吉林大学学报（信息科学版）2026，Vol.44Issue(3)：505-512,8.
计及需求响应的主动配电网低碳优化调度
Low-Carbon Optimal Scheduling of Active Distribution Networks Considering Demand Response
摘要
Abstract
With growing demands for energy efficiency and carbon reduction in power grid operation,addressing the shortcomings of traditional scheduling approaches has become increasingly urgent.A hierarchical carbon trading mechanism is integrated with user-side responsiveness to construct a demand-side response model under carbon constraints.To enhance the solution process,the white shark optimizer is improved through chaotic initialization,directional update,and cosine mutation strategies,mitigating issues such as limited convergence accuracy and susceptibility to local optima.An optimal scheduling model for the active distribution network is formulated,targeting the minimization of operational costs.The refined algorithm is employed to solve the model,with simulation outcomes demonstrating its effectiveness and accuracy.Experimental results indicate that the proposed method significantly improves energy scheduling performance while supporting low-carbon objectives,and holds potential for broader application in smart grids incorporating renewable energy sources.关键词
主动配电网/改进的白鲨优化算法/碳交易/需求响应Key words
active distribution network/improved white shark optimization algorithm/carbon trading/demand response分类
信息技术与安全科学引用本文复制引用
高金兰,李凯,徐爽..计及需求响应的主动配电网低碳优化调度[J].吉林大学学报（信息科学版）,2026,44(3):505-512,8.基金项目
黑龙江省自然科学基金资助项目(LH2019E016) （LH2019E016）
