电力系统保护与控制2024，Vol.52Issue(3)：38-50,13.DOI:10.19783/j.cnki.pspc.230861
基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法
Robust scheduling method for AC/DC hybrid distribution networks based on a data-driven polyhedral set
摘要
Abstract
A data-driven polyhedron-based robust scheduling method for AC/DC hybrid distribution networks is proposed to address the lack of consideration of uncertain parameter correlation in existing robust scheduling methods.First,a traditional polyhedral set of distributed photovoltaic output is constructed,and a correlation envelope graph is driven by historical data,and the correlation polyhedral set model is established by bending the polyhedral set boundary.Second,based on this,a data-driven polyhedral set model is established to address the issues of poor robustness and high conservatism in correlated polyhedral sets.Then,a robust scheduling model for AC/DC hybrid distribution networks based on data-driven polyhedral sets is established,and a column and constraint generation(CCG)algorithm is used to analyze the robust scheduling model.Finally,the simulation results of the improved IEEE33 node system show that the proposed scheduling method can reduce the conservatism of the optimization results and improve their robustness,proving the effectiveness of the method.关键词
两阶段鲁棒优化/相关性多面体集合/交直流混合配电网/经济调度/CCG算法Key words
two-stage robust optimization/correlated polyhedral set/AC/DC hybrid distribution network/economic dispatch/CCG algorithm引用本文复制引用
童潇宁,王月强,仇张权,黄阳,乐健,任意..基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法[J].电力系统保护与控制,2024,52(3):38-50,13.基金项目
This work is supported by the Science and Technology Project of State Grid Corporation of China(No.5209KZ220008). 国家电网有限公司科技项目资助(5209KZ220008) （No.5209KZ220008）
