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.