Abstract: To address the operational risks in distribution networks caused by the integration of wind and photovoltaic power, a novel security assessment framework is proposed, which integrates the characteristics of distributed generation with the requirements of dynamic reconfiguration in distribution networks. This framework comprehensively considers the impact of uncertainties in wind and photovoltaic power output as well as load fluctuations on the stability of the distribution network, while also accounting for security under different operational states. The Halton sequence sampling technique is employed to accurately simulate the output of distributed generation and the states of system components. Combined with CPLEX optimization, a dynamic reconfiguration model is constructed to restore potential faults in the distribution network. Furthermore, the entropy weight-analytic hierarchy process comprehensive weighting method is applied to assess risks using indicators such as voltage violations, power flow violations, and load loss. Compared to traditional risk assessment methods for distribution networks, this proposed approach is more comprehensive and offers better applicability. It also provides corresponding recommendations for the capacity configuration and access locations of distributed generation. Simulations on the IEEE 33-node and IEEE 118-node systems validate the effectiveness of the proposed method, offering new insights for improving the security and reliability of distribution networks.