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The application discloses a new energy photovoltaic power generation access power distribution network risk assessment method and system, belongs to the power distribution network operation safety technical field, including: collecting illumination resource data and power distribution network load data, through empirical mode decomposition, Copula function and improved Latin hypercube sampling to generate basic data set covering typical and extreme scenarios; a coupling evaluation model combining graph neural network and risk propagation theory is constructed, an improved CRITIC-entropy weight method is used to dynamically weight multi-dimensional risk indexes, and a time-varying comprehensive risk grade matrix is output; the risk characteristics are analyzed and the pre-constructed measure risk knowledge graph is matched, a dynamic self-adaptive response scheme is generated through conflict checking and priority sorting; the scheme is verified in a digital twin power distribution network simulation model, and when the scheme does not meet the standard, the model parameters and the basic data set are updated through incremental data feedback; the application improves the comprehensiveness and timeliness of risk assessment.