电力系统自动化2017，Vol.41Issue(21)：119-126,146,9.DOI:10.7500/AEPS20161228012
基于Benders分解的独立型微电网鲁棒优化容量配置模型
Capacity Configuration Model for Robust Optimization of Stand-alone Microgrid Based on Benders Decomposition
摘要
Abstract
To improve the robustness of power source configuration for stand-alone microgrid,a double layer configuration model for robust power source capacity is built considering the intermittency and volatility of wind,solar radiation and load. The outer layer is the master problem regarding power source capacity optimization,the inner layer is the subproblem regarding operational optimization including uncertainty sets of wind,solar radiation and load.The dual problem is established to decouple the subproblem and the bilinear terms in the subproblem are converted to linear terms using the big M method, iterate the master problem and subproblem alternatively until the optimal solution is obtained.The proposed method is compared with improved non-dominant sorting genetic algorithm (NSGA-Ⅱ) in the test case.The testing result shows the robust performance and solving efficiency of the proposed model is higher than usual.The rationality and effectiveness of the model is verified.关键词
微电网(微网)/优化配置/鲁棒优化/Benders分解/不确定集Key words
microgrid/optimal configuration/robust optimization/Benders decomposition/uncertainty sets引用本文复制引用
刘思夷,赵波,汪湘晋,邱海峰,林湘宁..基于Benders分解的独立型微电网鲁棒优化容量配置模型[J].电力系统自动化,2017,41(21):119-126,146,9.基金项目
国家高技术研究发展计划(863计划)资助项目(2015AA050104).本文的研究工作受到国网浙江省电力公司科技项目(5211DS15002A)资助,谨此致谢.This work is supported by National High Technology Research and Development Program of China (863 Program) (No.2015AA050104). （863计划）
