电力系统自动化2018，Vol.42Issue(11)：32-40,9.DOI:10.7500/AEPS20170622010
计及灵活性的检修—运行协同优化模型及算法
Collaborative Optimization Model and Algorithm of Maintenance and Operation Considering Flexibility
摘要
Abstract
To improve the operation flexibility of power system with integrated wind power,a method of maintenance and operation decision based on scenario analysis and collaborative optimization is proposed.The typical scenario set of wind power output is obtained via K-medoids clustering method,and the target scenario set size is determined according to the typicality evaluation indices.With economy and flexibility as the goal,a maintenance-operation bilevel collaborative optimization model combined with multi-scenario economic dispatch is formulated.To improve the solving efficiency,an improved Benders decomposition method with light tolerance of power flow limit violation is introduced to reduce the dimension of the constraint matrix in the main problem of operation optimization.Lagrangian relaxation technique and multiplier update mechanism help to coordinate the maintenance schedule and operation optimization.The case study shows that the proposed method can effectively optimize the economy and flexibility of maintenance and operation decision.关键词
灵活性/场景分析/协同优化/检修决策/机组组合/改进Benders分解/拉格朗日松弛Key words
flexibility/scenario analysis/collaborative optimization/maintenance decision/unit commitment/improved Benders decomposition/Lagrangian relaxation引用本文复制引用
许奕斌,章禹,何宇斌,郭创新,朱炳铨,项中明..计及灵活性的检修—运行协同优化模型及算法[J].电力系统自动化,2018,42(11):32-40,9.基金项目
国家自然科学基金重点项目(51537010).本文受到国网浙江省电力公司科技项目(5211SX1500R4)资助,谨此致谢!This work is supported by the State Key Program of National Natural Science Foundation of China(No.51537010). （51537010）
