电力系统保护与控制2026，Vol.54Issue(5)：61-75,15.DOI:10.19783/j.cnki.pspc.250534
基于改进决策树的安全约束经济调度的冗余约束识别方法
An identification method for redundant constraints in safety-constrained economic dispatch based on improved decision tree
摘要
Abstract
Currently,there is a lack of fast and effective methods for identifying redundant constraints in security-constrained economic dispatch(SCED).Moreover,data-driven approaches are prone to false positive(FP)misclassification,which may compromise system security.To address these issues,an improved decision tree(DT)algorithm,namely,an improved classification and regression tree(CART)algorithm combined with an enhanced reduced error pruning(REP)strategy,is proposed for rapid redundant constraints identification.First,the SCED model and the principles of CART are introduced.Second,feature engineering and data preprocessing methods for redundant constraint identification are constructed.Then,an improved CART algorithm incorporating a FP penalty mechanism and a REP strategy based on the FP ratio are proposed.Finally,case studies on the SG-126 system demonstrate that the proposed algorithm can quickly and accurately identify redundant constraints while effectively adapting to extreme FP-sensitive scenarios.The accuracy rate of redundant constraint identification reaches 95.13%,with a FP misclassification rate of zero,and system dispatch time is reduced by 88.22%after eliminating redundant constraints.关键词
安全约束经济调度/冗余约束识别/分类回归树/错误率降低剪枝Key words
security-constrained economic dispatch(SCED)/redundant constraint identification/classification and regression tree(CART)/reduced error pruning(REP)引用本文复制引用
夏卓延,张大海,严嘉豪,李振宇,毛文博,杨大坤..基于改进决策树的安全约束经济调度的冗余约束识别方法[J].电力系统保护与控制,2026,54(5):61-75,15.基金项目
This work is supported by the National Key Research and Development Program of China(No.2022YFB2403400). 国家重点研发计划项目资助(2022YFB2403400) （No.2022YFB2403400）
