that energy sharing effectively coordinates multiple flexible resources to reduce energy costs and peak valley differences with load electricity consumption. Among them, the abandoned photovoltaic rate is reduced by 16.4 %, improving the stability, economy, and environmental protection of the park operation.