可再生能源2026，Vol.44Issue(4)：523-532,10.
计及风电相关性与需求响应的多目标低碳经济调度方法
A multi-objective low-carbon economic dispatch method considering wind power correlation and demand response
摘要
Abstract
The article proposes a multi-objective low-carbon economic dispatch method that accounts for wind power correlation and demand response.First,by integrating the D-vine Copula model with the ABKDE interval prediction method,a correlation model for the output of multiple wind farms is constructed.Typical scenarios are then generated through the backward scenario reduction method,thereby providing reliable data support for dispatch optimization.Second,a multi-objective low-carbon economic stochastic optimal dispatch model is developed,in which the Normalized Normal Constraint(NNC)method is employed to generate a uniformly distributed Pareto frontier,and the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)is used to select the optimal dispatch scheme.Meanwhile,price-based and incentive-based demand response mechanisms are introduced to fully exploit the regulation potential of flexible resources on the demand side.Simulation results demonstrate that the proposed method can accurately characterize the correlated output features of wind power.Compared with the scenario optimized under a single economic objective,it significantly reduces carbon emissions,while also reducing operating costs by 7%compared with the scenario optimized under a single low-carbon objective.关键词
低碳经济调度/D藤Copula模型/区间预测/需求响应/多目标优化Key words
low-carbon economic dispatch/D-vine Copula model/interval prediction/demand response/multi objective optimization分类
能源科技引用本文复制引用
赵文猛,王恒震,周保荣,毛田,王滔,仪忠凯,徐英..计及风电相关性与需求响应的多目标低碳经济调度方法[J].可再生能源,2026,44(4):523-532,10.基金项目
中国南方电网公司"数字电网"开放基金项目(DPGCSG-2024-KF-38). （DPGCSG-2024-KF-38）
