电力系统保护与控制2025，Vol.53Issue(19)：39-51,13.DOI:10.19783/j.cnki.pspc.241673
基于信息间隙决策理论的多区域电网源-储-荷灵活优化运行策略
Flexible optimal operation strategy for source-storage-load in multi-regional power grids based on information gap decision theory
摘要
Abstract
With the increasing penetration of renewable energy,the volatility and uncertainty of power systems are growing.To achieve flexibility optimization scheduling under expected cost framework while accounting for uncertainties,this paper proposes a multi-regional source-storage-load flexible optimal operation strategy based on information gap decision theory(IGDT).First,for the application scenario of multiple pumped hydro storage(PHS)stations in the East China Grid providing multi-regional supply flexibility,a refined joint scheduling model of multiple PHS stations is established.Next,a source-storage-load flexibility optimization scheduling model that considers resource characteristics is developed,and the output of this deterministic model serves as the baseline cost for the IGDT strategy.Then,by incorporating load and renewable energy uncertainties,a robust model and a risk model are proposed,thereby forming an IGDT-based flexibility optimization scheduling model.Finally,case studies demonstrate that the proposed strategy achieves flexibility optimization scheduling of multi-regional power grids under expected costs while accounting for uncertainties.Moreover,it quantifies the tolerance range of grid uncertainty and flexibility under expected costs,as well as the impacts of uncertain factors on flexible scheduling.关键词
灵活性优化调度/信息间隙决策理论/电力系统不确定性/抽水蓄能电站/灵活性需求Key words
flexibility optimization scheduling/information gap decision theory(IGDT)/power system uncertainty/pumped hydro storage(PHS)stations/flexibility demand引用本文复制引用
李东东,申润祺,杨帆,滕晓毕,陈新仪..基于信息间隙决策理论的多区域电网源-储-荷灵活优化运行策略[J].电力系统保护与控制,2025,53(19):39-51,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.52377111). 国家自然科学基金项目资助(52377111) （No.52377111）
国家电网有限公司华东分部项目资助(SGHD0000DKJS2310440) （SGHD0000DKJS2310440）
