分布式能源2025，Vol.10Issue(6)：25-33,9.DOI:10.16513/j.2096-2185.DE.25100300
基于机会约束的先进绝热压缩空气储能系统容量配置策略
Capacity Configuration Strategy for Advanced Adiabatic Compressed Air Energy Storage Based on Chance Constraints
摘要
Abstract
High-penetration renewable energy systems exhibit pronounced uncertainty.As an emerging long-duration physical energy storage technology,advanced adiabatic compressed air energy storage(AA-CAES)provides valuable support for enhancing system flexibility and regulation capability.However,conventional robust planning typically adopts conservative configurations across all scenarios,making it difficult to accurately characterize the risk of power and energy limit violations in storage operation.To address this gap,this study proposes an AA-CAES capacity optimization method that incorporates wind-photovoltaic uncertainty and achieves an effective trade-off between economic performance and operational risk through chance constraints.First,a chance-constrained model is developed to bound the violation probabilities of AA-CAES charging/discharging power and energy capacity at prescribed confidence levels,and binary variables combined with a big-M linearization strategy are employed to reformulate the problem as a mixed-integer linear program(MILP).Second,a multi-scenario stochastic planning framework is constructed to represent the temporal variability of renewable resources.Finally,simulation studies and confidence-level sensitivity analyses are conducted.The results demonstrate that,compared with stochastic planning without chance constraints,the proposed method effectively controls violation risk while maintaining superior system cost performance,thereby enhancing both reliability and economic efficiency.关键词
先进绝热压缩空气储能(AA-CAES)/容量配置/机会约束/风光不确定性/置信水平/新能源不确定性Key words
advanced adiabatic compressed air energy storage(AA-CAES)/capacity allocation/chance constraints/wind-photovoltaic uncertainty/confidence level/new energy uncertainty分类
能源科技引用本文复制引用
GUO Xiao,CHEN Laijun,GUO Junbo,GAO Ruiyan,LI Jianhua,CUI Sen..基于机会约束的先进绝热压缩空气储能系统容量配置策略[J].分布式能源,2025,10(6):25-33,9.基金项目
中国三峡新能源(集团)股份有限公司科研项目(15044105)This work is supported by the Scientific Research Project of China Three Gorges New Energy(Group)Co.,Ltd.(15044105) （集团）
