计及风电相关性与需求响应的多目标低碳经济调度方法OA

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.