电力系统自动化2023，Vol.47Issue(24)：80-89,10.DOI:10.7500/AEPS20230627006
计及激励型响应不确定性的变电站规划分布鲁棒优化方法
Distributionally Robust Optimization Method for Substation Planning Considering Incentive-based Response Uncertainty
摘要
Abstract
A distributionally robust optimization method for substation planning is proposed to address the problem that the existing substation planning has not fully considered the lack of fine-grained solutions due to the uncertainty of incentive-based demand response.Firstly,comprehensively considering the contracting cost,response cost and penalty benefit of the demand response,a mixed-integer linear programming(MILP)model for the substation location and capacity determination is developed by taking into account the source-load matching and incentive-based demand response.Secondly,an uncertain fuzzy set based on 1-norm and∞-norm demand response and distributed generator output is constructed,and a two-stage three-level distributionally robust optimization model based on multiple discrete scenarios is established according to the improvement of MILP model.Then,a master problem and sub-problem iterative algorithm based on column-and-constraint generation(C&CG)is used to achieve the solution using a commercial solver.Finally,the effectiveness and practicality of the proposed method are verified by a practical arithmetic case in a region.关键词
变电站规划/需求响应/不确定性/分布鲁棒优化Key words
substation planning/demand response/uncertainty/distributionally robust optimization引用本文复制引用
葛少云,范庆飞,刘洪,韩俊,程亮,徐正阳,蔡超..计及激励型响应不确定性的变电站规划分布鲁棒优化方法[J].电力系统自动化,2023,47(24):80-89,10.基金项目
国家电网公司总部科技项目(适应新型配电系统的能源网格规划优化技术研究,5400-202218151A-1-1-ZN).This work is supported by State Grid Corporation of China(Research on Energy Mesh Optimal Planning Suitable for Novel Power Distribution System,No.5400-202218151A-1-1-ZN). （适应新型配电系统的能源网格规划优化技术研究,5400-202218151A-1-1-ZN）
