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The application discloses a zero-carbon park inter-energy fusion-oriented charging load and industrial load collaborative optimization method, relates to the technical field of energy internet and power system optimization control, acquires park multi-source data, constructs a double-network model of a traffic network and a power distribution network, and takes a charging station as a shared node; a site side and a power grid side risk field is inferred based on a space-time graph neural network; an inter-energy consistency checker IEC is constructed to generate a zero setting gate matrix to form a feasible candidate set; a multi-objective mixed integer programming collaborative scheduling model is solved under the constraint of the feasible candidate set, a bilateral trigger type safety valve slack variable is introduced to generate a bottleneck evidence bag; a key bottleneck object set is determined based on a constraint shadow price distribution and a zero setting ratio distribution, an expansion candidate set is generated, an evidence chain expansion planning model is constructed to obtain an expansion scheme, a feasible region improvement constraint judgment is executed, and rewriting is performed into rolling optimization.