针对可再生能源出力不确定性以及绿证-碳交易市场割裂问题，提出了基于绿证-碳交易联合机制的多区域综合能源系统分布式鲁棒优化调度方法。首先，构建了包含电、热、气、冷多能流的多区域综合能源系统互联架构。其次，设计了一种基于价格联动的绿证-碳交易联合交互机制。通过引入动态折算系数，量化绿证环境权益与碳配额的转化关系，刻画绿证与碳市场间的价值传导过程，从而实现两类市场环境价值的协同激励。最后，基于综合范数约束构建风光出力概率分布模糊集，建立了以系统综合运行成本最小为目标的两阶段分布鲁棒优化调度模型。算例结果表明，绿证-碳交易联合机制能够有效降低系统运行成本和碳排放水平。

To address the uncertainty of renewable energy output and the fragmentation between green certificate and carbon trading markets, a distributed robust optimization scheduling method for multi-regional integrated energy systems based on a green certificate-carbon trading joint mechanism is proposed. Firstly, an interconnected architecture for multi-regional integrated energy systems encompassing electricity, heat, gas, and cooling multi-energy flows is constructed. Secondly, a price-linked green certificate-carbon trading joint interaction mechanism is designed. By introducing a dynamic conversion coefficient, the transformation relationship between the environmental rights of green certificates and carbon quotas is quantified, capturing the value transmission process between the green certificate-carbon trading markets, thereby achieving synergistic incentives for the environmental value of both markets. Finally, a two-stage distributionally robust optimization scheduling model is established, aiming to minimize the system's comprehensive operating costs, based on constructing a fuzzy set for the probability distribution of wind and solar power output under comprehensive norm constraints. Case study results demonstrate that the green certificate-carbon trading joint mechanism can effectively reduce system operating costs and carbon emission levels.